research theme meaning

What Is the Theme of a Research Paper?

How to Write a Motif Paper

The term "theme" is a small word, but it can intimidate students when they see it on an assignment or test. To overcome the fear and develop confidence, especially with regard to research papers, understand what the word means and see the parallels with any work, including poems, essays, plays, novels and movies.

“Theme” Defined

A theme is a major and sometimes recurring idea, subject or topic that appears in a written work. A dominant theme usually reveals what the work is really about and can be helpful in forming insights and analysis. A theme can consist of one word, two words or more. For example, your teacher might ask you to explore the straightforward ideas of “anger” or “selfishness” or more complex themes of “emotional intelligence” or “conflicted emotions.” Either way, careful reading of the work is vital so that you can marshal examples of where the theme was apparent.

Examples in Research

Themes in research papers might require a little digging, but they are there. Sometimes they are easier to spot when several research papers on the same subject are compared or contrasted, for this is when such subtext emerges. For example, three research papers on the subject of avid TV viewing by teenagers might contain different themes, such as simpler ideas including “passivity” or "grades" or a more complex theme, such as “effects on familial relationships.”

Seize the Opportunity

Once you've identified the theme of a research paper or papers, seize the opportunity and analyze it. Say that you like the idea of exploring how avid TV viewing -- more than four hours per day -- affects teens' grades. Further, suppose that researchers are in general agreement about the correlation but cast a wide net in terms of how they define “passivity.” You might set up a thematic segue for a research paper by saying, “Researchers continue to debate how to define passivity in teens and reach across the spectrum to include the number of hours per day they spend in solitude, the number of people they count as close friends and their lack of interest in hobbies and extracurricular activities.” Then you would take each of these ideas and expound in greater detail.

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With education, health care and small business marketing as her core interests, M.T. Wroblewski has penned pieces for Woman's Day, Family Circle, Ladies Home Journal and many newspapers and magazines. She holds a master's degree in journalism from Northern Illinois University.

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 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.

Need a helping hand?

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 (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project. 

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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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• 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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Textual analysis is the method of analysing and understanding the text. We need to look carefully at the text to identify the writer’s context and message.

A hypothesis is a research question that has to be proved correct or incorrect through hypothesis testing – a scientific approach to test a hypothesis.

A variable is a characteristic that can change and have more than one value, such as age, height, and weight. But what are the different types of variables?

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Research Design Review

A discussion of qualitative & quantitative research design, qualitative data analysis: what is a theme.

To answer that question, it may be easier to begin with what is not a theme. A theme is not a product of word frequency counts. For example, if the word “communication” comes up frequently by participants in a focus group study pertaining to what patients need from their physicians, “communication” is not a useful theme that the researcher draws from the data. If an in-depth interview (IDI) study is conducted with older adults concerning their experiences during the pandemic and the word “technology” or words “technological devices” are often used in response to the interviewer’s questions, these words do not constitute a theme.

Similarly, the dominance of participants’ comments within a particular topic area does not necessarily represent a theme to be derived from the data. The focus group participants may have talked a lot about some aspect of communication as it relates to the patient-physician relationship; however, “communication” may not be the appropriate theme. And, even though the IDI participants may have brought up the topic of technology in response to many of the interviewer’s questions, “technology” is not necessarily a theme to be derived from the analysis.

Using these examples, “communication” and “technology” are better classified as categories or “buckets” rather than themes. As discussed in “The Important Role of ‘Buckets’ in Qualitative Data Analysis”

These categories basically represent buckets of codes that are deemed to share a certain underlying construct or meaning. In the end, the researcher is left with any number of buckets filled with a few or many codes from which the researcher can identify patterns or themes in the data overall.

It is within and across the categories that researchers derive themes. To do that, the researcher approaches each bucket with the question, ‘In what context was this construct discussed?’ In other words, on what basis or meaning did participants talk about the broad constructs the researcher perceived in the data. It is only by digging into each bucket and then analyzing across buckets that the researcher will create rich themes leading to useful outcomes for the research sponsor. For example, when the researcher explores the “communication” bucket they may find that some participants were only focused on the mode of communication (e.g., email compared to phone communication) while others mostly talked about the frequency and speed of communication, and still other participants spoke entirely about the content of communication. The researcher may be tempted to assert that communication is the theme as defined by these various areas of emphasis but that is a weak approach compared to the rich insight that can be gained by extending the analysis across categories.

