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• How to Do Thematic Analysis | Step-by-Step Guide & Examples

How to Do Thematic Analysis | Step-by-Step Guide & Examples

Published on September 6, 2019 by Jack Caulfield . Revised on June 22, 2023.

Thematic analysis is a method of analyzing qualitative data . It is usually applied to a set of texts, such as an interview or transcripts . The researcher closely examines the data to identify common themes – topics, ideas and patterns of meaning that come up repeatedly.

There are various approaches to conducting thematic analysis, but the most common form follows a six-step process: familiarization, coding, generating themes, reviewing themes, defining and naming themes, and writing up. Following this process can also help you avoid confirmation bias when formulating your analysis.

This process was originally developed for psychology research by Virginia Braun and Victoria Clarke . However, thematic analysis is a flexible method that can be adapted to many different kinds of research.

Table of contents

When to use thematic analysis, different approaches to thematic analysis, step 1: familiarization, step 2: coding, step 3: generating themes, step 4: reviewing themes, step 5: defining and naming themes, step 6: writing up, other interesting articles.

Thematic analysis is a good approach to research where you’re trying to find out something about people’s views, opinions, knowledge, experiences or values from a set of qualitative data – for example, interview transcripts , social media profiles, or survey responses .

Some types of research questions you might use thematic analysis to answer:

• How do patients perceive doctors in a hospital setting?
• What are young women’s experiences on dating sites?
• What are non-experts’ ideas and opinions about climate change?
• How is gender constructed in high school history teaching?

To answer any of these questions, you would collect data from a group of relevant participants and then analyze it. Thematic analysis allows you a lot of flexibility in interpreting the data, and allows you to approach large data sets more easily by sorting them into broad themes.

However, it also involves the risk of missing nuances in the data. Thematic analysis is often quite subjective and relies on the researcher’s judgement, so you have to reflect carefully on your own choices and interpretations.

Pay close attention to the data to ensure that you’re not picking up on things that are not there – or obscuring things that are.

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Once you’ve decided to use thematic analysis, there are different approaches to consider.

There’s the distinction between inductive and deductive approaches:

• An inductive approach involves allowing the data to determine your themes.
• A deductive approach involves coming to the data with some preconceived themes you expect to find reflected there, based on theory or existing knowledge.

Ask yourself: Does my theoretical framework give me a strong idea of what kind of themes I expect to find in the data (deductive), or am I planning to develop my own framework based on what I find (inductive)?

There’s also the distinction between a semantic and a latent approach:

• A semantic approach involves analyzing the explicit content of the data.
• A latent approach involves reading into the subtext and assumptions underlying the data.

Ask yourself: Am I interested in people’s stated opinions (semantic) or in what their statements reveal about their assumptions and social context (latent)?

After you’ve decided thematic analysis is the right method for analyzing your data, and you’ve thought about the approach you’re going to take, you can follow the six steps developed by Braun and Clarke .

The first step is to get to know our data. It’s important to get a thorough overview of all the data we collected before we start analyzing individual items.

This might involve transcribing audio , reading through the text and taking initial notes, and generally looking through the data to get familiar with it.

Next up, we need to code the data. Coding means highlighting sections of our text – usually phrases or sentences – and coming up with shorthand labels or “codes” to describe their content.

Let’s take a short example text. Say we’re researching perceptions of climate change among conservative voters aged 50 and up, and we have collected data through a series of interviews. An extract from one interview looks like this:

In this extract, we’ve highlighted various phrases in different colors corresponding to different codes. Each code describes the idea or feeling expressed in that part of the text.

At this stage, we want to be thorough: we go through the transcript of every interview and highlight everything that jumps out as relevant or potentially interesting. As well as highlighting all the phrases and sentences that match these codes, we can keep adding new codes as we go through the text.

After we’ve been through the text, we collate together all the data into groups identified by code. These codes allow us to gain a a condensed overview of the main points and common meanings that recur throughout the data.

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Next, we look over the codes we’ve created, identify patterns among them, and start coming up with themes.

Themes are generally broader than codes. Most of the time, you’ll combine several codes into a single theme. In our example, we might start combining codes into themes like this:

At this stage, we might decide that some of our codes are too vague or not relevant enough (for example, because they don’t appear very often in the data), so they can be discarded.

Other codes might become themes in their own right. In our example, we decided that the code “uncertainty” made sense as a theme, with some other codes incorporated into it.

Again, what we decide will vary according to what we’re trying to find out. We want to create potential themes that tell us something helpful about the data for our purposes.

Now we have to make sure that our themes are useful and accurate representations of the data. Here, we return to the data set and compare our themes against it. Are we missing anything? Are these themes really present in the data? What can we change to make our themes work better?

If we encounter problems with our themes, we might split them up, combine them, discard them or create new ones: whatever makes them more useful and accurate.

For example, we might decide upon looking through the data that “changing terminology” fits better under the “uncertainty” theme than under “distrust of experts,” since the data labelled with this code involves confusion, not necessarily distrust.

Now that you have a final list of themes, it’s time to name and define each of them.

Defining themes involves formulating exactly what we mean by each theme and figuring out how it helps us understand the data.

Naming themes involves coming up with a succinct and easily understandable name for each theme.

For example, we might look at “distrust of experts” and determine exactly who we mean by “experts” in this theme. We might decide that a better name for the theme is “distrust of authority” or “conspiracy thinking”.

Finally, we’ll write up our analysis of the data. Like all academic texts, writing up a thematic analysis requires an introduction to establish our research question, aims and approach.

We should also include a methodology section, describing how we collected the data (e.g. through semi-structured interviews or open-ended survey questions ) and explaining how we conducted the thematic analysis itself.

The results or findings section usually addresses each theme in turn. We describe how often the themes come up and what they mean, including examples from the data as evidence. Finally, our conclusion explains the main takeaways and shows how the analysis has answered our research question.

In our example, we might argue that conspiracy thinking about climate change is widespread among older conservative voters, point out the uncertainty with which many voters view the issue, and discuss the role of misinformation in respondents’ perceptions.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Measures of central tendency
• Chi square tests
• Confidence interval
• Quartiles & Quantiles
• Cluster sampling
• Stratified sampling
• Discourse analysis
• Cohort study
• Peer review
• Ethnography

Research bias

• Implicit bias
• Cognitive bias
• Conformity bias
• Hawthorne effect
• Availability heuristic
• Attrition bias
• Social desirability bias

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How to Write a Thematic Essay

A thematic essay explores a central message or theme that runs through a piece of literature, a historical event, or even a societal trend. It analyzes evidence like characters' actions, plot development, or real-world examples to explain how this matter is revealed and unpack its significance, showing a deeper understanding of the subject at hand.

Here’s a quick breakdown of what is a thematic essay :

• Analyzes a central message (theme) in a text.
• Explains how the text explores that theme.
• Uses evidence (quotes, details) to support your analysis.
• Shows how the evidence connects to the overall theme.

If you’re having trouble with this type of assignment, feel free to use our paper writing service and streamline the process.

Dissecting a text's central message and how it unfolds can be a rewarding challenge. Here's a step-by-step breakdown to conquer your next thematic essay:

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Thematic Essay Checklist

• State a focused main argument about the theme.
• Hook the reader and introduce the theme.
• Begin each with a clear topic sentence related to the theme.
• Use specific examples, quotes, or facts.
• Explain how the evidence supports the thesis.
• Link analysis back to the central theme throughout.
• Ensure paragraphs and ideas progress logically.
• Summarize key points and restate the thesis.
• Check for clarity, coherence, and grammar.
• Properly cite sources used.

How to Pick a Thematic Topic

A crucial aspect of writing a good thematic essay is choosing a theme. Follow the hints listed below to help you create a thematic topic:

Thematic Essay Topics

• Star-Crossed Fate: Destiny in "Romeo and Juliet"
• Gatsby's Illusion: The Mirage of the American Dream
• Thoreau's Call to Action: Civil Disobedience and Its Echoes
• Grit and Grind: Industrial Strife in "Hard Times"
• Monster or Man? Isolation in "Frankenstein"
• Voices of Change: The Civil Rights Movement Unveiled
• Big Brother's Watch: Propaganda in "1984"
• Silent Scars: The Aftermath of War in "All Quiet on the Western Front"
• Pride, Prejudice, and Power: Women in Austen's World
• Cultural Cracks: Colonialism in "Things Fall Apart"
• Echoes of Justice: Moral Struggles in "To Kill a Mockingbird"
• Surviving Hard Times: Life During the Great Depression
• Invisible Chains: Identity in "Invisible Man"
• Worlds Apart: Control and Conformity in "Brave New World"
• Chains of Oppression: Freedom in "Uncle Tom's Cabin"
• Hester's Burden: Sin and Redemption in "The Scarlet Letter"
• Wired Society: The Tech Revolution's Impact
• Vengeance and Virtue: The Journey in "The Count of Monte Cristo"
• Island Power Struggles: Leadership in "Lord of the Flies"
• Dreams of Freedom: Martin Luther King Jr.'s Enduring Impact

How to Start a Thematic Essay

Every strong essay starts with a captivating introduction. For a thematic essay, this introduction should:

• Hook the reader: Grab their attention with a thought-provoking question, a relevant quote, or an interesting anecdote related to the theme.
• Introduce the topic: Briefly mention the literary work you'll be analyzing.
• State the theme: Clearly identify the central theme you'll be exploring.
• Preview the analysis: Briefly hint at how the theme is developed in the work.

Here's an example of a thematic essay introduction:

“Have you ever wondered why some stories keep coming back to the idea of forgiveness? In Harper Lee's classic novel To Kill a Mockingbird , the seemingly simple town of Maycomb grapples with racial injustice. However, beneath the surface lies a powerful exploration of the theme of forgiveness, where characters must confront their own prejudices and learn to let go of resentment. This essay will analyze how Lee uses character interactions, symbolism, and the trial of Tom Robinson to demonstrate the transformative power of forgiveness.”

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Thematic Essay Outline

A thematic essay structure has several key components. Primarily, it should be five paragraphs or more, depending on the depth of the theme. Next, it should have a concrete thesis statement, which is the thematic statement that comes from the main subject.

The introduction presents the reader with the subject and the thesis statement. The body paragraphs each discuss one literary element or more to defend the validity of your thesis, all the while providing many supporting details from the text itself. 

Lastly, the thematic essay conclusion summarizes the main points presented and finishes off with a statement of significance.

Learn more: How to create a winning outline .

Introduction

The thematic essay introduction presents the main subject of discussion captivatingly. The first sentence of the intro should be a hook statement that makes some intriguing claims about the subject of discussion. If done correctly, this will grab your reader's attention. 

Then, provide any necessary background information from the literature to help the audience understand your claims later. Lastly, put together a well-thought-out thesis statement that reflects the novel's central theme.

Body Paragraphs

The body paragraphs follow a thematic essay format. Since each body paragraph’s purpose should be to present a literary device as evidence, the topic sentence should introduce the claim and gateway into the evidence. Every topic sentence must mention a literary device and its relationship to the literature.

Afterward, to validate your claim, use examples from the book that strengthen the reasoning of your statement. These can be actions from the plot or quotations parallel with the central theme. Explaining how the action/quote links back to your thesis statement is imperative, as it shows that you can support your logic.

Remember : Each claim must use a literary device. It can not just be a random moment or inference. Thematic essays are all about proving thesis statements through critical literary devices.

The thematic essay conclusion has three main objectives before wrapping up the paper. It should not present any new information or facts but summarize the information already given. First of all, restate your thesis statement in a new way. 

Then, summarize the central claims you made within the body of your paper and their influence on the thesis statement. To finish off the entire work, present an overall concluding statement with a global analysis of the subject. Leave your reader with another hook, making him/her interested in digging deeper into the topic.

Learn more: Poetry analysis essay . 

Try also read an article on poetry analysis essay , it could be useful and can give you new insights.

Thematic Essay Example

The best way to familiarize yourself with this type of writing is to learn from thematic essay examples.

Wrap Things Up

Thematic essays are a powerful tool for students. They unlock deeper meaning in texts, sharpen critical thinking and analytical skills, and build strong writing foundations.

Before submitting your thematic essay, cross off all these items from the to-do list.

Learn more: Jem Finch character traits .

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What Is a Thematic Essay?

How to write a thematic essay, what is the main point of a thematic essay.

is an expert in nursing and healthcare, with a strong background in history, law, and literature. Holding advanced degrees in nursing and public health, his analytical approach and comprehensive knowledge help students navigate complex topics. On EssayPro blog, Adam provides insightful articles on everything from historical analysis to the intricacies of healthcare policies. In his downtime, he enjoys historical documentaries and volunteering at local clinics.

• Updated writing steps.
• Added new topics.
• Added a new example.
• Added a checklist.
• https://www.wboro.org/cms/lib/NY01914047/Centricity/Domain/1006/Thematic%20Essays%20Helpful%20Hints.pdf
• Thematic Essay - Regents Exam Rubric  | New Visions - Social Studies. (n.d.). New Visions - Social Studies. https://curriculum.newvisions.org/social-studies/resources/resource/thematic-essay-regents-exam-rubric/
• How to Structure Your Essay Introduction | Essay Writing Part 2. (2023, October 31). Matrix Education. https://www.matrix.edu.au/essay-writing-guide/how-to-structure-your-essay-introduction/  

What (Exactly) Is Thematic Analysis?

Plain-Language Explanation & Definition (With Examples)

By: Jenna Crosley (PhD). Expert Reviewed By: Dr Eunice Rautenbach | April 2021

Thematic analysis is one of the most popular qualitative analysis techniques we see students opting for at Grad Coach – and for good reason. Despite its relative simplicity, thematic analysis can be a very powerful analysis technique when used correctly. In this post, we’ll unpack thematic analysis using plain language (and loads of examples) so that you can conquer your analysis with confidence.

Thematic Analysis 101

• Basic terminology relating to thematic analysis
• What is thematic analysis
• When to use thematic analysis
• The main approaches to thematic analysis
• The three types of thematic analysis
• How to “do” thematic analysis (the process)
• Tips and suggestions

First, the lingo…

Before we begin, let’s first lay down some terminology. When undertaking thematic analysis, you’ll make use of codes . A code is a label assigned to a piece of text, and the aim of using a code is to identify and summarise important concepts within a set of data, such as an interview transcript.

For example, if you had the sentence, “My rabbit ate my shoes”, you could use the codes “rabbit” or “shoes” to highlight these two concepts. The process of assigning codes is called qualitative coding . If this is a new concept to you, be sure to check out our detailed post about qualitative coding .

Codes are vital as they lay a foundation for themes . But what exactly is a theme? Simply put, a theme is a pattern that can be identified within a data set. In other words, it’s a topic or concept that pops up repeatedly throughout your data. Grouping your codes into themes serves as a way of summarising sections of your data in a useful way that helps you answer your research question(s) and achieve your research aim(s).

Alright – with that out of the way, let’s jump into the wonderful world of thematic analysis…

What is thematic analysis?

Thematic analysis is the study of patterns to uncover meaning . In other words, it’s about analysing the patterns and themes within your data set to identify the underlying meaning. Importantly, this process is driven by your research aims and questions , so it’s not necessary to identify every possible theme in the data, but rather to focus on the key aspects that relate to your research questions .

Although the research questions are a driving force in thematic analysis (and pretty much all analysis methods), it’s important to remember that these questions are not necessarily fixed . As thematic analysis tends to be a bit of an exploratory process, research questions can evolve as you progress with your coding and theme identification.

When should you use thematic analysis?

There are many potential qualitative analysis methods that you can use to analyse a dataset. For example, content analysis , discourse analysis , and narrative analysis are popular choices. So why use thematic analysis?

Thematic analysis is highly beneficial when working with large bodies of data ,  as it allows you to divide and categorise large amounts of data in a way that makes it easier to digest. Thematic analysis is particularly useful when looking for subjective information , such as a participant’s experiences, views, and opinions. For this reason, thematic analysis is often conducted on data derived from interviews , conversations, open-ended survey responses , and social media posts.

Your research questions can also give you an idea of whether you should use thematic analysis or not. For example, if your research questions were to be along the lines of:

• How do dog walkers perceive rules and regulations on dog-friendly beaches?
• What are students’ experiences with the shift to online learning?
• What opinions do health professionals hold about the Hippocratic code?
• How is gender constructed in a high school classroom setting?

These examples are all research questions centering on the subjective experiences of participants and aim to assess experiences, views, and opinions. Therefore, thematic analysis presents a possible approach.

In short, thematic analysis is a good choice when you are wanting to categorise large bodies of data (although the data doesn’t necessarily have to be large), particularly when you are interested in subjective experiences .

What are the main approaches?

Broadly speaking, there are two overarching approaches to thematic analysis: inductive and deductive . The approach you take will depend on what is most suitable in light of your research aims and questions. Let’s have a look at the options.

The inductive approach

The inductive approach involves deriving meaning and creating themes from data without any preconceptions . In other words, you’d dive into your analysis without any idea of what codes and themes will emerge, and thus allow these to emerge from the data.

For example, if you’re investigating typical lunchtime conversational topics in a university faculty, you’d enter the research without any preconceived codes, themes or expected outcomes. Of course, you may have thoughts about what might be discussed (e.g., academic matters because it’s an academic setting), but the objective is to not let these preconceptions inform your analysis.

The inductive approach is best suited to research aims and questions that are exploratory in nature , and cases where there is little existing research on the topic of interest.

The deductive approach

In contrast to the inductive approach, a deductive approach involves jumping into your analysis with a pre-determined set of codes . Usually, this approach is informed by prior knowledge and/or existing theory or empirical research (which you’d cover in your literature review ).

For example, a researcher examining the impact of a specific psychological intervention on mental health outcomes may draw on an existing theoretical framework that includes concepts such as coping strategies, social support, and self-efficacy, using these as a basis for a set of pre-determined codes.

The deductive approach is best suited to research aims and questions that are confirmatory in nature , and cases where there is a lot of existing research on the topic of interest.

Regardless of whether you take the inductive or deductive approach, you’ll also need to decide what level of content your analysis will focus on – specifically, the semantic level or the latent level.

A semantic-level focus ignores the underlying meaning of data , and identifies themes based only on what is explicitly or overtly stated or written – in other words, things are taken at face value.

In contrast, a latent-level focus concentrates on the underlying meanings and looks at the reasons for semantic content. Furthermore, in contrast to the semantic approach, a latent approach involves an element of interpretation , where data is not just taken at face value, but meanings are also theorised.

“But how do I know when to use what approach?”, I hear you ask.

Well, this all depends on the type of data you’re analysing and what you’re trying to achieve with your analysis. For example, if you’re aiming to analyse explicit opinions expressed in interviews and you know what you’re looking for ahead of time (based on a collection of prior studies), you may choose to take a deductive approach with a semantic-level focus.

On the other hand, if you’re looking to explore the underlying meaning expressed by participants in a focus group, and you don’t have any preconceptions about what to expect, you’ll likely opt for an inductive approach with a latent-level focus.

Simply put, the nature and focus of your research, especially your research aims , objectives and questions will  inform the approach you take to thematic analysis.

What are the types of thematic analysis?

Now that you’ve got an understanding of the overarching approaches to thematic analysis, it’s time to have a look at the different types of thematic analysis you can conduct. Broadly speaking, there are three “types” of thematic analysis:

• Reflexive thematic analysis
• Codebook thematic analysis
• Coding reliability thematic analysis

Let’s have a look at each of these:

Reflexive thematic analysis takes an inductive approach, letting the codes and themes emerge from that data. This type of thematic analysis is very flexible, as it allows researchers to change, remove, and add codes as they work through the data. As the name suggests, reflexive thematic analysis emphasizes the active engagement of the researcher in critically reflecting on their assumptions, biases, and interpretations, and how these may shape the analysis.

Reflexive thematic analysis typically involves iterative and reflexive cycles of coding, interpreting, and reflecting on data, with the aim of producing nuanced and contextually sensitive insights into the research topic, while at the same time recognising and addressing the subjective nature of the research process.

Codebook thematic analysis , on the other hand, lays on the opposite end of the spectrum. Taking a deductive approach, this type of thematic analysis makes use of structured codebooks containing clearly defined, predetermined codes. These codes are typically drawn from a combination of existing theoretical theories, empirical studies and prior knowledge of the situation.

Codebook thematic analysis aims to produce reliable and consistent findings. Therefore, it’s often used in studies where a clear and predefined coding framework is desired to ensure rigour and consistency in data analysis.

Coding reliability thematic analysis necessitates the work of multiple coders, and the design is specifically intended for research teams. With this type of analysis, codebooks are typically fixed and are rarely altered.

The benefit of this form of analysis is that it brings an element of intercoder reliability where coders need to agree upon the codes used, which means that the outcome is more rigorous as the element of subjectivity is reduced. In other words, multiple coders discuss which codes should be used and which shouldn’t, and this consensus reduces the bias of having one individual coder decide upon themes.

Quick Recap: Thematic analysis approaches and types

To recap, the two main approaches to thematic analysis are inductive , and deductive . Then we have the three types of thematic analysis: reflexive, codebook and coding reliability . Which type of thematic analysis you opt for will need to be informed by factors such as:

• The approach you are taking. For example, if you opt for an inductive approach, you’ll likely utilise reflexive thematic analysis.
• Whether you’re working alone or in a group . It’s likely that, if you’re doing research as part of your postgraduate studies, you’ll be working alone. This means that you’ll need to choose between reflexive and codebook thematic analysis.

Now that we’ve covered the “what” in terms of thematic analysis approaches and types, it’s time to look at the “how” of thematic analysis.

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How to “do” thematic analysis

At this point, you’re ready to get going with your analysis, so let’s dive right into the thematic analysis process. Keep in mind that what we’ll cover here is a generic process, and the relevant steps will vary depending on the approach and type of thematic analysis you opt for.

Step 1: Get familiar with the data

The first step in your thematic analysis involves getting a feel for your data and seeing what general themes pop up. If you’re working with audio data, this is where you’ll do the transcription , converting audio to text.

At this stage, you’ll want to come up with preliminary thoughts about what you’ll code , what codes you’ll use for them, and what codes will accurately describe your content. It’s a good idea to revisit your research topic , and your aims and objectives at this stage. For example, if you’re looking at what people feel about different types of dogs, you can code according to when different breeds are mentioned (e.g., border collie, Labrador, corgi) and when certain feelings/emotions are brought up.

As a general tip, it’s a good idea to keep a reflexivity journal . This is where you’ll write down how you coded your data, why you coded your data in that particular way, and what the outcomes of this data coding are. Using a reflexive journal from the start will benefit you greatly in the final stages of your analysis because you can reflect on the coding process and assess whether you have coded in a manner that is reliable and whether your codes and themes support your findings.

As you can imagine, a reflexivity journal helps to increase reliability as it allows you to analyse your data systematically and consistently. If you choose to make use of a reflexivity journal, this is the stage where you’ll want to take notes about your initial codes and list them in your journal so that you’ll have an idea of what exactly is being reflected in your data. At a later stage in the analysis, this data can be more thoroughly coded, or the identified codes can be divided into more specific ones.

Step 2: Search for patterns or themes in the codes

Step 2! You’re going strong. In this step, you’ll want to look out for patterns or themes in your codes. Moving from codes to themes is not necessarily a smooth or linear process. As you become more and more familiar with the data, you may find that you need to assign different codes or themes according to new elements you find. For example, if you were analysing a text talking about wildlife, you may come across the codes, “pigeon”, “canary” and “budgerigar” which can fall under the theme of birds.

As you work through the data, you may start to identify subthemes , which are subdivisions of themes that focus specifically on an aspect within the theme that is significant or relevant to your research question. For example, if your theme is a university, your subthemes could be faculties or departments at that university.

In this stage of the analysis, your reflexivity journal entries need to reflect how codes were interpreted and combined to form themes.

Step 3: Review themes

By now you’ll have a good idea of your codes, themes, and potentially subthemes. Now it’s time to review all the themes you’ve identified . In this step, you’ll want to check that everything you’ve categorised as a theme actually fits the data, whether the themes do indeed exist in the data, whether there are any themes missing , and whether you can move on to the next step knowing that you’ve coded all your themes accurately and comprehensively . If you find that your themes have become too broad and there is far too much information under one theme, it may be useful to split this into more themes so that you’re able to be more specific with your analysis.

In your reflexivity journal, you’ll want to write about how you understood the themes and how they are supported by evidence, as well as how the themes fit in with your codes. At this point, you’ll also want to revisit your research questions and make sure that the data and themes you’ve identified are directly relevant to these questions .

Step 4: Finalise Themes

By this point, your analysis will really start to take shape. In the previous step, you reviewed and refined your themes, and now it’s time to label and finalise them . It’s important to note here that, just because you’ve moved onto the next step, it doesn’t mean that you can’t go back and revise or rework your themes. In contrast to the previous step, finalising your themes means spelling out what exactly the themes consist of, and describe them in detail . If you struggle with this, you may want to return to your data to make sure that your data and coding do represent the themes, and if you need to divide your themes into more themes (i.e., return to step 3).

When you name your themes, make sure that you select labels that accurately encapsulate the properties of the theme . For example, a theme name such as “enthusiasm in professionals” leaves the question of “who are the professionals?”, so you’d want to be more specific and label the theme as something along the lines of “enthusiasm in healthcare professionals”.

It is very important at this stage that you make sure that your themes align with your research aims and questions . When you’re finalising your themes, you’re also nearing the end of your analysis and need to keep in mind that your final report (discussed in the next step) will need to fit in with the aims and objectives of your research.

In your reflexivity journal, you’ll want to write down a few sentences describing your themes and how you decided on these. Here, you’ll also want to mention how the theme will contribute to the outcomes of your research, and also what it means in relation to your research questions and focus of your research.

By the end of this stage, you’ll be done with your themes – meaning it’s time to write up your findings and produce a report.

