what is a narrative research paper

Narrative Analysis 101

Everything you need to know to get started

By: Ethar Al-Saraf (PhD)| Expert Reviewed By: Eunice Rautenbach (DTech) | March 2023

If you’re new to research, the host of qualitative analysis methods available to you can be a little overwhelming. In this post, we’ll  unpack the sometimes slippery topic of narrative analysis . We’ll explain what it is, consider its strengths and weaknesses , and look at when and when not to use this analysis method. 

Overview: Narrative Analysis

• What is narrative analysis (simple definition)
• The two overarching approaches  
• The strengths & weaknesses of narrative analysis
• When (and when not) to use it
• Key takeaways

What Is Narrative Analysis?

Simply put, narrative analysis is a qualitative analysis method focused on interpreting human experiences and motivations by looking closely at the stories (the narratives) people tell in a particular context.

In other words, a narrative analysis interprets long-form participant responses or written stories as data, to uncover themes and meanings . That data could be taken from interviews, monologues, written stories, or even recordings. In other words, narrative analysis can be used on both primary and secondary data to provide evidence from the experiences described.

That’s all quite conceptual, so let’s look at an example of how narrative analysis could be used.

Let’s say you’re interested in researching the beliefs of a particular author on popular culture. In that case, you might identify the characters , plotlines , symbols and motifs used in their stories. You could then use narrative analysis to analyse these in combination and against the backdrop of the relevant context.

This would allow you to interpret the underlying meanings and implications in their writing, and what they reveal about the beliefs of the author. In other words, you’d look to understand the views of the author by analysing the narratives that run through their work.

The Two Overarching Approaches

Generally speaking, there are two approaches that one can take to narrative analysis. Specifically, an inductive approach or a deductive approach. Each one will have a meaningful impact on how you interpret your data and the conclusions you can draw, so it’s important that you understand the difference.

First up is the inductive approach to narrative analysis.

The inductive approach takes a bottom-up view , allowing the data to speak for itself, without the influence of any preconceived notions . With this approach, you begin by looking at the data and deriving patterns and themes that can be used to explain the story, as opposed to viewing the data through the lens of pre-existing hypotheses, theories or frameworks. In other words, the analysis is led by the data.

For example, with an inductive approach, you might notice patterns or themes in the way an author presents their characters or develops their plot. You’d then observe these patterns, develop an interpretation of what they might reveal in the context of the story, and draw conclusions relative to the aims of your research.

Contrasted to this is the deductive approach.

With the deductive approach to narrative analysis, you begin by using existing theories that a narrative can be tested against . Here, the analysis adopts particular theoretical assumptions and/or provides hypotheses, and then looks for evidence in a story that will either verify or disprove them.

For example, your analysis might begin with a theory that wealthy authors only tell stories to get the sympathy of their readers. A deductive analysis might then look at the narratives of wealthy authors for evidence that will substantiate (or refute) the theory and then draw conclusions about its accuracy, and suggest explanations for why that might or might not be the case.

Which approach you should take depends on your research aims, objectives and research questions . If these are more exploratory in nature, you’ll likely take an inductive approach. Conversely, if they are more confirmatory in nature, you’ll likely opt for the deductive approach.

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Strengths & Weaknesses

Now that we have a clearer view of what narrative analysis is and the two approaches to it, it’s important to understand its strengths and weaknesses , so that you can make the right choices in your research project.

A primary strength of narrative analysis is the rich insight it can generate by uncovering the underlying meanings and interpretations of human experience. The focus on an individual narrative highlights the nuances and complexities of their experience, revealing details that might be missed or considered insignificant by other methods.

Another strength of narrative analysis is the range of topics it can be used for. The focus on human experience means that a narrative analysis can democratise your data analysis, by revealing the value of individuals’ own interpretation of their experience in contrast to broader social, cultural, and political factors.

All that said, just like all analysis methods, narrative analysis has its weaknesses. It’s important to understand these so that you can choose the most appropriate method for your particular research project.

The first drawback of narrative analysis is the problem of subjectivity and interpretation . In other words, a drawback of the focus on stories and their details is that they’re open to being understood differently depending on who’s reading them. This means that a strong understanding of the author’s cultural context is crucial to developing your interpretation of the data. At the same time, it’s important that you remain open-minded in how you interpret your chosen narrative and avoid making any assumptions .