By looking across categorical buckets researchers derive a contextually driven understanding of the data. An example of this is provided in the article “Actively Conducting an Analysis to Construct an Interpretation.” This article demonstrates (by way of an IDI study with financial managers) the researcher’s creation of the theme “strong partnership” from two categories — partner and communication — derived from three codes in the partner category and two codes in communication (see the image above). As stated in that article

The theme “strong partnership” did not simply emerge from the data, it was not lying in the data waiting to be discovered. Rather, the researcher utilized their analytical skills, in conjunction with their constructed understanding of each participant’s contribution to the data, to create contextually sound, meaningful themes such as “strong partnership.” Then, with the depth of definition associated with each theme, the researcher looked within and across themes to build an interpretation of the research data targeted at the research objectives, and provided the users of the research with a meaningful path forward.

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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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Research Themes

The School of Education prides itself on conducting research that seeks to challenge established borders and perspectives in Education. To this end, researchers within the School have identified a range of research themes that help inform their interests and foci. These research themes are not meant to be definitive, but instead provides insights into researchers’ interests in the domains of: learning, development and identity formation; education in the margins; the holistic embodiment of learning, and; society, ethics and how we live together. These research themes are evident in the five main research areas, in the work of specific academics, and in the specific projects that currently inform our academics' work. 

Learning, development and identity formation

Exploring human learning, intertwining cognitive, social, emotional and psychological development and identity formation.

The research in this theme explores human learning with the understanding that it is more than cognitive or academic development, but is intertwined and occurs simultaneously with social, emotional and psychological development, and identity formation. Our research considers that young people develop ‘learner identities’ in relation to and mediated by subject matter and skills, as well as other individuals and groups, both at and beyond school. These learner identities interact with a range of mediating influences that include but are not limited to school context, racial, geographic, gendered, socioeconomic, online and offline, and Indigenous ways of knowing, interacting, valuing, thinking, speaking and writing. This research also explores how teachers develop personal and professional identities mediated by their qualifications, experiences, professional learning, school context, and personal/professional goals.

Education in the margins & marginality

Interrogating and challenging marginality in national and international education, with reference to policy, practice and people

Researchers in this theme interrogate and seek to develop insights into marginality in national and international education with reference to policy, practice and people. We also theoretically and pragmatically use margins as contexts for explorations of student and teacher learning and how this learning can be better supported. This is an interdisciplinary group, as members engage with marginality and marginalized groups in different education spaces, both nationally and internationally, drawing on their disciplinary perspectives from such fields as diverse as global education policy, mathematics education and language policy and practice.

Holistic embodiment of learning

Utilising unique or emerging approaches to explore learning, including through neuroscience, and post-qualitative methods.

The researchers in this theme seek to utilise unique or emerging approaches to explore learning such as holistic embodiment, more than human research methods, neuroscience/physiological responses and post qualitative methods. Learning is viewed through the lenses of contemporary methodologies (e.g. metalogue) and theories (social, critical and political theory).  Improvement of knowledge and practice of research and teaching are investigated through generative dialogues, dialogic pedagogies, co-regulation and communities of practice.

Society, ethics and how we live together

Exploring how educational research might contribute to a more ethical way of living together in society

The research thread of this theme relates to the ways in which educational research as praxis might contribute to a more ethical way of living together in society. Significantly, researchers in this cluster are drawn together by a bigger picture concern for the philosophical, pedagogical and political groundings of educating and education for an ethical society, and a closer to home concerns for diverse, intersectional and disadvantaged peoples who are marginalised under current conditions.

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ENGL 111: English Composition - Indianapolis

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Closed research themes for engl 111, themes found in they say, i say, 5th edition, other themes selected by engl 111 instructors.

This guide explores English topics relevant to ENGL 075, ENGL 095, ENGL 111, ENGL 111H, ENGL 202, ENGL 203, ENGL 206, ENGL 211, ENGL 214, and ENGL 215. 