Step 5: Produce your report

You’re nearly done! Now that you’ve analysed your data, it’s time to report on your findings. A typical thematic analysis report consists of:

• An introduction
• A methodology section
• Your results and findings
• A conclusion

When writing your report, make sure that you provide enough information for a reader to be able to evaluate the rigour of your analysis. In other words, the reader needs to know the exact process you followed when analysing your data and why. The questions of “what”, “how”, “why”, “who”, and “when” may be useful in this section.

So, what did you investigate? How did you investigate it? Why did you choose this particular method? Who does your research focus on, and who are your participants? When did you conduct your research, when did you collect your data, and when was the data produced? Your reflexivity journal will come in handy here as within it you’ve already labelled, described, and supported your themes.

If you’re undertaking a thematic analysis as part of a dissertation or thesis, this discussion will be split across your methodology, results and discussion chapters . For more information about those chapters, check out our detailed post about dissertation structure .

It’s absolutely vital that, when writing up your results, you back up every single one of your findings with quotations . The reader needs to be able to see that what you’re reporting actually exists within the results. Also make sure that, when reporting your findings, you tie them back to your research questions . You don’t want your reader to be looking through your findings and asking, “So what?”, so make sure that every finding you represent is relevant to your research topic and questions.

Quick Recap: How to “do” thematic analysis

Getting familiar with your data: Here you’ll read through your data and get a general overview of what you’re working with. At this stage, you may identify a few general codes and themes that you’ll make use of in the next step.

Search for patterns or themes in your codes : Here you’ll dive into your data and pick out the themes and codes relevant to your research question(s).

Review themes : In this step, you’ll revisit your codes and themes to make sure that they are all truly representative of the data, and that you can use them in your final report.

Finalise themes : Here’s where you “solidify” your analysis and make it report-ready by describing and defining your themes.

Produce your report : This is the final step of your thematic analysis process, where you put everything you’ve found together and report on your findings.

Tips & Suggestions

In the video below, we share 6 time-saving tips and tricks to help you approach your thematic analysis as effectively and efficiently as possible.

Wrapping Up

In this article, we’ve covered the basics of thematic analysis – what it is, when to use it, the different approaches and types of thematic analysis, and how to perform a thematic analysis.

If you have any questions about thematic analysis, drop a comment below and we’ll do our best to assist. If you’d like 1-on-1 support with your thematic analysis, be sure to check out our research coaching services here .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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21 Comments

I really appreciate the help

Hello Sir, how many levels of coding can be done in thematic analysis? We generate codes from the transcripts, then subthemes from the codes and themes from subthemes, isn’t it? Should these themes be again grouped together? how many themes can be derived?can you please share an example of coding through thematic analysis in a tabular format?

I’ve found the article very educative and useful

Excellent. Very helpful and easy to understand.

This article so far has been most helpful in understanding how to write an analysis chapter. Thank you.

My research topic is the challenges face by the school principal on the process of procurement . Thematic analysis is it sutable fir data analysis ?

It is a great help. Thanks.

Best advice. Worth reading. Thank you.

Where can I find an example of a template analysis table ?

Finally I got the best article . I wish they also have every psychology topics.

Hello, Sir/Maam

I am actually finding difficulty in doing qualitative analysis of my data and how to triangulate this with quantitative data. I encountered your web by accident in the process of searching for a much simplified way of explaining about thematic analysis such as coding, thematic analysis, write up. When your query if I need help popped up, I was hesitant to answer. Because I think this is for fee and I cannot afford. So May I just ask permission to copy for me to read and guide me to study so I can apply it myself for my gathered qualitative data for my graduate study.

Thank you very much! this is very helpful to me in my Graduate research qualitative data analysis.

Thank you very much. I find your guidance here helpful. Kindly let help me understand how to write findings and discussions.

i am having troubles with the concept of framework analysis which i did not find here and i have been an assignment on framework analysis

I was discouraged and felt insecure because after more than a year of writing my thesis, my work seemed lost its direction after being checked. But, I am truly grateful because through the comments, corrections, and guidance of the wisdom of my director, I can already see the bright light because of thematic analysis. I am working with Biblical Texts. And thematic analysis will be my method. Thank you.

lovely and helpful. thanks

very informative information.

thank you very much!, this is very helpful in my report, God bless……..

Thank you for the insight. I am really relieved as you have provided a super guide for my thesis.

Thanks a lot, really enlightening

excellent! very helpful thank a lot for your great efforts

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Essay Papers Writing Online

Tips and guidelines for crafting a strong thematic essay.

Writing a thematic essay can be a challenging task for many students, as it requires a deep understanding of the subject matter and the ability to connect different concepts in a coherent and meaningful way.

Whether you’re a high school student tackling your first thematic essay or a college student working on a more advanced assignment, mastering the art of writing a thematic essay is essential for academic success.

In this article, we will provide you with valuable tips and guidelines to help you navigate the process of writing a thematic essay with confidence and skill.

Mastering the Art of Writing a Thematic Essay

Writing a thematic essay requires a clear understanding of the topic and the ability to explore the central theme in depth. To master the art of writing a thematic essay, there are several key steps to follow:

• Choose a Relevant Theme: Select a theme that is significant and meaningful to the topic at hand. It should be broad enough to allow for in-depth analysis.
• Develop a Strong Thesis Statement: Your thesis statement should clearly state the main theme or argument of your essay. It will guide the direction of your essay and provide a focus for your analysis.
• Organize Your Ideas: Create an outline to organize your thoughts and ideas. This will help you structure your essay and ensure a logical flow of information.
• Provide Evidence and Examples: Support your thesis statement with evidence from the text or other sources. Use specific examples to illustrate your points and provide context for your analysis.
• Analyze the Theme: Analyze the theme in depth, exploring its significance and implications. Consider how the theme is developed throughout the text and its impact on the characters and plot.
• Draw Conclusions: Conclude your essay by summarizing your main points and reiterating the significance of the theme. Reflect on the broader implications of the theme and its relevance to the text as a whole.

By following these steps and practicing your writing skills, you can master the art of writing a thematic essay and provide a compelling analysis of the central theme in any given text.

Tips for Choosing a Strong Theme

1. Consider your interests and passions: Choose a theme that you are passionate about or have a strong interest in. This will make the writing process more enjoyable and engaging.

2. Look for universal themes: Consider themes that are relevant to a wide audience and have the potential to resonate with readers on a deeper level.

3. Explore different perspectives: Don’t be afraid to choose a theme that challenges your beliefs or offers a unique perspective. This can lead to a more thought-provoking essay.

4. Connect the theme to your thesis statement: Ensure that the theme you choose aligns with the main argument or message you want to convey in your essay.

5. Research potential themes: Take the time to explore different themes and gather information to help you make an informed decision. Consider the depth and complexity of each theme before making a final choice.

Researching and Gathering Relevant Information

Before you start writing a thematic essay, it is crucial to conduct thorough research and gather relevant information on the chosen topic. Here are some tips to help you with this process:

• Begin by understanding the theme or topic of the essay. What is the main idea that you want to explore and discuss?
• Utilize a variety of sources such as books, articles, journals, and reputable websites to gather information. Make sure to cross-reference information to ensure accuracy.
• Take detailed notes while researching to keep track of key points, quotes, and references that you may want to include in your essay.
• Consider different perspectives and viewpoints on the topic to provide a well-rounded analysis in your essay.
• Organize your research material in a logical and systematic way to make it easier to refer back to when writing your essay.

By dedicating time to researching and gathering relevant information, you will be better equipped to write a well-informed and insightful thematic essay.

Creating the Outline and Structuring Your Essay

Before diving into the writing process, it is essential to create an outline for your thematic essay. An outline serves as the roadmap for your essay, helping you organize your thoughts and ideas in a logical manner.

Step 1: Identify the Theme

Start by identifying the theme or central idea that you will explore in your essay. This theme will serve as the foundation for your entire piece.

Step 2: Brainstorm Ideas

Once you have identified the theme, brainstorm ideas and examples that relate to the theme. Consider different aspects, perspectives, and elements that you can include in your essay.

Step 3: Create a Thesis Statement

Develop a strong thesis statement that clearly states the main argument or interpretation of the theme. Your thesis should provide a roadmap for the reader and guide the direction of your essay.

Step 4: Outline Your Essay

Organize your ideas and examples into a clear and coherent outline. Begin with an introduction that introduces the theme and your thesis statement. Then, outline the main points and supporting evidence in the body paragraphs. Finally, conclude your essay by summarizing your main points and restating your thesis.

By following these steps and creating a well-structured outline, you will be on your way to mastering the art of writing a thematic essay.

Developing a Compelling Thesis Statement

A strong thesis statement is the backbone of a thematic essay, as it serves as the foundation upon which the rest of the essay is built. To develop a compelling thesis statement, you need to clearly identify the main theme or idea that you will be exploring in your essay. Your thesis statement should be concise and specific, providing a clear indication of the argument or perspective you will be presenting.

When crafting your thesis statement, it is essential to consider the key points that you plan to discuss in your essay and ensure that they align with your main argument. Additionally, your thesis statement should be engaging and thought-provoking, drawing your reader in and setting the tone for the rest of your essay.

Remember to revise and refine your thesis statement as you work on your essay, ensuring that it accurately reflects the content of your paper and guides your reader through your analysis. A well-developed thesis statement will help you stay focused and on track as you write your thematic essay, leading to a more coherent and compelling piece of writing.

Writing Clear and Coherent Body Paragraphs

When writing a thematic essay, your body paragraphs should be clear and coherent, providing a strong argument to support your thesis statement. Here are some tips to help you achieve this:

1. Topic Sentence: Start each body paragraph with a clear topic sentence that introduces the main idea of the paragraph. This sentence should relate directly to your thesis statement and guide the reader on what to expect.

2. Evidence and Examples: Support your topic sentence with relevant evidence and examples from the text or other sources. Make sure to provide specific details that help to strengthen your argument and make your point clear.

3. Analysis: After presenting your evidence, analyze and explain how it supports your thesis. Discuss the significance of the evidence in relation to your main argument and show how it helps to prove your point.

4. Transition: Use transitions to smoothly connect your ideas and move from one paragraph to the next. Transitions help to guide the reader through your essay and maintain the flow of your arguments.

5. Clarity and Conciseness: Be clear and concise in your writing. Avoid unnecessary words or information that does not directly contribute to your argument. Keep your paragraphs focused and to the point.

By following these guidelines, you can write clear and coherent body paragraphs that effectively support your thesis and engage your reader. Remember to stay focused on your main argument and provide strong evidence to back up your claims.

Concluding with a Strong Summary and Reflection

As you wrap up your thematic essay, it is important to provide a strong summary that ties together all the key points you have discussed in the body paragraphs. Your conclusion should reiterate your thesis statement, summarise your main arguments, and leave the reader with a clear understanding of your interpretation of the theme.

Additionally, you can include a reflection on the significance of the theme you have explored and its relevance to the broader context. Consider how the theme relates to society, history, literature, or any other relevant fields. This reflection can add depth to your essay and show your critical thinking skills.

Remember, your conclusion is your final opportunity to leave a lasting impression on the reader, so make sure it is strong and impactful. End with a thought-provoking statement or question that encourages further contemplation of the theme you have explored.

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Thematic Analysis: A Step by Step Guide

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

Learn about our Editorial Process

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

On This Page:

What is Thematic Analysis?

Thematic analysis is a qualitative research method used to identify, analyze, and interpret patterns of shared meaning (themes) within a given data set, which can be in the form of interviews , focus group discussions , surveys, or other textual data.

Thematic analysis is a useful method for research seeking to understand people’s views, opinions, knowledge, experiences, or values from qualitative data.

This method is widely used in various fields, including psychology, sociology, and health sciences.

Thematic analysis minimally organizes and describes a data set in rich detail. Often, though, it goes further than this and interprets aspects of the research topic.

Key aspects of Thematic Analysis include:

• Flexibility : It can be adapted to suit the needs of various studies, providing a rich and detailed account of the data.
• Coding : The process involves assigning labels or codes to specific segments of the data that capture a single idea or concept relevant to the research question.
• Themes : Representing a broader level of analysis, encompassing multiple codes that share a common underlying meaning or pattern. They provide a more abstract and interpretive understanding of the data.
• Iterative process : Thematic analysis is a recursive process that involves constantly moving back and forth between the coded extracts, the entire data set, and the thematic analysis being produced.
• Interpretation : The researcher interprets the identified themes to make sense of the data and draw meaningful conclusions.

It’s important to note that the types of thematic analysis are not mutually exclusive, and researchers may adopt elements from different approaches depending on their research questions, goals, and epistemological stance.

The choice of approach should be guided by the research aims, the nature of the data, and the philosophical assumptions underpinning the study.

1. Coding Reliability Thematic Analysis

Coding reliability TA emphasizes using coding techniques to achieve reliable and accurate data coding, which reflects (post)positivist research values.

This approach emphasizes the reliability and replicability of the coding process. It involves multiple coders independently coding the data using a predetermined codebook.

The goal is to achieve a high level of agreement among the coders, which is often measured using inter-rater reliability metrics.

This approach often involves a coding frame or codebook determined in advance or generated after familiarization with the data.

In this type of TA, two or more researchers apply a fixed coding frame to the data, ideally working separately.

Some researchers even suggest that at least some coders should be unaware of the research question or area of study to prevent bias in the coding process.

Statistical tests are used to assess the level of agreement between coders, or the reliability of coding. Any differences in coding between researchers are resolved through consensus.

This approach is more suitable for research questions that require a more structured and reliable coding process, such as in content analysis or when comparing themes across different data sets.

2. Codebook Thematic Analysis

Codebook TA, such as template, framework, and matrix analysis, combines elements of coding reliability and reflexive.

Codebook TA, while employing structured coding methods like those used in coding reliability TA, generally prioritizes qualitative research values, such as reflexivity.

In this approach, the researcher develops a codebook based on their initial engagement with the data. The codebook contains a list of codes, their definitions, and examples from the data.

The codebook is then used to systematically code the entire data set. This approach allows for a more detailed and nuanced analysis of the data, as the codebook can be refined and expanded throughout the coding process.

It is particularly useful when the research aims to provide a comprehensive description of the data set.

Codebook TA is often chosen for pragmatic reasons in applied research, particularly when there are predetermined information needs, strict deadlines, and large teams with varying levels of qualitative research experience

The use of a codebook in this context helps to map the developing analysis, which is thought to improve teamwork, efficiency, and the speed of output delivery.

3. Reflexive Thematic Analysis

This approach emphasizes the role of the researcher in the analysis process. It acknowledges that the researcher’s subjectivity, theoretical assumptions, and interpretative framework shape the identification and interpretation of themes.

In reflexive TA, analysis starts with coding after data familiarization. Unlike other TA approaches, there is no codebook or coding frame. Instead, researchers develop codes as they work through the data.

As their understanding grows, codes can change to reflect new insights—for example, they might be renamed, combined with other codes, split into multiple codes, or have their boundaries redrawn.

If multiple researchers are involved, differences in coding are explored to enhance understanding, not to reach a consensus. The finalized coding is always open to new insights and coding.

Reflexive thematic analysis involves a more organic and iterative process of coding and theme development. The researcher continuously reflects on their role in the research process and how their own experiences and perspectives might influence the analysis.

This approach is particularly useful for exploratory research questions and when the researcher aims to provide a rich and nuanced interpretation of the data.

Six Steps Of Thematic Analysis

The process is characterized by a recursive movement between the different phases, rather than a strict linear progression.

This means that researchers might revisit earlier phases as their understanding of the data evolves, constantly refining their analysis.

For instance, during the reviewing and developing themes phase, researchers may realize that their initial codes don’t effectively capture the nuances of the data and might need to return to the coding phase. 

This back-and-forth movement continues throughout the analysis, ensuring a thorough and evolving understanding of the data

Step 1: Familiarization With the Data

Familialization is crucial, as it helps researchers figure out the type (and number) of themes that might emerge from the data.

Familiarization involves immersing yourself in the data by reading and rereading textual data items, such as interview transcripts or survey responses.

You should read through the entire data set at least once, and possibly multiple times, until you feel intimately familiar with its content.

• Read and re-read the data (e.g., interview transcripts, survey responses, or other textual data) : The researcher reads through the entire data set (e.g., interview transcripts, survey responses, or field notes) multiple times to gain a comprehensive understanding of the data’s breadth and depth. This helps the researcher develop a holistic sense of the participants’ experiences, perspectives, and the overall narrative of the data.
• Listen to the audio recordings of the interviews : This helps to pick up on tone, emphasis, and emotional responses that may not be evident in the written transcripts. For instance, they might note a participant’s hesitation or excitement when discussing a particular topic. This is an important step if you didn’t collect the data or transcribe it yourself.
• Take notes on initial ideas and observations : Note-making at this stage should be observational and casual, not systematic and inclusive, as you aren’t coding yet. Think of the notes as memory aids and triggers for later coding and analysis. They are primarily for you, although they might be shared with research team members.
• Immerse yourself in the data to gain a deep understanding of its content : It’s not about just absorbing surface meaning like you would with a novel, but about thinking about what the data  mean .

By the end of the familiarization step, the researcher should have a good grasp of the overall content of the data, the key issues and experiences discussed by the participants, and any initial patterns or themes that emerge.

This deep engagement with the data sets the stage for the subsequent steps of thematic analysis, where the researcher will systematically code and analyze the data to identify and interpret the central themes.

Step 2: Generating Initial Codes

Codes are concise labels or descriptions assigned to segments of the data that capture a specific feature or meaning relevant to the research question.

The process of qualitative coding helps the researcher organize and reduce the data into manageable chunks, making it easier to identify patterns and themes relevant to the research question.

Think of it this way:  If your analysis is a house, themes are the walls and roof, while codes are the individual bricks and tiles.

Coding is an iterative process, with researchers refining and revising their codes as their understanding of the data evolves.

The ultimate goal is to develop a coherent and meaningful coding scheme that captures the richness and complexity of the participants’ experiences and helps answer the research questions.

Coding can be done manually (paper transcription and pen or highlighter) or by means of software (e.g. by using NVivo, MAXQDA or ATLAS.ti).

Decide On Your Coding Approach

• Will you use predefined deductive codes (based on theory or prior research), or let codes emerge from the data (inductive coding)?
• Will a piece of data have one code or multiple?
• Will you code everything or selectively? Broader research questions may warrant coding more comprehensively.

If you decide not to code everything, it’s crucial to:

• Have clear criteria for what you will and won’t code
• Be transparent about your selection process in research reports
• Remain open to revisiting uncoded data later in analysis

Do A First Round Of Coding

• Go through the data and assign initial codes to chunks that stand out
• Create a code name (a word or short phrase) that captures the essence of each chunk
• Keep a codebook – a list of your codes with descriptions or definitions
• Be open to adding, revising or combining codes as you go

After generating your first code, compare each new data extract to see if an existing code applies or a new one is needed.

Coding can be done at two levels of meaning:

• Semantic:  Provides a concise summary of a portion of data, staying close to the content and the participant’s meaning. For example, “Fear/anxiety about people’s reactions to his sexuality.”
• Latent:  Goes beyond the participant’s meaning to provide a conceptual interpretation of the data. For example, “Coming out imperative” interprets the meaning behind a participant’s statement.

Most codes will be a mix of descriptive and conceptual. Novice coders tend to generate more descriptive codes initially, developing more conceptual approaches with experience.

This step ends when:

• All data is fully coded.
• Data relevant to each code has been collated.

You have enough codes to capture the data’s diversity and patterns of meaning, with most codes appearing across multiple data items.

The number of codes you generate will depend on your topic, data set, and coding precision.

Step 3: Searching for Themes

Searching for themes begins after all data has been initially coded and collated, resulting in a comprehensive list of codes identified across the data set.

This step involves shifting from the specific, granular codes to a broader, more conceptual level of analysis.

Thematic analysis is not about “discovering” themes that already exist in the data, but rather actively constructing or generating themes through a careful and iterative process of examination and interpretation.

1 . Collating codes into potential themes :

The process of collating codes into potential themes involves grouping codes that share a unifying feature or represent a coherent and meaningful pattern in the data.

The researcher looks for patterns, similarities, and connections among the codes to develop overarching themes that capture the essence of the data.

By the end of this step, the researcher will have a collection of candidate themes and sub-themes, along with their associated data extracts.

However, these themes are still provisional and will be refined in the next step of reviewing the themes.

The searching for themes step helps the researcher move from a granular, code-level analysis to a more conceptual, theme-level understanding of the data.

This process is similar to sculpting, where the researcher shapes the “raw” data into a meaningful analysis.

This involves grouping codes that share a unifying feature or represent a coherent pattern in the data:

• Review the list of initial codes and their associated data extracts
• Look for codes that seem to share a common idea or concept
• Group related codes together to form potential themes
• Some codes may form main themes, while others may be sub-themes or may not fit into any theme

Thematic maps can help visualize the relationship between codes and themes. These visual aids provide a structured representation of the emerging patterns and connections within the data, aiding in understanding the significance of each theme and its contribution to the overall research question.

Example : Studying first-generation college students, the researcher might notice that the codes “financial challenges,” “working part-time,” and “scholarships” all relate to the broader theme of “Financial Obstacles and Support.”

Shared Meaning vs. Shared Topic in Thematic Analysis

Braun and Clarke distinguish between two different conceptualizations of  themes : topic summaries and shared meaning

• Topic summary themes , which they consider to be underdeveloped, are organized around a shared topic but not a shared meaning, and often resemble “buckets” into which data is sorted.
• Shared meaning themes  are patterns of shared meaning underpinned by a central organizing concept.

When grouping codes into themes, it’s crucial to ensure they share a central organizing concept or idea, reflecting a shared meaning rather than just belonging to the same topic.

Thematic analysis aims to uncover patterns of shared meaning within the data that offer insights into the research question

For example, codes centered around the concept of “Negotiating Sexual Identity” might not form one comprehensive theme, but rather two distinct themes: one related to “coming out and being out” and another exploring “different versions of being a gay man.”

Avoid : Themes as Topic Summaries (Shared Topic)

In this approach, themes simply summarize what participants mentioned about a particular topic, without necessarily revealing a unified meaning.

These themes are often underdeveloped and lack a central organizing concept.

It’s crucial to avoid creating themes that are merely summaries of data domains or directly reflect the interview questions. 

Example : A theme titled “Incidents of homophobia” that merely describes various participant responses about homophobia without delving into deeper interpretations would be a topic summary theme.

Tip : Using interview questions as theme titles without further interpretation or relying on generic social functions (“social conflict”) or structural elements (“economics”) as themes often indicates a lack of shared meaning and thorough theme development. Such themes might lack a clear connection to the specific dataset

Ensure : Themes as Shared Meaning

Instead, themes should represent a deeper level of interpretation, capturing the essence of the data and providing meaningful insights into the research question.

These themes go beyond summarizing a topic by identifying a central concept or idea that connects the codes.

They reflect a pattern of shared meaning across different data points, even if those points come from different topics.

Example : The theme “‘There’s always that level of uncertainty’: Compulsory heterosexuality at university” effectively captures the shared experience of fear and uncertainty among LGBT students, connecting various codes related to homophobia and its impact on their lives.

2. Gathering data relevant to each potential theme

Once a potential theme is identified, all coded data extracts associated with the codes grouped under that theme are collated. This ensures a comprehensive view of the data pertaining to each theme.

This involves reviewing the collated data extracts for each code and organizing them under the relevant themes.

For example, if you have a potential theme called “Student Strategies for Test Preparation,” you would gather all data extracts that have been coded with related codes, such as “Time Management for Test Preparation” or “Study Groups for Test Preparation”.

You can then begin reviewing the data extracts for each theme to see if they form a coherent pattern. 

This step helps to ensure that your themes accurately reflect the data and are not based on your own preconceptions.

It’s important to remember that coding is an organic and ongoing process.

You may need to re-read your entire data set to see if you have missed any data that is relevant to your themes, or if you need to create any new codes or themes.

The researcher should ensure that the data extracts within each theme are coherent and meaningful.

Example : The researcher would gather all the data extracts related to “Financial Obstacles and Support,” such as quotes about struggling to pay for tuition, working long hours, or receiving scholarships.

Here’s a more detailed explanation of how to gather data relevant to each potential theme:

• Start by creating a visual representation of your potential themes, such as a thematic map or table
• List each potential theme and its associated sub-themes (if any)
• This will help you organize your data and see the relationships between themes
• Go through your coded data extracts (e.g., highlighted quotes or segments from interview transcripts)
• For each coded extract, consider which theme or sub-theme it best fits under
• If a coded extract seems to fit under multiple themes, choose the theme that it most closely aligns with in terms of shared meaning
• As you identify which theme each coded extract belongs to, copy and paste the extract under the relevant theme in your thematic map or table
• Include enough context around each extract to ensure its meaning is clear
• If using qualitative data analysis software, you can assign the coded extracts to the relevant themes within the software
• As you gather data extracts under each theme, continuously review the extracts to ensure they form a coherent pattern
• If some extracts do not fit well with the rest of the data in a theme, consider whether they might better fit under a different theme or if the theme needs to be refined

3. Considering relationships between codes, themes, and different levels of themes

Once you have gathered all the relevant data extracts under each theme, review the themes to ensure they are meaningful and distinct.

This step involves analyzing how different codes combine to form overarching themes and exploring the hierarchical relationship between themes and sub-themes.

Within a theme, there can be different levels of themes, often organized hierarchically as main themes and sub-themes.

• Main themes  represent the most overarching or significant patterns found in the data. They provide a high-level understanding of the key issues or concepts present in the data. 
• Sub-themes , as the name suggests, fall under main themes, offering a more nuanced and detailed understanding of a particular aspect of the main theme.

The process of developing these relationships is iterative and involves:

• Creating a Thematic Map : The relationship between codes, sub-themes and main themes can be visualized using a thematic map, diagram, or table. Refine the thematic map as you continue to review and analyze the data.
• Examine how the codes and themes relate to each other : Some themes may be more prominent or overarching (main themes), while others may be secondary or subsidiary (sub-themes).
• Refining Themes : This map helps researchers review and refine themes, ensuring they are internally consistent (homogeneous) and distinct from other themes (heterogeneous).
• Defining and Naming Themes : Finally, themes are given clear and concise names and definitions that accurately reflect the meaning they represent in the data.