A second weakness of narrative analysis is the issue of reliability and generalisation . Since narrative analysis depends almost entirely on a subjective narrative and your interpretation, the findings and conclusions can’t usually be generalised or empirically verified. Although some conclusions can be drawn about the cultural context, they’re still based on what will almost always be anecdotal data and not suitable for the basis of a theory, for example.

Last but not least, the focus on long-form data expressed as stories means that narrative analysis can be very time-consuming . In addition to the source data itself, you will have to be well informed on the author’s cultural context as well as other interpretations of the narrative, where possible, to ensure you have a holistic view. So, if you’re going to undertake narrative analysis, make sure that you allocate a generous amount of time to work through the data.

When To Use Narrative Analysis

As a qualitative method focused on analysing and interpreting narratives describing human experiences, narrative analysis is usually most appropriate for research topics focused on social, personal, cultural , or even ideological events or phenomena and how they’re understood at an individual level.

For example, if you were interested in understanding the experiences and beliefs of individuals suffering social marginalisation, you could use narrative analysis to look at the narratives and stories told by people in marginalised groups to identify patterns , symbols , or motifs that shed light on how they rationalise their experiences.

In this example, narrative analysis presents a good natural fit as it’s focused on analysing people’s stories to understand their views and beliefs at an individual level. Conversely, if your research was geared towards understanding broader themes and patterns regarding an event or phenomena, analysis methods such as content analysis or thematic analysis may be better suited, depending on your research aim .

Let’s recap

In this post, we’ve explored the basics of narrative analysis in qualitative research. The key takeaways are:

• Narrative analysis is a qualitative analysis method focused on interpreting human experience in the form of stories or narratives .
• There are two overarching approaches to narrative analysis: the inductive (exploratory) approach and the deductive (confirmatory) approach.
• Like all analysis methods, narrative analysis has a particular set of strengths and weaknesses .
• Narrative analysis is generally most appropriate for research focused on interpreting individual, human experiences as expressed in detailed , long-form accounts.

If you’d like to learn more about narrative analysis and qualitative analysis methods in general, be sure to check out the rest of the Grad Coach blog here . Alternatively, if you’re looking for hands-on help with your project, take a look at our 1-on-1 private coaching service .

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

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Thanks. I need examples of narrative analysis

Here are some examples of research topics that could utilise narrative analysis:

Personal Narratives of Trauma: Analysing personal stories of individuals who have experienced trauma to understand the impact, coping mechanisms, and healing processes.

Identity Formation in Immigrant Communities: Examining the narratives of immigrants to explore how they construct and negotiate their identities in a new cultural context.

Media Representations of Gender: Analysing narratives in media texts (such as films, television shows, or advertisements) to investigate the portrayal of gender roles, stereotypes, and power dynamics.

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

Please i need help with my project,

how can I cite this article in APA 7th style?

please mention the sources as well.

My research is mixed approach. I use interview,key_inforamt interview,FGD and document.so,which qualitative analysis is appropriate to analyze these data.Thanks

Which qualitative analysis methode is appropriate to analyze data obtain from intetview,key informant intetview,Focus group discussion and document.

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Narrative Research

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• Kayi Ntinda 2  

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Narrative research aims to unravel consequential stories of people’s lives as told by them in their own words and worlds. In the context of the health, social sciences, and education, narrative research is both a data gathering and interpretive or analytical framework. It meets these twin goals admirably by having people make sense of their lived health and well-being in their social context as they understand it, including their self-belief-oriented stories. Narrative research falls within the realm of social constructivism or the philosophy that people’s lived stories capture the complexities and nuanced understanding of their significant experiences. This chapter presents a brief overview of the narrative research approaches as forms of inquiry based on storytelling and premised on the truth value of the stories to best represent the teller’s life world. The chapter also discusses data collection, analysis, and presentation utilizing narrative analysis. In doing so, this chapter provides illustrative examples applying narrative-oriented approaches to research in the health and social sciences. The chapter concludes by outlining the importance of narrative research to person-centric investigations in which the teller-informant view matters to the resulting body of knowledge.

• Collaboration
• Lived experience
• Intersubjectivity
• Narrative inquiry
• Storytelling
• Meaning-making

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Andrews M, Squire C, Tamboukou M, editors. Doing narrative research. London: Sage; 2013.

Google Scholar  

Appel D, Papaikonomou M. Narratives on death and bereavement from three South African cultures: an exploratory study. J Psychol Afr. 2013;23(3):453–8.