• Use the links at the left to explore and find starting points for your research. 
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ENGL 111 is structured around closed research themes to create a shared body of knowledge around which students think and write. Themed reading lists offer foundational concepts and differing perspectives as we explore a common topic. Below are readings and resources for themes that may be used in ENGL 111.

• Why Care About The Planet?
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• Monsters & Monstrosity
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Methodology

• What Is Qualitative Research? | Methods & Examples

What Is Qualitative Research? | Methods & Examples

Published on June 19, 2020 by Pritha Bhandari . Revised on June 22, 2023.

Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. It can be used to gather in-depth insights into a problem or generate new ideas for research.

Qualitative research is the opposite of quantitative research , which involves collecting and analyzing numerical data for statistical analysis.

Qualitative research is commonly used in the humanities and social sciences, in subjects such as anthropology, sociology, education, health sciences, history, etc.

• How does social media shape body image in teenagers?
• How do children and adults interpret healthy eating in the UK?
• What factors influence employee retention in a large organization?
• How is anxiety experienced around the world?
• How can teachers integrate social issues into science curriculums?

Table of contents

Approaches to qualitative research, qualitative research methods, qualitative data analysis, advantages of qualitative research, disadvantages of qualitative research, other interesting articles, frequently asked questions about qualitative research.

Qualitative research is used to understand how people experience the world. While there are many approaches to qualitative research, they tend to be flexible and focus on retaining rich meaning when interpreting data.

Common approaches include grounded theory, ethnography , action research , phenomenological research, and narrative research. They share some similarities, but emphasize different aims and perspectives.

Note that qualitative research is at risk for certain research biases including the Hawthorne effect , observer bias , recall bias , and social desirability bias . While not always totally avoidable, awareness of potential biases as you collect and analyze your data can prevent them from impacting your work too much.

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Each of the research approaches involve using one or more data collection methods . These are some of the most common qualitative methods:

• Observations: recording what you have seen, heard, or encountered in detailed field notes.
• Interviews:  personally asking people questions in one-on-one conversations.
• Focus groups: asking questions and generating discussion among a group of people.
• Surveys : distributing questionnaires with open-ended questions.
• Secondary research: collecting existing data in the form of texts, images, audio or video recordings, etc.
• You take field notes with observations and reflect on your own experiences of the company culture.
• You distribute open-ended surveys to employees across all the company’s offices by email to find out if the culture varies across locations.
• You conduct in-depth interviews with employees in your office to learn about their experiences and perspectives in greater detail.

Qualitative researchers often consider themselves “instruments” in research because all observations, interpretations and analyses are filtered through their own personal lens.

For this reason, when writing up your methodology for qualitative research, it’s important to reflect on your approach and to thoroughly explain the choices you made in collecting and analyzing the data.

Qualitative data can take the form of texts, photos, videos and audio. For example, you might be working with interview transcripts, survey responses, fieldnotes, or recordings from natural settings.

Most types of qualitative data analysis share the same five steps:

• Prepare and organize your data. This may mean transcribing interviews or typing up fieldnotes.
• Review and explore your data. Examine the data for patterns or repeated ideas that emerge.
• Develop a data coding system. Based on your initial ideas, establish a set of codes that you can apply to categorize your data.
• Assign codes to the data. For example, in qualitative survey analysis, this may mean going through each participant’s responses and tagging them with codes in a spreadsheet. As you go through your data, you can create new codes to add to your system if necessary.
• Identify recurring themes. Link codes together into cohesive, overarching themes.

There are several specific approaches to analyzing qualitative data. Although these methods share similar processes, they emphasize different concepts.

Qualitative research often tries to preserve the voice and perspective of participants and can be adjusted as new research questions arise. Qualitative research is good for:

• Flexibility

The data collection and analysis process can be adapted as new ideas or patterns emerge. They are not rigidly decided beforehand.

• Natural settings

Data collection occurs in real-world contexts or in naturalistic ways.

• Meaningful insights

Detailed descriptions of people’s experiences, feelings and perceptions can be used in designing, testing or improving systems or products.

• Generation of new ideas

Open-ended responses mean that researchers can uncover novel problems or opportunities that they wouldn’t have thought of otherwise.