Consider how the themes tell a coherent story about the data and address the research question.

If some themes seem to overlap or are not well-supported by the data, consider combining or refining them.

If a theme is too broad or diverse, consider splitting it into separate themes or sub-theme.

Example : The researcher might identify “Academic Challenges” and “Social Adjustment” as other main themes, with sub-themes like “Imposter Syndrome” and “Balancing Work and School” under “Academic Challenges.” They would then consider how these themes relate to each other and contribute to the overall understanding of first-generation college students’ experiences.

Step 4: Reviewing Themes

The researcher reviews, modifies, and develops the preliminary themes identified in the previous step.

This phase involves a recursive process of checking the themes against the coded data extracts and the entire data set to ensure they accurately reflect the meanings evident in the data.

The purpose is to refine the themes, ensuring they are coherent, consistent, and distinctive.

According to Braun and Clarke, a well-developed theme “captures something important about the data in relation to the research question and represents some level of patterned response or meaning within the data set”.

A well-developed theme will:

• Go beyond paraphrasing the data to analyze the meaning and significance of the patterns identified.
• Provide a detailed analysis of what the theme is about.
• Be supported with a good amount of relevant data extracts.
• Be related to the research question.

Revisions at this stage might involve creating new themes, refining existing themes, or discarding themes that do not fit the data

Level One : Reviewing Themes Against Coded Data Extracts

• Researchers begin by comparing their candidate themes against the coded data extracts associated with each theme.
• This step helps to determine whether each theme is supported by the data and whether it accurately reflects the meaning found in the extracts. Determine if there is enough data to support each theme.
• Look at the relationships between themes and sub-themes in the thematic map. Consider whether the themes work together to tell a coherent story about the data. If the thematic map does not effectively represent the data, consider making adjustments to the themes or their organization.
• It’s important to ensure that each theme has a singular focus and is not trying to encompass too much. Themes should be distinct from one another, although they may build on or relate to each other.
• Discarding codes : If certain codes within a theme are not well-supported or do not fit, they can be removed.
• Relocating codes : Codes that fit better under a different theme can be moved.
• Redrawing theme boundaries : The scope of a theme can be adjusted to better capture the relevant data.
• Discarding themes : Entire themes can be abandoned if they do not work.

Level Two : Evaluating Themes Against the Entire Data Set

• Once the themes appear coherent and well-supported by the coded extracts, researchers move on to evaluate them against the entire data set.
• This involves a final review of all the data to ensure that the themes accurately capture the most important and relevant patterns across the entire dataset in relation to the research question.
• During this level, researchers may need to recode some extracts for consistency, especially if the coding process evolved significantly, and earlier data items were not recoded according to these changes.

Step 5: Defining and Naming Themes

The themes are finalized when the researcher is satisfied with the theme names and definitions.

If the analysis is carried out by a single researcher, it is recommended to seek feedback from an external expert to confirm that the themes are well-developed, clear, distinct, and capture all the relevant data.

Defining themes  means determining the exact meaning of each theme and understanding how it contributes to understanding the data.

This process involves formulating exactly what we mean by each theme. The researcher should consider what a theme says, if there are subthemes, how they interact and relate to the main theme, and how the themes relate to each other.

Themes should not be overly broad or try to encompass too much, and should have a singular focus. They should be distinct from one another and not repetitive, although they may build on one another.

In this phase the researcher specifies the essence of each theme.

• What does the theme tell us that is relevant for the research question?
• How does it fit into the ‘overall story’ the researcher wants to tell about the data?

Naming themes  involves developing a clear and concise name that effectively conveys the essence of each theme to the reader. A good name for a theme is informative, concise, and catchy.

• The researcher develops concise, punchy, and informative names for each theme that effectively communicate its essence to the reader.
• Theme names should be catchy and evocative, giving the reader an immediate sense of what the theme is about.
• Avoid using jargon or overly complex language in theme names.
• The name should go beyond simply paraphrasing the content of the data extracts and instead interpret the meaning and significance of the patterns within the theme.
• The goal is to make the themes accessible and easily understandable to the intended audience. If a theme contains sub-themes, the researcher should also develop clear and informative names for each sub-theme.
• Theme names can include direct quotations from the data, which helps convey the theme’s meaning. However, researchers should avoid using data collection questions as theme names. Using data collection questions as themes often leads to analyses that present summaries of topics rather than fully realized themes.

For example, “‘There’s always that level of uncertainty’: Compulsory heterosexuality at university” is a strong theme name because it captures the theme’s meaning. In contrast, “incidents of homophobia” is a weak theme name because it only states the topic.

For instance, a theme labeled “distrust of experts” might be renamed “distrust of authority” or “conspiracy thinking” after careful consideration of the theme’s meaning and scope.

Step 6: Producing the Report

A thematic analysis report should provide a convincing and clear, yet complex story about the data that is situated within a scholarly field.

A balance should be struck between the narrative and the data presented, ensuring that the report convincingly explains the meaning of the data, not just summarizes it.

To achieve this, the report should include vivid, compelling data extracts illustrating the themes and incorporate extracts from different data sources to demonstrate the themes’ prevalence and strengthen the analysis by representing various perspectives within the data.

The report should be written in first-person active tense, unless otherwise stated in the reporting requirements.

The analysis can be presented in two ways :

• Integrated Results and Discussion section:  This approach is suitable when the analysis has strong connections to existing research and when the analysis is more theoretical or interpretive.
• Separate Discussion section:  This approach presents the data interpretation separately from the results.

Regardless of the presentation style, researchers should aim to “show” what the data reveals and “tell” the reader what it means in order to create a convincing analysis.

• Presentation order of themes: Consider how to best structure the presentation of the themes in the report. This may involve presenting the themes in order of importance, chronologically, or in a way that tells a coherent story.
• Subheadings: Use subheadings to clearly delineate each theme and its sub-themes, making the report easy to navigate and understand.

The analysis should go beyond a simple summary of participant’s words and instead interpret the meaning of the data.

Themes should connect logically and meaningfully and, if relevant, should build on previous themes to tell a coherent story about the data.

The report should include vivid, compelling data extracts that clearly illustrate the theme being discussed and should incorporate extracts from different data sources, rather than relying on a single source.

Although it is tempting to rely on one source when it eloquently expresses a particular aspect of the theme, using multiple sources strengthens the analysis by representing a wider range of perspectives within the data.

Researchers should strive to maintain a balance between the amount of narrative and the amount of data presented.

Potential Pitfalls to Avoid

• Failing to analyze the data : Thematic analysis should involve more than simply presenting data extracts without an analytic narrative. The researcher must provide an interpretation and make sense of the data, telling the reader what it means and how it relates to the research questions.
• Using data collection questions as themes : Themes should be identified across the entire dataset, not just based on the questions asked during data collection. Reporting data collection questions as themes indicates a lack of thorough analytic work to identify patterns and meanings in the data.
• Conducting a weak or unconvincing analysis : Themes should be distinct, internally coherent, and consistent, capturing the majority of the data or providing a rich description of specific aspects. A weak analysis may have overlapping themes, fail to capture the data adequately, or lack sufficient examples to support the claims made.
• Mismatch between data and analytic claims : The researcher’s interpretations and analytic points must be consistent with the data extracts presented. Claims that are not supported by the data, contradict the data, or fail to consider alternative readings or variations in the account are problematic.
• Misalignment between theory, research questions, and analysis : The interpretations of the data should be consistent with the theoretical framework used. For example, an experiential framework would not typically make claims about the social construction of the topic. The form of thematic analysis used should also align with the research questions.
• Neglecting to clarify assumptions, purpose, and process : A good thematic analysis should spell out its theoretical assumptions, clarify how it was undertaken, and for what purpose. Without this crucial information, the analysis is lacking context and transparency, making it difficult for readers to evaluate the research.

Reducing Bias

When researchers are both reflexive and transparent in their thematic analysis, it strengthens the trustworthiness and rigor of their findings.

The explicit acknowledgement of potential biases and the detailed documentation of the analytical process provide a stronger foundation for the interpretation of the data, making it more likely that the findings reflect the perspectives of the participants rather than the biases of the researcher.

Reflexivity

Reflexivity involves critically examining one’s own assumptions and biases, is crucial in qualitative research to ensure the trustworthiness of findings.

It requires acknowledging that researcher subjectivity is inherent in the research process and can influence how data is collected, analyzed, and interpreted.

Identifying and Challenging Assumptions:

Reflexivity encourages researchers to explicitly acknowledge their preconceived notions, theoretical leanings, and potential biases.

By actively reflecting on how these factors might influence their interpretation of the data, researchers can take steps to mitigate their impact.

This might involve seeking alternative explanations, considering contradictory evidence, or discussing their interpretations with others to gain different perspectives.

Transparency

Transparency refers to clearly documenting the research process, including coding decisions, theme development, and the rationale behind behind theme development.

This openness allows others to understand how the analysis was conducted and to assess the credibility of the findings

This transparency helps ensure the trustworthiness and rigor of the findings, allowing others to understand and potentially replicate the analysis.

Documenting Decision-Making:

Transparency requires researchers to provide a clear and detailed account of their analytical choices throughout the research process.

This includes documenting the rationale behind coding decisions, the process of theme development, and any changes made to the analytical approach during the study.

By making these decisions transparent, researchers allow others to scrutinize their work and assess the potential for bias.

Practical Strategies for Reflexivity and Transparency in Thematic Analysis:

• Maintaining a reflexive journal:  Researchers can keep a journal throughout the research process to document their thoughts, assumptions, and potential biases. This journal serves as a record of the researcher’s evolving understanding of the data and can help identify potential blind spots in their analysis.
• Engaging in team-based analysis:  Collaborative analysis, involving multiple researchers, can enhance reflexivity by providing different perspectives and interpretations of the data. Discussing coding decisions and theme development as a team allows researchers to challenge each other’s assumptions and ensure a more comprehensive analysis.
• Clearly articulating the analytical process:  In reporting the findings of thematic analysis, researchers should provide a detailed account of their methods, including the rationale behind coding decisions, the process of theme development, and any challenges encountered during analysis. This transparency allows readers to understand the steps taken to ensure the rigor and trustworthiness of the analysis.
• Flexibility:  Thematic analysis is a flexible method, making it adaptable to different research questions and theoretical frameworks. It can be employed with various epistemological approaches, including realist, constructionist, and contextualist perspectives. For example, researchers can focus on analyzing meaning across the entire data set or examine a particular aspect in depth.
• Accessibility:  Thematic analysis is an accessible method, especially for novice qualitative researchers, as it doesn’t demand extensive theoretical or technical knowledge compared to methods like Discourse Analysis (DA) or Conversation Analysis (CA). It is considered a foundational qualitative analysis method.
• Rich Description:  Thematic analysis facilitates a rich and detailed description of data9. It can provide a thorough understanding of the predominant themes in a data set, offering valuable insights, particularly in under-researched areas.
• Theoretical Freedom:  Thematic analysis is not restricted to any pre-existing theoretical framework, allowing for diverse applications. This distinguishes it from methods like Grounded Theory or Interpretative Phenomenological Analysis (IPA), which are more closely tied to specific theoretical approaches

Disadvantages

• Subjectivity and Interpretation:  The flexibility of thematic analysis, while an advantage, can also be a disadvantage. The method’s openness can lead to a wide range of interpretations of the same data set, making it difficult to determine which aspects to emphasize. This potential subjectivity might raise concerns about the analysis’s reliability and consistency.
• Limited Interpretive Power:  Unlike methods like narrative analysis or biographical approaches, thematic analysis may not capture the nuances of individual experiences or contradictions within a single account. The focus on patterns across interviews could result in overlooking unique individual perspectives.
• Oversimplification:  Thematic analysis might oversimplify complex phenomena by focusing on common themes, potentially missing subtle but important variations within the data. If not carefully executed, the analysis may present a homogenous view of the data that doesn’t reflect the full range of perspectives.
• Lack of Established Theoretical Frameworks:  Thematic analysis does not inherently rely on pre-existing theoretical frameworks. While this allows for inductive exploration, it can also limit the interpretive power of the analysis if not anchored within a relevant theoretical context. The absence of a theoretical foundation might make it challenging to draw meaningful and generalizable conclusions.
• Difficulty in Higher-Phase Analysis:  While thematic analysis is relatively easy to initiate, the flexibility in its application can make it difficult to establish specific guidelines for higher-phase analysis1. Researchers may find it challenging to navigate the later stages of analysis and develop a coherent and insightful interpretation of the identified themes.
• Potential for Researcher Bias:  As with any qualitative research method, thematic analysis is susceptible to researcher bias. Researchers’ preconceived notions and assumptions can influence how they code and interpret data, potentially leading to skewed results.

Further Information

• Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology . Qualitative Research in Psychology, 3 (2), 77–101.
• Braun, V., & Clarke, V. (2013). Successful qualitative research: A practical guide for beginners. Sage.
• Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysi s. Qualitative Research in Sport, Exercise and Health, 11 (4), 589–597.
• Braun, V., & Clarke, V. (2021). One size fits all? What counts as quality practice in (reflexive) thematic analysis? Qualitative Research in Psychology, 18 (3), 328–352.
• Braun, V., & Clarke, V. (2021). To saturate or not to saturate? Questioning data saturation as a useful concept for thematic analysis and sample-size rationales . Qualitative Research in Sport, Exercise and Health, 13 (2), 201–216.
• Braun, V., & Clarke, V. (2022). Conceptual and design thinking for thematic analysis .  Qualitative psychology ,  9 (1), 3.
• Braun, V., & Clarke, V. (2022b). Thematic analysis: A practical guide . Sage.
• Braun, V., Clarke, V., & Hayfield, N. (2022). ‘A starting point for your journey, not a map’: Nikki Hayfield in conversation with Virginia Braun and Victoria Clarke about thematic analysis.  Qualitative research in psychology ,  19 (2), 424-445.
• Finlay, L., & Gough, B. (Eds.). (2003). Reflexivity: A practical guide for researchers in health and social sciences. Blackwell Science.
• Gibbs, G. R. (2013). Using software in qualitative analysis. In U. Flick (ed.) The Sage handbook of qualitative data analysis (pp. 277–294). London: Sage.
• Terry, G., & Hayfield, N. (2021). Essentials of thematic analysis . American Psychological Association.

Example TA Studies

• Braun, V., Terry, G., Gavey, N., & Fenaughty, J. (2009). ‘ Risk’and sexual coercion among gay and bisexual men in Aotearoa/New Zealand–key informant accounts .  Culture, Health & Sexuality ,  11 (2), 111-124.
• Clarke, V., & Kitzinger, C. (2004). Lesbian and gay parents on talk shows: resistance or collusion in heterosexism? .  Qualitative Research in Psychology ,  1 (3), 195-217.

Related Articles

Research Methodology

Mixed Methods Research

Conversation Analysis

Discourse Analysis

Phenomenology In Qualitative Research

Ethnography In Qualitative Research

Narrative Analysis In Qualitative Research

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• How to Do Thematic Analysis | Guide & Examples

How to Do Thematic Analysis | Guide & Examples

Published on 5 May 2022 by Jack Caulfield . Revised on 7 June 2024.

Thematic analysis is a method of analysing qualitative data . It is usually applied to a set of texts, such as an interview or transcripts . The researcher closely examines the data to identify common themes, topics, ideas and patterns of meaning that come up repeatedly.

There are various approaches to conducting thematic analysis, but the most common form follows a six-step process:

• Familiarisation
• Generating themes
• Reviewing themes
• Defining and naming themes

This process was originally developed for psychology research by Virginia Braun and Victoria Clarke . However, thematic analysis is a flexible method that can be adapted to many different kinds of research.

Table of contents

When to use thematic analysis, different approaches to thematic analysis, step 1: familiarisation, step 2: coding, step 3: generating themes, step 4: reviewing themes, step 5: defining and naming themes, step 6: writing up.

Thematic analysis is a good approach to research where you’re trying to find out something about people’s views, opinions, knowledge, experiences, or values from a set of qualitative data – for example, interview transcripts , social media profiles, or survey responses .

Some types of research questions you might use thematic analysis to answer:

• How do patients perceive doctors in a hospital setting?
• What are young women’s experiences on dating sites?
• What are non-experts’ ideas and opinions about climate change?
• How is gender constructed in secondary school history teaching?

To answer any of these questions, you would collect data from a group of relevant participants and then analyse it. Thematic analysis allows you a lot of flexibility in interpreting the data, and allows you to approach large datasets more easily by sorting them into broad themes.

However, it also involves the risk of missing nuances in the data. Thematic analysis is often quite subjective and relies on the researcher’s judgement, so you have to reflect carefully on your own choices and interpretations.

Pay close attention to the data to ensure that you’re not picking up on things that are not there – or obscuring things that are.

Prevent plagiarism, run a free check.

Once you’ve decided to use thematic analysis, there are different approaches to consider.

There’s the distinction between inductive and deductive approaches:

• An inductive approach involves allowing the data to determine your themes.
• A deductive approach involves coming to the data with some preconceived themes you expect to find reflected there, based on theory or existing knowledge.

There’s also the distinction between a semantic and a latent approach:

• A semantic approach involves analysing the explicit content of the data.
• A latent approach involves reading into the subtext and assumptions underlying the data.

After you’ve decided thematic analysis is the right method for analysing your data, and you’ve thought about the approach you’re going to take, you can follow the six steps developed by Braun and Clarke .

The first step is to get to know our data. It’s important to get a thorough overview of all the data we collected before we start analysing individual items.

This might involve transcribing audio , reading through the text and taking initial notes, and generally looking through the data to get familiar with it.

Next up, we need to code the data. Coding means highlighting sections of our text – usually phrases or sentences – and coming up with shorthand labels or ‘codes’ to describe their content.

Let’s take a short example text. Say we’re researching perceptions of climate change among conservative voters aged 50 and up, and we have collected data through a series of interviews. An extract from one interview looks like this:

In this extract, we’ve highlighted various phrases in different colours corresponding to different codes. Each code describes the idea or feeling expressed in that part of the text.

At this stage, we want to be thorough: we go through the transcript of every interview and highlight everything that jumps out as relevant or potentially interesting. As well as highlighting all the phrases and sentences that match these codes, we can keep adding new codes as we go through the text.

After we’ve been through the text, we collate together all the data into groups identified by code. These codes allow us to gain a condensed overview of the main points and common meanings that recur throughout the data.

Next, we look over the codes we’ve created, identify patterns among them, and start coming up with themes.

Themes are generally broader than codes. Most of the time, you’ll combine several codes into a single theme. In our example, we might start combining codes into themes like this:

At this stage, we might decide that some of our codes are too vague or not relevant enough (for example, because they don’t appear very often in the data), so they can be discarded.

Other codes might become themes in their own right. In our example, we decided that the code ‘uncertainty’ made sense as a theme, with some other codes incorporated into it.

Again, what we decide will vary according to what we’re trying to find out. We want to create potential themes that tell us something helpful about the data for our purposes.

Now we have to make sure that our themes are useful and accurate representations of the data. Here, we return to the dataset and compare our themes against it. Are we missing anything? Are these themes really present in the data? What can we change to make our themes work better?

If we encounter problems with our themes, we might split them up, combine them, discard them, or create new ones: whatever makes them more useful and accurate.

For example, we might decide upon looking through the data that ‘changing terminology’ fits better under the ‘uncertainty’ theme than under ‘distrust of experts’, since the data labelled with this code involves confusion, not necessarily distrust.

Now that you have a final list of themes, it’s time to name and define each of them.

Defining themes involves formulating exactly what we mean by each theme and figuring out how it helps us understand the data.

Naming themes involves coming up with a succinct and easily understandable name for each theme.

For example, we might look at ‘distrust of experts’ and determine exactly who we mean by ‘experts’ in this theme. We might decide that a better name for the theme is ‘distrust of authority’ or ‘conspiracy thinking’.

Finally, we’ll write up our analysis of the data. Like all academic texts, writing up a thematic analysis requires an introduction to establish our research question, aims, and approach.

We should also include a methodology section, describing how we collected the data (e.g., through semi-structured interviews or open-ended survey questions ) and explaining how we conducted the thematic analysis itself.

The results or findings section usually addresses each theme in turn. We describe how often the themes come up and what they mean, including examples from the data as evidence. Finally, our conclusion explains the main takeaways and shows how the analysis has answered our research question.

In our example, we might argue that conspiracy thinking about climate change is widespread among older conservative voters, point out the uncertainty with which many voters view the issue, and discuss the role of misinformation in respondents’ perceptions.

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Home ➔ How to Write an Essay ➔ Thematic Essay

Thematic Essay Guide

Thematic writing is a staple of high school English and college writing courses. The idea behind thematic writing is to create a piece that uses a theme to tie together different ideas or topics. Thematic writing can be used for essays, short stories, novels, and even non-fiction pieces. In academic writing, thematic essays often center on a specific issue or theme and develop that theme throughout the essay.

Thematic essays are often assigned in high school English classes and college writing courses. They are also found on standardized tests such as the SAT and ACT.

If you need to refresh your memory regarding general essay writing, check our detailed guide: How to Write an Essay

There are a few different literary devices that are often used in thematic writing. These devices can help create a more cohesive essay or story and can also help emphasize the theme.

One literary device that is often used in thematic writing is symbolism. Symbolism is when an object, person, or place represents something else. For example, in the novel The Great Gatsby, the character Daisy Buchanan symbolizes wealth and shallowness. In the story “The Lottery” by Shirley Jackson, the black box that is used for the lottery represents tradition and the blind following of rules.

Definition and Purpose

A thematic essay is an essay that requires you to write about a particular question or theme. Thematic essays are often written in response to prompts that ask you to discuss a specific aspect of a larger topic.

The main point of a thematic essay is to show the development of a theme throughout a work of literature or to compare the way different authors or works deal with similar themes.

Essentials of a thematic essay:

• must be focused on a central theme
• must develop that theme with specific examples from the text(s)
• must synthesize several elements of the text(s), including plot, character, setting, style, tone, etc.
• must not be a mere plot summary
• must use evidence from the text(s) to support your argument
• must be well organized, with a clear introduction, body paragraphs, and conclusion

If you want to learn more about essays in general, we suggest you read this guide: Essay Definition

Pre-writing stage

Before you write a thematic essay, it is important first to understand the prompt and Rubric . The prompt will ask you to write about a specific theme, such as “Justice in Othello.” The Rubric will outline the specific requirements for the essay, including things like length, formatting, and the inclusion of outside sources.

So, before writing a thematic essay, you should carefully read the prompt and think about what you want to write about. Make sure that you understand what the prompt is asking you to do.

Some tips for pre-writing:

• Brainstorm possible themes or ideas that could be related to the prompt.
• Choose a central theme or idea you are interested in and think you can write about persuasively.
• Come up with specific examples from the text(s) that you can use to support your argument.
• Make a list of the different ways that the overall significance of the theme or idea can be developed.
• Decide on the main point you want to make about the theme or idea.
• Organize your thoughts and develop a thesis statement.

Analyzing the prompt and developing a thesis statement

To write a thematic essay, you need to analyze the prompt first. You will need to identify the task that the prompt is asking you to do, and you will need to identify the main idea of the passage.

For example, a prompt might ask you to write about the use of symbols in a work of literature. To answer this prompt, you would need to identify the different ways that symbols are used in the text. You also need to determine what the author is trying to communicate using symbols.

Literary theme analysis prompt example ( TKAM ):

How does Harper Lee use the symbol of the mockingbird to explore the theme of innocence in To Kill a Mockingbird?

When analyzing this prompt, consider what the mockingbird symbolizes in the novel and how this relates to the larger theme of innocence. You might discuss specific characters who embody innocence, such as Scout or Atticus, and how the events of the novel impact them. You might also discuss the impact of innocence on the town of Maycomb as a whole.

One example of how Harper Lee uses the symbol of the mockingbird to explore the theme of innocence is through the character of Scout. Scout is a young girl who is innocent and naive in many ways. She does not understand the prejudice and hatred that exists in her community. However, she can also see the good in people, even when they are not perfect. The mockingbird symbolizes this innocence.

Your thesis statement can look something like this:

The symbol of the mockingbird in To Kill a Mockingbird by Harper Lee is used to represent the innocence of characters like Scout and Atticus, as well as the innocence of the town of Maycomb as a whole.

Other examples of thematic essay topics:

• The Catcher in the Rye: How does J.D. Salinger use the character of Holden Caulfield to explore the theme of teenage angst and rebellion?
• Heart of Darkness: How does Joseph Conrad use the character of Kurtz to explore the theme of colonialism and its effects on the human psyche?
• All Summer in a Day: How does Ray Bradbury use the character of Margot to explore the theme of bullying and its effects on victims?
• The Great Gatsby: How does F. Scott Fitzgerald use the character of Daisy Buchanan to explore the theme of the American Dream?
• Metamorphosis: How does Franz Kafka use the character of Gregor Samsa to explore the theme of alienation?

Outlining your thematic essay

After you have analyzed the prompt and developed a thesis statement, you can begin to outline your essay .

Thematic essays usually have a standard structure and consist of five paragraphs. That typically requires you to include an introduction, three body paragraphs, and a conclusion.

Each body paragraph should discuss a different aspect of your thesis. For example, if you need to write a thematic essay about the use of symbols in a work of literature, you might discuss how symbols represent different themes in the novel.

Your thematic essay outline might look something like this:

Introduction:

• Provide a brief overview of the work of literature you will be discussing
• Introduce the main idea or central theme that you will be discussing
• Thesis: The symbol of the mockingbird in To Kill a Mockingbird by Harper Lee is used to represent the innocence of characters like Scout and Atticus, as well as the innocence of the town of Maycomb as a whole.

