analysis of interpretation thesis

Module 8: Analysis and Synthesis

Analytical thesis statements, learning objective.

• Describe strategies for writing analytical thesis statements
• Identify analytical thesis statements

In order to write an analysis, you want to first have a solid understanding of the thing you are analyzing. Remember, when you are analyzing as a writer, you are:

• Breaking down information or artifacts into component parts
• Uncovering relationships among those parts
• Determining motives, causes, and underlying assumptions
• Making inferences and finding evidence to support generalizations

You may be asked to analyze a book, an essay, a poem, a movie, or even a song. For example, let’s suppose you want to analyze the lyrics to a popular song. Pretend that a rapper called Escalade has the biggest hit of the summer with a song titled “Missing You.” You listen to the song and determine that it is about the pain people feel when a loved one dies. You have already done analysis at a surface level and you want to begin writing your analysis. You start with the following thesis statement:

Escalade’s hit song “Missing You” is about grieving after a loved one dies.

There isn’t much depth or complexity to such a claim because the thesis doesn’t give much information. In order to write a better thesis statement, we need to dig deeper into the song. What is the importance of the lyrics? What are they really about? Why is the song about grieving? Why did he present it this way? Why is it a powerful song? Ask questions to lead you to further investigation. Doing so will help you better understand the work, but also help you develop a better thesis statement and stronger analytical essay.

Formulating an Analytical Thesis Statement

When formulating an analytical thesis statement in college, here are some helpful words and phrases to remember:

• What? What is the claim?
• How? How is this claim supported?
• So what? In other words, “What does this mean, what are the implications, or why is this important?”

Telling readers what the lyrics are might be a useful way to let them see what you are analyzing and/or to isolate specific parts where you are focusing your analysis. However, you need to move far beyond “what.” Instructors at the college level want to see your ability to break down material and demonstrate deep thinking. The claim in the thesis statement above said that Escalade’s song was about loss, but what evidence do we have for that, and why does that matter?

Effective analytical thesis statements require digging deeper and perhaps examining the larger context. Let’s say you do some research and learn that the rapper’s mother died not long ago, and when you examine the lyrics more closely, you see that a few of the lines seem to be specifically about a mother rather than a loved one in general.

Then you also read a recent interview with Escalade in which he mentions that he’s staying away from hardcore rap lyrics on his new album in an effort to be more mainstream and reach more potential fans. Finally, you notice that some of the lyrics in the song focus on not taking full advantage of the time we have with our loved ones.   All of these pieces give you material to write a more complex thesis statement, maybe something like this:

In the hit song “Missing You,” Escalade draws on his experience of losing his mother and raps about the importance of not taking time with family for granted in order to connect with his audience.

Such a thesis statement is focused while still allowing plenty of room for support in the body of your paper. It addresses the questions posed above:

• The claim is that Escalade connects with a broader audience by rapping about the importance of not taking time with family for granted in his hit song, “Missing You.”
• This claim is supported in the lyrics of the song and through the “experience of losing his mother.”
• The implications are that we should not take the time we have with people for granted.

Certainly, there may be many ways for you to address “what,” “how,” and “so what,” and you may want to explore other ideas, but the above example is just one way to more fully analyze the material. Note that the example above is not formulaic, but if you need help getting started, you could use this template format to help develop your thesis statement.

Through ________________(how?), we can see that __________________(what?), which is important because ___________________(so what?). [1]

Just remember to think about these questions (what? how? and so what?) as you try to determine why something is what it is or why something means what it means. Asking these questions can help you analyze a song, story, or work of art, and can also help you construct meaningful thesis sentences when you write an analytical paper.

Key Takeaways for analytical theses

Don’t be afraid to let your claim evolve organically . If you find that your thinking and writing don’t stick exactly to the thesis statement you have constructed, your options are to scrap the writing and start again to make it fit your claim (which might not always be possible) or to modify your thesis statement. The latter option can be much easier if you are okay with the changes. As with many projects in life, writing doesn’t always go in the direction we plan, and strong analysis may mean thinking about and making changes as you look more closely at your topic. Be flexible.

Use analysis to get you to the main claim. You may have heard the simile that analysis is like peeling an onion because you have to go through layers to complete your work. You can start the process of breaking down an idea or an artifact without knowing where it will lead you or without a main claim or idea to guide you. Often, careful assessment of the pieces will bring you to an interesting interpretation of the whole. In their text Writing Analytically , authors David Rosenwasser and Jill Stephen posit that being analytical doesn’t mean just breaking something down. It also means constructing understandings. Don’t assume you need to have deeper interpretations all figured out as you start your work.

When you decide upon the main claim, make sure it is reasoned . In other words, if it is very unlikely anyone else would reach the same interpretation you are making, it might be off base. Not everyone needs to see an idea the same way you do, but a reasonable person should be able to understand, if not agree, with your analysis.

Look for analytical thesis statements in the following activity.

Using Evidence

An effective analytical thesis statement (or claim) may sound smart or slick, but it requires evidence to be fully realized. Consider movie trailers and the actual full-length movies they advertise as an analogy. If you see an exciting one-minute movie trailer online and then go see the film only to leave disappointed because all the good parts were in the trailer, you feel cheated, right? You think you were promised something that didn’t deliver in its execution. A paper with a strong thesis statement but lackluster evidence feels the same way to readers.

So what does strong analytical evidence look like? Think again about “what,” “how,” and “so what.” A claim introduces these interpretations, and evidence lets you show them. Keep in mind that evidence used in writing analytically will build on itself as the piece progresses, much like a good movie builds to an interesting climax.

Key Takeaways about evidence

Be selective about evidence. Having a narrow thesis statement will help you be selective with evidence, but even then, you don’t need to include any and every piece of information related to your main claim. Consider the best points to back up your analytic thesis statement and go deeply into them. (Also, remember that you may modify your thesis statement as you think and write, so being selective about what evidence you use in an analysis may actually help you narrow down what was a broad main claim as you work.) Refer back to our movie theme in this section: You have probably seen plenty of films that would have been better with some parts cut out and more attention paid to intriguing but underdeveloped characters and/or ideas.

Be clear and explicit with your evidence. Don’t assume that readers know exactly what you are thinking. Make your points and explain them in detail, providing information and context for readers, where necessary. Remember that analysis is critical examination and interpretation, but you can’t just assume that others always share or intuit your line of thinking. Need a movie analogy? Think back on all the times you or someone you know has said something like “I’m not sure what is going on in this movie.”

Move past obvious interpretations. Analyzing requires brainpower. Writing analytically is even more difficult. Don’t, however, try to take the easy way out by using obvious evidence (or working from an obvious claim). Many times writers have a couple of great pieces of evidence to support an interesting interpretation, but they feel the need to tack on an obvious idea—often more of an observation than analysis—somewhere in their work. This tendency may stem from the conventions of the five-paragraph essay, which features three points of support. Writing analytically, though, does not mean writing a five-paragraph essay (not much writing in college does). Develop your other evidence further or modify your main idea to allow room for additional strong evidence, but avoid obvious observations as support for your main claim. One last movie comparison? Go take a look at some of the debate on predictable Hollywood scripts. Have you ever watched a movie and felt like you have seen it before? You have, in one way or another. A sharp reader will be about as interested in obvious evidence as he or she will be in seeing a tired script reworked for the thousandth time.

One type of analysis you may be asked to write is a literary analysis, in which you examine a piece of text by breaking it down and looking for common literary elements, such as character, symbolism, plot, setting, imagery, and tone.

The video below compares writing a literary analysis to analyzing a team’s chances of winning a game—just as you would look at various factors like the weather, coaching, players, their record, and their motivation for playing. Similarly, when analyzing a literary text you want to look at all of the literary elements that contribute to the work.

The video takes you through the story of Cinderalla as an example, following the simplest possible angle (or thesis statement), that “Dreams can come true if you don’t give up.” (Note that if you were really asked to analyze Cinderella for a college class, you would want to dig deeper to find a more nuanced and interesting theme, but it works well for this example.) To analyze the story with this theme in mind, you’d want to consider the literary elements such as imagery, characters, dialogue, symbolism, the setting, plot, and tone, and consider how each of these contribute to the message that “Dreams can come true if you don’t give up.”

You can view the transcript for “How to Analyze Literature” here (opens in new window) .

• UCLA Undergraduate Writing Center. "What, How and So What?" Approaching the Thesis as a Process. https://wp.ucla.edu/wp-content/uploads/2016/01/UWC_handouts_What-How-So-What-Thesis-revised-5-4-15-RZ.pdf ↵
• Keys to Successful Analysis. Authored by : Guy Krueger. Provided by : University of Mississippi. License : CC BY-SA: Attribution-ShareAlike
• Thesis Statement Activity. Authored by : Excelsior OWL. Located at : https://owl.excelsior.edu/research/thesis-or-focus/thesis-or-focus-thesis-statement-activity/ . License : CC BY: Attribution
• What is Analysis?. Authored by : Karen Forgette. Provided by : University of Mississippi. License : CC BY: Attribution
• How to Analyze Literature. Provided by : HACC, Central Pennsylvania's Community College. Located at : https://www.youtube.com/watch?v=pr4BjZkQ5Nc . License : Other . License Terms : Standard YouTube License

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8.7: Analytical Thesis Statements

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Learning Objective

• Describe strategies for writing analytical thesis statements
• Identify analytical thesis statements

In order to write an analysis, you want to first have a solid understanding of the thing you are analyzing. Remember, this means:

• Breaking down information or artifacts into component parts
• Uncovering relationships among those parts
• Determining motives, causes, and underlying assumptions
• Making inferences and finding evidence to support generalizations

You may be asked to analyze a book, an essay, a poem, a movie, or even a song. For example, let’s suppose you want to analyze the lyrics to a popular song. Pretend that a rapper called Escalade has the biggest hit of the summer with a song titled “Missing You.” You listen to the song and determine that it is about the pain people feel when a loved one dies. You have already done analysis at a surface level and you want to begin writing your analysis. You start with the following thesis statement:

“Escalade’s hit song “Missing You” is about being sad after a loved one dies.”

There isn’t much depth or complexity to such a claim because the thesis doesn’t give much information. In order to write a better thesis statement, we need to dig deeper into the song. What is the importance of the lyrics? What are they really about? Why is the song about being sad? Why did he present it this way? Why is it a powerful song? Ask questions to lead you to further investigation. Doing so will help you better understand the work, but also help you develop a better thesis statement and stronger analytical essay.

Formulating an Analytical Thesis Statement

When formulating an analytical thesis statement in college, there are three words/phrases to remember:

• What? What is the claim?
• How? How is this claim supported?
• So what? In other words, “What does this mean, what are the implications, or why is this important?”

Telling readers what the lyrics are might be a useful way to let them see what you are analyzing and/or to isolate specific parts where you are focusing your analysis. However, you need to move far beyond “what.” Instructors at the college level want to see your ability to break down material and demonstrate deep thinking. The claim in the thesis statement above said that Escalade’s song was about being sad, but what evidence do we have for that, and why does that matter?

Effective analytical thesis statements require digging deeper and perhaps examining the larger context. Let’s say you do some research and learn that the rapper’s mother died not long ago, and when you examine the lyrics more closely, you see that a few of the lines seem to be specifically about a mother rather than a loved one in general.

Then you also read a recent interview with Escalade in which he mentions that he’s staying away from hardcore rap lyrics on his new album in an effort to be more mainstream and reach more potential fans. Finally, you notice that some of the lyrics in the song focus on not taking full advantage of the time we have with our loved ones. All of these pieces give you material to write a more complex thesis statement, maybe something like this:

“In the hit song ‘Missing You,’ Escalade draws on his experience of losing his mother and raps about the importance of not taking time with family for granted in order to connect with a broad audience.”

Such a thesis statement is focused while still allowing plenty of room for support in the body of your paper. It addresses the questions posed above:

• The claim is that Escalade connects with a broader audience by rapping about the importance of not taking time with family for granted in his hit song, “Missing You.”
• This claim is supported in the lyrics of the song and through the “experience of losing his mother.”
• The implications are that we should not take valuable things for granted.

Certainly, there may be many ways for you to address “what,” “how,” and “so what,” and you may want to explore other ideas, but the above example is just one way to more fully analyze the material. Note that the example above is not formulaic, but if you need help getting started, you could use this template format to help develop your thesis statement.

Through ________________(how?), we can see that __________________(what?), which is important because ___________________(so what?). [1]

Just remember to think about these questions (what? how? and so what?) as you try to determine why something is what it is or why something means what it means. Asking these questions can help you analyze a song, story, or work of art, and can also help you construct meaningful thesis sentences when you write an analytical paper.

Key Takeaways for analytical theses

Don’t be afraid to let your claim evolve organically . If you find that your thinking and writing don’t stick exactly to the thesis statement you have constructed, your options are to scrap the writing and start again to make it fit your claim (which might not always be possible) or to modify your thesis statement. The latter option can be much easier if you are okay with the changes. As with many projects in life, writing doesn’t always go in the direction we plan, and strong analysis may mean thinking about and making changes as you look more closely at your topic. Be flexible.

Use analysis to get you to the main claim. You may have heard the simile that analysis is like peeling an onion because you have to go through layers to complete your work. You can start the process of breaking down an idea or an artifact without knowing where it will lead you or without a main claim or idea to guide you. Often, careful assessment of the pieces will bring you to an interesting interpretation of the whole. In their text Writing Analytically , authors David Rosenwasser and Jill Stephen posit that being analytical doesn’t mean just breaking something down. It also means constructing understandings. Don’t assume you need to have deeper interpretations all figured out as you start your work.

When you decide upon the main claim, make sure it is reasoned . In other words, if it is very unlikely anyone else would reach the same interpretation you are making, it might be off base. Not everyone needs to see an idea the same way you do, but a reasonable person should be able to understand, if not agree, with your analysis.

Look for analytical thesis statements in the following activity.

https://lumenlearning.h5p.com/content/1290920118213584118/embed

Using Evidence

An effective analytical thesis statement (or claim) may sound smart or slick, but it requires evidence to be fully realized. Consider movie trailers and the actual full-length movies they advertise as an analogy. If you see an exciting one-minute movie trailer online and then go see the film only to leave disappointed because all the good parts were in the trailer, you feel cheated, right? You think you were promised something that didn’t deliver in its execution. A paper with a strong thesis statement but lackluster evidence feels the same way to readers.