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Researchers must consider practical and theoretical limitations in analyzing and interpreting their data. Qualitative research suffers from:

• Unreliability

The real-world setting often makes qualitative research unreliable because of uncontrolled factors that affect the data.

• Subjectivity

Due to the researcher’s primary role in analyzing and interpreting data, qualitative research cannot be replicated . The researcher decides what is important and what is irrelevant in data analysis, so interpretations of the same data can vary greatly.

• Limited generalizability

Small samples are often used to gather detailed data about specific contexts. Despite rigorous analysis procedures, it is difficult to draw generalizable conclusions because the data may be biased and unrepresentative of the wider population .

• Labor-intensive

Although software can be used to manage and record large amounts of text, data analysis often has to be checked or performed manually.

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.

• Chi square goodness of fit test
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Inclusion and exclusion criteria

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

There are five common approaches to qualitative research :

• Grounded theory involves collecting data in order to develop new theories.
• Ethnography involves immersing yourself in a group or organization to understand its culture.
• Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
• Phenomenological research involves investigating phenomena through people’s lived experiences.
• Action research links theory and practice in several cycles to drive innovative changes.

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organizations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organize your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

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Definition of theme

Examples of theme in a sentence.

These examples are programmatically compiled from various online sources to illustrate current usage of the word 'theme.' Any opinions expressed in the examples do not represent those of Merriam-Webster or its editors. Send us feedback about these examples.

Word History

Middle English teme, theme , from Anglo-French & Latin; Anglo-French, from Latin thema , from Greek, literally, something laid down, from tithenai to place — more at do

14th century, in the meaning defined at sense 1a

Phrases Containing theme

• sub - theme

Dictionary Entries Near theme

theme and variations

Cite this Entry

“Theme.” Merriam-Webster.com Dictionary , Merriam-Webster, https://www.merriam-webster.com/dictionary/theme. Accessed 17 Apr. 2024.

Kids Definition

Kids definition of theme, more from merriam-webster on theme.

Nglish: Translation of theme for Spanish Speakers

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• The Cass review: an...

The Cass review: an opportunity to unite behind evidence informed care in gender medicine

• Related content
• Peer review
• Kamran Abbasi , editor in chief
• kabbasi{at}bmj.com
• Follow Kamran on Twitter @KamranAbbasi

At the heart of Hilary Cass’s review of gender identity services in the NHS is a concern for the welfare of “children and young people” (doi: 10.1136/bmj.q820 ). 1 Her stated ambition is to ensure that those experiencing gender dysphoria receive a high standard of care. This will be disputed, of course, by people and lobbying groups angered by her recommendations, but it is a theme running through the review. Cass, a past president of the UK’s Royal College of Paediatrics and Child Health, seeks to provide better care for children and adolescents on one of the defining issues of our age. Her conclusion is alarming for anybody who genuinely cares for child welfare: gender medicine is “built on shaky foundations” (doi: 10.1136/bmj.q814 ). 2

That verdict is supported by a series of review papers published in Archives of Disease in Childhood , a journal published by BMJ and the Royal College of Paediatrics and Child Health (doi: 10.1136/archdischild-2023-326669 doi: 10.1136/archdischild-2023-326670 doi: 10.1136/archdischild-2023-326499 doi: 10.1136/archdischild-2023-326500 ). 3 4 5 6 The evidence base for interventions in gender medicine is threadbare, whichever research question you wish to consider—from social transition to hormone treatment.

For example, of more than 100 studies examining the role of puberty blockers and hormone treatment for gender transition only two were of passable quality. To be clear, intervention studies—particularly of drug and surgical interventions—should include an appropriate control group, ideally be randomised, ensure concealment of treatment allocation (although open label studies are sometimes acceptable), and be designed to evaluate relevant outcomes with adequate follow-up.