Body Paragraph 1: Symbols representing innocence

• The mockingbird symbolizes Scout’s innocence
• The mockingbird symbolizes Atticus’ innocence
• The mockingbird symbolizes the innocence of Maycomb

Body Paragraph 2: The loss of innocence

• Scout loses her innocence when she witnesses the trial
• Atticus loses his innocence when Mr. Ewell attacks him
• Maycomb loses its innocence when Tom Robinson is convicted

Body Paragraph 3: The importance of innocence

• Innocence is important because it allows people to see the good in others
• Innocence is important because it allows people to hope for a better future
• Innocence is important because it allows people to see the world in a more positive light

Conclusion:

• Restate your thesis statement
• Discuss the larger implications of your thesis statement
• Leave the reader with something to think about

You can also dedicate each body paragraph to one specific character or one specific event in the novel.

For example, you might discuss how Scout’s innocence is represented by the mockingbird symbol and how this innocence is lost when she witnesses the trial. In your second body paragraph, you could discuss how Atticus’ innocence is represented by the mockingbird symbol and how this innocence is lost when he is attacked by Mr. Ewell. In your third body paragraph, you might discuss how the innocence of Maycomb is represented by the mockingbird symbol and how this innocence is lost when Tom Robinson is convicted.

Writing the thematic essay

Once you have developed a clear thesis statement and created a thematic essay outline, you can begin writing. We complement each section with a thematic essay example part to better illustrate how it can look.

Introduction

The introduction of your thematic essay should briefly state what you will be discussing in your paper and provide background information. The introduction should also include your thesis statement, which is the main argument of your paper, at the end.

At the very start, you can also use a hook to grab the reader’s attention . A hook is usually a sentence or two that draws the reader in and piques their interest.

Introduction example of a thematic essay:

“Mockingbirds don’t do one thing but make music for us to enjoy. They don’t eat up people’s gardens, don’t nest in corncribs, they don’t do one thing but sing their hearts out for us. That’s why it’s a sin to kill a mockingbird.” This quote, spoken by Atticus Finch, perfectly encapsulates the symbol of the mockingbird in Harper Lee’s To Kill a Mockingbird. To Kill a Mockingbird by Harper Lee is a novel about the loss of innocence. The symbol of the mockingbird is used to represent the innocence of characters like Scout and Atticus, as well as the innocence of the town of Maycomb as a whole. The loss of innocence is an important theme in the novel, and it is represented in the characters of Scout, Atticus, and Maycomb.

Body paragraphs

Your body paragraphs should each be dedicated to one specific character or event in the novel and start with a topic sentence . After the topic sentence, you should use evidence to support it. You must analyze the evidence, not just merely state it. Lastly, end your body paragraph with a conclusion and transition to the next section.

A thematic essay body paragraph example:

One example of the loss of innocence is Scout. When the novel begins, Scout is an innocent child who does not understand the ways of the world. “‘Don’t you ever do that again,’ I said. ‘Don’t you ever do that again, it’s bad enough having Jem tell on me without you adding to it.’” (Lee 9). Scout is chastised by her father, Atticus, for fighting with her cousin, Francis. In this quote, Scout does not understand why fighting is bad and must be scolded by Atticus. However, by the end of the novel, Scout has learned the true evil that exists in the world and has lost her innocence. “It was then that I finally understood Mrs. Dubose’s courage, not because she had won, but because she had had the courage to fight and the strength to lose.” (Lee 281). Scout has come to understand that even though Mrs. Dubose lost her battle with addiction, she was still brave for fighting it. Mrs. Dubose’s courage has taught Scout that even in the face of defeat, there is still hope. Scout has lost her innocence because she has learned that the world is not a perfect place and that people are not always good.

Check our citation guide to learn more about using quotes in essay: How to Introduce a Quote

Your concluding statement should sum up the main points of your thematic essay and rephrase your thesis (restate it in different words). You can also discuss broader implications or give your opinion on the topic, but don’t add any new information.

A conclusion example of a thematic essay:

To Kill a Mockingbird is a novel about innocence—the loss of it, the destruction of it, and the fight to keep it. The characters of Scout, Atticus, and Maycomb all represent different aspects of innocence, and the novel explores how they each deal with the loss of their innocence. Scout loses innocence when she learns that the world is not perfect and people are not always good. Atticus loses his innocence when he realizes that sometimes the justice system does not work as it should. Maycomb loses its innocence when it is revealed that racism and prejudice are alive and well in the town. The loss of innocence is a sad but inevitable part of life, and To Kill a Mockingbird shows us that this loss can sometimes be for the better.

Final tips on thematic essay writing

Now that you know the main steps involved in the writing process of a decent thematic essay, here are some of the final tips and key takeaways that you should keep in mind when doing this task:

• Make sure to brainstorm first and develop a good thesis statement that will guide the rest of your essay.
• Create a thematic essay outline before starting to write the essay itself. This will help you stay on track and not miss any important points that you want to include.
• Start each body paragraph with a topic sentence that introduces the paragraph’s main point.
• Use concrete and specific examples to support your points.
• Pay attention to your grammar and spelling.
• Make sure to conclude your thematic essay in a strong way that ties everything together.
• Analyze the work, not just summarize it.
• Take your time, and don’t rush the essay.
• And lastly, proofread your work before submitting it.

By following these tips, you should be able to write a thematic essay that will impress your teacher or professor.

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A thematic essay is a type of writing assignment that focuses on a specific theme or topic. It requires you to identify a central theme, discuss it in detail, and make connections between various facts. Your main goal is to demonstrate understanding and interpretation of the given subject matter. This type of essay is commonly used in literature classes or history exams.

If you’ve got an assignment to write a theme essay, you might wonder where you should even start from. No worries, we’ve got you covered here! The first thing you must know about this specific type of paper is that it aims to analyze a certain well-known theme and make an interesting statement about it. Here, you must explain meaning and relevance or complexity of your topic. You should summarize details that support your conclusion. In this article, we will conduct a detailed review of theme essay concept. We will also provide you a step by step guide on how to write a proper one. Let's dive right into it!  

Thematic Essay Definition

Let’s start with defining what is a thematic essay and its purpose. In this type, one should select a thesis and form unique statement related to its aspects. You should write about it, explaining or elaborating to your audience the following:

• How is your statement related to your topic?
• Which important or interesting aspects does it highlight?
• What approaches and literary devices are you using for analysis ? How do you explain your general theme? This can be comparison, metaphor, personification etc.

When composing such an essay, you must formulate and defend your statement. Here, you will demonstrate abilities of analysis and literary devices usage. At least several paragraphs would be needed to display such skills properly.

Thematic Essay Outline: What's Inside

The best way to begin is creating a theme essay outline for your topic. An outline should contain all key parts, concepts and ideas of your paper. You should put it in a sketchy but logical manner. This way you'll quickly prepare a shortened version of your assignment. It will also help you in reviewing it. Adding missing points and correcting significant mistakes would be easier at this early stage. Outline should include all main essay parts:  

• Introduction
• Thesis statement
• Body section
• Conclusion.

Keeping it brief, you should not provide complete sentences to describe your statements, ideas and arguments. A few words would suffice for each important point. Purpose is to make it readable for yourself! You should review it quickly and spot any inconsistencies.

How to Write a Thematic Essay Step-By-Step

Now it is time to focus on how to write a theme analysis essay – the complete text from scratch. Is your goal to impress readers and achieve a good grade? Then it is important that you create a proper essay structure template and don't lose any of your key questions! Stay methodical and keep it logical! Make sure your audience is engaged and don’t disappoint them in the end. Below we’ll provide a general idea for each step of this process.

Step 1. Define the Topic for Your Thematic Essay

When it comes to choosing among thematic essay topics, it is important that you pick an interesting and maybe even a controversial one. At the same time, make sure you can actually provide some meaningful input about it. Your assignment should impress readers with detailed analysis and its author’s writing skills. That's why your chosen topic must provide enough material for that.  There is a diverse choice of topics. Choose the one you are really interested in whether it is  Bullying essay  or  Happiness essay . If you need some ideas for great essay topics, feel free to check out our other articles.  

Step 2. Create a Thematic Essay Outline

We've already covered the main points of theme essay outline concept. When writing it, include all the main parts of your future work. Keep it as short as possible, one paragraph per each key point will be enough. It isn’t even necessary to describe everything with complete sentences! A few words would suffice. Once done, review it first and make necessary corrections. It is advised to review an outline several times. That's how any noticeable gaps or mistakes would be spotted early.

Step 3. Start a Thematic Essay with a Hook

A good thematic essay introduction ought to captivate readers right from the start. That’s why it is always advised to add some ‘hook’ into it. You can begin with an unexpected statement, use wordplay or a plot twist. Then you can explain this in the main body part. This way your audience would be interested to hear those explanations. As a result, your paper will have better chances of success. Apart from that, introduction should contain the main statement and some information about its content.  

Step 4. Write Body Paragraphs for Your Theme Essay

Goal of thematic essay body is to answer all the questions stated in an introduction. You must elaborate the meaning of each key idea. Finally, display your usage of literary devices, as we’ve specified earlier. Common practice is to use at least one paragraph per a literary device disclosure. Besides, the main body is the right place to use all relevant sources that can support your analysis or provide you with helpful analogies. Keep the main body logical, so that every paragraph is somehow connected to the previous and the next ones.  

Step 5. Create a Thematic Essay Conclusion

A strong thematic essay conclusion should highlight all important points from tyourhe essay while avoiding adding new facts or evidence. Just restate your thesis, answer all questions and summarize your arguments. It might be also useful to leave some final note for readers with some deeper analysis of your topic. You can also highlight the need for further exploration of the chosen theme and thus to prepare readers for your future works on this topic.  

Step 6. Proofread Your Thematic Analysis Essay

After completing theme essay, it is highly recommended to review it thoroughly, even several times if possible. The goal is to find mistakes and to spot logical gaps or missing details. Even best essays typically have inconsistencies left at the early stage. Taking a fresh look at your text often reveals some issues. If possible, ask your friends or colleagues to review your text. They might notice something you could not.  

How to Format a Thematic Essay

When it comes to thematic essay format, you need to find out what are the requirements in your assignment or which format is common in the institution you will be presenting your essay for. In case no special requirements were made for you, just choose one of the most popular formats for scholarly papers:  

• APA paper format : typically used in natural sciences, education and psychology fields
• MLA: typically used for works in humanities
• Chicago: typically used in business, history, and fine arts fields.

Thematic Essay Example

Let’s illustrate the explanations above with a few theme essay examples. We’ll provide some real ones here so that your every question would be answered. Hopefully you’ll find some inspiration in these examples for your own winning paper! The examples can be found below. Please scroll down to find them.  

Thematic Essay: Final Thoughts

In this article we have explored the theme essay concept in detail. Its central purpose and main definition were examined and a step by step guide for writing a strong one was suggested. We’ve also provided a few working examples for your convenience. Hopefully, all this information will be useful for your scholarly endeavors!

Feel free to check out our  paper writing services ! We’ve got a team of skilled writers with expertise in different literary areas, ready to help you. They deliver high quality content, always on time.  

Frequently Asked Questions About Theme Essay

1. what is the thematic statement.

A thematic statement typically takes the place of a thesis in a thematic essay. It consists of 1-2 complete sentences that express a theme which you have chosen for your work. This statement must convey the main message and also show what analysis will be done. It should be brief however as most of the details are to be provided in the main body.

2. What is the goal of thematic essay?

The thematic essay goal is to express an idea or some insights about the surrounding world and to change readers' minds about certain issues. As an author, you are expected to illustrate the team, provide all necessary explanations and conduct an analysis if needed. Besides, you typically should demonstrate familiarity with some literary interpretations and methods which are used to examine your theme.

3. How long should a theme essay be?

The minimum length of a theme essay is five paragraphs. One is for introduction, one for conclusion and remaining three for the main body. Of course, it can be more than that, depending on the depth of the theme that was chosen. The main rule is to keep your essay logical and concise, avoiding adding too many details. Otherwise your audience might get tired and the effect produced by your writing would be damaged.

4. What is a thematic essay history?

Thematic essay (history class) should be written to analyze some historical facts or significance of specific literary pieces. A typical case is examining different aspects of a controversial leader from the past or a political event that has produced a number of various important consequences. Or you might argue about a specific role of a certain book during a certain period or its influence on different nations or cultural groups.

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How to do a thematic analysis

What is a thematic analysis?

When is thematic analysis used, braun and clarke’s reflexive thematic analysis, the six steps of thematic analysis, 1. familiarizing, 2. generating initial codes, 3. generating themes, 4. reviewing themes, 5. defining and naming themes, 6. creating the report, the advantages and disadvantages of thematic analysis, disadvantages, frequently asked questions about thematic analysis, related articles.

Thematic analysis is a broad term that describes an approach to analyzing qualitative data . This approach can encompass diverse methods and is usually applied to a collection of texts, such as survey responses and transcriptions of interviews or focus group discussions. Learn more about different research methods.

A researcher performing a thematic analysis will study a set of data to pinpoint repeating patterns, or themes, in the topics and ideas that are expressed in the texts.

In analyzing qualitative data, thematic analysis focuses on concepts, opinions, and experiences, as opposed to pure statistics. This requires an approach to data that is complex and exploratory and can be anchored by different philosophical and conceptual foundations.

A six-step system was developed to help establish clarity and rigor around this process, and it is this system that is most commonly used when conducting a thematic analysis. The six steps are:

• Familiarization
• Generating codes
• Generating themes
• Reviewing themes
• Defining and naming themes
• Creating the report

It is important to note that even though the six steps are listed in sequence, thematic analysis is not necessarily a linear process that advances forward in a one-way, predictable fashion from step one through step six. Rather, it involves a more fluid shifting back and forth between the phases, adjusting to accommodate new insights when they arise.

And arriving at insight is a key goal of this approach. A good thematic analysis doesn’t just seek to present or summarize data. It interprets and makes a statement about it; it extracts meaning from the data.

Since thematic analysis is used to study qualitative data, it works best in cases where you’re looking to gather information about people’s views, values, opinions, experiences, and knowledge.

Some examples of research questions that thematic analysis can be used to answer are:

• What are senior citizens’ experiences of long-term care homes?
• How do women view social media sites as a tool for professional networking?
• How do non-religious people perceive the role of the church in a society?
• What are financial analysts’ ideas and opinions about cryptocurrency?

To begin answering these questions, you would need to gather data from participants who can provide relevant responses. Once you have the data, you would then analyze and interpret it.

Because you’re dealing with personal views and opinions, there is a lot of room for flexibility in terms of how you interpret the data. In this way, thematic analysis is systematic but not purely scientific.

A landmark 2006 paper by Victoria Braun and Victoria Clarke (“ Using thematic analysis in psychology ”) established parameters around thematic analysis—what it is and how to go about it in a systematic way—which had until then been widely used but poorly defined.

Since then, their work has been updated, with the name being revised, notably, to “reflexive thematic analysis.”

One common misconception that Braun and Clarke have taken pains to clarify about their work is that they do not believe that themes “emerge” from the data. To think otherwise is problematic since this suggests that meaning is somehow inherent to the data and that a researcher is merely an objective medium who identifies that meaning.

Conversely, Braun and Clarke view analysis as an interactive process in which the researcher is an active participant in constructing meaning, rather than simply identifying it.

The six stages they presented in their paper are still the benchmark for conducting a thematic analysis. They are presented below.

This step is where you take a broad, high-level view of your data, looking at it as a whole and taking note of your first impressions.

This typically involves reading through written survey responses and other texts, transcribing audio, and recording any patterns that you notice. It’s important to read through and revisit the data in its entirety several times during this stage so that you develop a thorough grasp of all your data.

After familiarizing yourself with your data, the next step is coding notable features of the data in a methodical way. This often means highlighting portions of the text and applying labels, aka codes, to them that describe the nature of their content.

In our example scenario, we’re researching the experiences of women over the age of 50 on professional networking social media sites. Interviews were conducted to gather data, with the following excerpt from one interview.

In the example interview snippet, portions have been highlighted and coded. The codes describe the idea or perception described in the text.

It pays to be exhaustive and thorough at this stage. Good practice involves scrutinizing the data several times, since new information and insight may become apparent upon further review that didn’t jump out at first glance. Multiple rounds of analysis also allow for the generation of more new codes.

Once the text is thoroughly reviewed, it’s time to collate the data into groups according to their code.

Now that we’ve created our codes, we can examine them, identify patterns within them, and begin generating themes.

Keep in mind that themes are more encompassing than codes. In general, you’ll be bundling multiple codes into a single theme.

To draw on the example we used above about women and networking through social media, codes could be combined into themes in the following way:

You’ll also be curating your codes and may elect to discard some on the basis that they are too broad or not directly relevant. You may also choose to redefine some of your codes as themes and integrate other codes into them. It all depends on the purpose and goal of your research.

This is the stage where we check that the themes we’ve generated accurately and relevantly represent the data they are based on. Once again, it’s beneficial to take a thorough, back-and-forth approach that includes review, assessment, comparison, and inquiry. The following questions can support the review:

• Has anything been overlooked?
• Are the themes definitively supported by the data?
• Is there any room for improvement?

With your final list of themes in hand, the next step is to name and define them.

In defining them, we want to nail down the meaning of each theme and, importantly, how it allows us to make sense of the data.

Once you have your themes defined, you’ll need to apply a concise and straightforward name to each one.

In our example, our “perceived lack of skills” may be adjusted to reflect that the texts expressed uncertainty about skills rather than the definitive absence of them. In this case, a more apt name for the theme might be “questions about competence.”

To finish the process, we put our findings down in writing. As with all scholarly writing, a thematic analysis should open with an introduction section that explains the research question and approach.

This is followed by a statement about the methodology that includes how data was collected and how the thematic analysis was performed.

Each theme is addressed in detail in the results section, with attention paid to the frequency and presence of the themes in the data, as well as what they mean, and with examples from the data included as supporting evidence.

The conclusion section describes how the analysis answers the research question and summarizes the key points.

In our example, the conclusion may assert that it is common for women over the age of 50 to have negative experiences on professional networking sites, and that these are often tied to interactions with other users and a sense that using these sites requires specialized skills.

Thematic analysis is useful for analyzing large data sets, and it allows a lot of flexibility in terms of designing theoretical and research frameworks. Moreover, it supports the generation and interpretation of themes that are backed by data.

There are times when thematic analysis is not the best approach to take because it can be highly subjective, and, in seeking to identify broad patterns, it can overlook nuance in the data.

What’s more, researchers must be judicious about reflecting on how their own position and perspective bears on their interpretations of the data and if they are imposing meaning that is not there or failing to pick up on meaning that is.

Thematic analysis offers a flexible and recursive way to approach qualitative data that has the potential to yield valuable insights about people’s opinions, views, and lived experience. It must be applied, however, in a conscientious fashion so as not to allow subjectivity to taint or obscure the results.

The purpose of thematic analysis is to find repeating patterns, or themes, in qualitative data. Thematic analysis can encompass diverse methods and is usually applied to a collection of texts, such as survey responses and transcriptions of interviews or focus group discussions. In analyzing qualitative data, thematic analysis focuses on concepts, opinions, and experiences, as opposed to pure statistics.

A big advantage of thematic analysis is that it allows a lot of flexibility in terms of designing theoretical and research frameworks. It also supports the generation and interpretation of themes that are backed by data.

A disadvantage of thematic analysis is that it can be highly subjective and can overlook nuance in the data. Also, researchers must be aware of how their own position and perspective influences their interpretations of the data and if they are imposing meaning that is not there or failing to pick up on meaning that is.

How many themes make sense in your thematic analysis of course depends on your topic and the material you are working with. In general, it makes sense to have no more than 6-10 broader themes, instead of having many really detailed ones. You can then identify further nuances and differences under each theme when you are diving deeper into the topic.

Since thematic analysis is used to study qualitative data, it works best in cases where you’re looking to gather information about people’s views, values, opinions, experiences, and knowledge. Therefore, it makes sense to use thematic analysis for interviews.

After familiarizing yourself with your data, the first step of a thematic analysis is coding notable features of the data in a methodical way. This often means highlighting portions of the text and applying labels, aka codes, to them that describe the nature of their content.

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How to Write a Thematic Essay: The Complete Guide

by  Antony W

June 24, 2024

In this guide, you'll learn exactly how to write a thematic essay step-by-step.

Thematic essays, or theme essays, require you to really examine a literary object such as a book, journal, paper, or other art form and pick out the main ideas (themes).

You will then explain how these themes are brought on and what literary devices are used to do that.

Key Takeaways 

To write an outstanding theme essay, you should: 

• Select a literary work to base your thematic analysis on.
• Choose a primary theme.
• Identify supporting evidence and literary devices   used.
• Plan and outline the essay.
• Write the first draft.
• Edit and proofread your work for submission.

What is a Thematic Essay? 

A thematic essay is a one in which you identify the main idea (theme) expressed in a chosen literary object and explore how the writer of that literature chooses to address that theme through various literary devices.

The devices can be metaphors, hyperbole, imagery, allegory, and many others.

Writing a thematic analysis essay is a great way to learn how to pick out themes in the literature you read as well as how to improve your writing skills.

A thematic essay will be at least five paragraphs long , but usually longer depending on the complexity of the work being reviewed.

You can write a thematic essay based on a book, a speech, a magazine article, a video, audio, or any other art form.

Choosing a Theme for a Thematic Essay 

Choosing the main idea or theme of such a work is not a straightforward process.

It is highly subjective, and what you consider the main theme in a book may not be somebody else’s.

You have to make sure that what you pick as your main theme is fully supported throughout the book and makes significant appearances in most chapters, if not all of them.

How to Write a Thematic Essay Step by Step 

Writing a thematic essay is easy. You just have to: 

1. Choose a Literary Object

If your instructor does not provide the topic, think back to a book or article that made a strong impression to you, or think about your favorite pieces of literature.

Another option is to brainstorm. Brainstorming hardly fails, especially if you incorporate the help of your friends and even your instructor.

Collect different ideas and be sure to write each of them down, no matter how unlikely they sound. From there, eliminate most of these the following criteria:

• The topic should be interesting and captivating. Avoid those that are too common and overly used in academia unless you can provide a fresh twist or insight.
• The topic needs to have one or more important themes running through.
• It should be a literary work that is relatively well known and in the public domain.
• Some of the shorter works are best because they guarantee your essay won’t be too long.

This process will likely leave you with one or two possible topics, but make sure to confirm with your instructor that what you choose to focus on is acceptable.

2. Find a Relevant Theme

A theme is a significant idea that recurs throughout the literary work you have chosen. You can think of it as the main message the author is trying to pass across. 

There are major and minor themes differentiated by how much attention the author gives to each.

For the best outcome, your theme should be one of the major themes addressed throughout the work.

There are a few things you can do to figure out what major themes are present: 

• As you read the work, note and write down what tone, setting, language styles, and characterization the writer is using.
• What is the plot of the book and what does it lead to? Think about what you would tell somebody else about the book.
• Identify who the protagonist (main character) is and what they represent. Do they change at all in the book? 

For example, in Harper Lee’s To Kill a Mockingbird, Atticus Finch does not change and represents morality, love, fairness, and good reason to the end.

• Put yourself in the author’s shoes and observe from their point of view. What message do you think they want to pass on as the most important?

3. Pick Material for the Essay

Read through the book again with the main theme in mind.

See how the author plays with it, what literary devices are used to highlight their thematic approach, and write down all these for reference.

What you are doing at this stage is a literary analysis.

The tools in the author’s hands include character development, mood, setting, irony, allegory, simile, alliteration, symbolism, metaphor, among many others.

Think about how effective these tools are in shining the light upon the main theme. It helps to read between the lines as well because sometimes the most important thing is what the author leaves unsaid.

4. Planning: Thematic Essay Outline 

A thematic essay is very simple and straightforward. Like most essays, it will have an introduction, body, and conclusion.

Each of these parts should be considered carefully in the planning stage and map out which ideas will go where.

Introduction

The introduction serves to catch the reader’s interest, set the background, and mention what exactly you intend to discuss in the essay.

The first one or two sentences should be a hook, that is, a statement that will be intriguing enough to make the reader want to keep reading. It can be a clever observation, a surprising statement, or even a relevant question.

Second, provide a very brief background on which to build your essay.

However, you will be assuming that the reader has already read the literary work that is the subject of the essay. So you don’t have to give too much detail.

In winding up the introductory, write your thesis statement . This is a one-sentence statement that tells the reader what your essay is about.

However, don’t say it like this: “My thesis statement is ... “ Instead, let the introduction flow and link smoothly up to this point.

Body paragraphs

You will have three or more body paragraphs detailing your arguments about the main theme. In a thematic essay, each of the body paragraphs will be focusing on one literary device and how it is useful in presenting the theme message.

As with most essays, body paragraphs will follow the TEEL format. 

• Topic Sentence : The introductory sentence introduces the idea that the paragraph is about. Think of it as a mini-thesis statement. The rest of the paragraph will be explaining and supporting this one statement.
• Explanation:  Explain your topic idea clearly.
• Evidence : Give compelling evidence for your claims. It can be a quote, a direct observation, similar use of the same method elsewhere in the book, a citation from an authoritative work, etc.
• Link : Show how the idea you just described links with the rest of the essay and thesis statement. Again, you won’t say, “this idea relates to my thesis statement because …” Instead, let the whole paragraph flow smoothly and seamlessly.

The number of body paragraphs will depend on how much evidence you have collected. However, make sure to keep within the reasonable word count parameters as given by your instructor.

Recap the main arguments in your body and restate your thesis statement.

The purpose of the conclusion is to give your “take-home” argument, what you feel the reader should retain from the whole work.

Customize your theme essay outline accordingly; don’t make it as generic as this example here.

Fill it with details like what ideas you will include in your first paragraph, what your thesis statement will be, and what your introduction hook is. With this thematic essay format, you are now ready to do the write-up.

5. Write the Essay

With a good outline, writing a thematic essay becomes a piece of cake. You will simply be fleshing out the template.