So what does strong analytical evidence look like? Think again about “what,” “how,” and “so what.” A claim introduces these interpretations, and evidence lets you show them. Keep in mind that evidence used in writing analytically will build on itself as the piece progresses, much like a good movie builds to an interesting climax.

https://assessments.lumenlearning.co...essments/20272

Key Takeaways about evidence

Be selective about evidence. Having a narrow thesis statement will help you be selective with evidence, but even then, you don’t need to include any and every piece of information related to your main claim. Consider the best points to back up your analytic thesis statement and go deeply into them. (Also, remember that you may modify your thesis statement as you think and write, so being selective about what evidence you use in an analysis may actually help you narrow down what was a broad main claim as you work.) Refer back to our movie theme in this section: You have probably seen plenty of films that would have been better with some parts cut out and more attention paid to intriguing but underdeveloped characters and/or ideas.

Be clear and explicit with your evidence. Don’t assume that readers know exactly what you are thinking. Make your points and explain them in detail, providing information and context for readers, where necessary. Remember that analysis is critical examination and interpretation, but you can’t just assume that others always share or intuit your line of thinking. Need a movie analogy? Think back on all the times you or someone you know has said something like “I’m not sure what is going on in this movie.”

Move past obvious interpretations. Analyzing requires brainpower. Writing analytically is even more difficult. Don’t, however, try to take the easy way out by using obvious evidence (or working from an obvious claim). Many times writers have a couple of great pieces of evidence to support an interesting interpretation, but they feel the need to tack on an obvious idea—often more of an observation than analysis—somewhere in their work. This tendency may stem from the conventions of the five-paragraph essay, which features three points of support. Writing analytically, though, does not mean writing a five-paragraph essay (not much writing in college does). Develop your other evidence further or modify your main idea to allow room for additional strong evidence, but avoid obvious observations as support for your main claim. One last movie comparison? Go take a look at some of the debate on predictable Hollywood scripts. Have you ever watched a movie and felt like you have seen it before? You have, in one way or another. A sharp reader will be about as interested in obvious evidence as he or she will be in seeing a tired script reworked for the thousandth time.

One type of analysis you may be asked to write is a literary analysis, in which you examine a piece of text by breaking it down and looking for common literary elements, such as character, symbolism, plot, setting, imagery, and tone.

The video below compares writing a literary analysis to analyzing a team’s chances of winning a game—just as you would look at various factors like the weather, coaching, players, their record, and their motivation for playing. Similarly, when analyzing a literary text you want to look at all of the literary elements that contribute to the work.

The video takes you through the story of Cinderalla as an example, following the simplest possible angle (or thesis statement), that “Dreams can come true if you don’t give up.” (Note that if you were really asked to analyze Cinderella for a college class, you would want to dig deeper to find a more nuanced and interesting theme, but it works well for this example.) To analyze the story with this theme in mind, you’d want to consider the literary elements such as imagery, characters, dialogue, symbolism, the setting, plot, and tone, and consider how each of these contribute to the message that “Dreams can come true if you don’t give up.”

You can view the transcript for “How to Analyze Literature” here (opens in new window) .

• UCLA Undergraduate Writing Center. "What, How and So What?" Approaching the Thesis as a Process. https://wp.ucla.edu/wp-content/uploads/2016/01/UWC_handouts_What-How-So-What-Thesis-revised-5-4-15-RZ.pdf ↵

Contributors and Attributions

• Keys to Successful Analysis. Authored by : Guy Krueger. Provided by : University of Mississippi. License : CC BY-SA: Attribution-ShareAlike
• Thesis Statement Activity. Authored by : Excelsior OWL. Located at : https://owl.excelsior.edu/research/thesis-or-focus/thesis-or-focus-thesis-statement-activity/ . License : CC BY: Attribution
• What is Analysis?. Authored by : Karen Forgette. Provided by : University of Mississippi. License : CC BY: Attribution
• How to Analyze Literature. Provided by : HACC, Central Pennsylvania's Community College. Located at : https://www.youtube.com/watch?v=pr4BjZkQ5Nc . License : Other . License Terms : Standard YouTube License

beginner's guide to literary analysis

Understanding literature & how to write literary analysis.

Literary analysis is the foundation of every college and high school English class. Once you can comprehend written work and respond to it, the next step is to learn how to think critically and complexly about a work of literature in order to analyze its elements and establish ideas about its meaning.

If that sounds daunting, it shouldn’t. Literary analysis is really just a way of thinking creatively about what you read. The practice takes you beyond the storyline and into the motives behind it. 

While an author might have had a specific intention when they wrote their book, there’s still no right or wrong way to analyze a literary text—just your way. You can use literary theories, which act as “lenses” through which you can view a text. Or you can use your own creativity and critical thinking to identify a literary device or pattern in a text and weave that insight into your own argument about the text’s underlying meaning. 

Now, if that sounds fun, it should , because it is. Here, we’ll lay the groundwork for performing literary analysis, including when writing analytical essays, to help you read books like a critic. 

What Is Literary Analysis?

As the name suggests, literary analysis is an analysis of a work, whether that’s a novel, play, short story, or poem. Any analysis requires breaking the content into its component parts and then examining how those parts operate independently and as a whole. In literary analysis, those parts can be different devices and elements—such as plot, setting, themes, symbols, etcetera—as well as elements of style, like point of view or tone. 

When performing analysis, you consider some of these different elements of the text and then form an argument for why the author chose to use them. You can do so while reading and during class discussion, but it’s particularly important when writing essays. 

Literary analysis is notably distinct from summary. When you write a summary , you efficiently describe the work’s main ideas or plot points in order to establish an overview of the work. While you might use elements of summary when writing analysis, you should do so minimally. You can reference a plot line to make a point, but it should be done so quickly so you can focus on why that plot line matters . In summary (see what we did there?), a summary focuses on the “ what ” of a text, while analysis turns attention to the “ how ” and “ why .”

While literary analysis can be broad, covering themes across an entire work, it can also be very specific, and sometimes the best analysis is just that. Literary critics have written thousands of words about the meaning of an author’s single word choice; while you might not want to be quite that particular, there’s a lot to be said for digging deep in literary analysis, rather than wide. 

Although you’re forming your own argument about the work, it’s not your opinion . You should avoid passing judgment on the piece and instead objectively consider what the author intended, how they went about executing it, and whether or not they were successful in doing so. Literary criticism is similar to literary analysis, but it is different in that it does pass judgement on the work. Criticism can also consider literature more broadly, without focusing on a singular work. 

Once you understand what constitutes (and doesn’t constitute) literary analysis, it’s easy to identify it. Here are some examples of literary analysis and its oft-confused counterparts: 

Summary: In “The Fall of the House of Usher,” the narrator visits his friend Roderick Usher and witnesses his sister escape a horrible fate.  

Opinion: In “The Fall of the House of Usher,” Poe uses his great Gothic writing to establish a sense of spookiness that is enjoyable to read. 

Literary Analysis: “Throughout ‘The Fall of the House of Usher,’ Poe foreshadows the fate of Madeline by creating a sense of claustrophobia for the reader through symbols, such as in the narrator’s inability to leave and the labyrinthine nature of the house. 

In summary, literary analysis is:

• Breaking a work into its components
• Identifying what those components are and how they work in the text
• Developing an understanding of how they work together to achieve a goal 
• Not an opinion, but subjective 
• Not a summary, though summary can be used in passing 
• Best when it deeply, rather than broadly, analyzes a literary element

Literary Analysis and Other Works

As discussed above, literary analysis is often performed upon a single work—but it doesn’t have to be. It can also be performed across works to consider the interplay of two or more texts. Regardless of whether or not the works were written about the same thing, or even within the same time period, they can have an influence on one another or a connection that’s worth exploring. And reading two or more texts side by side can help you to develop insights through comparison and contrast.

For example, Paradise Lost is an epic poem written in the 17th century, based largely on biblical narratives written some 700 years before and which later influenced 19th century poet John Keats. The interplay of works can be obvious, as here, or entirely the inspiration of the analyst. As an example of the latter, you could compare and contrast the writing styles of Ralph Waldo Emerson and Edgar Allan Poe who, while contemporaries in terms of time, were vastly different in their content. 

Additionally, literary analysis can be performed between a work and its context. Authors are often speaking to the larger context of their times, be that social, political, religious, economic, or artistic. A valid and interesting form is to compare the author’s context to the work, which is done by identifying and analyzing elements that are used to make an argument about the writer’s time or experience. 

For example, you could write an essay about how Hemingway’s struggles with mental health and paranoia influenced his later work, or how his involvement in the Spanish Civil War influenced his early work. One approach focuses more on his personal experience, while the other turns to the context of his times—both are valid. 

Why Does Literary Analysis Matter? 

Sometimes an author wrote a work of literature strictly for entertainment’s sake, but more often than not, they meant something more. Whether that was a missive on world peace, commentary about femininity, or an allusion to their experience as an only child, the author probably wrote their work for a reason, and understanding that reason—or the many reasons—can actually make reading a lot more meaningful. 

Performing literary analysis as a form of study unquestionably makes you a better reader. It’s also likely that it will improve other skills, too, like critical thinking, creativity, debate, and reasoning. 

At its grandest and most idealistic, literary analysis even has the ability to make the world a better place. By reading and analyzing works of literature, you are able to more fully comprehend the perspectives of others. Cumulatively, you’ll broaden your own perspectives and contribute more effectively to the things that matter to you. 

Literary Terms to Know for Literary Analysis 

There are hundreds of literary devices you could consider during your literary analysis, but there are some key tools most writers utilize to achieve their purpose—and therefore you need to know in order to understand that purpose. These common devices include: 

• Characters: The people (or entities) who play roles in the work. The protagonist is the main character in the work. 
• Conflict: The conflict is the driving force behind the plot, the event that causes action in the narrative, usually on the part of the protagonist
• Context : The broader circumstances surrounding the work political and social climate in which it was written or the experience of the author. It can also refer to internal context, and the details presented by the narrator 
• Diction : The word choice used by the narrator or characters 
• Genre: A category of literature characterized by agreed upon similarities in the works, such as subject matter and tone
• Imagery : The descriptive or figurative language used to paint a picture in the reader’s mind so they can picture the story’s plot, characters, and setting 
• Metaphor: A figure of speech that uses comparison between two unlike objects for dramatic or poetic effect
• Narrator: The person who tells the story. Sometimes they are a character within the story, but sometimes they are omniscient and removed from the plot. 
• Plot : The storyline of the work
• Point of view: The perspective taken by the narrator, which skews the perspective of the reader 
• Setting : The time and place in which the story takes place. This can include elements like the time period, weather, time of year or day, and social or economic conditions 
• Symbol : An object, person, or place that represents an abstract idea that is greater than its literal meaning 
• Syntax : The structure of a sentence, either narration or dialogue, and the tone it implies
• Theme : A recurring subject or message within the work, often commentary on larger societal or cultural ideas
• Tone : The feeling, attitude, or mood the text presents

How to Perform Literary Analysis

Step 1: read the text thoroughly.

Literary analysis begins with the literature itself, which means performing a close reading of the text. As you read, you should focus on the work. That means putting away distractions (sorry, smartphone) and dedicating a period of time to the task at hand. 

It’s also important that you don’t skim or speed read. While those are helpful skills, they don’t apply to literary analysis—or at least not this stage. 

Step 2: Take Notes as You Read  

As you read the work, take notes about different literary elements and devices that stand out to you. Whether you highlight or underline in text, use sticky note tabs to mark pages and passages, or handwrite your thoughts in a notebook, you should capture your thoughts and the parts of the text to which they correspond. This—the act of noticing things about a literary work—is literary analysis. 

Step 3: Notice Patterns 

As you read the work, you’ll begin to notice patterns in the way the author deploys language, themes, and symbols to build their plot and characters. As you read and these patterns take shape, begin to consider what they could mean and how they might fit together. 

As you identify these patterns, as well as other elements that catch your interest, be sure to record them in your notes or text. Some examples include: 

• Circle or underline words or terms that you notice the author uses frequently, whether those are nouns (like “eyes” or “road”) or adjectives (like “yellow” or “lush”).
• Highlight phrases that give you the same kind of feeling. For example, if the narrator describes an “overcast sky,” a “dreary morning,” and a “dark, quiet room,” the words aren’t the same, but the feeling they impart and setting they develop are similar. 
• Underline quotes or prose that define a character’s personality or their role in the text.
• Use sticky tabs to color code different elements of the text, such as specific settings or a shift in the point of view. 

By noting these patterns, comprehensive symbols, metaphors, and ideas will begin to come into focus.  

Step 4: Consider the Work as a Whole, and Ask Questions

This is a step that you can do either as you read, or after you finish the text. The point is to begin to identify the aspects of the work that most interest you, and you could therefore analyze in writing or discussion. 

Questions you could ask yourself include: 

• What aspects of the text do I not understand?
• What parts of the narrative or writing struck me most?
• What patterns did I notice?
• What did the author accomplish really well?
• What did I find lacking?
• Did I notice any contradictions or anything that felt out of place?  
• What was the purpose of the minor characters?
• What tone did the author choose, and why? 

The answers to these and more questions will lead you to your arguments about the text. 

Step 5: Return to Your Notes and the Text for Evidence

As you identify the argument you want to make (especially if you’re preparing for an essay), return to your notes to see if you already have supporting evidence for your argument. That’s why it’s so important to take notes or mark passages as you read—you’ll thank yourself later!

If you’re preparing to write an essay, you’ll use these passages and ideas to bolster your argument—aka, your thesis. There will likely be multiple different passages you can use to strengthen multiple different aspects of your argument. Just be sure to cite the text correctly! 

If you’re preparing for class, your notes will also be invaluable. When your teacher or professor leads the conversation in the direction of your ideas or arguments, you’ll be able to not only proffer that idea but back it up with textual evidence. That’s an A+ in class participation. 

Step 6: Connect These Ideas Across the Narrative

Whether you’re in class or writing an essay, literary analysis isn’t complete until you’ve considered the way these ideas interact and contribute to the work as a whole. You can find and present evidence, but you still have to explain how those elements work together and make up your argument. 

How to Write a Literary Analysis Essay

When conducting literary analysis while reading a text or discussing it in class, you can pivot easily from one argument to another (or even switch sides if a classmate or teacher makes a compelling enough argument). 