One emerging criticism of the Cass review is that it set the methodological bar too high for research to be included in its analysis and discarded too many studies on the basis of quality. In fact, the reality is different: studies in gender medicine fall woefully short in terms of methodological rigour; the methodological bar for gender medicine studies was set too low, generating research findings that are therefore hard to interpret. The methodological quality of research matters because a drug efficacy study in humans with an inappropriate or no control group is a potential breach of research ethics. Offering treatments without an adequate understanding of benefits and harms is unethical. All of this matters even more when the treatments are not trivial; puberty blockers and hormone therapies are major, life altering interventions. Yet this inconclusive and unacceptable evidence base was used to inform influential clinical guidelines, such as those of the World Professional Association for Transgender Health (WPATH), which themselves were cascaded into the development of subsequent guidelines internationally (doi: 10.1136/bmj.q794 ). 7

The Cass review attempted to work with the Gender Identity Development Service (GIDS) and the NHS adult gender services to “fill some of the gaps in follow-up data for the approximately 9000 young people who have been through GIDS to develop a stronger evidence base.” However, despite encouragement from NHS England, “the necessary cooperation was not forthcoming.” Professionals withholding data from a national inquiry seems hard to imagine, but it is what happened.

A spiralling interventionist approach, in the context of an evidence void, amounted to overmedicalising care for vulnerable young people. A too narrow focus on gender dysphoria, says Cass, neglected other presenting features and failed to provide a holistic model of care. Gender care became superspecialised when a more general, multidisciplinary approach was required. In a broader sense, this failure is indicative of a societal failure in child and adolescent health (doi: 10.1136/bmj.q802 doi: 10.1136/bmj-2022-073448 ). 8 9 The review’s recommendations, which include confining prescription of puberty blockers and hormonal treatments to a research setting (doi: 10.1136/bmj.q660 ), now place the NHS firmly in line with emerging practice internationally, such as in Scandinavia (doi: 10.1136/bmj.p553 ). 10 11

Cass proposes a future model of regional multidisciplinary centres that provide better access and, importantly, standardised care for gender dysphoria, including a smoother transition between adolescent and adult services. Staff will need training. All children and young people embarking on a care pathway will be included in research to begin to rectify the problems with the evidence base, with long term outcomes being an important area of focus. An already stretched workforce will need to extend itself further (doi: 10.1136/bmj.q795 doi: 10.1136/bmj-2024-079474 ). 12 13 In the meantime, some children and young people will turn to the private sector or online providers to meet their needs. The dangers in this moment of service transition are apparent.

But it’s also a moment of opportunity. Families, carers, advocates, and clinicians—acting in the best interests of children and adolescents—face a clear choice whether to allow the Cass review to deepen division or use it as a driver of better care. The message from the evidence reviews in Archives of Disease in Childhood is as unequivocal as it could be. Cass’s review is independent and listened to people with lived experience. Without doubt, the advocacy and clinical practice for medical treatment of gender dysphoria had moved ahead of the evidence—a recipe for harm.

People who are gender non-conforming experience stigmatisation, marginalisation, and harassment in every society. They are vulnerable, particularly during childhood and adolescence. The best way to support them, however, is not with advocacy and activism based on substandard evidence. The Cass review is an opportunity to pause, recalibrate, and place evidence informed care at the heart of gender medicine. It is an opportunity not to be missed for the sake of the health of children and young people. It is an opportunity for unity.

• Mitchell A ,
• Langton T ,
• Heathcote C ,
• Hewitt CE ,
• Hardiman L ,
• Wilkinson E
• Dixon-Woods M ,
• Summers C ,

AT THE SMITHSONIAN

What indigenous cultures from around the world believe about eclipses.

A Smithsonian folklorist looks back and finds stories that explain how a darkening of daytime skies provokes a foreboding of evil

James Deutsch

Curator, Folklore, Smithsonian Center for Folklife and Cultural Heritage

A long time ago, before NASA and Google teamed up to create interactive maps of forthcoming solar eclipses, or before we ever sought celestial advice from GeekDad.com , our human ancestors would look up at the darkening sky and exclaim something like, “what the heck?”

A total solar eclipse is amazing—like nothing else experienced on planet Earth. I’ve seen only two before—first on August 11, 1999 , in eastern Bulgaria, not far from where I was living at the time; and more recently on August 21, 2017 , when I flew to Atlanta and then drove to a small state park just across the South Carolina state line to be within the path of totality. This time, on April 8, I am scheduled to fly to the Dallas Fort Worth International Airport, conveniently located directly within the path of totality. If all goes according to plan, I’ll arrive by 11:30 a.m. CDT, make my way to a grassy observation area at the airport known as Founders’ Plaza , put on my eclipse glasses (courtesy of the Smithsonian’s National Air and Space Museum) , and then watch transfixed as the eclipse begins at 12:23 p.m. with roughly three-and-a-half minutes of totality beginning at 1:41 p.m. The following day, I’m scheduled to fly to Salt Lake City for a public history conference .