6. Proofreading and Revision

Make sure to read through your essay at least twice.

Note how well your ideas flow, how the arguments and evidence presented link back to the thesis statement, and of course, clear any grammatical errors. 

Thematic Essay Writing Help 

If you don’t have the time to read your subject thoroughly and analytically, you can hire Help for Assessment’s  essay writing service .  We have a suitable writer that can help you get the assignment completed on time. 

Frequently Asked Questions 

1. how do you start a theme essay.

The introduction of your theme essay should be an intriguing hook about the subject you wish to discuss.

Ensure the hook is concise and strong enough to grab your reader’s attention.

2. What are the Elements of a Thematic Essay? 

The elements of a thematic essay are the introduction, body paragraphs, and the conclusion.

Ensure the introduction includes a thesis statement. The body paragraphs should support the thesis using relevant examples, evidence, and arguments.

Lastly, the conclusion should be logical enough to tie everything together at the end.

3. What is the Main Point of a Thematic Essay? 

The main point of a thematic essay is to identify themes from a source, present a theme statement, and address a specific issue within the requirement of the assignment. 

About the author 

Antony W is a professional writer and coach at Help for Assessment. He spends countless hours every day researching and writing great content filled with expert advice on how to write engaging essays, research papers, and assignments.

How to Write a Thematic Essay?

06 August, 2020

12 minutes read

Author:  Kate Smith

The road to graduation from any educational institution is lined with essays and written assignments – and the majority of these happen to be thematic essays, as they are supposed to demonstrate that the students understand the topic or material well. A thematic essay is almost as old as writing is, for it focuses on investigating a topic to provide detailed analysis and evidence of why a certain claim can be made.

What is a Thematic Essay?

Although this type of essay is commonly used to analyze some historical facts or a specific literary piece and its significance, a thematic essay can be assigned on a variety of subjects. It is also a traditional classroom essay that may be a part of different exams, so students may be required to craft a thematic essay within limited time, sticking to the topic provided. This is the main reason why they consider thematic essays difficult, but whenever there’s a longer deadline and a choice of topics, the writing process is easier.

However, there’s an important thing that everyone who’s wondering ‘what is a thematic essay?’ needs to know. This type of essay mainly lets the teacher determine your knowledge of the material, and it should demonstrate your comprehension of the topic that you can back up with solid arguments and relevant examples. But proper structure is just as essential to your writing as the scope of the topic. All of the points you want to make, as well as the supporting evidence must be organized in a clear, consecutive way. If your essay lacks focus or is illogical in its organization, your readers will not be able to recognize neither the thoroughness of your research, nor the significance of your critical thinking. They might even have trouble following what evidence you found to help you arrive at a certain conclusion.

How to Find and Explore the Central Theme?

To tackle this type of essay, you often have to narrow down a topic that’s too broad before getting started on your writing. A theme is what an author portrays in a literary work, or the specific point the author is making. Often, it is the most frequently discussed one, or it is a lesson of the greatest overall significance that can be derived from the work and applied to our lives. Thus, to effectively plan out how you are going to write a thematic essay, identify the theme first. Focus on the main point the author is trying to make about a particular subject, the message he is trying to convey, why it is relevant or important at the moment, and the way the reader can benefit from it.

That’s why having a place to start and an outline to follow lays the groundwork for your thematic essay. It is the most important step in the entire essay writing process.

Thematic Essay Outline

By using an outline to shape your essay, you have a format to follow that ensures knowledge of the topic, addressing all the questions of the assignment, and keeping all of the points you want to make well-organized. A thematic essay outline lets you effectively draw parallels between different facts, formulate a coherent and detailed evaluation of the topic, and see whether something in the essay is lacking or needs to be rearranged and revised.

Some essay types may have less rigid layouts and writing requirements, allowing for more creativity and freedom when it comes to formatting. However, this is not the case with instructions on how to write a thematic essay. Just as with other traditional essays, there should be at least five paragraphs in a thematic essay, including an introduction with a thesis statement, three body paragraphs that will support your thesis with relevant arguments and examples, and a logical conclusion to wrap everything up at the end.

Introduction 

Generally, to write a thematic essay you need to have an idea of what your thesis will be, how your body paragraphs will prove it, and how you are going to summarize all of the arguments detailed in the body of the essay in your conclusion. The introduction has to present the main subject of your essay as well as any necessary background information and your thesis statement. At the same time, it should be interesting enough to make the reader want to learn more about the topic. The opening sentence of the introduction is often referred to as a ‘hook’ because it is supposed to grab the reader’s attention. For this purpose, it can evoke anticipation, controversy, irony, or ask a question. The thesis statement is very important because it gives your topic a direction and a specific purpose.

The thesis statement lays the ground for further analysis, for answering a specific question, asserting an opinion or explaining how and why something works (or has worked/failed to produce an expected result). Think of your thesis statement as a compelling and concise headline that gives the reader a good idea of what the rest of the paper is about and what to expect next. It should be engaging, but not confusing to your audience. Have you ever been extremely disappointed by reading an article or watching a movie because it wasn’t what the headline, magazine cover or a movie trailer promised it to be? To make sure your reader doesn’t feel like that, you want your thesis to be integral to the essay and to all of the evidence that you provide in the following body paragraphs. Quite often, a thesis statement needs a few revisions to acquire more focus and clarity as you add the body paragraphs to your thematic essay.

Body paragraphs 

While the 5-paragraph structure gives you a basic layout to work with, it should have three body paragraphs because the thesis must be supported by at least three significant arguments. However, unless the essay has a required length, you can include more supporting facts or examples. There may be more body paragraphs than just three, depending on the details of the assignment or the points you are required to address, but keep in mind that your essay should be concise and devoid of wordiness. Usually, the essay writer should focus on one point or sub-topic per paragraph, but depending on the complexity of the topic, the quantity of paragraphs for validating each claim or explaining your reasoning may vary. 

You can think of body paragraphs as building blocks that include expert quotes or specific examples to add weight to them, as well as to your arguments. This is the ‘meat of your essay’ as long as you make sure that you explain the logic behind each quotation or evidence supporting your claim, and that it is in sync with your thesis statement. Such connections are essential as they tie not only the evidence and arguments, but an entire essay together. 

The conclusion is not simply a reiterated thesis, but a reinforced one. However, it’s important to keep in mind that it should not introduce any new facts not discussed in the body of a thematic essay. The conclusion has to summarize the information presented in the essay, briefly going over the main ideas or claims and explaining how they influence your thesis. Finally, it should wrap up your essay in the most meaningful way, emphasizing the significance and relevance of your topic.

Thematic Essay Examples

Check the examples of thematic essays to use as writing models:

https://www.template.net/business/essay/five-paragraph-essay-template/

Thematic essay topics

To sum up, reading some properly structured thematic essay examples may be the most helpful tip for understanding what your essay should look like, and how to organize your thoughts into a logical sequence. Besides, a list of the most commonly used thematic essay topics is a frequent search query along with ‘thematic essay examples’, as it helps students to get an idea of what to expect at exams.

US History Thematic Essay

In this essay, there will be fewer words that address the reader. The purpose of this writing is to present a balanced analysis of a topic based on facts, explaining a topic in a logical and straightforward manner.

US History thematic essay example topics:

• Major movements in U.S. history
• Major advances in U.S. history
• Significant government reforms
• U.S. Presidents and their major decisions 
• U.S. wars and conflicts

Global Regents Thematic Essay 

These topics are likely to feature broad concepts, but they usually include tasks and suggestions that are more specific. In your essay, you are supposed to address this detailed task and the issues, concepts or questions it prompts you to explain or interpret. Using examples from your course of global history or geography is also required in your thematic essay. 

Global Regents thematic essay example topics:

• Impact of colonizations on world history
• Migrations of people and their effects
• Major characteristics of world civilizations
• Cultures and their contributions
• Economic Systems
• Political Systems
• The turning points in history (revolutions, conflicts, wars)
• Revolutions and clashing of ideas
• Revolutions and new discoveries
• Scientific development
• Technological progress
• Human rights: impactful leaders and their ideas
• Human rights violations

Belief Systems Thematic Essay

A belief system is a way a group or an individual regards religious or philosophical principles. The beliefs that have formed major religions or a mainstay of a civilization may be similar or different, but each belief system has influenced the lives of its followers as well as the history, culture, politics, or economy of a specific nation or country.

Belief Systems thematic essay example topics:

• How belief systems influenced ancient civilizations?
• How did a belief form a religion?
• Cultures as systems of interconnections between humans
• The role of religion in Ancient Roman society
• The three major monotheistic religions: Judaism, Christianity and Islam
• Judaism: the first monotheistic religion
• The personal belief system and life values
• Compare Christianity to another religion. Are there more similarities or differences?
• Compare two struggles for religious freedom in different countries and time periods
• What makes all struggles for religious freedom similar?

The bottom line

While students often have difficulties writing thematic essays, these are not the most complicated tasks to complete within a certain course or subject. They just require making a detailed examination of the topic using relevant facts, examples or other evidence that you should be able to find in order to make your arguments more solid, and to show that you have gained a thorough understanding of the topic. However, you mustn’t just summarize the well-known facts or what you have learned from a course or book. In a thematic essay, you are supposed to identify and explain or compare issues, causes, patterns, outcomes, and connections between facts or events as well as their consequences or influences.

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The Guide to Thematic Analysis

• Introduction

Thematic analysis explained

What's unique about thematic analysis, different approaches to thematic analysis.

• The mini-guide to thematic analysis
• Advantages of Thematic Analysis
• Disadvantages of Thematic Analysis
• Thematic Analysis Examples
• How to Do Thematic Analysis
• Thematic Coding
• Collaborative Thematic Analysis
• Thematic Analysis Software
• Thematic Analysis in Mixed Methods Approach
• Abductive Thematic Analysis
• Deductive Thematic Analysis
• Inductive Thematic Analysis
• Reflexive Thematic Analysis
• Thematic Analysis in Observations
• Thematic Analysis in Surveys
• Thematic Analysis for Interviews
• Thematic Analysis for Focus Groups
• Thematic Analysis for Case Studies
• Thematic Analysis of Secondary Data
• Thematic Analysis Literature Review
• Thematic Analysis vs. Phenomenology
• Thematic vs. Content Analysis
• Thematic Analysis vs. Grounded Theory
• Thematic Analysis vs. Narrative Analysis
• Thematic Analysis vs. Discourse Analysis
• Thematic Analysis vs. Framework Analysis
• Thematic Analysis in Social Work
• Thematic Analysis in Psychology
• Thematic Analysis in Educational Research
• Thematic Analysis in UX Research
• How to Present Thematic Analysis Results
• Increasing Rigor in Thematic Analysis
• Peer Review in Thematic Analysis

What is Thematic Analysis?

Thematic analysis is a central method in qualitative research used to identify patterns within data. Under a thematic analysis paradigm, researchers analyze qualitative data to organize and describe their dataset in detail through themes and motifs that emerge from the data itself. This approach is flexible and can be applied across a wide range of social science fields, accommodating various datasets and research questions . The technique does not subscribe to a rigid framework, allowing for adaptation to the specific needs of the study. Thematic analysis is valuable for its ability to unearth nuanced insights into complex data sets, providing a structured yet adaptable tool for qualitative analysis.

This guide will outline the advantages and disadvantages of thematic analysis, discuss its different types and their processes, and showcase its application in diverse social science disciplines.

Thematic analysis approaches are among the most flexible methods accessible to both expert and novice researchers. Thematic analysis emphasizes the data itself, enabling researchers to derive significant insights directly from their collected information.

But what is it and what role does it play in analyzing qualitative data ? This section will cover the purpose of qualitative research , define qualitative data analysis, outline the thematic analysis process, and explain the necessity of thematic analysis for qualitative researchers. Through this, the significance and functionality of thematic analysis in the context of research will be clarified.

What is the purpose of qualitative research?

Qualitative research aims to understand human behavior, experiences, and the reasons that govern such behavior and experiences. Unlike quantitative research , which seeks to quantify data and generalize results from sample populations to larger populations, qualitative research focuses on understanding the depth and complexity of social phenomena, prioritizing contextualisation over generalization. This type of research is interested in the 'how' and 'why' questions, seeking to provide insights into problems, develop ideas or hypotheses for potential quantitative research, and uncover trends in thought and opinions.

Qualitative data collection methods include interviews , focus groups , and observational research , among others. Each method is chosen based on its ability to provide the most meaningful and relevant data for the research question at hand. The primary goal is to gain a detailed and nuanced understanding of people's attitudes, behaviors, and interactions in their natural settings.

What is qualitative data analysis?

Qualitative data analysis is the process of systematically examining non-numerical data (e.g., text, video, or audio) to understand meanings, patterns, and relationships. While quantitative data is more accessible through statistical analysis, qualitative data analysis transforms raw data into findings through a meticulous process of coding and identifying themes or patterns.

The analysis begins with data collection, followed by reading and re-reading the data to gain a deep familiarity with its content. Researchers then proceed to data coding by applying tags or labels that categorize segments of the data into meaningful groups for further analysis. These codes are refined and grouped into themes that capture the essence of the entire data set. A theme is a pattern within the data that represents a significant aspect of the research question or provides insight into the dataset.

Qualitative data analysis is iterative, requiring researchers to move back and forth between the dataset and the emerging analysis to ensure that the themes accurately represent the data. This approach allows for the identification of subtleties and complexities within the data that might not be apparent on the surface. The process is critical for developing a comprehensive understanding of the context, motivations, and experiences of research subjects.

Qualitative data analysis refers to a whole host of analytical approaches such as narrative analysis , discourse analysis , and qualitative content analysis . Each provides a systematic and rigorous approach for uncovering and interpreting the richness and diversity of data, and what is important is that the analytical approach fits with the research question . Through the analysis process, researchers can construct a coherent narrative that not only addresses their research questions but also adds depth and dimension to their findings.

What is the thematic analysis process?

The thematic analysis process involves several stages, each crucial for the thorough examination and interpretation of qualitative data. This process typically begins with the collection of data, which can be in the form of interviews, focus groups, observations, or textual and visual materials. As data collection begins, the thematic analysis process follows these steps:

• Familiarization with the data : Researchers immerse themselves in the data, reading and re-reading the material, and possibly taking initial notes. This stage is essential for understanding the breadth and depth of the content.
• Generating initial codes : Through a careful examination of the data, researchers identify specific elements that appear interesting and code them accordingly. Coding involves tagging segments of the data with labels that summarize or account for each piece of information. This process helps in organizing the data into manageable chunks for further analysis.
• Searching for themes : Codes are then reviewed and grouped together into potential themes. A theme captures something important about the data in relation to the research question and represents some level of patterned response or meaning within the data set.
• Reviewing themes : This step involves refining the themes to ensure they work in relation to the coded extracts and the entire data set. It may involve splitting, combining, or discarding themes.
• Defining and naming themes : Once a set of coherent themes has been established, each theme is clearly defined and named. This involves identifying the essence of what each theme is about and determining what aspect of the data each theme captures.
• Producing the report : The final step involves weaving together the analytical narrative and data extracts, and contextualizing the analysis in relation to existing literature and the research question. A typical thematic analysis report should present a coherent and logical story that convinces the reader that the chosen themes reflect the data and address the research question.

Why do qualitative researchers need thematic analysis?

Thematic analysis offers qualitative researchers a flexible yet systematic approach for examining data. This method is not tied to any specific theoretical framework , allowing researchers to apply it across a wide range of epistemologies and research questions. Here are several reasons why thematic analysis is indispensable for qualitative researchers:

• Versatility : It can be used with various data types, including interview transcripts , survey responses , and social media content, making it applicable to many research fields.
• Depth of insight : Thematic analysis allows researchers to delve into the complexities and nuances of their data, providing a rich, detailed, and complex account of their findings.
• Accessibility : The process is accessible to researchers at different levels of experience, from beginners to experts, due to its clear and systematic nature.
• Transparency : By providing a structured approach to data analysis, thematic analysis enhances the transparency of qualitative research. Researchers can clearly demonstrate how their findings are derived from the data, which is crucial for the credibility and trustworthiness of the research.
• Comprehensiveness : It enables researchers to examine large volumes of data in a manageable way, ensuring that potential insights are not overlooked.

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Turn to our powerful data analysis tools to deliver critical insights from your research. Download a free trial today.

Advantages with conducting thematic analysis center on its ease of use. In particular, thematic analysis stands out among other qualitative research methodologies for its flexibility, accessibility, and broad applicability. When compared to other qualitative methods such as discourse analysis, narrative analysis, and content analysis, thematic analysis offers distinct advantages and features that cater to a wide range of research needs and questions.

Discourse analysis

Discourse analysis focuses on the way language is used in texts and conversations to construct meanings and social realities. It pays close attention to the context in which language is used and how power relations and identities are constructed through discourse. In contrast, thematic analysis takes a broader view of the data beyond (but including) language and discourse. This makes thematic analysis more versatile and applicable to a broader variety of data types, not just textual or conversational data.

Narrative analysis

Narrative analysis looks into the storytelling aspects of data, exploring how individuals construct and convey their experiences and realities through narratives. This approach is particularly focused on the structure and function of stories within the data, examining how these narratives help individuals make sense of their world. Thematic analysis, by contrast, is less concerned with the form or structure of narratives and more focused on identifying and analyzing themes that cut across the data, regardless of how they are narrated.

Content analysis

Content analysis is a method that quantifies content in terms of predetermined categories and often involves counting the frequency of words, themes, or concepts within the data. While content analysis provides a systematic way to analyze textual data, it tends to focus more on surface-level aspects of the data and less interpretative analyses compared to thematic analysis. Thematic analysis goes beyond mere counting or categorization to interpret the underlying ideas, assumptions, and conceptualizations within the data.

Thematic analysis is a flexible method for qualitative research , accommodating various approaches based on the researcher's objectives, theoretical framework , and the nature of the data . Three notable approaches are inductive thematic analysis, deductive thematic analysis, and reflexive thematic analysis. Each approach has distinct characteristics and applications, tailored to specific research needs.

Inductive thematic analysis

Inductive thematic analysis is driven by the data itself, rather than being guided by pre-existing theories or researcher expectations. This bottom-up approach allows themes to emerge directly from the data, with coding and theme development rooted in the content of the dataset. Inductive analysis is particularly useful when exploring new or under-researched areas where the researcher aims to gain fresh insights without the constraints of existing theoretical frameworks.

Deductive thematic analysis

Deductive thematic analysis, in contrast, is a top-down approach where the researcher starts with pre-defined codes or theoretical concepts that guide the analysis. This method is applied when the research is framed by specific theories or when the study aims to examine particular aspects of the data. Deductive analysis ensures that the investigation remains closely aligned with the research questions or hypotheses that are based on the literature or theoretical considerations. This approach can provide a focused examination of the data, allowing for a targeted exploration of predefined themes.

Reflexive thematic analysis

Reflexive thematic analysis emphasizes the active role of the researcher in the analysis process. It involves continuous reflection on the way researchers' biases, assumptions, and backgrounds influence the interpretation of the data. Reflexive thematic analysis is not strictly inductive or deductive but is characterized by a constant dialogue between the researcher, the data, and the emerging analysis. This approach acknowledges the subjective nature of the analysis and seeks to make the research process as transparent as possible, allowing for a nuanced and in-depth understanding of the data.

The guide to thematic analysis

Thematic analysis is a flexible method for gathering key insights from qualitative data , and it merits a comprehensive discussion to cover all the important points that facilitate a rigorous analysis and transparent research inquiry . That's why we've written this guide to provide you with a foundational understanding of thematic analysis that you can apply to your qualitative research.

We've divided this guide into several sections, which we've outlined below. If you are new to thematic analysis or to qualitative research , we suggest reading these articles in order so you can get a sense of not only the process of conducting thematic analysis, but the reasoning behind this methodological approach. However, if you simply need a refresher on certain aspects of thematic analysis, feel free to navigate to the article that is most appropriate for you.

Introduction to thematic analysis

In this section, we'll explore the advantages and disadvantages of thematic analysis.

Thematic analysis basics

This section provides some basic information about thematic analysis through examples and some important aspects to keep in mind when applying thematic analysis to your research.

Types of thematic analysis

There are many kinds of thematic analysis to consider, so we'll look at each of the major types of thematic analysis in this section.

Thematic analysis with qualitative data collection

Qualitative data collection takes on various forms, so it will be important to understand how to apply thematic analysis to each of the major types of qualitative data.

Thematic analysis with other forms of qualitative analysis

What is the best analytical approach for your research? In this section, we'll compare thematic analysis to other analytic methods in qualitative research.

Research fields using thematic analysis

How is thematic analysis applied in various social science fields? We'll explore its use in four different research areas in this section.

Publishing thematic analysis research

After you analyze qualitative data, your job is to persuade your audience of its impact. We'll discuss this in the following articles.

From initial analysis to final report, turn to ATLAS.ti

Our tools are the solution for your qualitative analysis needs. See why with a free trial.

PY2106: Human Development Across the Lifespan Guide: Writing a Thematic Analysis

• Subject Basics
• Finding Resources
• Writing a Thematic Analysis
• Formatting & Referencing
• Psychology Guide
• Literature review guide This link opens in a new window

What is a thematic analysis?

A thematic analysis is used in qualitative research to focus on examining themes within a topic by identifying, analysing and reporting patterns (themes) within the research topic. It is similar to a literature review, which is a critical survey and assessment of the existing research on your particular topic.

The following links provide more information about the thematic analysis process.

• About Thematic Analysis
• Using thematic analysis in psychology

Thematic Analysis Process

Writing a literature review

You may also find these resources on writing literature reviews useful to help you write your analysis.

• Writing a Literature Review
• Literature Reviews - Synthesise

Writing a literature review (part 1)

Literature review books

Doing a literature review in health and social care: A practical guide

The Literature Review

The Literature Review is a concise step-by-step guide to conducting a literature search and writing up the literature review chapter in graduate dissertations and in professional doctorate theses. 

Succeeding with Your Literature Review

This step-by-step handbook provides comprehensive and practical guidance on the process of researching a range of relevant literature on a subject, as well as planning and writing a literature review.

An interactive approach to writing essays and research reports in psychology

This writing guide offers students an engaging, accessible introduction to the conventions of writing in the psychology discipline.

• << Previous: Finding Resources
• Next: Formatting & Referencing >>
• Last Updated: Apr 26, 2024 9:33 AM
• URL: https://libguides.jcu.edu.au/py2106

How to do thematic analysis

Last updated

8 February 2023

Reviewed by

Miroslav Damyanov

Short on time? Get an AI generated summary of this article instead

Uncovering themes in data requires a systematic approach. Thematic analysis organizes data so you can easily recognize the context.

• What is thematic analysis?

Thematic analysis is   a method for analyzing qualitative data that involves reading through a data set and looking for patterns to derive themes . The researcher's subjective experience plays a central role in finding meaning within the data.

Streamline your thematic analysis

Find patterns and themes across all your qualitative data when you analyze it in Dovetail

• What are the main approaches to thematic analysis?

Inductive thematic analysis approach

Inductive thematic analysis entails   deriving meaning and identifying themes from data with no preconceptions.  You analyze the data without any expected outcomes.

Deductive thematic analysis approach

In the deductive approach, you analyze data with a set of expected themes. Prior knowledge, research, or existing theory informs this approach.

Semantic thematic analysis approach

With the semantic approach, you ignore the underlying meaning of data. You take identifying themes at face value based on what is written or explicitly stated.

Latent thematic analysis approach

Unlike the semantic approach, the latent approach focuses on underlying meanings in data and looks at the reasons for semantic content. It involves an element of interpretation where you theorize meanings and don’t just take data at face value.

• When should thematic analysis be used?

Thematic analysis is beneficial when you’re working with large bodies of data. It allows you to divide and categorize huge quantities of data in a way that makes it far easier to digest.  

The following scenarios warrant the use of thematic analysis:

You’re new to qualitative analysis

You need to identify patterns in data

You want to involve participants in the process

Thematic analysis is particularly useful when you’re looking for subjective information such as experiences and opinions in surveys , interviews, conversations, or social media posts. 

• What are the advantages and disadvantages of thematic analysis?

Thematic analysis is a highly flexible approach to qualitative data analysis that you can modify to meet the needs of many studies. It enables you to generate new insights and concepts from data. 

Beginner researchers who are just learning how to analyze data will find thematic analysis very accessible. It’s easy for most people to grasp and can be relatively quick to learn.

The flexibility of thematic analysis can also be a disadvantage. It can feel intimidating to decide what’s important to emphasize, as there are many ways to interpret meaning from a data set.

• What is the step-by-step process for thematic analysis?

The basic thematic analysis process requires recognizing codes and themes within a data set. A code is a label assigned to a piece of data that you use to identify and summarize important concepts within a data set. A theme is a pattern that you identify within the data. Relevant steps may vary based on the approach and type of thematic analysis, but these are the general steps you’d take:

1. Familiarize yourself with the data(pre-coding work)

Before you can successfully work with data, you need to understand it. Get a feel for the data to see what general themes pop up. Transcribe audio files and observe any meanings and patterns across the data set. Read through the transcript, and jot down notes about potential codes to create. 

2. Create the initial codes (open code work)

Create a set of initial codes to represent the patterns and meanings in the data. Make a codebook to keep track of the codes. Read through the data again to identify interesting excerpts and apply the appropriate codes. You should use the same code to represent excerpts with the same meaning. 

3. Collate codes with supporting data (clustering of initial code)

Now it's time to group all excerpts associated with a particular code. If you’re doing this manually, cut out codes and put them together. Thematic analysis software will automatically collate them.

4. Group codes into themes (clustering of selective codes)

Once you’ve finalized the codes, you can sort them into potential themes. Themes reflect trends and patterns in data. You can combine some codes to create sub-themes.

5. Review, revise, and finalize the themes (final revision)

Now you’ve decided upon the initial themes, you can review and adjust them as needed. Each theme should be distinct, with enough data to support it. You can merge similar themes and remove those lacking sufficient supportive data. Begin formulating themes into a narrative. 