But when writing literary analysis, your objective is to propose a specific, arguable thesis and convincingly defend it. In order to do so, you need to fortify your argument with evidence from the text (and perhaps secondary sources) and an authoritative tone. 

A successful literary analysis essay depends equally on a thoughtful thesis, supportive analysis, and presenting these elements masterfully. We’ll review how to accomplish these objectives below. 

Step 1: Read the Text. Maybe Read It Again. 

Constructing an astute analytical essay requires a thorough knowledge of the text. As you read, be sure to note any passages, quotes, or ideas that stand out. These could serve as the future foundation of your thesis statement. Noting these sections now will help you when you need to gather evidence. 

The more familiar you become with the text, the better (and easier!) your essay will be. Familiarity with the text allows you to speak (or in this case, write) to it confidently. If you only skim the book, your lack of rich understanding will be evident in your essay. Alternatively, if you read the text closely—especially if you read it more than once, or at least carefully revisit important passages—your own writing will be filled with insight that goes beyond a basic understanding of the storyline. 

Step 2: Brainstorm Potential Topics 

Because you took detailed notes while reading the text, you should have a list of potential topics at the ready. Take time to review your notes, highlighting any ideas or questions you had that feel interesting. You should also return to the text and look for any passages that stand out to you. 

When considering potential topics, you should prioritize ideas that you find interesting. It won’t only make the whole process of writing an essay more fun, your enthusiasm for the topic will probably improve the quality of your argument, and maybe even your writing. Just like it’s obvious when a topic interests you in a conversation, it’s obvious when a topic interests the writer of an essay (and even more obvious when it doesn’t). 

Your topic ideas should also be specific, unique, and arguable. A good way to think of topics is that they’re the answer to fairly specific questions. As you begin to brainstorm, first think of questions you have about the text. Questions might focus on the plot, such as: Why did the author choose to deviate from the projected storyline? Or why did a character’s role in the narrative shift? Questions might also consider the use of a literary device, such as: Why does the narrator frequently repeat a phrase or comment on a symbol? Or why did the author choose to switch points of view each chapter? 

Once you have a thesis question , you can begin brainstorming answers—aka, potential thesis statements . At this point, your answers can be fairly broad. Once you land on a question-statement combination that feels right, you’ll then look for evidence in the text that supports your answer (and helps you define and narrow your thesis statement). 

For example, after reading “ The Fall of the House of Usher ,” you might be wondering, Why are Roderick and Madeline twins?, Or even: Why does their relationship feel so creepy?” Maybe you noticed (and noted) that the narrator was surprised to find out they were twins, or perhaps you found that the narrator’s tone tended to shift and become more anxious when discussing the interactions of the twins.

Once you come up with your thesis question, you can identify a broad answer, which will become the basis for your thesis statement. In response to the questions above, your answer might be, “Poe emphasizes the close relationship of Roderick and Madeline to foreshadow that their deaths will be close, too.” 

Step 3: Gather Evidence 

Once you have your topic (or you’ve narrowed it down to two or three), return to the text (yes, again) to see what evidence you can find to support it. If you’re thinking of writing about the relationship between Roderick and Madeline in “The Fall of the House of Usher,” look for instances where they engaged in the text. 

This is when your knowledge of literary devices comes in clutch. Carefully study the language around each event in the text that might be relevant to your topic. How does Poe’s diction or syntax change during the interactions of the siblings? How does the setting reflect or contribute to their relationship? What imagery or symbols appear when Roderick and Madeline are together? 

By finding and studying evidence within the text, you’ll strengthen your topic argument—or, just as valuably, discount the topics that aren’t strong enough for analysis. 

Step 4: Consider Secondary Sources 

In addition to returning to the literary work you’re studying for evidence, you can also consider secondary sources that reference or speak to the work. These can be articles from journals you find on JSTOR, books that consider the work or its context, or articles your teacher shared in class. 

While you can use these secondary sources to further support your idea, you should not overuse them. Make sure your topic remains entirely differentiated from that presented in the source. 

Step 5: Write a Working Thesis Statement

Once you’ve gathered evidence and narrowed down your topic, you’re ready to refine that topic into a thesis statement. As you continue to outline and write your paper, this thesis statement will likely change slightly, but this initial draft will serve as the foundation of your essay. It’s like your north star: Everything you write in your essay is leading you back to your thesis. 

Writing a great thesis statement requires some real finesse. A successful thesis statement is: 

• Debatable : You shouldn’t simply summarize or make an obvious statement about the work. Instead, your thesis statement should take a stand on an issue or make a claim that is open to argument. You’ll spend your essay debating—and proving—your argument. 
• Demonstrable : You need to be able to prove, through evidence, that your thesis statement is true. That means you have to have passages from the text and correlative analysis ready to convince the reader that you’re right. 
• Specific : In most cases, successfully addressing a theme that encompasses a work in its entirety would require a book-length essay. Instead, identify a thesis statement that addresses specific elements of the work, such as a relationship between characters, a repeating symbol, a key setting, or even something really specific like the speaking style of a character. 

Example: By depicting the relationship between Roderick and Madeline to be stifling and almost otherworldly in its closeness, Poe foreshadows both Madeline’s fate and Roderick’s inability to choose a different fate for himself. 

Step 6: Write an Outline 

You have your thesis, you have your evidence—but how do you put them together? A great thesis statement (and therefore a great essay) will have multiple arguments supporting it, presenting different kinds of evidence that all contribute to the singular, main idea presented in your thesis. 

Review your evidence and identify these different arguments, then organize the evidence into categories based on the argument they support. These ideas and evidence will become the body paragraphs of your essay. 

For example, if you were writing about Roderick and Madeline as in the example above, you would pull evidence from the text, such as the narrator’s realization of their relationship as twins; examples where the narrator’s tone of voice shifts when discussing their relationship; imagery, like the sounds Roderick hears as Madeline tries to escape; and Poe’s tendency to use doubles and twins in his other writings to create the same spooky effect. All of these are separate strains of the same argument, and can be clearly organized into sections of an outline. 

Step 7: Write Your Introduction

Your introduction serves a few very important purposes that essentially set the scene for the reader: 

• Establish context. Sure, your reader has probably read the work. But you still want to remind them of the scene, characters, or elements you’ll be discussing. 
• Present your thesis statement. Your thesis statement is the backbone of your analytical paper. You need to present it clearly at the outset so that the reader understands what every argument you make is aimed at. 
• Offer a mini-outline. While you don’t want to show all your cards just yet, you do want to preview some of the evidence you’ll be using to support your thesis so that the reader has a roadmap of where they’re going. 

Step 8: Write Your Body Paragraphs

Thanks to steps one through seven, you’ve already set yourself up for success. You have clearly outlined arguments and evidence to support them. Now it’s time to translate those into authoritative and confident prose. 

When presenting each idea, begin with a topic sentence that encapsulates the argument you’re about to make (sort of like a mini-thesis statement). Then present your evidence and explanations of that evidence that contribute to that argument. Present enough material to prove your point, but don’t feel like you necessarily have to point out every single instance in the text where this element takes place. For example, if you’re highlighting a symbol that repeats throughout the narrative, choose two or three passages where it is used most effectively, rather than trying to squeeze in all ten times it appears. 

While you should have clearly defined arguments, the essay should still move logically and fluidly from one argument to the next. Try to avoid choppy paragraphs that feel disjointed; every idea and argument should feel connected to the last, and, as a group, connected to your thesis. A great way to connect the ideas from one paragraph to the next is with transition words and phrases, such as: 

• Furthermore 
• In addition
• On the other hand
• Conversely 

Step 9: Write Your Conclusion 

Your conclusion is more than a summary of your essay's parts, but it’s also not a place to present brand new ideas not already discussed in your essay. Instead, your conclusion should return to your thesis (without repeating it verbatim) and point to why this all matters. If writing about the siblings in “The Fall of the House of Usher,” for example, you could point out that the utilization of twins and doubles is a common literary element of Poe’s work that contributes to the definitive eeriness of Gothic literature. 

While you might speak to larger ideas in your conclusion, be wary of getting too macro. Your conclusion should still be supported by all of the ideas that preceded it. 

Step 10: Revise, Revise, Revise

Of course you should proofread your literary analysis essay before you turn it in. But you should also edit the content to make sure every piece of evidence and every explanation directly supports your thesis as effectively and efficiently as possible. 

Sometimes, this might mean actually adapting your thesis a bit to the rest of your essay. At other times, it means removing redundant examples or paraphrasing quotations. Make sure every sentence is valuable, and remove those that aren’t. 

Other Resources for Literary Analysis 

With these skills and suggestions, you’re well on your way to practicing and writing literary analysis. But if you don’t have a firm grasp on the concepts discussed above—such as literary devices or even the content of the text you’re analyzing—it will still feel difficult to produce insightful analysis. 

If you’d like to sharpen the tools in your literature toolbox, there are plenty of other resources to help you do so: 

• Check out our expansive library of Literary Devices . These could provide you with a deeper understanding of the basic devices discussed above or introduce you to new concepts sure to impress your professors ( anagnorisis , anyone?). 
• This Academic Citation Resource Guide ensures you properly cite any work you reference in your analytical essay. 
• Our English Homework Help Guide will point you to dozens of resources that can help you perform analysis, from critical reading strategies to poetry helpers. 
• This Grammar Education Resource Guide will direct you to plenty of resources to refine your grammar and writing (definitely important for getting an A+ on that paper). 

Of course, you should know the text inside and out before you begin writing your analysis. In order to develop a true understanding of the work, read through its corresponding SuperSummary study guide . Doing so will help you truly comprehend the plot, as well as provide some inspirational ideas for your analysis.

How To Write an Analytical Essay

If you enjoy exploring topics deeply and thinking creatively, analytical essays could be perfect for you. They involve thorough analysis and clever writing techniques to gain fresh perspectives and deepen your understanding of the subject. In this article, our expert research paper writer will explain what an analytical essay is, how to structure it effectively and provide practical examples. This guide covers all the essentials for your writing success!

What Is an Analytical Essay

An analytical essay involves analyzing something, such as a book, movie, or idea. It relies on evidence from the text to logically support arguments, avoiding emotional appeals or personal stories. Unlike persuasive essays, which argue for a specific viewpoint, a good analytical essay explores all aspects of the topic, considering different perspectives, dissecting arguments, and evaluating evidence carefully. Ultimately, you'll need to present your own stance based on your analysis, synthesize findings, and decide whether you agree with the conclusions or have your own interpretation.

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How to Structure an Analytical Essay

Crafting an excellent paper starts with clear organization and structuring of arguments. An analytical essay structure follows a simple outline: introduction, body, and conclusion.

Introduction: Begin by grabbing the reader's attention and stating the topic clearly. Provide background information, state the purpose of the paper, and hint at the arguments you'll make. The opening sentence should be engaging, such as a surprising fact or a thought-provoking question. Then, present your thesis, summarizing your stance in the essay.

Body Paragraphs: Each paragraph starts with a clear topic sentence guiding the reader and presents evidence supporting the thesis. Focus on one issue per paragraph and briefly restate the main point at the end to transition smoothly to the next one. This ensures clarity and coherence in your argument.

Conclusion: Restate the thesis, summarize key points from the body paragraphs, and offer insights on the significance of the analysis. Provide your thoughts on the topic's importance and how your analysis contributes to it, leaving a lasting impression on the reader.

Meanwhile, you might also be interested in how to write a reflection paper , so check out the article for more information!

How to Write an Analytical Essay in 6 Simple Steps

Once you've got a handle on the structure, you can make writing easier by following some steps. Preparing ahead of time can make the process smoother and improve your essay's flow. Here are some helpful tips from our experts. And if you need it, you can always request our experts to write my essay for me , and we'll handle it promptly.

Step 1: Decide on Your Stance

Before diving into writing, it's crucial to establish your stance on the topic. Let's say you're going to write an analytical essay example about the benefits and drawbacks of remote work. Before you start writing, you need to decide what your opinion or viewpoint is on this topic.

• Do you think remote work offers flexibility and improved work-life balance for employees?
• Or maybe you believe it can lead to feelings of isolation and decreased productivity?

Once you've determined your stance on remote work, it's essential to consider the evidence and arguments supporting your position. Are there statistics or studies that back up your viewpoint? For example, if you believe remote work improves productivity, you might cite research showing increased output among remote workers. On the other hand, if you think it leads to isolation, you could reference surveys or testimonials highlighting the challenges of remote collaboration. Your opinion will shape how you write your essay, so take some time to think about what you believe about remote work before you start writing.

Step 2: Write Your Thesis Statement

Once you've figured out what you think about the topic, it's time to write your thesis statement. This statement is like the main idea or argument of your essay.

If you believe that remote work offers significant benefits, your thesis statement might be: 'Remote work presents an opportunity for increased flexibility and work-life balance, benefiting employees and employers alike in today's interconnected world.'

Alternatively, if you believe that remote work has notable drawbacks, your thesis statement might be: 'While remote work offers flexibility, it can also lead to feelings of isolation and challenges in collaboration, necessitating a balanced approach to its implementation.'

Your thesis statement guides the rest of your analytical essay, so make sure it clearly expresses your viewpoint on the benefits and drawbacks of remote work.

Step 3: Write Topic Sentences

After you have your thesis statement about the benefits and drawbacks of remote work, you need to come up with topic sentences for each paragraph while writing an analytical essay. These sentences introduce the main point of each paragraph and help to structure your essay.

Let's say your first paragraph is about the benefits of remote work. Your topic sentence might be: 'Remote work offers employees increased flexibility and autonomy, enabling them to better manage their work-life balance.'

For the next paragraph discussing the drawbacks of remote work, your topic sentence could be: 'However, remote work can also lead to feelings of isolation and difficulties in communication and collaboration with colleagues.'

And for the paragraph about potential solutions to the challenges of remote work, your topic sentence might be: 'To mitigate the drawbacks of remote work, companies can implement strategies such as regular check-ins, virtual team-building activities, and flexible work arrangements.'

Each topic sentence should relate back to your thesis statement about the benefits and drawbacks of remote work and provide a clear focus for the paragraph that follows.