Article   Google Scholar  

Atkinson P, Delamont S. Rescuing narrative from qualitative research. Narrat Inq. 2006;16(1):164–72.

Bleakley A. Writing with invisible ink: narrative, confessionalism and reflective practice. Reflective Pract. 2000;1(1):11–24.

Bochner AP. Notes toward an ethics of memory in autoethnographic inquiry. Ethical futures in qualitative research: decolonizing the politics of knowledge. 2007;197–208.

Bruner J. Life as narrative. Soc Res. 2004;71(3):691–710.

Caracciolo M. Narrative, meaning, interpretation: an enactivist approach. Phenomenol Cogn Sci. 2012;11:367–84.

Clandinin DJ. Engaging in narrative inquiry. Walnut Creek: Left Coast Press; 2013.

Clandinin DJ, Connelly FM. Narrative inquiry: experience and story in qualitative research. San Francisco: Jossey-Bass; 2000.

Clandinin DJ, Huber J. Narrative inquiry. In: McGaw B, Baker E, Peterson PP, editors. International encyclopaedia of education. 3rd ed. New York: Elsevier; in press.

Chapter   Google Scholar  

Clandinin DJ, Rosiek G. Mapping a landscape of narrative inquiry: borderland, spaces and tensions. In: Clandinin DJ, editor. Handbook of narrative inquiry: mapping a methodology. Thousand Oaks: Sage; 2007. p. 35–76.

Clandinin DJ, Murphy MS, Huber J, Orr AM. Negotiating narrative inquiries: living in a tension-filled midst. J Educ Res. 2009;103(2):81–90.

Cochran L. The promise of narrative career counselling. In: Maree K, editor. Shaping the story: a guide to facilitating narrative counselling. Pretoria: Van Schaik; 2007. p. 7–19.

Connelly FM, Clandinin DJ. Stories of experience and narrative inquiry. Educ Res. 1990;19(5):2–14.

Connelly FM, Clandinin DJ. Narrative inquiry. In: Green JL, Camilli G, Elmore P, editors. Handbook of complementary methods in education research. 3rd ed. Mahwah: Lawrence Erlbaum; 2006. p. 477–87.

Craig C, Huber J. Relational reverberation: shaping and reshaping narrative inquires in the midst of storied lives and contexts. In: Clandinin DJ, editor. Handbook of narrative inquiry: mapping a methodology. Thousand Oaks: Sage; 2007. p. 251–79.

Creswell JW. Educational research: planning, conducting, and evaluating quantitative. 4th ed. Upper Saddle River: Prentice Hall; 2012.

Crotty M. The foundations of social research: meaning and perspectives in research process. London: Sage; 1998.

Currie G. Narratives and narrators: a philosophy of stories. Oxford: Oxford University Press; 2010.

Book   Google Scholar  

Denzin NK, Lincoln Y. The landscape of qualitative research: theories and issues. Thousand Oaks: Sage; 2000.

Ellis C, Bochner AP. Autoethnography, personal narrative, reflexivity: researcher as subject. In: Denzin NK, Lincoln YS, editors. Handbook of qualitative research. 2nd ed. Thousand Oaks: Sage; 2000. p. 733–68.

Ellis C, Bochner AP. Autoethnography, personal narrative, reflexivity: researcher as subject. In: Denzin NK, Lincoln YS, editors. Handbook of qualitative research. 2nd ed. London: Sage; 2005. p. 733–68.

Eloff I. Narrative therapy as career counselling. In: Maree K, Ebersohn L, editors. Lifekills and career counselling. Sandton: Heinemann; 2002. p. 129–38.

Errante A. But sometimes you’re not part of the story: oral histories and ways of remembering and telling. Educ Res. 2000;29(2):16–27.

Frank AW. Illness and autobiographical work: dialogue as narrative destabilization. Qual Sociol. 2000;23(1):135–56.

Frank AW. Why study people’s stories? The dialogical ethics of narrative analysis. Int J Qual Methods. 2002;1(1):109–17.

Freeman M. Autobiographical understanding and narrative inquiry. In: Clandinin DJ, editor. Handbook of narrative inquiry: mapping a methodology. Thousand Oaks: Sage; 2007. p. 120–45.

Gadow S. Relational narrative: the postmodern turn in nursing ethics. Sch Inq Nurs Pract. 1999;13(1):57–70.