6. Write the report

The final step of telling the story of a set of data is writing the report. You should fully consider the themes to communicate the validity of your analysis.

A typical thematic analysis report contains the following:

An introduction

A methodology section

Results and findings

A conclusion

Your narrative must be coherent, and it should include vivid quotes that can back up points. It should also include an interpretive analysis and argument for your claims. In addition, consider reporting your findings in a flowchart or tree diagram, which can be independent of or part of your report.  

In conclusion, a thematic analysis is a method of analyzing qualitative data. By following the six steps, you will identify common themes from a large set of texts. This method can help you find rich and useful insights about people’s experiences, behaviors, and nuanced opinions.

• How to analyze qualitative data

Qualitative data analysis is the process of organizing, analyzing, and interpreting non-numerical and subjective data . The goal is to capture themes and patterns, answer questions, and identify the best actions to take based on that data. 

Researchers can use qualitative data to understand people’s thoughts, feelings, and attitudes. For example, qualitative researchers can help business owners draw reliable conclusions about customers’ opinions and discover areas that need improvement. 

In addition to thematic analysis, you can analyze qualitative data using the following:

Content analysis

Content analysis examines and counts the presence of certain words, subjects, and contexts in documents and communication artifacts, such as: 

Text in various formats

This method transforms qualitative input into quantitative data. You can do it manually or with electronic tools that recognize patterns to make connections between concepts.  

Free AI content analysis generator

Make sense of your research by automatically summarizing key takeaways through our free content analysis tool.

Narrative analysis

Narrative analysis interprets research participants' stories from testimonials, case studies, interviews, and other text or visual data. It provides valuable insights into the complexity of people's feelings, beliefs, and behaviors.

Discourse analysis

In discourse analysis , you analyze the underlying meaning of qualitative data in a particular context, including: 

Historical 

This approach allows us to study how people use language in text, audio, and video to unravel social issues, power dynamics, or inequalities. 

For example, you can look at how people communicate with their coworkers versus their bosses. Discourse analysis goes beyond the literal meaning of words to examine social reality.

Grounded theory analysis

In grounded theory analysis, you develop theories by examining real-world data. The process involves creating hypotheses and theories by systematically collecting and evaluating this data. While this approach is helpful for studying lesser-known phenomena, it might be overwhelming for a novice researcher. 

• Challenges with analyzing qualitative data

While qualitative data can answer questions that quantitative data can't, it still comes with challenges.

If done manually, qualitative data analysis is very time-consuming.

It can be hard to choose a method. 

Avoiding bias is difficult.

Human error affects accuracy and consistency.

To overcome these challenges, you should fine-tune your methods by using the appropriate tools in collaboration with teammates.

Learn more about thematic analysis software

What is thematic analysis in qualitative research.

Thematic analysis is a method of analyzing qualitative data. It is applied to texts, such as interviews or transcripts. The researcher closely examines the data to identify common patterns and themes.

Can thematic analysis be done manually?

You can do thematic analysis manually, but it is very time-consuming without the help of software.

What are the two types of thematic analysis?

The two main types of thematic analysis include codebook thematic analysis and reflexive thematic analysis.

Codebook thematic analysis uses predetermined codes and structured codebooks to analyze from a deductive perspective. You draw codes from a review of the data or an initial analysis to produce the codebooks.

Reflexive thematic analysis is more flexible and does not use a codebook. Researchers can change, remove, and add codes as they work through the data. 

What makes a good thematic analysis?

The goal of thematic analysis is more than simply summarizing data; it's about identifying important themes. Good thematic analysis interprets, makes sense of data, and explains it. It produces trustworthy and insightful findings that are easy to understand and apply. 

What are examples of themes in thematic analysis?

Grouping codes into themes summarize sections of data in a useful way to answer research questions and achieve objectives. A theme identifies an area of data and tells the reader something about it. A good theme can sit alone without requiring descriptive text beneath it.

For example, if you were analyzing data on wildlife, codes might be owls, hawks, and falcons. These codes might fall beneath the theme of birds of prey. If your data were about the latest trends for teenage girls, codes such as mini skirts, leggings, and distressed jeans would fall under fashion.  

Thematic analysis is straightforward and intuitive enough that most people have no trouble applying it.

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How to Write a Thematic Essay: Outline, Format, and Example

How to Write a Good Thematic Essay Guide

College enrollment is one of the most important moments in the life of many young people, but not all of them treat it really seriously. Many first-year students turn out to be unprepared for a tight studying schedule in their academic institution as well as a high workload. In fact, some of them even have no idea how to write a thematic essay for English, even though it is not the hardest assignment they can get there. Fortunately, if you have Internet access and a few minutes of free time, you can find out the fundamentals of writing this type of paper. You should have a keen eye for detail to note all the peculiarities of this academic assignment. We'll go deep down the question to sort things out and provide a complete picture of the issues involved.

What Is a Thematic Analysis Essay?

When a person faces a subject for the first time, the chances are high that they don't understand its essence. Hence, it seems justified to start the review with a thematic essay definition. Well, it represents a piece of writing that is spinning around a certain theme or question. An author reveals and develops the key topic in some literature, applying various literary techniques, for instance, personification, foreshadowing, comparison, etc. The main purpose of such a paper is to define and disclose the key subject addressed in the paperwork. The biggest challenge lies in the fact that you should find the most significant and illustrative option among many subsidiary ones.  

Every person has their interpretation and perception, so you must gather enough powerful evidence, including quotations, examples, and facts, to prove your statement. A well-tailored thematic analysis essay involves a sound central idea that is supported via literature techniques and arguments.

How to Write a Thematic Essay: Choosing a Topic

Now when you know the answer to the question, "What is a theme essay?", we can talk about proper ways of choosing a suitable topic. It is one of the crucial moments that define the further success of your paper. Don't get upset if your teacher provides you with one since you can save time and proceed to work on the assignment right away instead of searching for a suitable theme. Here are a few tips that may come in handy:

• brainstorm. Reflect on things you have discussed in class, with your friends or parents, maybe some of these talks have something to do with a book or another piece of literature;
• try freewriting;
• focus on social issues. Often, a thematic paper is connected with social challenges in various periods;
• reflect on your favorite literary works. Which one has affected your life perception for the most part? Analyze its subject and issues the author arose in their work;
• define your target audience and choose the most appealing topic for them;
• find the most suitable perspective that can become a turning point.

How to Write a Theme Analysis Essay

When it comes to writing a thematic essay, you should unveil the central idea of literature work in the first place. It will become your starting point. In general, your main task is to interpret this key subject with the help of powerful and relevant arguments. To simplify this process, you can follow the below-mentioned guideline on how to write a theme analysis paper that will be worth an A-grade.

Emphasize the Central Subject

When you pick up a suitable literature work, you should define the central subject. Reflect on the ideas the author tried to deliver and select a few that stand out from the rest in your opinion. You should read between the lines and determine the key literature techniques used to affect the target audience. The next step required to complete this stage is to identify the work's general significance.

Define Thematic Statement

If you have ever worked on essays, you know that a thesis statement is a key element of the paperwork. All your efforts will be directed towards the search for powerful arguments to support it. What is a thematic statement? It is a one-sentence claim that reveals your position on the key subject. Bear in mind that all other ideas provided should spin around this sentence, so you should not underestimate its importance. Each evidence you provide should somehow support your thesis statement. Otherwise, your paper will be considered incorrect.

Make Up a Catchy Thematic Essay Introduction

When you start working on the opening paragraph, you should do your best to make it appealing to your target audience. It should reveal the subject's significance and keep your readers' attention. Emphasize the key purpose of your paperwork and provide background information on the subject. The thesis statement should become the final point that gives a clue to the readers about the claim you are going to support.

Create Powerful Body Thematic Paragraphs

When the thematic essay introduction is over, you can work on your essay's central part. If your professor hasn't provided you with the volume requirements of your paper, you should write at least three body paragraphs. Each of them should develop research and provide an argument that supports the thesis statement. You should involve examples, quotations, facts from credible sources to convince your readers. Because you are working on the thematic essay, make sure each paragraph involves at least one literary technique. Double-check all the sources you use. Otherwise, some evidence may turn out to be fake or unsubstantiated, so all your efforts will be in vain.

Write a Strong Conclusion

The end of the essay is not less important than its beginning, so don't rush to relax when you are done with the body paragraphs. You should summarize the key points mentioned in the central part of your paperwork. You should create a brief review and once again support your thesis statement. It is crucial to check out that all questions have been answered. You can highlight the importance of such research and encourage your target audience to go deeper into the question.

Proofread Your Paper

When you finish the last sentence of your paper, put it aside for several hours and go about your day. Proofreading and editing are essential for getting a high-grade paper, so your mind shouldn't be blurred. You should check your essay for grammar and spelling mistakes and make sure all the sentences flow smoothly. If you notice that some phrases stand out like a black sheep, it is better to rewrite them or maybe add transitional sentences. Thus, your paper will look holistic, and you will provide your target audience with a pleasant reading experience.

Theme Analysis Essay Outline

If you cannot boast of a tremendous experience under the belt, it can be challenging to write a well-crafted essay and not miss anything. It is when a thematic essay outline can come to the rescue and guarantee a flawless writing process. The most common paper outline involves five paragraphs: introduction, three body paragraphs, and conclusion. Some students skip it believing that it is nothing but a waste of time. However, it is a foundation that helps logically organize your paper. What is the general structure of a thematic analysis essay? Let's find out. 

Introduction

• Attention grabber sentence.
• Background information on the theme.
• Brief yet clear explanation of your key subject.
• Thesis statement.

Body Paragraphs

• The key idea of the first paragraph.
• An argument to support the idea.
• Analysis and explanation of the argument.
• A statement that combines the first paragraph's idea with the thesis statement.
• Transitional sentence.
• The main idea of the second paragraph.
• A statement that links the second paragraph's idea to the thesis statement.
• The central idea of the third paragraph.
• A statement that binds the third paragraph's idea with the thesis statement.
• Restatement of the thesis statement.
• A synopsis of the main arguments is provided in the body paragraphs.
• Sentence highlighting the significance of the main statement within the context of mentioned arguments.

Thematic Essay Format 

When you are done with your paper, it is worth checking it out and making sure that you have utilized the required essay format. You might have known that the academic environment uses three main formatting styles. It is about Chicago, APA, and MLA. If your professor hasn't mentioned the demanded format, you should define it yourself based on the subject you are writing the paper for. You should necessarily cite all sources utilized in your paperwork and create a well-crafted reference list following the formatting demands. It is crucial to adhere to the same format throughout the text. Otherwise, your teacher may lower your grade even if it is created at a decent level.

Thematic Essay Example

If you are a visual learner, and it is important for you to see the ready-made paper with your own eyes to understand the principles of completing such an assignment, you can search for examples on the web .

• How it works

Thematic Analysis – A Guide with Examples

Published by Alvin Nicolas at August 16th, 2021 , Revised On August 29, 2023

Thematic analysis is one of the most important types of analysis used for qualitative data . When researchers have to analyse audio or video transcripts, they give preference to thematic analysis. A researcher needs to look keenly at the content to identify the context and the message conveyed by the speaker.

Moreover, with the help of this analysis, data can be simplified.  

Importance of Thematic Analysis

Thematic analysis has so many unique and dynamic features, some of which are given below:

Thematic analysis is used because:

• It is flexible.
• It is best for complex data sets.
• It is applied to qualitative data sets.
• It takes less complexity compared to other theories of analysis.

Intellectuals and researchers give preference to thematic analysis due to its effectiveness in the research.

How to Conduct a Thematic Analysis?

While doing any research , if your data and procedure are clear, it will be easier for your reader to understand how you concluded the results . This will add much clarity to your research.

Understand the Data

This is the first step of your thematic analysis. At this stage, you have to understand the data set. You need to read the entire data instead of reading the small portion. If you do not have the data in the textual form, you have to transcribe it.

Example: If you are visiting an adult dating website, you have to make a data corpus. You should read and re-read the data and consider several profiles. It will give you an idea of how adults represent themselves on dating sites. You may get the following results:

I am a tall, single(widowed), easy-going, honest, good listener with a good sense of humor. Being a handyperson, I keep busy working around the house, and I also like to follow my favourite hockey team on TV or spoil my two granddaughters when I get the chance!! Enjoy most music except Rap! I keep fit by jogging, walking, and bicycling (at least three times a week). I have travelled to many places and RVD the South-West U.S., but I would now like to find that special travel partner to do more travel to warm and interesting countries. I now feel it’s time to meet a nice, kind, honest woman who has some of the same interests as I do; to share the happy times, quiet times, and adventures together

I enjoy photography, lapidary & seeking collectibles in the form of classic movies & 33 1/3, 45 & 78 RPM recordings from the 1920s, ’30s & ’40s. I am retired & looking forward to travelling to Canada, the USA, the UK & Europe, China. I am unique since I do not judge a book by its cover. I accept people for who they are. I will not demand or request perfection from anyone until I am perfect, so I guess that means everyone is safe. My musical tastes range from Classical, big band era, early jazz, classic ’50s & 60’s rock & roll & country since its inception.

Development of Initial Coding:

At this stage, you have to do coding. It’s the essential step of your research . Here you have two options for coding. Either you can do the coding manually or take the help of any tool. A software named the NOVIC is considered the best tool for doing automatic coding.

For manual coding, you can follow the steps given below:

• Please write down the data in a proper format so that it can be easier to proceed.
• Use a highlighter to highlight all the essential points from data.
• Make as many points as possible.
• Take notes very carefully at this stage.
• Apply themes as much possible.
• Now check out the themes of the same pattern or concept.
• Turn all the same themes into the single one.

Example: For better understanding, the previously explained example of Step 1 is continued here. You can observe the coded profiles below:

Make Themes

At this stage, you have to make the themes. These themes should be categorised based on the codes. All the codes which have previously been generated should be turned into themes. Moreover, with the help of the codes, some themes and sub-themes can also be created. This process is usually done with the help of visuals so that a reader can take an in-depth look at first glance itself.

Extracted Data Review

Now you have to take an in-depth look at all the awarded themes again. You have to check whether all the given themes are organised properly or not. It would help if you were careful and focused because you have to note down the symmetry here. If you find that all the themes are not coherent, you can revise them. You can also reshape the data so that there will be symmetry between the themes and dataset here.

For better understanding, a mind-mapping example is given here:

Reviewing all the Themes Again

You need to review the themes after coding them. At this stage, you are allowed to play with your themes in a more detailed manner. You have to convert the bigger themes into smaller themes here. If you want to combine some similar themes into a single theme, then you can do it. This step involves two steps for better fragmentation. 

You need to observe the coded data separately so that you can have a precise view. If you find that the themes which are given are following the dataset, it’s okay. Otherwise, you may have to rearrange the data again to coherence in the coded data.

Corpus Data

Here you have to take into consideration all the corpus data again. It would help if you found how themes are arranged here. It would help if you used the visuals to check out the relationship between them. Suppose all the things are not done accordingly, so you should check out the previous steps for a refined process. Otherwise, you can move to the next step. However, make sure that all the themes are satisfactory and you are not confused.

When all the two steps are completed, you need to make a more précised mind map. An example following the previous cases has been given below:

Define all the Themes here

Now you have to define all the themes which you have given to your data set. You can recheck them carefully if you feel that some of them can fit into one concept, you can keep them, and eliminate the other irrelevant themes. Because it should be precise and clear, there should not be any ambiguity. Now you have to think about the main idea and check out that all the given themes are parallel to your main idea or not. This can change the concept for you.

The given names should be so that it can give any reader a clear idea about your findings. However, it should not oppose your thematic analysis; rather, everything should be organised accurately.

Does your Research Methodology Have the Following?

• Great Research/Sources
• Perfect Language
• Accurate Sources

If not, we can help. Our panel of experts makes sure to keep the 3 pillars of Research Methodology strong.

Also, read about discourse analysis , content analysis and survey conducting . we have provided comprehensive guides.

Make a Report

You need to make the final report of all the findings you have done at this stage. You should include the dataset, findings, and every aspect of your analysis in it.

While making the final report , do not forget to consider your audience. For instance, you are writing for the Newsletter, Journal, Public awareness, etc., your report should be according to your audience. It should be concise and have some logic; it should not be repetitive. You can use the references of other relevant sources as evidence to support your discussion.  

Frequently Asked Questions

What is meant by thematic analysis.

Thematic Analysis is a qualitative research method that involves identifying, analyzing, and interpreting recurring themes or patterns in data. It aims to uncover underlying meanings, ideas, and concepts within the dataset, providing insights into participants’ perspectives and experiences.

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• How It Works

Theme Definition

What is theme? Here’s a quick and simple definition:

A theme is a universal idea, lesson, or message explored throughout a work of literature. One key characteristic of literary themes is their universality, which is to say that themes are ideas that not only apply to the specific characters and events of a book or play, but also express broader truths about human experience that readers can apply to their own lives. For instance, John Steinbeck's The Grapes of Wrath (about a family of tenant farmers who are displaced from their land in Oklahoma) is a book whose themes might be said to include the inhumanity of capitalism, as well as the vitality and necessity of family and friendship.

Some additional key details about theme:

• All works of literature have themes. The same work can have multiple themes, and many different works explore the same or similar themes.
• Themes are sometimes divided into thematic concepts and thematic statements . A work's thematic concept is the broader topic it touches upon (love, forgiveness, pain, etc.) while its thematic statement is what the work says about that topic. For example, the thematic concept of a romance novel might be love, and, depending on what happens in the story, its thematic statement might be that "Love is blind," or that "You can't buy love . "
• Themes are almost never stated explicitly. Oftentimes you can identify a work's themes by looking for a repeating symbol , motif , or phrase that appears again and again throughout a story, since it often signals a recurring concept or idea.

Theme Pronunciation

Here's how to pronounce theme: theem

Identifying Themes

Every work of literature—whether it's an essay, a novel, a poem, or something else—has at least one theme. Therefore, when analyzing a given work, it's always possible to discuss what the work is "about" on two separate levels: the more concrete level of the plot (i.e., what literally happens in the work), as well as the more abstract level of the theme (i.e., the concepts that the work deals with). Understanding the themes of a work is vital to understanding the work's significance—which is why, for example, every LitCharts Literature Guide uses a specific set of themes to help analyze the text.

Although some writers set out to explore certain themes in their work before they've even begun writing, many writers begin to write without a preconceived idea of the themes they want to explore—they simply allow the themes to emerge naturally through the writing process. But even when writers do set out to investigate a particular theme, they usually don't identify that theme explicitly in the work itself. Instead, each reader must come to their own conclusions about what themes are at play in a given work, and each reader will likely come away with a unique thematic interpretation or understanding of the work.

Symbol, Motif, and Leitwortstil

Writers often use three literary devices in particular—known as symbol , motif , and leitwortstil —to emphasize or hint at a work's underlying themes. Spotting these elements at work in a text can help you know where to look for its main themes.

• Near the beginning of Romeo and Juliet , Benvolio promises to make Romeo feel better about Rosaline's rejection of him by introducing him to more beautiful women, saying "Compare [Rosaline's] face with some that I shall show….and I will make thee think thy swan a crow." Here, the swan is a symbol for how Rosaline appears to the adoring Romeo, while the crow is a symbol for how she will soon appear to him, after he has seen other, more beautiful women.
• Symbols might occur once or twice in a book or play to represent an emotion, and in that case aren't necessarily related to a theme. However, if you start to see clusters of similar symbols appearing in a story, this may mean that the symbols are part of an overarching motif, in which case they very likely are related to a theme.
• For example, Shakespeare uses the motif of "dark vs. light" in Romeo and Juliet to emphasize one of the play's main themes: the contradictory nature of love. To develop this theme, Shakespeare describes the experience of love by pairing contradictory, opposite symbols next to each other throughout the play: not only crows and swans, but also night and day, moon and sun. These paired symbols all fall into the overall pattern of "dark vs. light," and that overall pattern is called a motif.
• A famous example is Kurt Vonnegut's repetition of the phrase "So it goes" throughout his novel Slaughterhouse Five , a novel which centers around the events of World War II. Vonnegut's narrator repeats the phrase each time he recounts a tragic story from the war, an effective demonstration of how the horrors of war have become normalized for the narrator. The constant repetition of the phrase emphasizes the novel's primary themes: the death and destruction of war, and the futility of trying to prevent or escape such destruction, and both of those things coupled with the author's skepticism that any of the destruction is necessary and that war-time tragedies "can't be helped."

Symbol, motif and leitwortstil are simply techniques that authors use to emphasize themes, and should not be confused with the actual thematic content at which they hint. That said, spotting these tools and patterns can give you valuable clues as to what might be the underlying themes of a work.

Thematic Concepts vs. Thematic Statements

A work's thematic concept is the broader topic it touches upon—for instance:

• Forgiveness

while its thematic statement is the particular argument the writer makes about that topic through his or her work, such as:

• Human judgement is imperfect.
• Love cannot be bought.
• Getting revenge on someone else will not fix your problems.
• Learning to forgive is part of becoming an adult.

Should You Use Thematic Concepts or Thematic Statements?

Some people argue that when describing a theme in a work that simply writing a thematic concept is insufficient, and that instead the theme must be described in a full sentence as a thematic statement. Other people argue that a thematic statement, being a single sentence, usually creates an artificially simplistic description of a theme in a work and is therefore can actually be more misleading than helpful. There isn't really a right answer in this debate.

In our LitCharts literature study guides , we usually identify themes in headings as thematic concepts, and then explain the theme more fully in a few paragraphs. We find thematic statements limiting in fully exploring or explaining a the theme, and so we don't use them. Please note that this doesn't mean we only rely on thematic concepts—we spend paragraphs explaining a theme after we first identify a thematic concept. If you are asked to describe a theme in a text, you probably should usually try to at least develop a thematic statement about the text if you're not given the time or space to describe it more fully. For example, a statement that a book is about "the senselessness of violence" is a lot stronger and more compelling than just saying that the book is about "violence."

Identifying Thematic Statements

One way to try to to identify or describe the thematic statement within a particular work is to think through the following aspects of the text:

• Plot: What are the main plot elements in the work, including the arc of the story, setting, and characters. What are the most important moments in the story? How does it end? How is the central conflict resolved?
• Protagonist: Who is the main character, and what happens to him or her? How does he or she develop as a person over the course of the story?
• Prominent symbols and motifs: Are there any motifs or symbols that are featured prominently in the work—for example, in the title, or recurring at important moments in the story—that might mirror some of the main themes?

After you've thought through these different parts of the text, consider what their answers might tell you about the thematic statement the text might be trying to make about any given thematic concept. The checklist above shouldn't be thought of as a precise formula for theme-finding, but rather as a set of guidelines, which will help you ask the right questions and arrive at an interesting thematic interpretation.

Theme Examples

The following examples not only illustrate how themes develop over the course of a work of literature, but they also demonstrate how paying careful attention to detail as you read will enable you to come to more compelling conclusions about those themes.

Themes in F. Scott Fitzgerald's The Great Gatsby

Fitzgerald explores many themes in The Great Gatsby , among them the corruption of the American Dream .

• The story's narrator is Minnesota-born Nick Caraway, a New York bonds salesman. Nick befriends Jay Gatsby, the protagonist, who is a wealthy man who throws extravagant parties at his mansion.
• The central conflict of the novel is Gatsby's pursuit of Daisy, whom he met and fell in love with as a young man, but parted from during World War I.
• He makes a fortune illegally by bootlegging alcohol, to become the sort of wealthy man he believes Daisy is attracted to, then buys a house near her home, where she lives with her husband.
• While he does manage to re-enter Daisy's life, she ultimately abandons him and he dies as a result of her reckless, selfish behavior.
• Gatsby's house is on the water, and he stares longingly across the water at a green light that hangs at the edge of a dock at Daisy's house which sits across a the bay. The symbol of the light appears multiple times in the novel—during the early stages of Gatsby's longing for Daisy, during his pursuit of her, and after he dies without winning her love. It symbolizes both his longing for daisy and the distance between them (the distance of space and time) that he believes (incorrectly) that he can bridge. 
• In addition to the green light, the color green appears regularly in the novel. This motif of green broadens and shapes the symbolism of the green light and also influences the novel's themes. While green always remains associated with Gatsby's yearning for Daisy and the past, and also his ambitious striving to regain Daisy, it also through the motif of repeated green becomes associated with money, hypocrisy, and destruction. Gatsby's yearning for Daisy, which is idealistic in some ways, also becomes clearly corrupt in others, which more generally impacts what the novel is saying about dreams more generally and the American Dream in particular. 

Gatsby pursues the American Dream, driven by the idea that hard work can lead anyone from poverty to wealth, and he does so for a single reason: he's in love with Daisy. However, he pursues the dream dishonestly, making a fortune by illegal means, and ultimately fails to achieve his goal of winning Daisy's heart. Furthermore, when he actually gets close to winning Daisy's heart, she brings about his downfall. Through the story of Gatsby and Daisy, Fitzgerald expresses the point of view that the American Dream carries at its core an inherent corruption. You can read more about the theme of The American Dream in The Great Gatsby here .

Themes in Chinua Achebe's Things Fall Apart

In Things Fall Apart , Chinua Achebe explores the theme of the dangers of rigidly following tradition .

• Okonkwo is obsessed with embodying the masculine ideals of traditional Igbo warrior culture.
• Okonkwo's dedication to his clan's traditions is so extreme that it even alienates members of his own family, one of whom joins the Christians.
• The central conflict: Okonkwo's community adapts to colonization in order to survive, becoming less warlike and allowing the minor injustices that the colonists inflict upon them to go unchallenged. Okonkwo, however, refuses to adapt.
• At the end of the novel, Okonkwo impulsively kills a Christian out of anger. Recognizing that his community does not support his crime, Okonkwo kills himself in despair.
• Clanswomen who give birth to twins abandon the babies in the forest to die, according to traditional beliefs that twins are evil.
• Okonkwo kills his beloved adopted son, a prisoner of war, according to the clan's traditions.
• Okonkwo sacrifices a goat in repentence, after severely beating his wife during the clan's holy week.