Step 4: Create an Outline

Now that you have your thesis statement and topic sentences, it's time to create an analytical essay outline to ensure your essay flows logically. Here's an outline prepared by our analytical essay writer based on the example of discussing the benefits and drawbacks of remote work:

Step 5: Write Your First Draft

Now that you have your outline, it's time to start writing your first draft. Begin by expanding upon each point in your outline, making sure to connect your ideas smoothly and logically. Don't worry too much about perfection at this stage; the goal is to get your ideas down on paper. You can always revise and polish your draft later.

As you write, keep referring back to your thesis statement to ensure that your arguments align with your main argument. Additionally, make sure each paragraph flows naturally into the next, maintaining coherence throughout your essay.

Once you've completed your first draft, take a break and then come back to review and revise it. Look for areas where you can strengthen your arguments, clarify your points, and improve the overall structure and flow of your essay.

Remember, writing is a process, and it's okay to go through multiple drafts before you're satisfied with the final result. Take your time and be patient with yourself as you work towards creating a well-crafted essay on the benefits and drawbacks of remote work.

Step 6: Revise and Proofread

Once you've completed your first draft, it's essential to revise and proofread your essay to ensure clarity, coherence, and correctness. Here's how to approach this step:

• Check if your ideas make sense and if they support your main point.
• Make sure your writing style stays the same and your format follows the rules.
• Double-check your facts and make sure you've covered everything important.
• Cut out any extra words and make your sentences clear and short.
• Look for mistakes in spelling and grammar.
• Ask someone to read your essay and give you feedback.

What is the Purpose of an Analytical Essay?

Analytical essays aim to analyze texts or topics, presenting a clear argument. They deepen understanding by evaluating evidence and uncovering underlying meanings. These essays promote critical thinking, challenging readers to consider different viewpoints.

They're also great for improving critical thinking skills. By breaking down complex ideas and presenting them clearly, they encourage readers to think for themselves and reach their own conclusions.

This type of essay also adds to academic discussions by offering fresh insights. By analyzing existing research and literature, they bring new perspectives or shine a light on overlooked parts of a topic. This keeps academic conversations lively and encourages more exploration in the field.

Analytical Essay Examples

Check out our essay samples to see theory in action. Crafted by our dissertation services , they show how analytical thinking applies to real situations, helping you understand concepts better.

With our tips on how to write an analytical essay, you're ready to boost your writing skills and craft essays that captivate your audience. With practice, you'll become a pro at analytical writing, ready to tackle any topic with confidence. And, if you need help to buy essay online , just drop us a line saying ' do my homework for me ' and we'll jump right in!

Do Analytical Essays Tend to Intimidate You?

Give us your assignment to uncover a deeper understanding of your chosen analytical essay topic!

How to Write an Analytical Essay?

What is an analytical essay.

Daniel Parker

is a seasoned educational writer focusing on scholarship guidance, research papers, and various forms of academic essays including reflective and narrative essays. His expertise also extends to detailed case studies. A scholar with a background in English Literature and Education, Daniel’s work on EssayPro blog aims to support students in achieving academic excellence and securing scholarships. His hobbies include reading classic literature and participating in academic forums.

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.

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31 Interpretation In Qualitative Research: What, Why, How

Allen Trent, College of Education, University of Wyoming

Jeasik Cho, Department of Educational Studies, University of Wyoming

• Published: 02 September 2020
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This chapter addresses a wide range of concepts related to interpretation in qualitative research, examines the meaning and importance of interpretation in qualitative inquiry, and explores the ways methodology, data, and the self/researcher as instrument interact and impact interpretive processes. Additionally, the chapter presents a series of strategies for qualitative researchers engaged in the process of interpretation and closes by presenting a framework for qualitative researchers designed to inform their interpretations. The framework includes attention to the key qualitative research concepts transparency, reflexivity, analysis, validity, evidence, and literature. Four questions frame the chapter: What is interpretation, and why are interpretive strategies important in qualitative research? How do methodology, data, and the researcher/self impact interpretation in qualitative research? How do qualitative researchers engage in the process of interpretation? And, in what ways can a framework for interpretation strategies support qualitative researchers across multiple methodologies and paradigms?

“ All human knowledge takes the form of interpretation.” In this seemingly simple statement, the late German philosopher Walter Benjamin asserted that all knowledge is mediated and constructed. In doing so, he situates himself as an interpretivist, one who believes that human subjectivity, individuals’ characteristics, feelings, opinions, and experiential backgrounds impact observations, analysis of these observations, and resultant knowledge/truth constructions. Hammersley ( 2013 ) noted,

People—unlike atoms … actively interpret or make sense of their environment and of themselves; the ways in which they do this are shaped by the particular cultures in which they live; and these distinctive cultural orientations will strongly influence not only what they believe but also what they do. (p. 26)

Contrast this perspective with positivist claims that knowledge is based exclusively on external facts, objectively observed and recorded. Interpretivists, then, acknowledge that if positivistic notions of knowledge and truth are inadequate to explain social phenomena, then positivist, hard science approaches to research (i.e., the scientific method and its variants) are also inadequate and can even have a detrimental impact. According to Polyani (1967), “The ideal of exact science would turn out to be fundamentally misleading and possibly a source of devastating fallacies” (as cited in Packer, 2018 , p. 71). So, although the literature often contrasts quantitative and qualitative research as largely a difference in kinds of data employed (numerical vs. linguistic), instead, the primary differentiation is in the foundational, paradigmatic assumptions about truth, knowledge, and objectivity.

This chapter is about interpretation and the strategies that qualitative researchers use to interpret a wide variety of “texts.” Knowledge, we assert, is constructed, both individually (constructivism) and socially (constructionism). We accept this as our starting point. Our aim here is to share our perspective on a broad set of concepts associated with the interpretive, or meaning-making, process. Although it may happen at different times and in different ways, interpretation is part of almost all qualitative research.

Qualitative research is an umbrella term that encompasses a wide array of paradigmatic views, goals, and methods. Still, there are key unifying elements that include a generally constructionist epistemological standpoint, attention to primarily linguistic data, and generally accepted protocols or syntax for conducting research. Typically, qualitative researchers begin with a starting point—a curiosity, a problem in need of solutions, a research question, and/or a desire to better understand a situation from the “native” perspectives of the individuals who inhabit that context. This is what anthropologists call the emic , or insider’s, perspective. Olivier de Sardan ( 2015 ) wrote, “It evokes the meaning that social facts have for the actors concerned. It is opposed to the term etic , which, at times, designates more external or ‘objective’ data, and, at others, the researcher’s interpretive analysis” (p. 65).

From this starting point, researchers determine the appropriate kinds of data to collect, engage in fieldwork as participant observers to gather these data, organize the data, look for patterns, and attempt to understand the emic perspectives while integrating their own emergent interpretations. Researchers construct meaning from data by synthesizing research “findings,” “assertions,” or “theories” that can be shared so that others may also gain insights from the conducted inquiry. This interpretive process has a long history; hermeneutics, the theory of interpretation, blossomed in the 17th century in the form of biblical exegesis (Packer, 2018 ).

Although there are commonalities that cut across most forms of qualitative research, this is not to say that there is an accepted, linear, standardized approach. To be sure, there are an infinite number of variations and nuances in the qualitative research process. For example, some forms of inquiry begin with a firm research question; others start without even a clear focus for study. Grounded theorists begin data analysis and interpretation very early in the research process, whereas some case study researchers, for example, may collect data in the field for a period of time before seriously considering the data and its implications. Some ethnographers may be a part of the context (e.g., observing in classrooms), but they may assume more observer-like roles, as opposed to actively participating in the context. Alternatively, action researchers, in studying issues related to their own practice, are necessarily situated toward the participant end of the participant–observer continuum.

Our focus here is on one integrated part of the qualitative research process, interpretation, the hermeneutic process of collective and individual “meaning making.” Like Willig ( 2017 ), we believe “interpretation is at the heart of qualitative research because qualitative research is concerned with meaning and the process of meaning-making … qualitative data … needs to be given meaning by the researcher” (p. 276). As we discuss throughout this chapter, researchers take a variety of approaches to interpretation in qualitative work. Four general questions guide our explorations:

What is interpretation, and why are interpretive strategies important in qualitative research?

How do methodology, data, and the researcher/self impact interpretation in qualitative research?

How do qualitative researchers engage in the process of interpretation?

In what ways can a framework for interpretation strategies support qualitative researchers across multiple methodological and paradigmatic views?

We address each of these guiding questions in our attempt to explicate our interpretation of “interpretation” and, as educational researchers, we include examples from our own work to illustrate some key concepts.

What Is Interpretation, and Why Are Interpretive Strategies Important in Qualitative Research?

Qualitative researchers and those writing about qualitative methods often intertwine the terms analysis and interpretation . For example, Hubbard and Power ( 2003 ) described data analysis as “bringing order, structure, and meaning to the data” (p. 88). To us, this description combines analysis with interpretation. Although there is nothing wrong with this construction, our understanding aligns more closely with Mills’s ( 2018 ) claim that, “put simply, analysis involves summarizing what’s in the data, whereas interpretation involves making sense of—finding meaning in—that data” (p. 176). Hesse-Biber ( 2017 ) also separated out the essential process of interpretation. She described the steps in qualitative analysis and interpretation as data preparation, data exploration, and data reduction (all part of Mills’s “analysis” processes), followed by interpretation (pp. 307–328). Willig ( 2017 ) elaborated: analysis, she claims, is “sober and systematic,” whereas interpretation is associated with “creativity and the imagination … interpretation is seen as stimulating, it is interesting and it can be illuminating” (p. 276). For the purpose of this chapter, we will adhere to Mills’s distinction, understanding analysis as summarizing and organizing and interpretation as meaning making. Unavoidably, these closely related processes overlap and interact, but our focus will be primarily on the more complex of these endeavors, interpretation. Interpretation, in this sense, is in part translation, but translation is not an objective act. Instead, translation necessarily involves selectivity and the ascribing of meaning. Qualitative researchers “aim beneath manifest behavior to the meaning events have for those who experience them” (Eisner, 1991 , p. 35). The presentation of these insider/emic perspectives, coupled with researchers’ own interpretations, is a hallmark of qualitative research.

Qualitative researchers have long borrowed from extant models for fieldwork and interpretation. Approaches from anthropology and the arts have become especially prominent. For example, Eisner’s ( 1991 ) form of qualitative inquiry, educational criticism , draws heavily on accepted models of art criticism. T. Barrett ( 2011 ), an authority on art criticism, described interpretation as a complex set of processes based on a set of principles. We believe many of these principles apply as readily to qualitative research as they do to critique. The following principles, adapted from T. Barrett’s principles of interpretation (2011), inform our examination:

Qualitative phenomena have “aboutness” : All social phenomena have meaning, but meanings in this context can be multiple, even contradictory.

Interpretations are persuasive arguments : All interpretations are arguments, and qualitative researchers, like critics, strive to build strong arguments grounded in the information, or data, available.

  Some interpretations are better than others : Barrett noted that “some interpretations are better argued, better grounded with evidence, and therefore more reasonable, more certain, and more acceptable than others.” This contradicts the argument that “all interpretations are equal,” heard in the common refrain, “Well, that’s just your interpretation.”

There can be different, competing, and contradictory interpretations of the same phenomena : As noted at the beginning of this chapter, we acknowledge that subjectivity matters, and, unavoidably, it impacts one’s interpretations. As Barrett noted, “Interpretations are often based on a worldview.”

Interpretations are not (and cannot be) “right,” but instead, they can be more or less reasonable, convincing, and informative : There is never one “true” interpretation, but some interpretations are more compelling than others.

Interpretations can be judged by coherence, correspondence, and inclusiveness : Does the argument/interpretation make sense (coherence)? Does the interpretation fit the data (correspondence)? Have all data been attended to, including outlier data that do not necessarily support identified themes (inclusiveness)?

Interpretation is ultimately a communal endeavor : Initial interpretations may be incomplete, nearsighted, and/or narrow, but eventually these interpretations become richer, broader, and more inclusive. Feminist revisionist history projects are an exemplary case. Over time, the writing, art, and cultural contributions of countless women, previously ignored, diminished, or distorted, have come to be accepted as prominent contributions given serious consideration.

So, meaning is conferred; interpretations are socially constructed arguments; multiple interpretations are to be expected; and some interpretations are better than others. As we discuss later in this chapter, what makes an interpretation “better” often hinges on the purpose/goals of the research in question. Interpretations designed to generate theory, or generalizable rules, will be better for responding to research questions aligned with the aims of more traditional quantitative/positivist research, whereas interpretations designed to construct meanings through social interaction, to generate multiple perspectives, and to represent the context-specific perspectives of the research participants are better for researchers constructing thick, contextually rich descriptions, stories, or narratives. The former relies on more atomistic interpretive strategies, whereas the latter adheres to a more holistic approach (Willis, 2007 ). Both approaches to analysis/interpretation are addressed in more detail later in this chapter.

At this point, readers might ask, Why does interpretation matter, anyway? Our response to this question involves the distinctive nature of interpretation and the ability of the interpretive process to put unique fingerprints on an otherwise relatively static set of data. Once interview data are collected and transcribed (and we realize that even the process of transcription is, in part, interpretive), documents are collected, and observations are recorded, qualitative researchers could just, in good faith and with fidelity, represent the data in as straightforward ways as possible, allowing readers to “see for themselves” by sharing as much actual data (e.g., the transcribed words of the research participants) as possible. This approach, however, includes analysis, what we have defined as summarizing and organizing data for presentation, but it falls short of what we reference and define as interpretation—attempting to explain the meaning of others’ words and actions. According to Lichtman ( 2013 ),

While early efforts at qualitative research might have stopped at description, it is now more generally accepted that a qualitative researcher goes beyond pure description.… Many believe that it is the role of the researcher to bring understanding, interpretation, and meaning. (p. 17)

Because we are fond of the arts and arts-based approaches to qualitative research, an example from the late jazz drummer, Buddy Rich, seems fitting. Rich explains the importance of having the flexibility to interpret: “I don’t think any arranger should ever write a drum part for a drummer, because if a drummer can’t create his own interpretation of the chart, and he plays everything that’s written, he becomes mechanical; he has no freedom.” The same is true for qualitative researchers: without the freedom to interpret, the researcher merely regurgitates, attempting to share with readers/reviewers exactly what the research subjects shared with him or her. It is only through interpretation that the researcher, as collaborator with unavoidable subjectivities, is able to construct unique, contextualized meaning. Interpretation, then, in this sense, is knowledge construction.