Gibson M. Narrative practice and social work education: using a narrative approach in social work practice education to develop struggling social work students. Practice. 2012;24(1):53–65.

Heidari F, Amiri A, Amiri Z. The effect of person-centered narrative therapy on happiness and death anxiety of elderly people. Asian Soc Sci. 2016;12(10):117–26. https://doi.org/10.5539/ass.v12n10p117 .

Herman D. Basic elements of narrative. Chichester: Wiley-Balckwell; 2009.

Jeon YH, Kraus SG, Jowsey T, Glasgow NJ. The experience of living with chronic heart failure: a narrative review of qualitative studies. BMC Health Serv Res. 2010;10(77):2–9. https://doi.org/10.1186/1472-6963-10-77 .

Kim JH. For whom the school bell toll: conflicting voices inside an alternative high school. Int J Educ Arts. 2006;7(6):1–19.

Kim JH, Latta MM. Narrative inquiry: seeking relations as modes of interactions. J Educ Res. 2009;103(2):69–71.

Kim SK, Park M. Effectiveness of person-centered care on people with dementia: a systematic review and meta-analysis. Clin Interv Aging. 2017;12:381–97. https://doi.org/10.2147/CIA.S117637 .

Maree JG, Ebersöhn L, Biagione-Cerone A. The effect of narrative career facilitation on the personal growth of a disadvantaged student – a case study. J Psychol Afr. 2010;20(3):403–11.

McMullen C, Braithwaite I. Narrative inquiry and the study of collaborative branding activity. Electron J Bus Res Methods. 2013;11(2):92–104.

Murphy N, Aquino-Russell C. Nurses practice beyond simple advocacy to engage in relational narratives: expanding opportunities for persons to influence the public space. Open Nurs J. 2008;2(40):40–7.

Newby P. Research methods for education. 2nd ed. New York: Routledge; 2014.

Ngazimbi EE, Hagedorn WB, Shillingford MA. Counselling caregivers of families affected by HIV/AIDS: the use of narrative therapy. J Psychol Afr. 2008;18(2):317–23.

Ntinda K. Constructing a framework for use of psychometric tests in schools: a consumer-oriented approach. Unpublished doctoral dissertation. Botswana: University of Botswana; 2012.

Nwoye A. A narrative approach to child and family therapy in Africa. Contemp Fam Ther. 2006;28(1):1–23.

Rhodes C, Brown AD. Narrative, organizations and research. Int J Manag Rev. 2005;7(3):167–88.

Riessman CK. Narrative methods for the human sciences. Los Angeles: Sage; 2008.

Riessman CK, Quinney L. Narrative in social work: a critical review. Qual Soc Work. 2005;4(4):391–412.

Savin-Baden M, Niekerk LV. Narrative inquiry: theory and practice. J Geogr High Educ. 2007;31(3):459–472.

Spector-Mersel G. Narrative research: time for the paradigm. Narrat Inq. 2010;20(1):204–24.

Trahar S. Beyond the story itself: narrative inquiry and autoethnography in intercultural research in higher education [41 paragraphs]. Forum Qual Soc Res. 2009;10(1):Art. 30. http://nbn-resolving.de/urn:nbn:de:0114-fqs0901308 .

Tsianakas V, Maben J, Wiseman T, Robert G, Richardson A, Madden P, Griffin M, Davies EA. Using patients’ experiences to identify priorities for quality improvement in breast cancer care: patient narratives, surveys or both? BMC Health Serv Res. 2012;12(271):2–11. https://doi.org/10.1186/1472-6963-12-271 .

Wang CC. Conversation with presence: a narrative inquiry into the learning experience of Chinese students studying nursing at Australian universities. Chin Nurs Res. 2017;4:43–50.

Wang CC, Geale SK. The power of story: narrative inquiry as a methodology in nursing research. Int J Nurs Sci. 2015;2(2):195–8.

Wood K, Chase E, Aggleton P. ‘Telling the truth is the best thing’: teenage orphans’ experiences of parental AIDS-related illness and bereavement in Zimbabwe. Soc Sci Med. 2006;63(7):1923–33.

Zulu NT, Munro N. “I am making it without you, dad”: resilient academic identities of black female university students with absent fathers: an exploratory multiple case study. J Psychol Afr. 2017;27(2):172–9.