Through the tragic story of Okonkwo, Achebe is clearly dealing with the theme of tradition, but a close examination of the text reveals that he's also making a clear thematic statement that following traditions too rigidly leads people to the greatest sacrifice of all: that of personal agency . You can read more about this theme in Things Fall Apart   here .

Themes in Robert Frost's The Road Not Taken

Poem's have themes just as plot-driven narratives do. One theme that Robert Frost explores in this famous poem,  The Road Not Taken ,  is the illusory nature of free will .

• The poem's speaker stands at a fork in the road, in a "yellow wood."
• He (or she) looks down one path as far as possible, then takes the other, which seems less worn.
• The speaker then admits that the paths are about equally worn—there's really no way to tell the difference—and that a layer of leaves covers both of the paths, indicating that neither has been traveled recently.
• After taking the second path, the speaker finds comfort in the idea of taking the first path sometime in the future, but acknowledges that he or she is unlikely to ever return to that particular fork in the woods.
• The speaker imagines how, "with a sigh" she will tell someone in the future, "I took the road less travelled—and that has made all the difference."
• By wryly predicting his or her own need to romanticize, and retroactively justify, the chosen path, the speaker injects the poem with an unmistakeable hint of irony .
• The speaker's journey is a symbol for life, and the two paths symbolize different life paths, with the road "less-travelled" representing the path of an individualist or lone-wolf. The fork where the two roads diverge represents an important life choice. The road "not taken" represents the life path that the speaker would have pursued had he or she had made different choices.

Frost's speaker has reached a fork in the road, which—according to the symbolic language of the poem—means that he or she must make an important life decision. However, the speaker doesn't really know anything about the choice at hand: the paths appear to be the same from the speaker's vantage point, and there's no way he or she can know where the path will lead in the long term. By showing that the only truly informed choice the speaker makes is how he or she explains their decision after they have already made it , Frost suggests that although we pretend to make our own choices, our lives are actually governed by chance.

What's the Function of Theme in Literature?

Themes are a huge part of what readers ultimately take away from a work of literature when they're done reading it. They're the universal lessons and ideas that we draw from our experiences of works of art: in other words, they're part of the whole reason anyone would want to pick up a book in the first place!

It would be difficult to write any sort of narrative that did not include any kind of theme. The narrative itself would have to be almost completely incoherent in order to seem theme-less, and even then readers would discern a theme about incoherence and meaninglessness. So themes are in that sense an intrinsic part of nearly all writing. At the same time, the themes that a writer is interested in exploring will significantly impact nearly all aspects of how a writer chooses to write a text. Some writers might know the themes they want to explore from the beginning of their writing process, and proceed from there. Others might have only a glimmer of an idea, or have new ideas as they write, and so the themes they address might shift and change as they write. In either case, though, the writer's ideas about his or her themes will influence how they write. 

One additional key detail about themes and how they work is that the process of identifying and interpreting them is often very personal and subjective. The subjective experience that readers bring to interpreting a work's themes is part of what makes literature so powerful: reading a book isn't simply a one-directional experience, in which the writer imparts their thoughts on life to the reader, already distilled into clear thematic statements. Rather, the process of reading and interpreting a work to discover its themes is an exchange in which readers parse the text to tease out the themes they find most relevant to their personal experience and interests.

Other Helpful Theme Resources

• The Wikipedia Page on Theme: An in-depth explanation of theme that also breaks down the difference between thematic concepts and thematic statements.
• The Dictionary Definition of Theme: A basic definition and etymology of the term.
• In this instructional video , a teacher explains her process for helping students identify themes.

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• Practical thematic...

Practical thematic analysis: a guide for multidisciplinary health services research teams engaging in qualitative analysis

• Related content
• Peer review
• on behalf of the Coproduction Laboratory
• 1 Dartmouth Health, Lebanon, NH, USA
• 2 Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth College, Lebanon, NH, USA
• 3 Center for Primary Care and Public Health (Unisanté), Lausanne, Switzerland
• 4 Jönköping Academy for Improvement of Health and Welfare, School of Health and Welfare, Jönköping University, Jönköping, Sweden
• 5 Highland Park, NJ, USA
• 6 Division of Public Health Sciences, Department of Surgery, Washington University School of Medicine, St Louis, MO, USA
• Correspondence to: C H Saunders catherine.hylas.saunders{at}dartmouth.edu
• Accepted 26 April 2023

Qualitative research methods explore and provide deep contextual understanding of real world issues, including people’s beliefs, perspectives, and experiences. Whether through analysis of interviews, focus groups, structured observation, or multimedia data, qualitative methods offer unique insights in applied health services research that other approaches cannot deliver. However, many clinicians and researchers hesitate to use these methods, or might not use them effectively, which can leave relevant areas of inquiry inadequately explored. Thematic analysis is one of the most common and flexible methods to examine qualitative data collected in health services research. This article offers practical thematic analysis as a step-by-step approach to qualitative analysis for health services researchers, with a focus on accessibility for patients, care partners, clinicians, and others new to thematic analysis. Along with detailed instructions covering three steps of reading, coding, and theming, the article includes additional novel and practical guidance on how to draft effective codes, conduct a thematic analysis session, and develop meaningful themes. This approach aims to improve consistency and rigor in thematic analysis, while also making this method more accessible for multidisciplinary research teams.

Through qualitative methods, researchers can provide deep contextual understanding of real world issues, and generate new knowledge to inform hypotheses, theories, research, and clinical care. Approaches to data collection are varied, including interviews, focus groups, structured observation, and analysis of multimedia data, with qualitative research questions aimed at understanding the how and why of human experience. 1 2 Qualitative methods produce unique insights in applied health services research that other approaches cannot deliver. In particular, researchers acknowledge that thematic analysis is a flexible and powerful method of systematically generating robust qualitative research findings by identifying, analysing, and reporting patterns (themes) within data. 3 4 5 6 Although qualitative methods are increasingly valued for answering clinical research questions, many researchers are unsure how to apply them or consider them too time consuming to be useful in responding to practical challenges 7 or pressing situations such as public health emergencies. 8 Consequently, researchers might hesitate to use them, or use them improperly. 9 10 11

Although much has been written about how to perform thematic analysis, practical guidance for non-specialists is sparse. 3 5 6 12 13 In the multidisciplinary field of health services research, qualitative data analysis can confound experienced researchers and novices alike, which can stoke concerns about rigor, particularly for those more familiar with quantitative approaches. 14 Since qualitative methods are an area of specialisation, support from experts is beneficial. However, because non-specialist perspectives can enhance data interpretation and enrich findings, there is a case for making thematic analysis easier, more rapid, and more efficient, 8 particularly for patients, care partners, clinicians, and other stakeholders. A practical guide to thematic analysis might encourage those on the ground to use these methods in their work, unearthing insights that would otherwise remain undiscovered.

Given the need for more accessible qualitative analysis approaches, we present a simple, rigorous, and efficient three step guide for practical thematic analysis. We include new guidance on the mechanics of thematic analysis, including developing codes, constructing meaningful themes, and hosting a thematic analysis session. We also discuss common pitfalls in thematic analysis and how to avoid them.

Summary points

Qualitative methods are increasingly valued in applied health services research, but multidisciplinary research teams often lack accessible step-by-step guidance and might struggle to use these approaches

A newly developed approach, practical thematic analysis, uses three simple steps: reading, coding, and theming

Based on Braun and Clarke’s reflexive thematic analysis, our streamlined yet rigorous approach is designed for multidisciplinary health services research teams, including patients, care partners, and clinicians

This article also provides companion materials including a slide presentation for teaching practical thematic analysis to research teams, a sample thematic analysis session agenda, a theme coproduction template for use during the session, and guidance on using standardised reporting criteria for qualitative research

In their seminal work, Braun and Clarke developed a six phase approach to reflexive thematic analysis. 4 12 We built on their method to develop practical thematic analysis ( box 1 , fig 1 ), which is a simplified and instructive approach that retains the substantive elements of their six phases. Braun and Clarke’s phase 1 (familiarising yourself with the dataset) is represented in our first step of reading. Phase 2 (coding) remains as our second step of coding. Phases 3 (generating initial themes), 4 (developing and reviewing themes), and 5 (refining, defining, and naming themes) are represented in our third step of theming. Phase 6 (writing up) also occurs during this third step of theming, but after a thematic analysis session. 4 12

Key features and applications of practical thematic analysis

Step 1: reading.

All manuscript authors read the data

All manuscript authors write summary memos

Step 2: Coding

Coders perform both data management and early data analysis

Codes are complete thoughts or sentences, not categories

Step 3: Theming

Researchers host a thematic analysis session and share different perspectives

Themes are complete thoughts or sentences, not categories

Applications

For use by practicing clinicians, patients and care partners, students, interdisciplinary teams, and those new to qualitative research

When important insights from healthcare professionals are inaccessible because they do not have qualitative methods training

When time and resources are limited

Steps in practical thematic analysis

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We present linear steps, but as qualitative research is usually iterative, so too is thematic analysis. 15 Qualitative researchers circle back to earlier work to check whether their interpretations still make sense in the light of additional insights, adapting as necessary. While we focus here on the practical application of thematic analysis in health services research, we recognise our approach exists in the context of the broader literature on thematic analysis and the theoretical underpinnings of qualitative methods as a whole. For a more detailed discussion of these theoretical points, as well as other methods widely used in health services research, we recommend reviewing the sources outlined in supplemental material 1. A strong and nuanced understanding of the context and underlying principles of thematic analysis will allow for higher quality research. 16

Practical thematic analysis is a highly flexible approach that can draw out valuable findings and generate new hypotheses, including in cases with a lack of previous research to build on. The approach can also be used with a variety of data, such as transcripts from interviews or focus groups, patient encounter transcripts, professional publications, observational field notes, and online activity logs. Importantly, successful practical thematic analysis is predicated on having high quality data collected with rigorous methods. We do not describe qualitative research design or data collection here. 11 17

In supplemental material 1, we summarise the foundational methods, concepts, and terminology in qualitative research. Along with our guide below, we include a companion slide presentation for teaching practical thematic analysis to research teams in supplemental material 2. We provide a theme coproduction template for teams to use during thematic analysis sessions in supplemental material 3. Our method aligns with the major qualitative reporting frameworks, including the Consolidated Criteria for Reporting Qualitative Research (COREQ). 18 We indicate the corresponding step in practical thematic analysis for each COREQ item in supplemental material 4.

Familiarisation and memoing

We encourage all manuscript authors to review the full dataset (eg, interview transcripts) to familiarise themselves with it. This task is most critical for those who will later be engaged in the coding and theming steps. Although time consuming, it is the best way to involve team members in the intellectual work of data interpretation, so that they can contribute to the analysis and contextualise the results. If this task is not feasible given time limitations or large quantities of data, the data can be divided across team members. In this case, each piece of data should be read by at least two individuals who ideally represent different professional roles or perspectives.

We recommend that researchers reflect on the data and independently write memos, defined as brief notes on thoughts and questions that arise during reading, and a summary of their impressions of the dataset. 2 19 Memoing is an opportunity to gain insights from varying perspectives, particularly from patients, care partners, clinicians, and others. It also gives researchers the opportunity to begin to scope which elements of and concepts in the dataset are relevant to the research question.

Data saturation

The concept of data saturation ( box 2 ) is a foundation of qualitative research. It is defined as the point in analysis at which new data tend to be redundant of data already collected. 21 Qualitative researchers are expected to report their approach to data saturation. 18 Because thematic analysis is iterative, the team should discuss saturation throughout the entire process, beginning with data collection and continuing through all steps of the analysis. 22 During step 1 (reading), team members might discuss data saturation in the context of summary memos. Conversations about saturation continue during step 2 (coding), with confirmation that saturation has been achieved during step 3 (theming). As a rule of thumb, researchers can often achieve saturation in 9-17 interviews or 4-8 focus groups, but this will vary depending on the specific characteristics of the study. 23

Data saturation in context

Braun and Clarke discourage the use of data saturation to determine sample size (eg, number of interviews), because it assumes that there is an objective truth to be captured in the data (sometimes known as a positivist perspective). 20 Qualitative researchers often try to avoid positivist approaches, arguing that there is no one true way of seeing the world, and will instead aim to gather multiple perspectives. 5 Although this theoretical debate with qualitative methods is important, we recognise that a priori estimates of saturation are often needed, particularly for investigators newer to qualitative research who might want a more pragmatic and applied approach. In addition, saturation based, sample size estimation can be particularly helpful in grant proposals. However, researchers should still follow a priori sample size estimation with a discussion to confirm saturation has been achieved.

Definition of coding

We describe codes as labels for concepts in the data that are directly relevant to the study objective. Historically, the purpose of coding was to distil the large amount of data collected into conceptually similar buckets so that researchers could review it in aggregate and identify key themes. 5 24 We advocate for a more analytical approach than is typical with thematic analysis. With our method, coding is both the foundation for and the beginning of thematic analysis—that is, early data analysis, management, and reduction occur simultaneously rather than as different steps. This approach moves the team more efficiently towards being able to describe themes.

Building the coding team

Coders are the research team members who directly assign codes to the data, reading all material and systematically labelling relevant data with appropriate codes. Ideally, at least two researchers would code every discrete data document, such as one interview transcript. 25 If this task is not possible, individual coders can each code a subset of the data that is carefully selected for key characteristics (sometimes known as purposive selection). 26 When using this approach, we recommend that at least 10% of data be coded by two or more coders to ensure consistency in codebook application. We also recommend coding teams of no more than four to five people, for practical reasons concerning maintaining consistency.

Clinicians, patients, and care partners bring unique perspectives to coding and enrich the analytical process. 27 Therefore, we recommend choosing coders with a mix of relevant experiences so that they can challenge and contextualise each other’s interpretations based on their own perspectives and opinions ( box 3 ). We recommend including both coders who collected the data and those who are naive to it, if possible, given their different perspectives. We also recommend all coders review the summary memos from the reading step so that key concepts identified by those not involved in coding can be integrated into the analytical process. In practice, this review means coding the memos themselves and discussing them during the code development process. This approach ensures that the team considers a diversity of perspectives.

Coding teams in context

The recommendation to use multiple coders is a departure from Braun and Clarke. 28 29 When the views, experiences, and training of each coder (sometimes known as positionality) 30 are carefully considered, having multiple coders can enhance interpretation and enrich findings. When these perspectives are combined in a team setting, researchers can create shared meaning from the data. Along with the practical consideration of distributing the workload, 31 inclusion of these multiple perspectives increases the overall quality of the analysis by mitigating the impact of any one coder’s perspective. 30

Coding tools

Qualitative analysis software facilitates coding and managing large datasets but does not perform the analytical work. The researchers must perform the analysis themselves. Most programs support queries and collaborative coding by multiple users. 32 Important factors to consider when choosing software can include accessibility, cost, interoperability, the look and feel of code reports, and the ease of colour coding and merging codes. Coders can also use low tech solutions, including highlighters, word processors, or spreadsheets.

Drafting effective codes

To draft effective codes, we recommend that the coders review each document line by line. 33 As they progress, they can assign codes to segments of data representing passages of interest. 34 Coders can also assign multiple codes to the same passage. Consensus among coders on what constitutes a minimum or maximum amount of text for assigning a code is helpful. As a general rule, meaningful segments of text for coding are shorter than one paragraph, but longer than a few words. Coders should keep the study objective in mind when determining which data are relevant ( box 4 ).

Code types in context

Similar to Braun and Clarke’s approach, practical thematic analysis does not specify whether codes are based on what is evident from the data (sometimes known as semantic) or whether they are based on what can be inferred at a deeper level from the data (sometimes known as latent). 4 12 35 It also does not specify whether they are derived from the data (sometimes known as inductive) or determined ahead of time (sometimes known as deductive). 11 35 Instead, it should be noted that health services researchers conducting qualitative studies often adopt all these approaches to coding (sometimes known as hybrid analysis). 3

In practical thematic analysis, codes should be more descriptive than general categorical labels that simply group data with shared characteristics. At a minimum, codes should form a complete (or full) thought. An easy way to conceptualise full thought codes is as complete sentences with subjects and verbs ( table 1 ), although full sentence coding is not always necessary. With full thought codes, researchers think about the data more deeply and capture this insight in the codes. This coding facilitates the entire analytical process and is especially valuable when moving from codes to broader themes. Experienced qualitative researchers often intuitively use full thought or sentence codes, but this practice has not been explicitly articulated as a path to higher quality coding elsewhere in the literature. 6

Example transcript with codes used in practical thematic analysis 36

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Depending on the nature of the data, codes might either fall into flat categories or be arranged hierarchically. Flat categories are most common when the data deal with topics on the same conceptual level. In other words, one topic is not a subset of another topic. By contrast, hierarchical codes are more appropriate for concepts that naturally fall above or below each other. Hierarchical coding can also be a useful form of data management and might be necessary when working with a large or complex dataset. 5 Codes grouped into these categories can also make it easier to naturally transition into generating themes from the initial codes. 5 These decisions between flat versus hierarchical coding are part of the work of the coding team. In both cases, coders should ensure that their code structures are guided by their research questions.

Developing the codebook

A codebook is a shared document that lists code labels and comprehensive descriptions for each code, as well as examples observed within the data. Good code descriptions are precise and specific so that coders can consistently assign the same codes to relevant data or articulate why another coder would do so. Codebook development is iterative and involves input from the entire coding team. However, as those closest to the data, coders must resist undue influence, real or perceived, from other team members with conflicting opinions—it is important to mitigate the risk that more senior researchers, like principal investigators, exert undue influence on the coders’ perspectives.

In practical thematic analysis, coders begin codebook development by independently coding a small portion of the data, such as two to three transcripts or other units of analysis. Coders then individually produce their initial codebooks. This task will require them to reflect on, organise, and clarify codes. The coders then meet to reconcile the draft codebooks, which can often be difficult, as some coders tend to lump several concepts together while others will split them into more specific codes. Discussing disagreements and negotiating consensus are necessary parts of early data analysis. Once the codebook is relatively stable, we recommend soliciting input on the codes from all manuscript authors. Yet, coders must ultimately be empowered to finalise the details so that they are comfortable working with the codebook across a large quantity of data.

Assigning codes to the data

After developing the codebook, coders will use it to assign codes to the remaining data. While the codebook’s overall structure should remain constant, coders might continue to add codes corresponding to any new concepts observed in the data. If new codes are added, coders should review the data they have already coded and determine whether the new codes apply. Qualitative data analysis software can be useful for editing or merging codes.

We recommend that coders periodically compare their code occurrences ( box 5 ), with more frequent check-ins if substantial disagreements occur. In the event of large discrepancies in the codes assigned, coders should revise the codebook to ensure that code descriptions are sufficiently clear and comprehensive to support coding alignment going forward. Because coding is an iterative process, the team can adjust the codebook as needed. 5 28 29

Quantitative coding in context

Researchers should generally avoid reporting code counts in thematic analysis. However, counts can be a useful proxy in maintaining alignment between coders on key concepts. 26 In practice, therefore, researchers should make sure that all coders working on the same piece of data assign the same codes with a similar pattern and that their memoing and overall assessment of the data are aligned. 37 However, the frequency of a code alone is not an indicator of its importance. It is more important that coders agree on the most salient points in the data; reviewing and discussing summary memos can be helpful here. 5

Researchers might disagree on whether or not to calculate and report inter-rater reliability. We note that quantitative tests for agreement, such as kappa statistics or intraclass correlation coefficients, can be distracting and might not provide meaningful results in qualitative analyses. Similarly, Braun and Clarke argue that expecting perfect alignment on coding is inconsistent with the goal of co-constructing meaning. 28 29 Overall consensus on codes’ salience and contributions to themes is the most important factor.

Definition of themes

Themes are meta-constructs that rise above codes and unite the dataset ( box 6 , fig 2 ). They should be clearly evident, repeated throughout the dataset, and relevant to the research questions. 38 While codes are often explicit descriptions of the content in the dataset, themes are usually more conceptual and knit the codes together. 39 Some researchers hypothesise that theme development is loosely described in the literature because qualitative researchers simply intuit themes during the analytical process. 39 In practical thematic analysis, we offer a concrete process that should make developing meaningful themes straightforward.

Themes in context

According to Braun and Clarke, a theme “captures something important about the data in relation to the research question and represents some level of patterned response or meaning within the data set.” 4 Similarly, Braun and Clarke advise against themes as domain summaries. While different approaches can draw out themes from codes, the process begins by identifying patterns. 28 35 Like Braun and Clarke and others, we recommend that researchers consider the salience of certain themes, their prevalence in the dataset, and their keyness (ie, how relevant the themes are to the overarching research questions). 4 12 34

Use of themes in practical thematic analysis

Constructing meaningful themes

After coding all the data, each coder should independently reflect on the team’s summary memos (step 1), the codebook (step 2), and the coded data itself to develop draft themes (step 3). It can be illuminating for coders to review all excerpts associated with each code, so that they derive themes directly from the data. Researchers should remain focused on the research question during this step, so that themes have a clear relation with the overall project aim. Use of qualitative analysis software will make it easy to view each segment of data tagged with each code. Themes might neatly correspond to groups of codes. Or—more likely—they will unite codes and data in unexpected ways. A whiteboard or presentation slides might be helpful to organise, craft, and revise themes. We also provide a template for coproducing themes (supplemental material 3). As with codebook justification, team members will ideally produce individual drafts of the themes that they have identified in the data. They can then discuss these with the group and reach alignment or consensus on the final themes.

The team should ensure that all themes are salient, meaning that they are: supported by the data, relevant to the study objectives, and important. Similar to codes, themes are framed as complete thoughts or sentences, not categories. While codes and themes might appear to be similar to each other, the key distinction is that the themes represent a broader concept. Table 2 shows examples of codes and their corresponding themes from a previously published project that used practical thematic analysis. 36 Identifying three to four key themes that comprise a broader overarching theme is a useful approach. Themes can also have subthemes, if appropriate. 40 41 42 43 44

Example codes with themes in practical thematic analysis 36

Thematic analysis session

After each coder has independently produced draft themes, a carefully selected subset of the manuscript team meets for a thematic analysis session ( table 3 ). The purpose of this session is to discuss and reach alignment or consensus on the final themes. We recommend a session of three to five hours, either in-person or virtually.

Example agenda of thematic analysis session

The composition of the thematic analysis session team is important, as each person’s perspectives will shape the results. This group is usually a small subset of the broader research team, with three to seven individuals. We recommend that primary and senior authors work together to include people with diverse experiences related to the research topic. They should aim for a range of personalities and professional identities, particularly those of clinicians, trainees, patients, and care partners. At a minimum, all coders and primary and senior authors should participate in the thematic analysis session.

The session begins with each coder presenting their draft themes with supporting quotes from the data. 5 Through respectful and collaborative deliberation, the group will develop a shared set of final themes.

One team member facilitates the session. A firm, confident, and consistent facilitation style with good listening skills is critical. For practical reasons, this person is not usually one of the primary coders. Hierarchies in teams cannot be entirely flattened, but acknowledging them and appointing an external facilitator can reduce their impact. The facilitator can ensure that all voices are heard. For example, they might ask for perspectives from patient partners or more junior researchers, and follow up on comments from senior researchers to say, “We have heard your perspective and it is important; we want to make sure all perspectives in the room are equally considered.” Or, “I hear [senior person] is offering [x] idea, I’d like to hear other perspectives in the room.” The role of the facilitator is critical in the thematic analysis session. The facilitator might also privately discuss with more senior researchers, such as principal investigators and senior authors, the importance of being aware of their influence over others and respecting and eliciting the perspectives of more junior researchers, such as patients, care partners, and students.

To our knowledge, this discrete thematic analysis session is a novel contribution of practical thematic analysis. It helps efficiently incorporate diverse perspectives using the session agenda and theme coproduction template (supplemental material 3) and makes the process of constructing themes transparent to the entire research team.

Writing the report

We recommend beginning the results narrative with a summary of all relevant themes emerging from the analysis, followed by a subheading for each theme. Each subsection begins with a brief description of the theme and is illustrated with relevant quotes, which are contextualised and explained. The write-up should not simply be a list, but should contain meaningful analysis and insight from the researchers, including descriptions of how different stakeholders might have experienced a particular situation differently or unexpectedly.

In addition to weaving quotes into the results narrative, quotes can be presented in a table. This strategy is a particularly helpful when submitting to clinical journals with tight word count limitations. Quote tables might also be effective in illustrating areas of agreement and disagreement across stakeholder groups, with columns representing different groups and rows representing each theme or subtheme. Quotes should include an anonymous label for each participant and any relevant characteristics, such as role or gender. The aim is to produce rich descriptions. 5 We recommend against repeating quotations across multiple themes in the report, so as to avoid confusion. The template for coproducing themes (supplemental material 3) allows documentation of quotes supporting each theme, which might also be useful during report writing.

Visual illustrations such as a thematic map or figure of the findings can help communicate themes efficiently. 4 36 42 44 If a figure is not possible, a simple list can suffice. 36 Both must clearly present the main themes with subthemes. Thematic figures can facilitate confirmation that the researchers’ interpretations reflect the study populations’ perspectives (sometimes known as member checking), because authors can invite discussions about the figure and descriptions of findings and supporting quotes. 46 This process can enhance the validity of the results. 46

In supplemental material 4, we provide additional guidance on reporting thematic analysis consistent with COREQ. 18 Commonly used in health services research, COREQ outlines a standardised list of items to be included in qualitative research reports ( box 7 ).