In closing this section, we will illustrate the analysis-versus-interpretation distinction with the following transcript excerpt. In this study, the authors (Trent & Zorko, 2006 ) were studying student teaching from the perspective of K–12 students. This quote comes from a high school student in a focus group interview. She is describing a student teacher she had:

The right-hand column contains codes or labels applied to parts of the transcript text. Coding will be discussed in more depth later in this chapter, but for now, note that the codes are mostly summarizing the main ideas of the text, sometimes using the exact words of the research participant. This type of coding is a part of what we have called analysis—organizing and summarizing the data. It is a way of beginning to say “what is” there. As noted, though, most qualitative researchers go deeper. They want to know more than what is; they also ask, What does it mean? This is a question of interpretation.

Specific to the transcript excerpt, researchers might next begin to cluster the early codes into like groups. For example, the teacher “felt targeted,” “assumed kids were going to behave inappropriately,” and appeared to be “overwhelmed.” A researcher might cluster this group of codes in a category called “teacher feelings and perceptions” and may then cluster the codes “could not control class” and “students off task” into a category called “classroom management.” The researcher then, in taking a fresh look at these categories and the included codes, may begin to conclude that what is going on in this situation is that the student teacher does not have sufficient training in classroom management models and strategies and may also be lacking the skills she needs to build relationships with her students. These then would be interpretations, persuasive arguments connected to the study’s data. In this specific example, the researchers might proceed to write a memo about these emerging interpretations. In this memo, they might more clearly define their early categories and may also look through other data to see if there are other codes or categories that align with or overlap this initial analysis. They may write further about their emergent interpretations and, in doing so, may inform future data collection in ways that will allow them to either support or refute their early interpretations. These researchers will also likely find that the processes of analysis and interpretation are inextricably intertwined. Good interpretations very often depend on thorough and thoughtful analyses.

How Do Methodology, Data, and the Researcher/Self Impact Interpretation in Qualitative Research?

Methodological conventions guide interpretation and the use of interpretive strategies. For example, in grounded theory and in similar methodological traditions, “formal analysis begins early in the study and is nearly completed by the end of data collection” (Bogdan & Biklen, 2007 , p. 73). Alternatively, for researchers from other traditions, for example, case study researchers, “formal analysis and theory development [interpretation] do not occur until after the data collection is near complete” (p. 73).

Researchers subscribing to methodologies that prescribe early data analysis and interpretation may employ methods like analytic induction or the constant comparison method. In using analytic induction, researchers develop a rough definition of the phenomena under study; collect data to compare to this rough definition; modify the definition as needed, based on cases that both fit and do not fit the definition; and, finally, establish a clear, universal definition (theory) of the phenomena (Robinson, 1951, cited in Bogdan & Biklen, 2007 , p. 73). Generally, those using a constant comparison approach begin data collection immediately; identify key issues, events, and activities related to the study that then become categories of focus; collect data that provide incidents of these categories; write about and describe the categories, accounting for specific incidents and seeking others; discover basic processes and relationships; and, finally, code and write about the categories as theory, “grounded” in the data (Glaser, 1965 ). Although processes like analytic induction and constant comparison can be listed as steps to follow, in actuality, these are more typically recursive processes in which the researcher repeatedly goes back and forth between the data and emerging analyses and interpretations.

In addition to methodological conventions that prescribe data analysis early (e.g., grounded theory) or later (e.g., case study) in the inquiry process, methodological approaches also impact the general approach to analysis and interpretation. Ellingson ( 2011 ) situated qualitative research methodologies on a continuum spanning “science”-like approaches on one end juxtaposed with “art”-like approaches on the other.

Researchers pursuing a more science-oriented approach seek valid, reliable, generalizable knowledge; believe in neutral, objective researchers; and ultimately claim single, authoritative interpretations. Researchers adhering to these science-focused, postpositivistic approaches may count frequencies, emphasize the validity of the employed coding system, and point to intercoder reliability and random sampling as criteria that bolster the research credibility. Researchers at or near the science end of the continuum might employ analysis and interpretation strategies that include “paired comparisons,” “pile sorts,” “word counts,” identifying “key words in context,” and “triad tests” (Bernard, Wutich, & Ryan, 2017 , pp. 112, 381, 113, 170). These researchers may ultimately seek to develop taxonomies or other authoritative final products that organize and explain the collected data.

For example, in a study we conducted about preservice teachers’ experiences learning to teach second-language learners, the researchers collected larger data sets and used a statistical analysis package to analyze survey data, and the resultant findings included descriptive statistics. These survey results were supported with open-ended, qualitative data. For example, one of the study’s findings was that “a strong majority of candidates (96%) agreed that an immersion approach alone will not guarantee academic or linguistic success for second language learners.” In narrative explanations, one preservice teacher, representative of many others, remarked, “There has to be extra instructional efforts to help their students learn English … they won’t learn English by merely sitting in the classrooms” (Cho, Rios, Trent, & Mayfield, 2012 , p. 75).

Methodologies on the art side of Ellingson’s ( 2011 ) continuum, alternatively, “value humanistic, openly subjective knowledge, such as that embodied in stories, poetry, photography, and painting” (p. 599). Analysis and interpretation in these (often more contemporary) methodological approaches do not strive for “social scientific truth,” but instead are formulated to “enable us to learn about ourselves, each other, and the world through encountering the unique lens of a person’s (or a group’s) passionate rendering of a reality into a moving, aesthetic expression of meaning” (p. 599). For these “artistic/interpretivists, truths are multiple, fluctuating and ambiguous” (p. 599). Methodologies taking more subjective approaches to analysis and interpretation include autoethnography, testimonio, performance studies, feminist theorists/researchers, and others from related critical methodological forms of qualitative practice. More specifically arts-based approaches include poetic inquiry, fiction-based research, music as method, and dance and movement as inquiry (Leavy, 2017 ). Interpretation in these approaches is inherent. For example, “ interpretive poetry is understood as a method of merging the participant’s words with the researcher’s perspective” (Leavy, 2017 , p. 82).

As an example, one of us engaged in an artistic inquiry with a group of students in an art class for elementary teachers. We called it “Dreams as Data” and, among the project aims, we wanted to gather participants’ “dreams for education in the future” and display these dreams in an accessible, interactive, artistic display (see Trent, 2002 ). The intent was not to statistically analyze the dreams/data; instead, it was more universal. We wanted, as Ellingson ( 2011 , p. 599) noted, to use participant responses in ways that “enable us to learn about ourselves, each other, and the world.” The decision was made to leave responses intact and to share the whole/raw data set in the artistic display in ways that allowed the viewers to holistically analyze and interpret for themselves. Additionally, the researcher (Trent, 2002 ) collaborated with his students to construct their own contextually situated interpretations of the data. The following text is an excerpt from one participant’s response:

Almost a century ago, John Dewey eloquently wrote about the need to imagine and create the education that ALL children deserve, not just the richest, the Whitest, or the easiest to teach. At the dawn of this new century, on some mornings, I wake up fearful that we are further away from this ideal than ever.… Collective action, in a critical, hopeful, joyful, anti-racist and pro-justice spirit, is foremost in my mind as I reflect on and act in my daily work.… Although I realize the constraints on teachers and schools in the current political arena, I do believe in the power of teachers to stand next to, encourage, and believe in the students they teach—in short, to change lives. (Trent, 2002 , p. 49)

In sum, researchers whom Ellingson ( 2011 ) characterized as being on the science end of the continuum typically use more detailed or atomistic strategies to analyze and interpret qualitative data, whereas those toward the artistic end most often employ more holistic strategies. Both general approaches to qualitative data analysis and interpretation, atomistic and holistic, will be addressed later in this chapter.

As noted, qualitative researchers attend to data in a wide variety of ways depending on paradigmatic and epistemological beliefs, methodological conventions, and the purpose/aims of the research. These factors impact the kinds of data collected and the ways these data are ultimately analyzed and interpreted. For example, life history or testimonio researchers conduct extensive individual interviews, ethnographers record detailed observational notes, critical theorists may examine documents from pop culture, and ethnomethodologists may collect videotapes of interaction for analysis and interpretation.

In addition to the wide range of data types that are collected by qualitative researchers (and most qualitative researchers collect multiple forms of data), qualitative researchers, again influenced by the factors noted earlier, employ a variety of approaches to analyzing and interpreting data. As mentioned earlier in this chapter, some advocate for a detailed/atomistic, fine-grained approach to data (see, e.g., Bernard et al., 2017 ); others prefer a more broad-based, holistic, “eyeballing” of the data. According to Willis ( 2007 ), “Eyeballers reject the more structured approaches to analysis that break down the data into small units and, from the perspective of the eyeballers, destroy the wholeness and some of the meaningfulness of the data” (p. 298).

Regardless, we assert, as illustrated in Figure 31.1 , that as the process evolves, data collection becomes less prominent later in the process, as interpretation and making sense/meaning of the data becomes more prominent. It is through this emphasis on interpretation that qualitative researchers put their individual imprints on the data, allowing for the emergence of multiple, rich perspectives. This space for interpretation allows researchers the freedom Buddy Rich alluded to in his quote about interpreting musical charts. Without this freedom, Rich noted that the process would simply be “mechanical.” Furthermore, allowing space for multiple interpretations nourishes the perspectives of many others in the community. Writer and theorist Meg Wheatley explained, “Everyone in a complex system has a slightly different interpretation. The more interpretations we gather, the easier it becomes to gain a sense of the whole.” In qualitative research, “there is no ‘getting it right’ because there could be many ‘rights’ ” (as cited in Lichtman, 2013 ).

Increasing Role of Interpretation in Data Analysis

In addition to the roles methodology and data play in the interpretive process, perhaps the most important is the role of the self/the researcher in the interpretive process. According to Lichtman ( 2013 ), “Data are collected, information is gathered, settings are viewed, and realities are constructed through his or her eyes and ears … the qualitative researcher interprets and makes sense of the data” (p. 21). Eisner ( 1991 ) supported the notion of the researcher “self as instrument,” noting that expert researchers know not simply what to attend to, but also what to neglect. He describes the researcher’s role in the interpretive process as combining sensibility , the ability to observe and ascertain nuances, with schema , a deep understanding or cognitive framework of the phenomena under study.

J. Barrett ( 2007 ) described self/researcher roles as “transformations” (p. 418) at multiple points throughout the inquiry process: early in the process, researchers create representations through data generation, conducting observations and interviews and collecting documents and artifacts. Then,

transformation occurs when the “raw” data generated in the field are shaped into data records by the researcher. These data records are produced through organizing and reconstructing the researcher’s notes and transcribing audio and video recordings in the form of permanent records that serve as the “evidentiary warrants” of the generated data. The researcher strives to capture aspects of the phenomenal world with fidelity by selecting salient aspects to incorporate into the data record. (J. Barrett, 2007 , p. 418)

Transformation continues when the researcher codes, categorizes, and explores patterns in the data (the process we call analysis).

Transformations also involve interpreting what the data mean and relating these interpretations to other sources of insight about the phenomena, including findings from related research, conceptual literature, and common experience.… Data analysis and interpretation are often intertwined and rely upon the researcher’s logic, artistry, imagination, clarity, and knowledge of the field under study. (J. Barrett, 2007 , p. 418)

We mentioned the often-blended roles of participation and observation earlier in this chapter. The role(s) of the self/researcher are often described as points along a participant–observer continuum (see, e.g., Bogdan & Biklen, 2007 ). On the far observer end of this continuum, the researcher situates as detached, tries to be inconspicuous (so as not to impact/disrupt the phenomena under study), and approaches the studied context as if viewing it from behind a one-way mirror. On the opposite, participant end, the researcher is completely immersed and involved in the context. It would be difficult for an outsider to distinguish between researcher and subjects. For example, “some feminist researchers and postmodernists take a political stance and have an agenda that places the researcher in an activist posture. These researchers often become quite involved with the individuals they study and try to improve their human condition” (Lichtman, 2013 , p. 17).

We assert that most researchers fall somewhere between these poles. We believe that complete detachment is both impossible and misguided. In doing so, we, along with many others, acknowledge (and honor) the role of subjectivity, the researcher’s beliefs, opinions, biases, and predispositions. Positivist researchers seeking objective data and accounts either ignore the impact of subjectivity or attempt to drastically diminish/eliminate its impact. Even qualitative researchers have developed methods to avoid researcher subjectivity affecting research data collection, analysis, and interpretation. For example, foundational phenomenologist Husserl ( 1913/1962 ) developed the concept of bracketing , what Lichtman describes as “trying to identify your views on the topic and then putting them aside” (2013, p. 22). Like Slotnick and Janesick ( 2011 ), we ultimately claim “it is impossible to bracket yourself” (p. 1358). Instead, we take a balanced approach, like Eisner, understanding that subjectivity allows researchers to produce the rich, idiosyncratic, insightful, and yet data-based interpretations and accounts of lived experience that accomplish the primary purposes of qualitative inquiry. Eisner ( 1991 ) wrote, “Rather than regarding uniformity and standardization as the summum bonum, educational criticism [Eisner’s form of qualitative research] views unique insight as the higher good” (p. 35). That said, we also claim that, just because we acknowledge and value the role of researcher subjectivity, researchers are still obligated to ground their findings in reasonable interpretations of the data. Eisner ( 1991 ) explained:

This appreciation for personal insight as a source of meaning does not provide a license for freedom. Educational critics must provide evidence and reasons. But they reject the assumption that unique interpretation is a conceptual liability in understanding, and they see the insights secured from multiple views as more attractive than the comforts provided by a single right one. (p. 35)

Connected to this participant–observer continuum is the way the researcher positions him- or herself in relation to the “subjects” of the study. Traditionally, researchers, including early qualitative researchers, anthropologists, and ethnographers, referenced those studied as subjects . More recently, qualitative researchers better understand that research should be a reciprocal process in which both researcher and the foci of the research should derive meaningful benefit. Researchers aligned with this thinking frequently use the term participants to describe those groups and individuals included in a study. Going a step further, some researchers view research participants as experts on the studied topic and as equal collaborators in the meaning-making process. In these instances, researchers often use the terms co-researchers or co-investigators .