Back in Washington, D.C., the eclipse will block about 87 percent of the sun, which may sound like a lot, but it’s nothing like what happens during a total solar eclipse of 100 percent. The difference, pardon the expression—is like day and night. As NASA astronomer Michelle Thaller vividly described the latter to WAMU 88.5 , “The sky starts to get cool and dark, a couple minutes before totality. And all of your instincts, all of a sudden, start to freak out. Something’s going wrong. . . . There’s this deep basic panic that sets in as the whole world changes in a way it’s not supposed to. All of a sudden it feels like you’re standing on another planet.”

I very much share Thaller’s excitement, but what especially intrigues me as a folklorist are the folk beliefs shared and the stories told across world cultures to explain this astronomical phenomenon.

According to the Motif-Index of Folk Literature , a magisterial six-volume compilation of myths, legends and folktales collected by folklorists in the early 20th century, these may include a monster devouring the sun, a punishment from the gods for human errors, and a prelude to apocalypse.

Several entries from the late 1940s feature stories about eclipses from Native tribes in South America . For instance, according to the Chiqutoan Manasi people of eastern Bolivia, “The sun was a resplendent man and the moon was his sister. Eclipses were caused by celestial serpents which attacked these luminaries, threatening mankind with darkness. This catastrophe was to be followed by the transformation of men into hairy animals and by their mutual extermination.”

Among the Apapocúva-Guaraní people of eastern Paraguay and northern Brazil, “Eclipses are caused by the Eternal Bat, or in some cases the Celestial Jaguar, which gnaws the Sun or the Moon. The Apapocúva have a very pessimistic outlook on the future of the world; they are firmly convinced that its end is near. Very soon Our Great Father will set the earth on fire, unleashing the Eternal Bat and the Blue Jaguar which will destroy the stars and mankind.”

Similar feelings of foreboding are expressed in Armenian folklore, according to a seven-volume study, The Mythology of All Races , also cited in the Motif-Index. “As among many other peoples, the eclipse of the sun and moon was thought to be caused by dragons which endeavor to swallow these luminaries. . . . When the moon was at an eclipse, the sorcerers said that it resembled a demon. It was, moreover, a popular belief that a sorcerer could bind the sun and moon in their course, or deprive them of their light. . . . Needless to add that the eclipses and the appearance of comets foreboded evil. Their chronologies are full of notices of such astronomical phenomena that presaged great national and universal disasters.” 

Indeed such “universal disasters” associated with eclipses are also part of The Legends of the Jews , a seven-volume collection by Rabbi Louis Ginzberg, published over the period from 1909 to 1942. These legends explicitly link solar eclipses to the expulsion of Adam and Eve from the Garden of Eden and also to the crucifixion of Jesus. As explained by Dov Neuman in his analysis of this folk literature, the sun is eclipsed “because it cannot stand tragic happenings in world history.” 

For those of us within the path of totality on April 8, it may indeed appear as if a dragon or serpent is swallowing the sun. When day becomes night and temperatures suddenly drop, it may feel as if the end is near. Like our ancient ancestors, we can only hope that the sun will return to shine after a period of total darkness lasting no more than 4 minutes, 9 seconds (if you’re near Carbondale, Illinois —which oddly enough was also within the path of totality in 2017, but only for 2 minutes, 41 seconds). And if that’s the case, eclipse chasers in the United States can look forward to more in our future: 2044, 2045 and 2078. What the heck! 

A version of this article was originally published in the online magazine of the Smithsonian Center for Folklife and Cultural Heritage.  

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James Deutsch is a curator at the Smithsonian Center for Folklife and Cultural Heritage, where he has helped develop exhibitions on the Peace Corps, China and World War II, among others. In addition, he serves as an adjunct professor—teaching courses on American film history and folklore—in the American Studies Department at George Washington University.