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• How to write a narrative essay | Example & tips

How to Write a Narrative Essay | Example & Tips

Published on July 24, 2020 by Jack Caulfield . Revised on July 23, 2023.

A narrative essay tells a story. In most cases, this is a story about a personal experience you had. This type of essay , along with the descriptive essay , allows you to get personal and creative, unlike most academic writing .

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What is a narrative essay for, choosing a topic, interactive example of a narrative essay, other interesting articles, frequently asked questions about narrative essays.

When assigned a narrative essay, you might find yourself wondering: Why does my teacher want to hear this story? Topics for narrative essays can range from the important to the trivial. Usually the point is not so much the story itself, but the way you tell it.

A narrative essay is a way of testing your ability to tell a story in a clear and interesting way. You’re expected to think about where your story begins and ends, and how to convey it with eye-catching language and a satisfying pace.

These skills are quite different from those needed for formal academic writing. For instance, in a narrative essay the use of the first person (“I”) is encouraged, as is the use of figurative language, dialogue, and suspense.

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Narrative essay assignments vary widely in the amount of direction you’re given about your topic. You may be assigned quite a specific topic or choice of topics to work with.

• Write a story about your first day of school.
• Write a story about your favorite holiday destination.

You may also be given prompts that leave you a much wider choice of topic.

• Write about an experience where you learned something about yourself.
• Write about an achievement you are proud of. What did you accomplish, and how?

In these cases, you might have to think harder to decide what story you want to tell. The best kind of story for a narrative essay is one you can use to talk about a particular theme or lesson, or that takes a surprising turn somewhere along the way.

For example, a trip where everything went according to plan makes for a less interesting story than one where something unexpected happened that you then had to respond to. Choose an experience that might surprise the reader or teach them something.

Narrative essays in college applications

When applying for college , you might be asked to write a narrative essay that expresses something about your personal qualities.

For example, this application prompt from Common App requires you to respond with a narrative essay.

In this context, choose a story that is not only interesting but also expresses the qualities the prompt is looking for—here, resilience and the ability to learn from failure—and frame the story in a way that emphasizes these qualities.

An example of a short narrative essay, responding to the prompt “Write about an experience where you learned something about yourself,” is shown below.

Hover over different parts of the text to see how the structure works.

Since elementary school, I have always favored subjects like science and math over the humanities. My instinct was always to think of these subjects as more solid and serious than classes like English. If there was no right answer, I thought, why bother? But recently I had an experience that taught me my academic interests are more flexible than I had thought: I took my first philosophy class.

Before I entered the classroom, I was skeptical. I waited outside with the other students and wondered what exactly philosophy would involve—I really had no idea. I imagined something pretty abstract: long, stilted conversations pondering the meaning of life. But what I got was something quite different.

A young man in jeans, Mr. Jones—“but you can call me Rob”—was far from the white-haired, buttoned-up old man I had half-expected. And rather than pulling us into pedantic arguments about obscure philosophical points, Rob engaged us on our level. To talk free will, we looked at our own choices. To talk ethics, we looked at dilemmas we had faced ourselves. By the end of class, I’d discovered that questions with no right answer can turn out to be the most interesting ones.

The experience has taught me to look at things a little more “philosophically”—and not just because it was a philosophy class! I learned that if I let go of my preconceptions, I can actually get a lot out of subjects I was previously dismissive of. The class taught me—in more ways than one—to look at things with an open mind.

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If you’re not given much guidance on what your narrative essay should be about, consider the context and scope of the assignment. What kind of story is relevant, interesting, and possible to tell within the word count?

The best kind of story for a narrative essay is one you can use to reflect on a particular theme or lesson, or that takes a surprising turn somewhere along the way.

Don’t worry too much if your topic seems unoriginal. The point of a narrative essay is how you tell the story and the point you make with it, not the subject of the story itself.

Narrative essays are usually assigned as writing exercises at high school or in university composition classes. They may also form part of a university application.

When you are prompted to tell a story about your own life or experiences, a narrative essay is usually the right response.

The key difference is that a narrative essay is designed to tell a complete story, while a descriptive essay is meant to convey an intense description of a particular place, object, or concept.

Narrative and descriptive essays both allow you to write more personally and creatively than other kinds of essays , and similar writing skills can apply to both.