The qualitative researcher, then, plays significant roles throughout the inquiry process. These roles include transforming data, collaborating with research participants or co-researchers, determining appropriate points to situate along the participant–observer continuum, and ascribing personal insights, meanings, and interpretations that are both unique and justified with data exemplars. Performing these roles unavoidably impacts and changes the researcher. Slotnick and Janesick ( 2011 ) noted, “Since, in qualitative research the individual is the research instrument through which all data are passed, interpreted, and reported, the scholar’s role is constantly evolving as self evolves” (p. 1358).

As we note later, key in all this is for researchers to be transparent about the topics discussed in the preceding section: What methodological conventions have been employed and why? How have data been treated throughout the inquiry to arrive at assertions and findings that may or may not be transferable to other idiosyncratic contexts? And, finally, in what ways has the researcher/self been situated in and impacted the inquiry? Unavoidably, we assert, the self lies at the critical intersection of data and theory, and, as such, two legs of this stool, data and researcher, interact to create the third, theory.

How Do Qualitative Researchers Engage in the Process of Interpretation?

Theorists seem to have a propensity to dichotomize concepts, pulling them apart and placing binary opposites on the far ends of conceptual continuums. Qualitative research theorists are no different, and we have already mentioned some of these continua in this chapter. For example, in the previous section, we discussed the participant–observer continuum. Earlier, we referenced both Willis’s ( 2007 ) conceptualization of atomistic versus holistic approaches to qualitative analysis and interpretation and Ellingson’s ( 2011 ) science–art continuum. Each of these latter two conceptualizations inform how qualitative researchers engage in the process of interpretation.

Willis ( 2007 ) shared that the purpose of a qualitative project might be explained as “what we expect to gain from research” (p. 288). The purpose, or what we expect to gain, then guides and informs the approaches researchers might take to interpretation. Some researchers, typically positivist/postpositivist, conduct studies that aim to test theories about how the world works and/or how people behave. These researchers attempt to discover general laws, truths, or relationships that can be generalized. Others, less confident in the ability of research to attain a single, generalizable law or truth, might seek “local theory.” These researchers still seek truths, but “instead of generalizable laws or rules, they search for truths about the local context … to understand what is really happening and then to communicate the essence of this to others” (Willis, 2007 , p. 291). In both these purposes, researchers employ atomistic strategies in an inductive process in which researchers “break the data down into small units and then build broader and broader generalizations as the data analysis proceeds” (p. 317). The earlier mentioned processes of analytic induction, constant comparison, and grounded theory fit within this conceptualization of atomistic approaches to interpretation. For example, a line-by-line coding of a transcript might begin an atomistic approach to data analysis.

Alternatively, other researchers pursue distinctly different aims. Researchers with an objective description purpose focus on accurately describing the people and context under study. These researchers adhere to standards and practices designed to achieve objectivity, and their approach to interpretation falls within the binary atomistic/holistic distinction.

The purpose of hermeneutic approaches to research is to “understand the perspectives of humans. And because understanding is situational, hermeneutic research tends to look at the details of the context in which the study occurred. The result is generally rich data reports that include multiple perspectives” (Willis, 2007 , p. 293).

Still other researchers see their purpose as the creation of stories or narratives that utilize “a social process that constructs meaning through interaction … it is an effort to represent in detail the perspectives of participants … whereas description produces one truth about the topic of study, storytelling may generate multiple perspectives, interpretations, and analyses by the researcher and participants” (Willis, 2007 , p. 295).

In these latter purposes (hermeneutic, storytelling, narrative production), researchers typically employ more holistic strategies. According to Willis ( 2007 ), “Holistic approaches tend to leave the data intact and to emphasize that meaning must be derived for a contextual reading of the data rather than the extraction of data segments for detailed analysis” (p. 297). This was the case with the Dreams as Data project mentioned earlier.

We understand the propensity to dichotomize, situate concepts as binary opposites, and create neat continua between these polar descriptors. These sorts of reduction and deconstruction support our understandings and, hopefully, enable us to eventually reconstruct these ideas in meaningful ways. Still, in reality, we realize most of us will, and should, work in the middle of these conceptualizations in fluid ways that allow us to pursue strategies, processes, and theories most appropriate for the research task at hand. As noted, Ellingson ( 2011 ) set up another conceptual continuum, but, like ours, her advice was to “straddle multiple points across the field of qualitative methods” (p. 595). She explained, “I make the case for qualitative methods to be conceptualized as a continuum anchored by art and science, with vast middle spaces that embody infinite possibilities for blending artistic, expository, and social scientific ways of analysis and representation” (p. 595).

We explained at the beginning of this chapter that we view analysis as organizing and summarizing qualitative data and interpretation as constructing meaning. In this sense, analysis allows us to describe the phenomena under study. It enables us to succinctly answer what and how questions and ensures that our descriptions are grounded in the data collected. Descriptions, however, rarely respond to questions of why . Why questions are the domain of interpretation, and, as noted throughout this text, interpretation is complex. Gubrium and Holstein ( 2000 ) noted, “Traditionally, qualitative inquiry has concerned itself with what and how questions … qualitative researchers typically approach why questions cautiously, explanation is tricky business” (p. 502). Eisner ( 1991 ) described this distinctive nature of interpretation: “It means that inquirers try to account for [interpretation] what they have given account of ” (p. 35).

Our focus here is on interpretation, but interpretation requires analysis, because without clear understandings of the data and its characteristics, derived through systematic examination and organization (e.g., coding, memoing, categorizing), “interpretations” resulting from inquiry will likely be incomplete, uninformed, and inconsistent with the constructed perspectives of the study participants. Fortunately for qualitative researchers, we have many sources that lead us through analytic processes. We earlier mentioned the accepted processes of analytic induction and the constant comparison method. These detailed processes (see, e.g., Bogdan & Biklen, 2007 ) combine the inextricably linked activities of analysis and interpretation, with analysis more typically appearing as earlier steps in the process and meaning construction—interpretation—happening later.

A wide variety of resources support researchers engaged in the processes of analysis and interpretation. Saldaña ( 2011 ), for example, provided a detailed description of coding types and processes. He showed researchers how to use process coding (uses gerunds, “-ing” words to capture action), in vivo coding (uses the actual words of the research participants/ subjects), descriptive coding (uses nouns to summarize the data topics), versus coding (uses “vs” to identify conflicts and power issues), and values coding (identifies participants’ values, attitudes, and/or beliefs). To exemplify some of these coding strategies, we include an excerpt from a transcript of a meeting of a school improvement committee. In this study, the collaborators were focused on building “school community.” This excerpt illustrates the application of a variety of codes described by Saldaña to this text:

To connect and elaborate the ideas developed in coding, Saldaña ( 2011 ) suggested researchers categorize the applied codes, write memos to deepen understandings and illuminate additional questions, and identify emergent themes. To begin the categorization process, Saldaña recommended all codes be “classified into similar clusters … once the codes have been classified, a category label is applied to them” (p. 97). So, in continuing with the study of school community example coded here, the researcher might create a cluster/category called “Value of Collaboration” and in this category might include the codes “relationships,” “building community,” and “effective strategies.”

Having coded and categorized a study’s various data forms, a typical next step for researchers is to write memos or analytic memos . Writing analytic memos allows the researcher(s) to

set in words your interpretation of the data … an analytic memo further articulates your … thinking processes on what things may mean … as the study proceeds, however, initial and substantive analytic memos can be revisited and revised for eventual integration into the report itself. (Saldaña, 2011 , p. 98)

In the study of student teaching from K–12 students’ perspectives (Trent & Zorko, 2006 ), we noticed throughout our analysis a series of focus group interview quotes coded “names.” The following quote from a high school student is representative of many others:

I think that, ah, they [student teachers] should like know your face and your name because, uh, I don’t like it if they don’t and they’ll just like … cause they’ll blow you off a lot easier if they don’t know, like our new principal is here … he is, like, he always, like, tries to make sure to say hi even to the, like, not popular people if you can call it that, you know, and I mean, yah, and the people that don’t usually socialize a lot, I mean he makes an effort to know them and know their name like so they will cooperate better with him.

Although we did not ask the focus groups a specific question about whether student teachers knew the K–12 students’ names, the topic came up in every focus group interview. We coded the above excerpt and the others “knowing names,” and these data were grouped with others under the category “relationships.” In an initial analytic memo about this, the researchers wrote,

STUDENT TEACHING STUDY—MEMO #3 “Knowing Names as Relationship Building” Most groups made unsolicited mentions of student teachers knowing, or not knowing, their names. We haven’t asked students about this, but it must be important to them because it always seems to come up. Students expected student teachers to know their names. When they did, students noticed and seemed pleased. When they didn’t, students seemed disappointed, even annoyed. An elementary student told us that early in the semester, “she knew our names … cause when we rose [sic] our hands, she didn’t have to come and look at our name tags … it made me feel very happy.” A high schooler, expressing displeasure that his student teacher didn’t know students’ names, told us, “They should like know your name because it shows they care about you as a person. I mean, we know their names, so they should take the time to learn ours too.” Another high school student said that even after 3 months, she wasn’t sure the student teacher knew her name. Another student echoed, “Same here.” Each of these students asserted that this (knowing students’ names) had impacted their relationship with the student teacher. This high school student focus group stressed that a good relationship, built early, directly impacts classroom interaction and student learning. A student explained it like this: “If you get to know each other, you can have fun with them … they seem to understand you more, you’re more relaxed, and learning seems easier.”

As noted in these brief examples, coding, categorizing, and writing memos about a study’s data are all accepted processes for data analysis and allow researchers to begin constructing new understandings and forming interpretations of the studied phenomena. We find the qualitative research literature to be particularly strong in offering support and guidance for researchers engaged in these analytic practices. In addition to those already noted in this chapter, we have found the following resources provide practical, yet theoretically grounded approaches to qualitative data analysis. For more detailed, procedural, or atomistic approaches to data analysis, we direct researchers to Miles and Huberman’s classic 1994 text, Qualitative Data Analysis , and Bernard et al.’s 2017 book Analyzing Qualitative Data: Systematic Approaches. For analysis and interpretation strategies falling somewhere between the atomistic and holistic poles, we suggest Hesse-Biber and Leavy’s ( 2011 ) chapter, “Analysis and Interpretation of Qualitative Data,” in their book, The Practice of Qualitative Research (second edition); Lichtman’s chapter, “Making Meaning From Your Data,” in her 2013 book Qualitative Research in Education: A User’s Guide (third edition); and “Processing Fieldnotes: Coding and Memoing,” a chapter in Emerson, Fretz, and Shaw’s ( 1995 ) book, Writing Ethnographic Fieldwork . Each of these sources succinctly describes the processes of data preparation, data reduction, coding and categorizing data, and writing memos about emergent ideas and findings. For more holistic approaches, we have found Denzin and Lincoln’s ( 2007 ) Collecting and Interpreting Qualitative Materials and Ellis and Bochner’s ( 2000 ) chapter “Autoethnography, Personal Narrative, Reflexivity” to both be very informative. Finally, Leavy’s 2017 book, Method Meets Art: Arts-Based Research Practice , provides support and guidance to researchers engaged in arts-based research.

Even after reviewing the multiple resources for treating data included here, qualitative researchers might still be wondering, But exactly how do we interpret? In the remainder of this section and in the concluding section of this chapter, we more concretely provide responses to this question and, in closing, we propose a framework for researchers to utilize as they engage in the complex, ambiguous, and yet exciting process of constructing meanings and new understandings from qualitative sources.

These meanings and understandings are often presented as theory, but theories in this sense should be viewed more as “guides to perception” as opposed to “devices that lead to the tight control or precise prediction of events” (Eisner, 1991 , p. 95). Perhaps Erickson’s ( 1986 ) concept of assertions is a more appropriate aim for qualitative researchers. He claimed that assertions are declarative statements; they include a summary of the new understandings, and they are supported by evidence/data. These assertions are open to revision and are revised when disconfirming evidence requires modification. Assertions, theories, or other explanations resulting from interpretation in research are typically presented as “findings” in written research reports. Belgrave and Smith ( 2002 ) emphasized the importance of these interpretations (as opposed to descriptions): “The core of the report is not the events reported by the respondent, but rather the subjective meaning of the reported events for the respondent” (p. 248).

Mills ( 2018 ) viewed interpretation as responding to the question, So what? He provided researchers a series of concrete strategies for both analysis and interpretation. Specific to interpretation, Mills (pp. 204–207) suggested a variety of techniques, including the following:

“ Extend the analysis ”: In doing so, researchers ask additional questions about the research. The data appear to say X , but could it be otherwise? In what ways do the data support emergent finding X ? And, in what ways do they not?

“ Connect findings with personal experience ”: Using this technique, researchers share interpretations based on their intimate knowledge of the context, the observed actions of the individuals in the studied context, and the data points that support emerging interpretations, as well as their awareness of discrepant events or outlier data. In a sense, the researcher is saying, “Based on my experiences in conducting this study, this is what I make of it all.”

“ Seek the advice of ‘critical’ friends ”: In doing so, researchers utilize trusted colleagues, fellow researchers, experts in the field of study, and others to offer insights, alternative interpretations, and the application of their own unique lenses to a researcher’s initial findings. We especially like this strategy because we acknowledge that, too often, qualitative interpretation is a “solo” affair.

“ Contextualize findings in the literature ”: This allows researchers to compare their interpretations to those of others writing about and studying the same/similar phenomena. The results of this contextualization may be that the current study’s findings correspond with the findings of other researchers. The results might, alternatively, differ from the findings of other researchers. In either instance, the researcher can highlight his or her unique contributions to our understanding of the topic under study.

“ Turn to theory ”: Mills defined theory as “an analytical and interpretive framework that helps the researcher make sense of ‘what is going on’ in the social setting being studied.” In turning to theory, researchers search for increasing levels of abstraction and move beyond purely descriptive accounts. Connecting to extant or generating new theory enables researchers to link their work to the broader contemporary issues in the field.

Other theorists offer additional advice for researchers engaged in the act of interpretation. Richardson ( 1995 ) reminded us to account for the power dynamics in the researcher–researched relationship and notes that, in doing so, we can allow for oppressed and marginalized voices to be heard in context. Bogdan and Biklen ( 2007 ) suggested that researchers engaged in interpretation revisit foundational writing about qualitative research, read studies related to the current research, ask evaluative questions (e.g., Is what I’m seeing here good or bad?), ask about implications of particular findings/interpretations, think about the audience for interpretations, look for stories and incidents that illustrate a specific finding/interpretation, and attempt to summarize key interpretations in a succinct paragraph. All these suggestions can be pertinent in certain situations and with particular methodological approaches. In the next and closing section of this chapter, we present a framework for interpretive strategies we believe will support, guide, and be applicable to qualitative researchers across multiple methodologies and paradigms.

