Cover of the summary of “Basics of qualitative research”

Book summary “Basics of qualitative research”: summary

Juliet M. Corbin

2,311 words · 13 min read

You face a common research dilemma when studying human behavior: how do you transform raw field notes into rigorous explanatory theory? Traditional methods rely on preconceived hypotheses, forcing data to fit existing frameworks rather than letting new insights emerge.

Summary text

2,311 words · 13 min read

Introduction

You face a common research dilemma when studying human behavior: how do you transform raw field notes into rigorous explanatory theory? Traditional methods rely on preconceived hypotheses, forcing data to fit existing frameworks rather than letting new insights emerge. This book provides a systematic yet flexible methodology to solve that problem.

Grounded theory methodology enables you to build concepts directly from your data through structured analysis. You learn to move beyond mere description by uncovering underlying processes and conditions. The book guides your research journey with specific methods for data collection, coding, and theoretical integration.

  • How do you design exploratory research questions that remain open to discovery?
  • How do you fracture and conceptualize raw text during microanalysis?
  • How do you construct a theoretical framework that accurately reflects field realities?

1. Inspiration and Foundations

Grounded theory is a qualitative research methodology designed to construct theory directly from systematically analyzed data. You build concepts through an ongoing cycle where data collection and analysis occur simultaneously.

Grounded theory methodology is rooted in pragmatism and symbolic interactionism, treating action, emotion, and context as inseparable parts of human conduct.

Historical Origins

Grounded theory was established in the 1960s by sociologists Barney Glaser and Anselm Strauss during fieldwork on death and dying. Their work argued against armchair theorizing and provided flexible procedures for building theory from empirical data.

The methodology originated during a study on death and dying conducted by Anselm Strauss, Jeanne Quint Benoliel, and Barney Glaser. This partnership resulted in the publication of Awareness of Dying in 1965 and The Discovery of Grounded Theory in 1967.

Theoretical Foundations

Strauss developed this approach based on American pragmatism and Chicago interactionism, particularly the works of John Dewey and George Herbert Mead. Pragmatism posits that knowledge is created through action and interaction.

The ontological foundation views the universe as fluid, complex, and non-deterministic. You study a world where humans actively participate in constructing the structures shaping their lives. Reality is found in meanings people assign to events based on biographies and experiences.

2. Practical Considerations

Getting started requires carefully framing exploratory research questions, conducting unstructured interviews, observing field realities, and managing researcher biases.

Qualitative research questions must be exploratory and broad, focusing on how and why people experience phenomena rather than testing fixed variables.

A researcher studying smoking cessation chooses a quantitative study to test educational interventions, but a qualitative study to understand why people continue smoking.

Data Collection Methods

Unstructured interviews provide the richest data because they grant participants control over the pace, depth, and order of topics. Unlike structured interviews, unstructured formats allow respondents to talk freely about issues most important to them.

When interviewing couples managing chronic conditions at home, Juliet M. Corbin noticed participants initially wanted to show family pictures. This later revealed they were trying to communicate they were more than just their illness.

To gather unstructured narrative data, you can follow these opening steps:

  • Tell me about your experience with cancer. I want to hear the story in your own words.
  • After you have completed your narrative if I have questions about what you’ve said or need clarification about a topic, I’ll ask you. But for now just talk freely.

Field observations are essential because people frequently report doing one thing in interviews while practicing something else in reality. Observations place you directly in the center of the action, allowing you to witness subtle interactions.

Anselm Strauss and coresearchers studied psychiatric institutions and found a discrepancy between stated treatment philosophies and actual clinical plans.

You can structure fieldwork using these practical guidelines:

  • Stand back and let the scene unfold without an overly rigid observational guide.
  • Jot down general notes describing the area, routine activities, personnel present, pace, and timing.
  • Watch for significant incidents, focus in, and take detailed notes on what is happening, said, and done.
  • Follow up with questions about the incident with those involved to verify interpretations.

Reflexivity and Bias

Maintaining self-awareness through a research journal is critical to controlling personal biases. A researcher's professional background and personal experiences impact how data is interpreted.

During a study on pregnant women with chronic conditions, the author initially organized data around medical risk levels. She realized she was imposing medical definitions instead of the women's own perceptions of risk.

You can manage reflexivity and personal bias by following these practices:

  • Start a research journal at the inception of the project to record appointments, discussions, and decisions.
  • Write a few notes after each data-collection session detailing problems encountered and how they were handled.
  • Record personal reactions and participant reactions, especially regarding sensitive topics.
  • Use accumulated journal notes when writing up limitations to check for signs of bias.