Reporting in context

We note that use of COREQ or any other reporting guidelines does not in itself produce high quality work and should not be used as a substitute for general methodological rigor. Rather, researchers must consider rigor throughout the entire research process. As the issue of how to conceptualise and achieve rigorous qualitative research continues to be debated, 47 48 we encourage researchers to explicitly discuss how they have looked at methodological rigor in their reports. Specifically, we point researchers to Braun and Clarke’s 2021 tool for evaluating thematic analysis manuscripts for publication (“Twenty questions to guide assessment of TA [thematic analysis] research quality”). 16

Avoiding common pitfalls

Awareness of common mistakes can help researchers avoid improper use of qualitative methods. Improper use can, for example, prevent researchers from developing meaningful themes and can risk drawing inappropriate conclusions from the data. Braun and Clarke also warn of poor quality in qualitative research, noting that “coherence and integrity of published research does not always hold.” 16

Weak themes

An important distinction between high and low quality themes is that high quality themes are descriptive and complete thoughts. As such, they often contain subjects and verbs, and can be expressed as full sentences ( table 2 ). Themes that are simply descriptive categories or topics could fail to impart meaningful knowledge beyond categorisation. 16 49 50

Researchers will often move from coding directly to writing up themes, without performing the work of theming or hosting a thematic analysis session. Skipping concerted theming often results in themes that look more like categories than unifying threads across the data.

Unfocused analysis

Because data collection for qualitative research is often semi-structured (eg, interviews, focus groups), not all data will be directly relevant to the research question at hand. To avoid unfocused analysis and a correspondingly unfocused manuscript, we recommend that all team members keep the research objective in front of them at every stage, from reading to coding to theming. During the thematic analysis session, we recommend that the research question be written on a whiteboard so that all team members can refer back to it, and so that the facilitator can ensure that conversations about themes occur in the context of this question. Consistently focusing on the research question can help to ensure that the final report directly answers it, as opposed to the many other interesting insights that might emerge during the qualitative research process. Such insights can be picked up in a secondary analysis if desired.

Inappropriate quantification

Presenting findings quantitatively (eg, “We found 18 instances of participants mentioning safety concerns about the vaccines”) is generally undesirable in practical thematic analysis reporting. 51 Descriptive terms are more appropriate (eg, “participants had substantial concerns about the vaccines,” or “several participants were concerned about this”). This descriptive presentation is critical because qualitative data might not be consistently elicited across participants, meaning that some individuals might share certain information while others do not, simply based on how conversations evolve. Additionally, qualitative research does not aim to draw inferences outside its specific sample. Emphasising numbers in thematic analysis can lead to readers incorrectly generalising the findings. Although peer reviewers unfamiliar with thematic analysis often request this type of quantification, practitioners of practical thematic analysis can confidently defend their decision to avoid it. If quantification is methodologically important, we recommend simultaneously conducting a survey or incorporating standardised interview techniques into the interview guide. 11

Neglecting group dynamics

Researchers should concertedly consider group dynamics in the research team. Particular attention should be paid to power relations and the personality of team members, which can include aspects such as who most often speaks, who defines concepts, and who resolves disagreements that might arise within the group. 52

The perspectives of patient and care partners are particularly important to cultivate. Ideally, patient partners are meaningfully embedded in studies from start to finish, not just for practical thematic analysis. 53 Meaningful engagement can build trust, which makes it easier for patient partners to ask questions, request clarification, and share their perspectives. Professional team members should actively encourage patient partners by emphasising that their expertise is critically important and valued. Noting when a patient partner might be best positioned to offer their perspective can be particularly powerful.

Insufficient time allocation

Researchers must allocate enough time to complete thematic analysis. Working with qualitative data takes time, especially because it is often not a linear process. As the strength of thematic analysis lies in its ability to make use of the rich details and complexities of the data, we recommend careful planning for the time required to read and code each document.

Estimating the necessary time can be challenging. For step 1 (reading), researchers can roughly calculate the time required based on the time needed to read and reflect on one piece of data. For step 2 (coding), the total amount of time needed can be extrapolated from the time needed to code one document during codebook development. We also recommend three to five hours for the thematic analysis session itself, although coders will need to independently develop their draft themes beforehand. Although the time required for practical thematic analysis is variable, teams should be able to estimate their own required effort with these guidelines.

Practical thematic analysis builds on the foundational work of Braun and Clarke. 4 16 We have reframed their six phase process into three condensed steps of reading, coding, and theming. While we have maintained important elements of Braun and Clarke’s reflexive thematic analysis, we believe that practical thematic analysis is conceptually simpler and easier to teach to less experienced researchers and non-researcher stakeholders. For teams with different levels of familiarity with qualitative methods, this approach presents a clear roadmap to the reading, coding, and theming of qualitative data. Our practical thematic analysis approach promotes efficient learning by doing—experiential learning. 12 29 Practical thematic analysis avoids the risk of relying on complex descriptions of methods and theory and places more emphasis on obtaining meaningful insights from those close to real world clinical environments. Although practical thematic analysis can be used to perform intensive theory based analyses, it lends itself more readily to accelerated, pragmatic approaches.

Strengths and limitations

Our approach is designed to smooth the qualitative analysis process and yield high quality themes. Yet, researchers should note that poorly performed analyses will still produce low quality results. Practical thematic analysis is a qualitative analytical approach; it does not look at study design, data collection, or other important elements of qualitative research. It also might not be the right choice for every qualitative research project. We recommend it for applied health services research questions, where diverse perspectives and simplicity might be valuable.

We also urge researchers to improve internal validity through triangulation methods, such as member checking (supplemental material 1). 46 Member checking could include soliciting input on high level themes, theme definitions, and quotations from participants. This approach might increase rigor.

Implications

We hope that by providing clear and simple instructions for practical thematic analysis, a broader range of researchers will be more inclined to use these methods. Increased transparency and familiarity with qualitative approaches can enhance researchers’ ability to both interpret qualitative studies and offer up new findings themselves. In addition, it can have usefulness in training and reporting. A major strength of this approach is to facilitate meaningful inclusion of patient and care partner perspectives, because their lived experiences can be particularly valuable in data interpretation and the resulting findings. 11 30 As clinicians are especially pressed for time, they might also appreciate a practical set of instructions that can be immediately used to leverage their insights and access to patients and clinical settings, and increase the impact of qualitative research through timely results. 8

Practical thematic analysis is a simplified approach to performing thematic analysis in health services research, a field where the experiences of patients, care partners, and clinicians are of inherent interest. We hope that it will be accessible to those individuals new to qualitative methods, including patients, care partners, clinicians, and other health services researchers. We intend to empower multidisciplinary research teams to explore unanswered questions and make new, important, and rigorous contributions to our understanding of important clinical and health systems research.

Acknowledgments

All members of the Coproduction Laboratory provided input that shaped this manuscript during laboratory meetings. We acknowledge advice from Elizabeth Carpenter-Song, an expert in qualitative methods.

Coproduction Laboratory group contributors: Stephanie C Acquilano ( http://orcid.org/0000-0002-1215-5531 ), Julie Doherty ( http://orcid.org/0000-0002-5279-6536 ), Rachel C Forcino ( http://orcid.org/0000-0001-9938-4830 ), Tina Foster ( http://orcid.org/0000-0001-6239-4031 ), Megan Holthoff, Christopher R Jacobs ( http://orcid.org/0000-0001-5324-8657 ), Lisa C Johnson ( http://orcid.org/0000-0001-7448-4931 ), Elaine T Kiriakopoulos, Kathryn Kirkland ( http://orcid.org/0000-0002-9851-926X ), Meredith A MacMartin ( http://orcid.org/0000-0002-6614-6091 ), Emily A Morgan, Eugene Nelson, Elizabeth O’Donnell, Brant Oliver ( http://orcid.org/0000-0002-7399-622X ), Danielle Schubbe ( http://orcid.org/0000-0002-9858-1805 ), Gabrielle Stevens ( http://orcid.org/0000-0001-9001-178X ), Rachael P Thomeer ( http://orcid.org/0000-0002-5974-3840 ).

Contributors: Practical thematic analysis, an approach designed for multidisciplinary health services teams new to qualitative research, was based on CHS’s experiences teaching thematic analysis to clinical teams and students. We have drawn heavily from qualitative methods literature. CHS is the guarantor of the article. CHS, AS, CvP, AMK, JRK, and JAP contributed to drafting the manuscript. AS, JG, CMM, JAP, and RWY provided feedback on their experiences using practical thematic analysis. CvP, LCL, SLB, AVC, GE, and JKL advised on qualitative methods in health services research, given extensive experience. All authors meaningfully edited the manuscript content, including AVC and RKS. The corresponding author attests that all listed authors meet authorship criteria and that no others meeting the criteria have been omitted.

Funding: This manuscript did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Competing interests: All authors have completed the ICMJE uniform disclosure form at https://www.icmje.org/disclosure-of-interest/ and declare: no support from any organisation for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

Provenance and peer review: Not commissioned; externally peer reviewed.

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• ↵ Yen RW, Schubbe D, Walling L, et al. Patient engagement in the What Matters Most trial: experiences and future implications for research. Poster presented at International Shared Decision Making conference, Quebec City, Canada. July 2019.
• ↵ Got questions about Thematic Analysis? We have prepared some answers to common ones. https://www.thematicanalysis.net/faqs/ (accessed 9 Nov 2022).
• ↵ Braun V, Clarke V. Thematic Analysis. SAGE Publications. 2022. https://uk.sagepub.com/en-gb/eur/thematic-analysis/book248481 .
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How to Write a Thematic Analysis Essay Correctly: Expert Advice

So, a thematic analysis essay. This kind of essay might be not the most complicated one. However, it doesn’t mean that you have to be confident and peaceful. You aren’t a professional writer and being worried is a normal human condition. And this is normal. People are different.

There are people that don’t like writing, you know. There are people that like writing but don’t have much experience in doing that. As well, some people want to learn how to write. That’s why, we have selected the most useful tips, which will be extremely helpful if you decide to write your essay on your own. So, just check how to do it, how to write a thematic analysis essay, and do it!

What Is a Thematic Analysis Essay: Clear Definition

But first of all, let us check exactly what kind of paper you should write. So, the definition you can guess already from the title: a thematic essay is an essay about some themes or concepts. When you are working on this kind of essay, you should consider the following moments:

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• All your attention should be focused on ideas and themes that you should analyze.
• Provide not only your analyses but the reference to external sources, because the reader might want to check them.
• Every aspect of the task should be taken into consideration, if you are writing an analysis, just consider it.
• Provide enough details, but be specific; deviations aren’t good at this kind of paper, but being too short is not helpful either.

Thematic Analysis Essay Structure Follows the Standard

The thematic analysis essay structure is the same as for any other kind of essay. Make sure you follow the standard and don’t invent anything new. So, the general structure of a thematic analysis essay is the following:

• An introduction, where you introduce the theme and explain its importance.
• The main part, where you provide detailed information and all the opinions that you consider relevant.
• A conclusion, where you actually make a conclusion for your analysis, for all your work.

How to Start a Thematic Analysis Essay: Strong Introduction

Here, introduce your theme or concept. Make it as strong as possible — the impression should be unforgettable! Only then, your reader might consider reading it till the end just out of interest and give you a good grade. So, if you are thinking about how to start a thematic analysis essay efficiently, start it with a question or a personal story. Then, the introduction will rock! The thematic analysis essay introduction is one of the most important parts of your paper.

The Main Part

In the main part, analyze the given themes. Pay attention to all aspects of your theme or concept. Provide not only your opinions but the ideas and opinions of experts or even just some other people who have been working with the same topic.

How to End a Thematic Analysis Essay Impressively

Now, it is time to check how to end a thematic analysis essay. The rules are like everywhere, like any other conclusion. You should make the final statement, the conclusions based on your analysis. Well, your conclusion should be impressive, as well. You know, a weak conclusion of a thematic analysis essay can spoil the impression from the entire work, and that is definitely not what you are looking for.

Thematic Analysis Essay Outline Processing

The thematic analysis essay outline doesn’t differ much from a standard essay outline. The same parts, the same structure. Like in the case with any other essay, you should be precise, logical, and try to make all parts of your essay as strong and impressive as you can.

However, there are some writing tips that you shouldn’t ignore. For this kind of essay, the preparation process is essential. You cannot analyze a theme if you don’t know what experts think about it. How can you compare ideas and views, if you don’t know them?

So prepare yourself to the writing process very carefully. Select the most reliable sources. If they are recommended for schools and universities, it is perfect. But even if not, just make sure they provide reliable information. In most cases, they should be published in reputable journals or websites.

When you are writing a theme analysis essay, it is important to be very attentive to the smallest detail. That’s why it is an analysis essay, you know. Other than that, the essay is just like any different kind of paper. You give your opinions, discuss them, compare them with the opinions of other people and so on.

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On Both Sides of My Brain

For years now, i’ve been puzzled—and annoyed—by the way people seem to insist on labeling what type of person one can be. i’ve finally solved my problem..

Recently, after I did a silent retreat, I was trapped on a five-hour car journey (long story) with someone who was obsessed with labeling everything. People have “math brains” or “creative brains,” there are “boy chores” and “girl chores,” and in any relationship you will have “the person who reads the map” and “the one who is social.”

I hate this tendency. But I notice myself fielding these kinds of conversations not infrequently. This labeling tic is all over the internet too; indeed, much of the content I see online seems premised upon the idea that everything can be better understood if we simply group it as a type. Sometimes morbid curiosity gets the better of me and I find myself trawling all the content related to the various attachment styles, for example. There are endless posts of grids showing how to find which type you are, with bullet-pointed lists of symptoms. In therapy, this kind of framework might be a useful introductory point to help you think through certain patterns that you’d like to change. But the stunted nature of how this content lives online means that finding your type, having a label, is presented as the end of the process rather than the start. The groupings feel as deterministic as the idea of having or not having a “math brain.” The relief in the comments is palpable: Oh, I’m that label! Everything makes sense now.

Usually when I find myself dealing with a “labeler” in real life, it’s because this idea of there being two types of brains has come up. I find this happens quite a lot because I work as a writer but I did a degree in physics and mathematics. In a normal conversation, the other person will say: Huh, that’s interesting . Or: Ah, how did you get into writing, then? And I will say: Oh, I wanted to do something that would definitely lead to a job, then I decided to screw that up, didn’ t I?

At which point the other person will realize I don’t really want to talk about it much, so our conversation will move along. But with a labeler, a script of our interaction will run something like this. (I am forced to reproduce it here in full to most accurately convey the maddening frustration it engenders.)

Them: Me? I can’t do math! I have a creative brain! [ Accusatory face ] That’s weird you write if you have a math brain.

Me: I don’t think that’s how brains work.

Them: No, it’s left and right brain. One is math and one is creative.

Me: But we each have two halves, which together form one complete brain.

Them: But either you’re good at math or you’re creative. That’s the whole thing about the two types of brains.

Me: I don’t think it works like that.

Them: There’s studies. Right and left. [ Here, they might tap their head, as if I am unaware of where in the body the brain is housed. ] One side is math. I’m creative, so I can’t do math.

Me: Yeah. I don’t think it works like that. I think math is creative.

Them: No, the thing with math is there is a right or wrong answer. You just have to learn it. I can’t think like that. I have a creative brain.

Me: No, I think it’s the opposite. I think the enjoyable thing about math is you don’t have to rote learn anything if you understand how certain rules work. I think writing is basically the same.

Them: I can’t do math.

Me: I know what you mean about finding things harder or easier. Because when I was at school, I thought I couldn’t learn foreign languages. Now I think, Well, there are bilingual babies all over the world. So it seems like something we all can do at some point. I doubt that vanishes as we grow up, even if it seems harder. I think math is probably the same for some people.

Them: I can’t do math. I don’t have a math brain.

At this point, though, they are looking around, trying to find me, because I have climbed out a nearby window. Later, I will lie in my bed, thrashing around under my covers, as I rerun the conversation over in my head. The stubbornness of it. The idea that we are all going about the world with only one-half of our brain fully operational.

Then, for the sake of my sanity, I force myself to forget about it entirely. I file it on the shelf of my brain where I put all the things I can’t think about regularly so that I’m able to function. The texts I have sent while drunk. The embarrassing things I have said during sex. That I once cried at the ending of Sweet Home Alabama . All filed together, a few shelves above the box where all the math lives.

Until I meet one again. Or until I come across one of the various pop culture iterations of this, the psychology disseminated on TikTok and Instagram and elsewhere. It’s not just attachment styles. All over those platforms, you see vlogs and infographics declaring that people can be understood best as bundles of fixed, unchanging symptoms, related to corresponding bundles of trauma, grouped neatly under buzzy labels.

This kind of therapy content feels only one step removed from the kinds of quizzes that help you find out which Girls or Sex and the City character you are (yet another labeling instinct that is weirdly rife at present). Then there is the enormous popularity of astrology meme accounts. I find it hard to take exception with this iteration of labeling, though, because my star sign is Aquarius, so the @costarastrology account (with its 2 million followers) always presents me with flattering personality reads that position me as a cool, aloof, intellectual sort. My small talk , for example, is “explaining the science behind the weather we’re having,” whereas a Cancer is “wary of anyone who tries to approach them at parties.”

Elsewhere, there are the pieces (I can’t call them literary criticism, sorry) that address novels not in terms of their content or style but with labels that appear to refer to either an imagined reader or the imagined personality of the author. Sad-girl novels. Cool-girl novels.

Obviously the idea of grouping together works of art with stylistic or thematic similarities to discuss how they relate to one another is not a new, or counterproductive, instinct. But these labels, which force together works with clashing themes and styles under a janky, misshapen umbrella, serve essentially the opposite purpose of a term like modernism or naturalism . To call a novel an example of naturalism, a practice that refers to a coherently defined style of writing, acts as a shortcut to a more expansive understanding of the work by positioning certain style choices within, for example, the societal context in which the book was written. A label like “cool-girl novels” instead encourages only the most superficial reading. The protagonist is a woman. Yes, and? What does it mean to say that a certain book is read by cool girls? How might we better understand how to engage with the work if we declare that it was written by a sad girl?

Again, I see echoes of the senseless, impenetrable anti-logic of having or not having a “math brain.” I start to imagine myself trapped in a conversation with someone who would describe literature like this. I can’t help it.

I imagine them saying, happily: I don’t read cool-girl books.

Then I would say: What is that? What is a cool-girl book?

They would say: You like them because you’re a cool girl!

Me: But what is that? You haven’t said what it is.

Them: I don’t read cool-girl books.

Me: What is it, though? You haven’t said what it is.

On and on it would go. When I come across something like this, I have to get away as quickly as possible. I close all my tabs and turn the computer off and go straight outside.

On that five-hour car journey with the labeler, though, I could not simply go outside. They were always rushing to finish my sentences too, with an ending they expected might fit with the kind of thing I had been saying. There was a manic, frantic energy to every exchange. As if something terrible might happen if I were permitted to finish a sentence by myself. Then we would have these big back-and-forths because I’d been trying to say something different all along.

It drove me mad. But seeing it up close for that length of time gave me a different perspective from the one I usually have when I leave a conversation like this. And speaking about it, I should admit, to my psychoanalyst a few days later helped me clarify my thoughts further. (That’s right, my psychoanalyst. This essay was not eccentric and unhinged enough already.)

That car journey was a form of exposure therapy, in its way. I couldn’t run. I couldn’t hide. I sat there as it went on, pinned in place by my seat belt, examining every proposed dichotomy to within an inch of its nonsensical life. Like: Why would the social person not be able to read the map? When I was finished, rather than being cleansed, I was still right there in the middle of it. In the middle of a conversation about which jobs are done by introverts and which by extroverts. And then which kind of people wear shoes to a festival and which kind go barefoot, and how this depends on the kind of music they like.

But in the wake of the silent retreat, everything seemed bathed in a rosy glow of calmness and goodwill. My thoughts were infused with peace and love and so forth. So, after my frustration had exhausted itself (and, mind you, that did still take a while), I had a sort of epiphany. After all, wasn’t there some of the labeler in me? Even by calling this person a labeler, I was assigning them a type. Wasn’t I treating them much the same as the person who believes they do not have a math brain treats math? As something incomprehensible, undeserving of curiosity, and ideally to be avoided at all costs.

Anyway, back in the car, we were talking about how status-obsessed people in London can be, always asking everyone their job as a first question. I said I used to think I hated that because I didn’t have a very impressive answer. But then my work situation improved. They declared: Now you like it! I explained that no, I was going to say I still hated it. But we got stuck in a web with them explaining what they had expected and me explaining that that wasn’t what I wanted to say. We never got into why I still hate it. Round and round we went, and I thought: Why am I not allowed to say something different from what you expected? And then the question came into my head: Why do you need to see the world this way?

Up close, the quality I had read as stubbornness (repeating over and over again the same information even in the face of new and contradictory data) and the manic energy seemed like something else. Something that I couldn’t quite place.

A few days later, with it still bugging me, I relayed the encounter to my psychoanalyst. I explained that there is a kind of person I have met before but whom I avoid spending time around. I started to describe the labels. The back-and-forths. Oh, God! she practically shouted. One of these!

She explained that what I had read as manic, frantic energy could be better understood as anxiety. A desire to be in control, to fit everything into neat little boxes, and that, to this end, interactions must follow a certain script. This person registers ending a sentence with a different conclusion from what they expected (going off script) not as new information but as a loss of control. If they come to analysis, they come in with all these labels, explanations for why they have to do all the things they do. They are this type or that type, and because of this they are fixed—they have to behave a certain way in a group, for example, because they’re an extrovert. They have no choice. It takes months and months to ever get beyond that, my therapist said.

I had been so preoccupied with how the labelers do my head in. Given more time to think, I saw a new side of it: They do their own heads in much more. I feel I increasingly understand where it comes from too. You go about life, and you do notice certain patterns. Making certain assumptions based on these can be a way of making life feel safer. The kind of man who is rude to a waiter is not one I would pursue a relationship with, I can see that. The overdrive of it still strikes me as facile and not true to life at all: I know for a fact that many social people can also read the map. But I can relate to that instinct to make life feel more predictable, less like a thing that can never really be understood.

Recently, I found myself in the math-brain conversation. It started as it always does.

Me: Ah. I haven’t heard of that before. I’ll look that up.

And then we moved on to talk about other things.

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Nursing leadership in a post-pandemic elective orthopaedic theatre department: a detailed thematic analysis of an open-ended qualitative survey.

Graphical Abstract

1. Introduction

2. materials and methods, 2.1. study design, 2.2. setting, recruitment, participants, and data collection, 2.3. data analysis, 3.1. immediate changes, 3.1.1. guidelines and policies, 3.1.2. personal protective equipment (ppe), 3.1.3. redeployment, 3.1.4. wellbeing, 3.2. delayed changes, 3.2.1. increased workload, 3.2.2. organisational pressure, 3.2.3. transfer or change of unit, 3.2.4. physical health, 3.3. pre-existing conditions, 3.3.1. staff shortage, 3.3.2. training, 3.3.3. development and support, 3.3.4. opportunities for promotion, 4. discussion, 4.1. implications for nursing practice, 4.2. limitations of the study, 5. conclusions, author contributions, institutional review board statement, informed consent statement, data availability statement, public involvement statement, guidelines and standards statement, use of artificial intelligence, conflicts of interest.

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Biz, C.; Buffon, L.; Scapinello, D.; Semple, S.; Belluzzi, E.; Batash, R.; Ruggieri, P. Nursing Leadership in a Post-Pandemic Elective Orthopaedic Theatre Department: A Detailed Thematic Analysis of an Open-Ended Qualitative Survey. Nurs. Rep. 2024 , 14 , 1541-1552. https://doi.org/10.3390/nursrep14030116

Biz C, Buffon L, Scapinello D, Semple S, Belluzzi E, Batash R, Ruggieri P. Nursing Leadership in a Post-Pandemic Elective Orthopaedic Theatre Department: A Detailed Thematic Analysis of an Open-Ended Qualitative Survey. Nursing Reports . 2024; 14(3):1541-1552. https://doi.org/10.3390/nursrep14030116

Biz, Carlo, Lisa Buffon, Davide Scapinello, Sean Semple, Elisa Belluzzi, Ron Batash, and Pietro Ruggieri. 2024. "Nursing Leadership in a Post-Pandemic Elective Orthopaedic Theatre Department: A Detailed Thematic Analysis of an Open-Ended Qualitative Survey" Nursing Reports 14, no. 3: 1541-1552. https://doi.org/10.3390/nursrep14030116

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Analyzing fiction in demographic research. What can we learn? What are the specific challenges?

30th International Population Conference (UIESP/IUSSP) 13-18 July 2025 Brisbane (Australia) https://ipc2025.iussp.org/

Thematic Session n°62

Theme: Data and methods

Organisers : Carole Brugeilles (Université Paris Nanterre), Mathieu Arbogast (Cresppa-GTM et CEMS), and Virginie Rozée (INED)

In its endeavor to understand populations, demography addresses the issue of studying social norms. Fiction plays an important role in building and reflecting these norms. People are heavily exposed to media contents and other publications (textbooks, literature, newspapers…) and to the social representations they convey. States even instrumented TV programs to influence the use of birth control in some countries. All of them rely on textbooks to promote specific social norms. The people on the screen or in books are not exactly the same as the people off-fiction. They do not exactly have the same bodies, families, fertility, sexual behaviors or sexualities. As early as television beginnings in the 1950s, researchers studied the basic demographics in the media contents, with the quantitative tools of content analysis. Only recently though researchers brought demographic analysis of fictional contents and characters to the next level, thus revealing methodological hardships. How can one categorize the gender of unidentified lifeforms as aliens in cartoons, books or textbooks? Is race categorization possible? If so, should one take only into account information on the characters or also biographic input about the actors? How is it possible to apply demographic indicators to a population of fiction? How can survival analysis be applied to multiple seasons TV series? What are the sexual health messages displayed in popular TV series? We call all the demographers working with fictional contents to share their findings and their methodological media-specific challenges.

Call for paper and posters:

• Open for submission: 1 May 2024
• Deadline for submission: 15 September 2024

Detailed information:   https://ipc2025.iussp.org/cms/wp-content/uploads/2023/11/23171-IUSSP-IPC-2025-Brochure-beeldschermversie.pdf

[email protected]

[email protected]

[email protected]