In What Ways Can a Framework for Interpretation Strategies Support Qualitative Researchers across Multiple Methodological and Paradigmatic Views?

The process of qualitative research is often compared to a journey, one without a detailed itinerary and ending, but with general direction and aims and yet an open-endedness that adds excitement and thrives on curiosity. Qualitative researchers are travelers. They travel physically to field sites; they travel mentally through various epistemological, theoretical, and methodological grounds; they travel through a series of problem-finding, access, data collection, and data analysis processes; and, finally—the topic of this chapter—they travel through the process of making meaning of all this physical and cognitive travel via interpretation.

Although travel is an appropriate metaphor to describe the journey of qualitative researchers, we will also use “travel” to symbolize a framework for qualitative research interpretation strategies. By design, this framework applies across multiple paradigmatic, epistemological, and methodological traditions. The application of this framework is not formulaic or highly prescriptive; it is also not an anything-goes approach. It falls, and is applicable, between these poles, giving concrete (suggested) direction to qualitative researchers wanting to make the most of the interpretations that result from their research and yet allowing the necessary flexibility for researchers to employ the methods, theories, and approaches they deem most appropriate to the research problem(s) under study.

TRAVEL, a Comprehensive Approach to Qualitative Interpretation

In using the word TRAVEL as a mnemonic device, our aim is to highlight six essential concepts we argue all qualitative researchers should attend to in the interpretive process: transparency, reflexivity, analysis, validity, evidence, and literature. The importance of each is addressed here.

Transparency , as a research concept seems, well, transparent. But, too often, we read qualitative research reports and are left with many questions: How were research participants and the topic of study selected/excluded? How were the data collected, when, and for how long? Who analyzed and interpreted these data? A single researcher? Multiple? What interpretive strategies were employed? Are there data points that substantiate these interpretations/findings? What analytic procedures were used to organize the data prior to making the presented interpretations? In being transparent about data collection, analysis, and interpretation processes, researchers allow reviewers/readers insight into the research endeavor, and this transparency leads to credibility for both researcher and researcher’s claims. Altheide and Johnson ( 2011 ) explained,

There is great diversity of qualitative research.… While these approaches differ, they also share an ethical obligation to make public their claims, to show the reader, audience, or consumer why they should be trusted as faithful accounts of some phenomenon. (p. 584)

This includes, they noted, articulating

what the different sources of data were, how they were interwoven, and … how subsequent interpretations and conclusions are more or less closely tied to the various data … the main concern is that the connection be apparent, and to the extent possible, transparent. (p. 590)

In the Dreams as Data art and research project noted earlier, transparency was addressed in multiple ways. Readers of the project write-up were informed that interpretations resulting from the study, framed as themes , were a result of collaborative analysis that included insights from both students and instructor. Viewers of the art installation/data display had the rare opportunity to see all participant responses. In other words, viewers had access to the entire raw data set (see Trent, 2002 ). More frequently, we encounter only research “findings” already distilled, analyzed, and interpreted in research accounts, often by a single researcher. Allowing research consumers access to the data to interpret for themselves in the Dreams project was an intentional attempt at transparency.

Reflexivity , the second of our concepts for interpretive researcher consideration, has garnered a great deal of attention in qualitative research literature. Some have called this increased attention the reflexive turn (see, e.g., Denzin & Lincoln, 2004 ).

Although you can find many meanings for the term reflexivity, it is usually associated with a critical reflection on the practice and process of research and the role of the researcher. It concerns itself with the impact of the researcher on the system and the system on the researcher. It acknowledges the mutual relationships between the researcher and who and what is studied … by acknowledging the role of the self in qualitative research, the researcher is able to sort through biases and think about how they affect various aspects of the research, especially interpretation of meanings. (Lichtman, 2013 , p. 165)

As with transparency, attending to reflexivity allows researchers to attach credibility to presented findings. Providing a reflexive account of researcher subjectivity and the interactions of this subjectivity within the research process is a way for researchers to communicate openly with their audience. Instead of trying to exhume inherent bias from the process, qualitative researchers share with readers the value of having a specific, idiosyncratic positionality. As a result, situated, contextualized interpretations are viewed as an asset, as opposed to a liability.

LaBanca ( 2011 ), acknowledging the often solitary nature of qualitative research, called for researchers to engage others in the reflexive process. Like many other researchers, LaBanca utilized a researcher journal to chronicle reflexive thoughts, explorations, and understandings, but he took it a step farther. Realizing the value of others’ input, LaBanca posts his reflexive journal entries on a blog (what he calls an online reflexivity blog ) and invites critical friends, other researchers, and interested members of the community to audit his reflexive moves, providing insights, questions, and critique that inform his research and study interpretations.

We agree this is a novel approach worth considering. We, too, understand that multiple interpreters will undoubtedly produce multiple interpretations, a richness of qualitative research. So, we suggest researchers consider bringing others in before the production of the report. This could be fruitful in multiple stages of the inquiry process, but especially in the complex, idiosyncratic processes of reflexivity and interpretation. We are both educators and educational researchers. Historically, each of these roles has tended to be constructed as an isolated endeavor, the solitary teacher, the solo researcher/fieldworker. As noted earlier and in the analysis section that follows, introducing collaborative processes to what has often been a solitary activity offers much promise for generating rich interpretations that benefit from multiple perspectives.

Being consciously reflexive throughout our practice as researchers has benefitted us in many ways. In a study of teacher education curricula designed to prepare preservice teachers to support second-language learners, we realized hard truths that caused us to reflect on and adapt our own practices as teacher educators. Reflexivity can inform a researcher at all parts of the inquiry, even in early stages. For example, one of us was beginning a study of instructional practices in an elementary school. The communicated methods of the study indicated that the researcher would be largely an observer. Early fieldwork revealed that the researcher became much more involved as a participant than anticipated. Deep reflection and writing about the classroom interactions allowed the researcher to realize that the initial purpose of the research was not being accomplished, and the researcher believed he was having a negative impact on the classroom culture. Reflexivity in this instance prompted the researcher to leave the field and abandon the project as it was just beginning. Researchers should plan to openly engage in reflexive activities, including writing about their ongoing reflections and subjectivities. Including excerpts of this writing in research account supports our earlier recommendation of transparency.

Early in this chapter, for the purposes of discussion and examination, we defined analysis as “summarizing and organizing” data in a qualitative study and interpretation as “meaning making.” Although our focus has been on interpretation as the primary topic, the importance of good analysis cannot be underestimated, because without it, resultant interpretations are likely incomplete and potentially uninformed. Comprehensive analysis puts researchers in a position to be deeply familiar with collected data and to organize these data into forms that lead to rich, unique interpretations, and yet interpretations that are clearly connected to data exemplars. Although we find it advantageous to examine analysis and interpretation as different but related practices, in reality, the lines blur as qualitative researchers engage in these recursive processes.

We earlier noted our affinity for a variety of approaches to analysis (see, e.g., Hesse-Biber & Leavy, 2011 ; Lichtman, 2013 ; or Saldaña, 2011 ). Emerson et al. ( 1995 ) presented a grounded approach to qualitative data analysis: In early stages, researchers engage in a close, line-by-line reading of data/collected text and accompany this reading with open coding , a process of categorizing and labeling the inquiry data. Next, researchers write initial memos to describe and organize the data under analysis. These analytic phases allow the researcher(s) to prepare, organize, summarize, and understand the data, in preparation for the more interpretive processes of focused coding and the writing up of interpretations and themes in the form of integrative memos .

Similarly, Mills ( 2018 ) provided guidance on the process of analysis for qualitative action researchers. His suggestions for organizing and summarizing data include coding (labeling data and looking for patterns); identifying themes by considering the big picture while looking for recurrent phrases, descriptions, or topics; asking key questions about the study data (who, what, where, when, why, and how); developing concept maps (graphic organizers that show initial organization and relationships in the data); and stating what’s missing by articulating what data are not present (pp. 179–189).

Many theorists, like Emerson et al. ( 1995 ) and Mills ( 2018 ) noted here, provide guidance for individual researchers engaged in individual data collection, analysis, and interpretation; others, however, invite us to consider the benefits of collaboratively engaging in these processes through the use of collaborative research and analysis teams. Paulus, Woodside, and Ziegler ( 2008 ) wrote about their experiences in collaborative qualitative research: “Collaborative research often refers to collaboration among the researcher and the participants. Few studies investigate the collaborative process among researchers themselves” (p. 226).

Paulus et al. ( 2008 ) claimed that the collaborative process “challenged and transformed our assumptions about qualitative research” (p. 226). Engaging in reflexivity, analysis, and interpretation as a collaborative enabled these researchers to reframe their views about the research process, finding that the process was much more recursive, as opposed to following a linear progression. They also found that cooperatively analyzing and interpreting data yielded “collaboratively constructed meanings” as opposed to “individual discoveries.” And finally, instead of the traditional “individual products” resulting from solo research, collaborative interpretation allowed researchers to participate in an “ongoing conversation” (p. 226).

These researchers explained that engaging in collaborative analysis and interpretation of qualitative data challenged their previously held assumptions. They noted,

through collaboration, procedures are likely to be transparent to the group and can, therefore, be made public. Data analysis benefits from an iterative, dialogic, and collaborative process because thinking is made explicit in a way that is difficult to replicate as a single researcher. (Paulus et al., 2008 , p. 236)

They shared that, during the collaborative process, “we constantly checked our interpretation against the text, the context, prior interpretations, and each other’s interpretations” (p. 234).

We, too, have engaged in analysis similar to these described processes, including working on research teams. We encourage other researchers to find processes that fit with the methodology and data of a particular study, use the techniques and strategies most appropriate, and then cite the utilized authority to justify the selected path. We urge traditionally solo researchers to consider trying a collaborative approach. Generally, we suggest researchers be familiar with a wide repertoire of practices. In doing so, they will be in better positions to select and use strategies most appropriate for their studies and data. Succinctly preparing, organizing, categorizing, and summarizing data sets the researcher(s) up to construct meaningful interpretations in the forms of assertions, findings, themes, and theories.

Researchers want their findings to be sound, backed by evidence, and justifiable and to accurately represent the phenomena under study. In short, researchers seek validity for their work. We assert that qualitative researchers should attend to validity concepts as a part of their interpretive practices. We have previously written and theorized about validity, and, in doing so, we have highlighted and labeled what we consider two distinctly different approaches, transactional and transformational (Cho & Trent, 2006 ). We define transactional validity in qualitative research as an interactive process occurring among the researcher, the researched, and the collected data, one that is aimed at achieving a relatively higher level of accuracy. Techniques, methods, and/or strategies are employed during the conduct of the inquiry. These techniques, such as member checking and triangulation, are seen as a medium with which to ensure an accurate reflection of reality (or, at least, participants’ constructions of reality). Lincoln and Guba’s ( 1985 ) widely known notion of trustworthiness in “naturalistic inquiry” is grounded in this approach. In seeking trustworthiness, researchers attend to research credibility, transferability, dependability, and confirmability. Validity approaches described by Maxwell ( 1992 ) as “descriptive” and “interpretive” also proceed in the usage of transactional processes.

For example, in the write-up of a study on the facilitation of teacher research, one of us (Trent, 2012 ) wrote about the use of transactional processes:

“Member checking is asking the members of the population being studied for their reaction to the findings” (Sagor, 2000 , p. 136). Interpretations and findings of this research, in draft form, were shared with teachers (for member checking) on multiple occasions throughout the study. Additionally, teachers reviewed and provided feedback on the final draft of this article. (p. 44)

This member checking led to changes in some resultant interpretations (called findings in this particular study) and to adaptations of others that shaped these findings in ways that made them both richer and more contextualized.

Alternatively, in transformational approaches, validity is not so much something that can be achieved solely by employing certain techniques. Transformationalists assert that because traditional or positivist inquiry is no longer seen as an absolute means to truth in the realm of human science, alternative notions of validity should be considered to achieve social justice, deeper understandings, broader visions, and other legitimate aims of qualitative research. In this sense, it is the ameliorative aspects of the research that achieve (or do not achieve) its validity. Validity is determined by the resultant actions prompted by the research endeavor.

Lather ( 1993 ), Richardson ( 1997 ), and others (e.g., Lenzo, 1995 ; Scheurich, 1996 ) proposed a transgressive approach to validity that emphasized a higher degree of self-reflexivity. For example, Lather proposed a “catalytic validity” described as “the degree to which the research empowers and emancipates the research subjects” (Scheurich, 1996 , p. 4). Beverley ( 2000 , p. 556) proposed testimonio as a qualitative research strategy. These first-person narratives find their validity in their ability to raise consciousness and thus provoke political action to remedy problems of oppressed peoples (e.g., poverty, marginality, exploitation).

We, too, have pursued research with transformational aims. In the earlier mentioned study of preservice teachers’ experiences learning to teach second-language learners (Cho et al., 2012 ), our aims were to empower faculty members, evolve the curriculum, and, ultimately, better serve preservice teachers so that they might better serve English-language learners in their classrooms. As program curricula and activities have changed as a result, we claim a degree of transformational validity for this research.

Important, then, for qualitative researchers throughout the inquiry, but especially when engaged in the process of interpretation, is to determine the type(s) of validity applicable to the study. What are the aims of the study? Providing an “accurate” account of studied phenomena? Empowering participants to take action for themselves and others? The determination of this purpose will, in turn, inform researchers’ analysis and interpretation of data. Understanding and attending to the appropriate validity criteria will bolster researcher claims to meaningful findings and assertions.