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Using narrative analysis in qualitative research

Last updated

7 March 2023

Reviewed by

Jean Kaluza

After spending considerable time and effort interviewing persons for research, you want to ensure you get the most out of the data you gathered. One method that gives you an excellent opportunity to connect with your data on a very human and personal level is a narrative analysis in qualitative research. 

Master narrative analysis

Analyze your qualitative data faster and surface more actionable insights

• What is narrative analysis?

Narrative analysis is a type of qualitative data analysis that focuses on interpreting the core narratives from a study group's personal stories. Using first-person narrative, data is acquired and organized to allow the researcher to understand how the individuals experienced something. 

Instead of focusing on just the actual words used during an interview, the narrative analysis also allows for a compilation of data on how the person expressed themselves, what language they used when describing a particular event or feeling, and the thoughts and motivations they experienced. A narrative analysis will also consider how the research participants constructed their narratives.

From the interview to coding , you should strive to keep the entire individual narrative together, so that the information shared during the interview remains intact.

Is narrative analysis qualitative or quantitative?

Narrative analysis is a qualitative research method.

Is narrative analysis a method or methodology?

A method describes the tools or processes used to understand your data; methodology describes the overall framework used to support the methods chosen. By this definition, narrative analysis can be both a method used to understand data and a methodology appropriate for approaching data that comes primarily from first-person stories.

• Do you need to perform narrative research to conduct a narrative analysis?

A narrative analysis will give the best answers about the data if you begin with conducting narrative research. Narrative research explores an entire story with a research participant to understand their personal story.

What are the characteristics of narrative research?

Narrative research always includes data from individuals that tell the story of their experiences. This is captured using loosely structured interviews . These can be a single interview or a series of long interviews over a period of time. Narrative research focuses on the construct and expressions of the story as experienced by the research participant.

• Examples of types of narratives

Narrative data is based on narratives. Your data may include the entire life story or a complete personal narrative, giving a comprehensive account of someone's life, depending on the researched subject. Alternatively, a topical story can provide context around one specific moment in the research participant's life. 

Personal narratives can be single or multiple sessions, encompassing more than topical stories but not entire life stories of the individuals.

• What is the objective of narrative analysis?

The narrative analysis seeks to organize the overall experience of a group of research participants' stories. The goal is to turn people's individual narratives into data that can be coded and organized so that researchers can easily understand the impact of a certain event, feeling, or decision on the involved persons. At the end of a narrative analysis, researchers can identify certain core narratives that capture the human experience.

What is the difference between content analysis and narrative analysis?

Content analysis is a research method that determines how often certain words, concepts, or themes appear inside a sampling of qualitative data . The narrative analysis focuses on the overall story and organizing the constructs and features of a narrative.

What is the difference between narrative analysis and case study in qualitative research?

A case study focuses on one particular event. A narrative analysis draws from a larger amount of data surrounding the entire narrative, including the thoughts that led up to a decision and the personal conclusion of the research participant. 

A case study, therefore, is any specific topic studied in depth, whereas narrative analysis explores single or multi-faceted experiences across time. ​​

What is the difference between narrative analysis and thematic analysis?

A thematic analysis will appear as researchers review the available qualitative data and note any recurring themes. Unlike narrative analysis, which describes an entire method of evaluating data to find a conclusion, a thematic analysis only describes reviewing and categorizing the data.

• Capturing narrative data

Because narrative data relies heavily on allowing a research participant to describe their experience, it is best to allow for a less structured interview. Allowing the participant to explore tangents or analyze their personal narrative will result in more complete data. 

When collecting narrative data, always allow the participant the time and space needed to complete their narrative.

• Methods of transcribing narrative data

A narrative analysis requires that the researchers have access to the entire verbatim narrative of the participant, including not just the word they use but the pauses, the verbal tics, and verbal crutches, such as "um" and "hmm." 

As the entire way the story is expressed is part of the data, a verbatim transcription should be created before attempting to code the narrative analysis.

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• How to code narrative analysis

Coding narrative analysis has two natural start points, either using a deductive coding system or an inductive coding system. Regardless of your chosen method, it's crucial not to lose valuable data during the organization process.

When coding, expect to see more information in the code snippets.

• Types of narrative analysis

After coding is complete, you should expect your data to look like large blocks of text organized by the parts of the story. You will also see where individual narratives compare and diverge.

Inductive method

Using an inductive narrative method treats the entire narrative as one datum or one set of information. An inductive narrative method will encourage the research participant to organize their own story. 