Literature should be used as a comparative tool to enhance sensitivity rather than as a rigid framework. You do not need to review all literature beforehand, as pre-existing theories can stifle creativity. Literature concepts stimulate analytic questions and help confirm findings.

3. Strategies for Analysis

Qualitative analysis is an ongoing, interpretive art and science that uses microanalysis, questioning, theoretical comparisons, and memos to transform raw data into conceptual categories.

Analysis is never a mechanical procedure. You act as an interpreter and conveyor of meaning. Interpretations must be rigorously validated against incoming data through constant comparisons.

The Nature of Analysis

Microanalysis is a detailed, exploratory form of open coding used in early stages to examine data closely and generate conceptual possibilities. By scrutinizing small pieces of data line by line, you avoid early conceptual foreclosure.

During a seminar class led by Dr. Strauss, students performed microanalysis on a single interview sentence about discovering diabetes during pregnancy. They broke down individual words into multiple theoretical properties.

To perform microanalysis, you follow specific steps:

  • Select a small piece of data, such as a natural break or paragraph in a transcript.
  • Examine individual words and phrases minutely to generate alternative meanings and properties.
  • Ask questions about conditions, consequences, and time dimensions related to the data.
  • Compare interpretations against incoming data to discard irrelevant codes and retain valid concepts.

Analytic Strategies

Analytic strategies act as heuristic mental devices helping you systematically ask questions and make comparisons. Every analyst develops thinking techniques to distance themselves from personal biases.

  • Read the entire interview or document once without coding to enter vicariously into the participant's experience.
  • Look for natural breaks or cutting-off points in the manuscript to divide data into manageable segments.
  • Apply heuristic techniques such as questioning, making constant comparisons, using the flip-flop technique, and thinking in metaphors when stuck.

Asking questions of qualitative data allows you to break through initial blocks and take the role of the participant. Ann Lamott suggested that asking questions helps writers get past initial blocks, which Corbin applies to overcoming analysis block.

Theoretical comparisons use contrasting situations from life or literature to stimulate abstract thinking. To understand a nurse working with an inexperienced nurse, an analyst compared it to being an inexperienced home builder to brainstorm properties like apprehension.

Absolute terms in participant data should act as a red flag for you to question assumptions. A student studying Asian women in clinics missed how women handle sensitive situations through nonverbal clues.

The flip-flop technique involves turning a concept inside out to uncover hidden properties. To understand a teenager stating that drug access is easy, you ask what would happen if access were difficult.

Memos and Diagrams

Writing memos and creating diagrams are active forms of analysis that maintain an ongoing dialogue with the data and prevent analytic inertia.

Memos and diagrams serve as repositories for tracking conceptual development. In analyzing the pain experience, researchers wrote sequential memos starting from a single field note, progressing to advanced narrative story lines.

  • Date memos and diagrams.
  • Create a conceptual heading for each memo and diagram.
  • Keep a research journal.
  • Know the difference between memos and field notes.
  • Use ethics as applied to memos and diagrams.

4. Theoretical Sampling and Context

Theoretical sampling allows researchers to collect data based on evolving concepts, while the paradigm and conditional/consequential matrix connect actions to structural conditions.

Theoretical sampling allows you to follow analytic leads by visiting places and situations that help flesh out properties until reaching saturation. As you analyze data and write memos, new questions guide the selection of subsequent participants.

  • Gather initial data and perform open analysis
  • Derive provisional concepts and formulate questions
  • Select sites, people, or documents that maximize conceptual variation
  • Continue sampling until all categories reach saturation

Corbin and Strauss studied nurse work disruptions during a 7.4 magnitude earthquake, using the event to sample workarounds. After analyzing an interview with a noncombatant, the researcher realized the need to interview combatants via an Internet chat line.

Context and the Paradigm

The paradigm is an analytic tool used during axial coding to link action-interactions back to their conditions and consequences.

Analysts organize codes around a category by identifying reasons prompting an action, specific action-interactions taken, and resulting consequences. An analyst examining an elderly man taking a diuretic found that weak legs led to omitting medication, resulting in elevated blood pressure.

The conditional/consequential matrix helps you map out complex multi-level conditions. Situations are shaped by micro conditions related to individuals and macro conditions originating from outer rings.

A small business family challenged a healthcare law mandating abortion coverage up to the U.S. Supreme Court, illustrating how national policy conditions filter down to organizations.