Regardless of purpose or chosen validity considerations, qualitative research depends on evidence . Researchers in different qualitative methodologies rely on different types of evidence to support their claims. Qualitative researchers typically utilize a variety of forms of evidence including texts (written notes, transcripts, images, etc.), audio and video recordings, cultural artifacts, documents related to the inquiry, journal entries, and field notes taken during observations of social contexts and interactions. Schwandt ( 2001 ) wrote,

Evidence is essential to justification, and justification takes the form of an argument about the merit(s) of a given claim. It is generally accepted that no evidence is conclusive or unassailable (and hence, no argument is foolproof). Thus, evidence must often be judged for its credibility, and that typically means examining its source and the procedures by which it was produced [thus the need for transparency discussed earlier]. (p. 82)

Altheide and Johnson ( 2011 ) drew a distinction between evidence and facts:

Qualitative researchers distinguish evidence from facts. Evidence and facts are similar but not identical. We can often agree on facts, e.g., there is a rock, it is harder than cotton candy. Evidence involves an assertion that some facts are relevant to an argument or claim about a relationship. Since a position in an argument is likely tied to an ideological or even epistemological position, evidence is not completely bound by facts, but it is more problematic and subject to disagreement. (p. 586)

Inquirers should make every attempt to link evidence to claims (or findings, interpretations, assertions, conclusions, etc.). There are many strategies for making these connections. Induction involves accumulating multiple data points to infer a general conclusion. Confirmation entails directly linking evidence to resultant interpretations. Testability/falsifiability means illustrating that evidence does not necessarily contradict the claim/interpretation and so increases the credibility of the claim (Schwandt, 2001 ). In the study about learning to teach second-language learners, for example, a study finding (Cho et al., 2012 ) was that “as a moral claim , candidates increasingly [in higher levels of the teacher education program] feel more responsible and committed to … [English language learners]” (p. 77). We supported this finding with a series of data points that included the following preservice teacher response: “It is as much the responsibility of the teacher to help teach second-language learners the English language as it is our responsibility to teach traditional English speakers to read or correctly perform math functions.” Claims supported by evidence allow readers to see for themselves and to both examine researcher assertions in tandem with evidence and form further interpretations of their own.

Some postmodernists reject the notion that qualitative interpretations are arguments based on evidence. Instead, they argue that qualitative accounts are not intended to faithfully represent that experience, but instead are designed to evoke some feelings or reactions in the reader of the account (Schwandt, 2001 ). We argue that, even in these instances where transformational validity concerns take priority over transactional processes, evidence still matters. Did the assertions accomplish the evocative aims? What evidence/arguments were used to evoke these reactions? Does the presented claim correspond with the study’s evidence? Is the account inclusive? In other words, does it attend to all evidence or selectively compartmentalize some data while capitalizing on other evidentiary forms?

Researchers, we argue, should be both transparent and reflexive about these questions and, regardless of research methodology or purpose, should share with readers of the account their evidentiary moves and aims. Altheide and Johnson ( 2011 ) called this an evidentiary narrative and explain:

Ultimately, evidence is bound up with our identity in a situation.… An “evidentiary narrative” emerges from a reconsideration of how knowledge and belief systems in everyday life are tied to epistemic communities that provide perspectives, scenarios, and scripts that reflect symbolic and social moral orders. An “evidentiary narrative” symbolically joins an actor, an audience, a point of view (definition of a situation), assumptions, and a claim about a relationship between two or more phenomena. If any of these factors are not part of the context of meaning for a claim, it will not be honored, and thus, not seen as evidence. (p. 686)

In sum, readers/consumers of a research account deserve to know how evidence was treated and viewed in an inquiry. They want and should be aware of accounts that aim to evoke versus represent, and then they can apply their own criteria (including the potential transferability to their situated context). Renowned ethnographer and qualitative research theorist Harry Wolcott ( 1990 ) urged researchers to “let readers ‘see’ for themselves” by providing more detail rather than less and by sharing primary data/evidence to support interpretations. In the end, readers do not expect perfection. Writer Eric Liu ( 2010 ) explained, “We don’t expect flawless interpretation. We expect good faith. We demand honesty.”

Last, in this journey through concepts we assert are pertinent to researchers engaged in interpretive processes, we include attention to the literature . In discussing literature, qualitative researchers typically mean publications about the prior research conducted on topics aligned with or related to a study. Most often, this research/literature is reviewed and compiled by researchers in a section of the research report titled “Literature Review.” It is here we find others’ studies, methods, and theories related to our topics of study, and it is here we hope the assertions and theories that result from our studies will someday reside.

We acknowledge the value of being familiar with research related to topics of study. This familiarity can inform multiple phases of the inquiry process. Understanding the extant knowledge base can inform research questions and topic selection, data collection and analysis plans, and the interpretive process. In what ways do the interpretations from this study correspond with other research conducted on this topic? Do findings/interpretations corroborate, expand, or contradict other researchers’ interpretations of similar phenomena? In any of these scenarios (correspondence, expansion, contradiction), new findings and interpretations from a study add to and deepen the knowledge base, or literature, on a topic of investigation.

For example, in our literature review for the study of student teaching, we quickly determined that the knowledge base and extant theories related to the student teaching experience were immense, but also quickly realized that few, if any, studies had examined student teaching from the perspective of the K–12 students who had the student teachers. This focus on the literature related to our topic of student teaching prompted us to embark on a study that would fill a gap in this literature: Most of the knowledge base focused on the experiences and learning of the student teachers themselves. Our study, then, by focusing on the K–12 students’ perspectives, added literature/theories/assertions to a previously untapped area. The “literature” in this area (at least we would like to think) is now more robust as a result.

In another example, a research team (Trent et al., 2003 ) focused on institutional diversity efforts, mined the literature, found an appropriate existing (a priori) set of theories/assertions, and then used the existing theoretical framework from the literature as a framework to analyze data, in this case, a variety of institutional activities related to diversity.

Conducting a literature review to explore extant theories on a topic of study can serve a variety of purposes. As evidenced in these examples, consulting the literature/extant theory can reveal gaps in the literature. A literature review might also lead researchers to existing theoretical frameworks that support analysis and interpretation of their data (as in the use of the a priori framework example). Finally, a review of current theories related to a topic of inquiry might confirm that much theory already exists, but that further study may add to, bolster, and/or elaborate on the current knowledge base.

Guidance for researchers conducting literature reviews is plentiful. Lichtman ( 2013 ) suggested researchers conduct a brief literature review, begin research, and then update and modify the literature review as the inquiry unfolds. She suggested reviewing a wide range of related materials (not just scholarly journals) and additionally suggested that researchers attend to literature on methodology, not just the topic of study. She also encouraged researchers to bracket and write down thoughts on the research topic as they review the literature, and, important for this chapter, that researchers “integrate your literature review throughout your writing rather than using a traditional approach of placing it in a separate chapter” (p. 173).

We agree that the power of a literature review to provide context for a study can be maximized when this information is not compartmentalized apart from a study’s findings. Integrating (or at least revisiting) reviewed literature juxtaposed alongside findings can illustrate how new interpretations add to an evolving story. Eisenhart ( 1998 ) expanded the traditional conception of the literature review and discussed the concept of an interpretive review . By taking this interpretive approach, Eisenhart claimed that reviews, alongside related interpretations/findings on a specific topic, have the potential to allow readers to see the studied phenomena in entirely new ways, through new lenses, revealing heretofore unconsidered perspectives. Reviews that offer surprising and enriching perspectives on meanings and circumstances “shake things up, break down boundaries, and cause things (or thinking) to expand” (p. 394). Coupling reviews of this sort with current interpretations will “give us stories that startle us with what we have failed to notice” (p. 395).

In reviews of research studies, it can certainly be important to evaluate the findings in light of established theories and methods [the sorts of things typically included in literature reviews]. However, it also seems important to ask how well the studies disrupt conventional assumptions and help us to reconfigure new, more inclusive, and more promising perspectives on human views and actions. From an interpretivist perspective, it would be most important to review how well methods and findings permit readers to grasp the sense of unfamiliar perspectives and actions. (Eisenhart, 1998 , p. 397)

Though our interpretation-related journey in this chapter nears an end, we are hopeful it is just the beginning of multiple new conversations among ourselves and in concert with other qualitative researchers. Our aims have been to circumscribe interpretation in qualitative research; emphasize the importance of interpretation in achieving the aims of the qualitative project; discuss the interactions of methodology, data, and the researcher/self as these concepts and theories intertwine with interpretive processes; describe some concrete ways that qualitative inquirers engage the process of interpretation; and, finally, provide a framework of interpretive strategies that may serve as a guide for ourselves and other researchers.

In closing, we note that the TRAVEL framework, construed as a journey to be undertaken by researchers engaged in interpretive processes, is not designed to be rigid or prescriptive, but instead is designed to be a flexible set of concepts that will inform researchers across multiple epistemological, methodological, and theoretical paradigms. We chose the concepts of transparency, reflexivity, analysis, validity, evidence, and literature (TRAVEL) because they are applicable to the infinite journeys undertaken by qualitative researchers who have come before and to those who will come after us. As we journeyed through our interpretations of interpretation, we have discovered new things about ourselves and our work. We hope readers also garner insights that enrich their interpretive excursions. Happy travels!

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Customer Insights - Second Edition

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Aila Khan, Western Sydney University

Mohammad Munir Hossain, Western Sydney University

Sabreena Zoha Amin, Western Sydney University

Copyright Year: 2023

Publisher: Western Sydney University

Language: English

Formats Available

Conditions of use.

Table of Contents

• Introduction to the Second Edition
• Acknowledgement of country
• Acknowledgments
• Difference between marketing research and customer insights
• Research ethics
• Secondary research
• Use of census data
• Primary research
• Qualitative vs quantitative research
• Types of research design
• Focus groups
• Observational research
• Measures or types of variables
• Questionnaire design
• Sampling methods
• Errors in research
• Research panels
• Survey distribution methods
• Descriptive statistics
• Association between variables
• Differences between respondent groups
• Sentiment analysis
• Artificial intelligence and information
• Social media analytics
• Researching Indigenous Communities
• Communicating insights
• Infographics
• The process: from generating to using customer insights
• Case Study: Using customer insights to reposition Western Sydney University
• Appendix: Hypothesis Testing

Ancillary Material

About the book.

Increasingly, the concept of marketing research is being replaced with the term ‘customer or consumer insights’. As decision-makers are bombarded with data, it is important to have an Insights Team or Department which can sift through it all and identify those nuggets of information that can meaningfully explain human behaviour. Such insights must translate into an informed business strategy for success. This book has been curated to ensure that the practice of data collection, analysis, and interpretation is presented from an industry perspective.

About the Contributors

Dr. Aila Khan is a Senior Lecturer at the School of Business, Western Sydney University (WSU). Some of her most exciting projects – social robots, individuals’ well-being, and charitable giving – were initiated by students as part of their thesis work.

Dr. Mohammad Munir Hossain has over 23 years of experience in academia. His research interests are in the fields of consumer behaviour and cross-cultural studies.

Dr. Sabreena Zoha Amin is a researcher and an academic at the School of Business, Western Sydney University (WSU), Australia. Sabreena holds research interest in the broad areas of consumer behaviour, service marketing, digital marketing, and international marketing.

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New Theoretical Techniques For Analyzing And Mitigating Password Cracking Attacks

Brute force guessing attacks continue to pose a significant threat to user passwords. To protect user passwords against brute force attacks, many organizations impose restrictions aimed at forcing users to select stronger passwords. Organizations may also adopt stronger hashing functions in an effort to deter offline brute force guessing attacks. However, these defenses induce trade-offs between security, usability, and the resources an organization is willing to investigate to protect passwords. In order to make informed password policy decisions, it is crucial to understand the distribution over user passwords and how policy updates will impact this password distribution and/or the strategy of a brute force attacker.

This first part of this thesis focuses on developing rigorous statistical tools to analyze user password distributions and the behavior of brute force password attackers. In particular, we first develop several rigorous statistical techniques to upper and lower bound the guessing curve of an optimal attacker who knows the user password distribution and can order guesses accordingly. We apply these techniques to analyze eight password datasets and two PIN datasets. Our empirical analysis demonstrates that our statistical techniques can be used to evaluate password composition policies, compare the strength of different password distributions, quantify the impact of applying PIN blocklists, and help tune hash cost parameters. A real world attacker may not have perfect knowledge of the password distribution. Prior work introduced an efficient Monte Carlo technique to estimate the guessing number of a password under a particular password cracking model, i.e., the number of guesses an attacker would check before this particular password. This tool can also be used to generate password guessing curves, but there is no absolute guarantee that the guessing number and the resulting guessing curves are accurate. Thus, we propose a tool called Confident Monte Carlo that uses rigorous statistical techniques to upper and lower bound the guessing number of a particular password as well as the attacker's entire guessing curve. Our empirical analysis also demonstrate that this tool can be used to help inform password policy decisions, e.g., identifying and warning users with weaker passwords, or tuning hash cost parameters.

The second part of this thesis focuses on developing stronger password hashing algorithms to protect user passwords against offline brute force attacks. In particular, we establish that the memory hard function Scrypt, which has been widely deployed as password hash function, is maximally bandwidth hard. We also present new techniques to construct and analyze depth robust graph with improved concrete parameters. Depth robust graph play an essential rule in the design and analysis of memory hard functions.

Degree Type

• Doctor of Philosophy
• Computer Science

Campus location

• West Lafayette

Advisor/Supervisor/Committee Chair

Additional committee member 2, additional committee member 3, additional committee member 4, usage metrics.

• Cryptography
• Data security and protection

2024 Theses Master's

Merging The Digital With The Physical: Augmented Reality Technology For Digital Heritage Interpretation

Chen, Daoxin

This thesis explores the role of digital technology in enhancing heritage interpretation, with a particular focus on Augmented Reality (AR) as a tool for engaging the public with architectural heritage. It delves into the AR design processes and the potential of AR to enrich the public's understanding of cultural heritage. Grounded in the International Council on Monuments and Sites (ICOMOS) interpretation principles and the PrEDiC (Presentation, Embodiment, Dialogic interaction, and Cultural learning) framework for digital heritage interpretation, this study proposes a new framework that integrates AR technology with heritage interpretation. The proposed framework will be applied to analyze AR applications at three heritage sites, leading to the development of new design guidelines tailored for AR in cultural heritage settings. This guideline will try to ensure that AR applications effectively meet interpretation needs and that interactions between the public and heritage sites inform the design of AR experiences. The practical application of these guidelines will be illustrated through a design proposal for the Low Memorial Library at Columbia University. This demonstration will highlight how AR can enhance cultural understanding and foster a deeper connection between the public and cultural heritage.

• Historic preservation
• Augmented reality
• Architecture--Conservation and restoration--Technological innovations
• College buildings
• Low Memorial Library
• Columbia University

This item is currently under embargo. It will be available starting 2026-06-01.

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