To make sense of how a story begins and ends, you must rely on cues from the participant. These may take the form of entrance and exit talks. 

Participants may not always provide clear indicators of where their narratives start and end. However, you can anticipate that their stories will contain elements of a beginning, middle, and end. By analyzing these components through coding, you can identify emerging patterns in the data.

Taking cues from entrance and exit talk

Entrance talk is when the participant begins a particular set of narratives. You may hear expressions such as, "I remember when…," "It first occurred to me when…," or "Here's an example…."

Exit talk allows you to see when the story is wrapping up, and you might expect to hear a phrase like, "…and that's how we decided", "after that, we moved on," or "that's pretty much it."

Deductive method

Regardless of your chosen method, using a deductive method can help preserve the overall storyline while coding. Starting with a deductive method allows for the separation of narrative pieces without compromising the story's integrity.

Hybrid inductive and deductive narrative analysis

Using both methods together gives you a comprehensive understanding of the data. You can start by coding the entire story using the inductive method. Then, you can better analyze and interpret the data by applying deductive codes to individual parts of the story.

• How to analyze data after coding using narrative analysis

A narrative analysis aims to take all relevant interviews and organize them down to a few core narratives. After reviewing the coding, these core narratives may appear through a repeated moment of decision occurring before the climax or a key feeling that affected the participant's outcome.

You may see these core narratives diverge early on, or you may learn that a particular moment after introspection reveals the core narrative for each participant. Either way, researchers can now quickly express and understand the data you acquired.

• A step-by-step approach to narrative analysis and finding core narratives

Narrative analysis may look slightly different to each research group, but we will walk through the process using the Delve method for this article.

Step 1 – Code narrative blocks

Organize your narrative blocks using inductive coding to organize stories by a life event.

Example: Narrative interviews are conducted with homeowners asking them to describe how they bought their first home.

Step 2 – Group and read by live-event

You begin your data analysis by reading through each of the narratives coded with the same life event.

Example: You read through each homeowner's experience of buying their first home and notice that some common themes begin to appear, such as "we were tired of renting," "our family expanded to the point that we needed a larger space," and "we had finally saved enough for a downpayment."

Step 3 – Create a nested story structure

As these common narratives develop throughout the participant's interviews, create and nest code according to your narrative analysis framework. Use your coding to break down the narrative into pieces that can be analyzed together.

Example: During your interviews, you find that the beginning of the narrative usually includes the pressures faced before buying a home that pushes the research participants to consider homeownership. The middle of the narrative often includes challenges that come up during the decision-making process. The end of the narrative usually includes perspectives about the excitement, stress, or consequences of home ownership that has finally taken place. 

Step 4 – Delve into the story structure

Once the narratives are organized into their pieces, you begin to notice how participants structure their own stories and where similarities and differences emerge.

Example: You find in your research that many people who choose to buy homes had the desire to buy a home before their circumstances allowed them to. You notice that almost all the stories begin with the feeling of some sort of outside pressure.

Step 5 – Compare across story structure

While breaking down narratives into smaller pieces is necessary for analysis, it's important not to lose sight of the overall story. To keep the big picture in mind, take breaks to step back and reread the entire narrative of a code block. This will help you remember how participants expressed themselves and ensure that the core narrative remains the focus of the analysis.

Example: By carefully examining the similarities across the beginnings of participants' narratives, you find the similarities in pressures. Considering the overall narrative, you notice how these pressures lead to similar decisions despite the challenges faced. 

Divergence in feelings towards homeownership can be linked to positive or negative pressures. Individuals who received positive pressure, such as family support or excitement, may view homeownership more favorably. Meanwhile, negative pressures like high rent or peer pressure may cause individuals to have a more negative attitude toward homeownership.

These factors can contribute to the initial divergence in feelings towards homeownership.

Step 6 – Tell the core narrative

After carefully analyzing the data, you have found how the narratives relate and diverge. You may be able to create a theory about why the narratives diverge and can create one or two core narratives that explain the way the story was experienced.

Example: You can now construct a core narrative on how a person's initial feelings toward buying a house affect their feelings after purchasing and living in their first home.

Narrative analysis in qualitative research is an invaluable tool to understand how people's stories and ability to self-narrate reflect the human experience. Qualitative data analysis can be improved through coding and organizing complete narratives. By doing so, researchers can conclude how humans process and move through decisions and life events.

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