5. Process and Integration

Process represents the changing forms of action-interaction that occur as you act to reach a goal. Actors must match interactions to temporal shifts. Juliet Corbin compares process to observing the continuous flow of activity in a coffee shop.

Analyzing data for process reveals how actions adjust to changing conditions over time, culminating in theoretical integration around a central core category.

Process breaks down into detailed subprocesses. In a study of pregnant women with chronic illnesses, the major process of protective governing breaks down into assessing risks, balancing options, and taking action.

Achieving Integration

The core category is an abstract concept summarizing the main theme of the study, possessing the greatest explanatory power. Novice researchers often struggle to reach theoretical integration due to failing to write ongoing memos.

You can use specific analytic techniques to achieve integration:

  • Write the descriptive summary memo.
  • Write the conceptual summary memo.
  • Make use of integrative diagrams.
  • Review and sort through memos.
  • Think in terms of metaphors or similes.
  • Talk with a professor or colleague.

Finalizing a grounded theory requires reviewing the scheme for internal consistency and validating the theory against raw data. Computer software programs augment the human mind by handling tedious tasks, but they do not perform actual thinking.

You can work effectively with these digital tools:

  • Try out different software programs.
  • Find the program that works best for you without letting the tool replace the research focus.

6. Evaluation and Writing

Evaluating qualitative research relies on credibility and methodological consistency, and findings can be written up as dissertations, monographs, or journal papers.

Quantitative terms do not fit qualitative research. Instead, you should use specific checkpoints for methodological consistency. Many qualitative studies lack quality due to superficiality or method slurring.

Researchers must build confidence through rigorous quality criteria and eventually let go of their manuscripts, recognizing that writing is a cumulative stream.

Student Paul Alexander stated in a memo how writing forced him to see the whole theory and highlighted parts that did not fit well.

Criteria for Evaluation

You can evaluate studies effectively:

  • Apply evaluation criteria to the research to ensure requirements are met.
  • Allow trusted colleagues and fellow researchers to review the theory.
  • Put aside the final draft for some weeks or months to gain editorial and analytic distance.
  • Maintain methodological consistency without method slurring.
  • Ensure clarity of purpose between description and theory building.
  • Practice self-awareness regarding personal biases and assumptions.
  • Obtain proper training in how to conduct qualitative research.
  • Cultivate sensitivity to participants and data.
  • Commit to working hard and avoiding shortcuts.
  • Connect with the creative self to break out of conceptual ruts.

Writing and Presenting

Monographs allow for greater conceptual depth and fewer page constraints compared to dissertations. Schneider and Conrad wrote a monograph on epilepsy directed at patients. Corbin and Strauss used the spatial metaphor of walking through a house for structuring their book Unending Work and Care.

When you prepare oral presentations, focus on one or two catchy categories and include descriptive examples rather than presenting an entire complex theory.

You can prepare successful talks:

  • Define your audience.
  • Choose one or two catchy categories.
  • Prepare a topic statement and outline.
  • Write out the presentation.
  • Prepare a PowerPoint presentation.
  • Practice, practice, practice.
  • Make it interesting and fun.

10 Key Ideas

  1. Grounded theory methodology is rooted in pragmatism and symbolic interactionism, treating action, emotion, and context as inseparable parts of human conduct.
  2. Qualitative research questions must be exploratory and broad, focusing on how and why people experience phenomena rather than testing fixed variables.
  3. Qualitative analysis is an ongoing, interpretive art and science that uses microanalysis, questioning, theoretical comparisons, and memos to transform raw data into conceptual categories.
  4. Writing memos and creating diagrams are active forms of analysis that maintain an ongoing dialogue with the data and prevent analytic inertia.
  5. Theoretical sampling allows researchers to collect data based on evolving concepts, while the paradigm and conditional/consequential matrix connect actions to structural conditions.
  6. The paradigm is an analytic tool used during axial coding to link action-interactions back to their conditions and consequences.
  7. Analyzing data for process reveals how actions adjust to changing conditions over time, culminating in theoretical integration around a central core category.
  8. Evaluating qualitative research relies on credibility and methodological consistency, and findings can be written up as dissertations, monographs, or journal papers.
  9. Researchers must build confidence through rigorous quality criteria and eventually let go of their manuscripts, recognizing that writing is a cumulative stream.
  10. Corbin and Strauss used the spatial metaphor of walking through a house for structuring their book Unending Work and Care.

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