Chapter 9; Qualitative Data Analysis

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Last updated 5:27 PM on 3/20/26
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18 Terms

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Qualitative research

When the purpose of a research project is to better understand psychoanalytical or cultural phenomena.

  • Useful in providing knowledge for decision makers

  • Sometimes criticized as “soft”, lacking rigor, or being inferior to quantitative data analysis.

    • Think of words instead of numbers

      • Textual and visual, ongoing and iterative, employs member checking, goal - understanding

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Member Checking

Asking key informants to read the researcher’s report to verify that the analysis is accurate.

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The 3 Step Process of Analysis

  1. Data reduction

  2. Data display

  3. Conclusion drawing/verification

This process is interactive and iterative in nature

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Data Reduction

Step 1

  • Basically, this is the content analysis

  • Consists of many interrelated processes (starting with transcript):

    • categorization & coding, comparison, theory building, iteration & negative case analysis, the role of tabulation

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Tabulation

Keeps the researcher honest

  • Ex: Only focusing on specific things you like about the place (coffee from 7brew).

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Categorization and Coding

Finding categories in the data.

  • Ex: Restaurant and researching food quality → FQ

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Iteration and Negative Case Analysis

Give a parameter.

  • Ex: Students only drink on the Thursday special drink night.

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Data Display

Step 2

Examples:

  • A table that explains central themes in the study

  • A diagram that suggest variable relationships

  • A matrix including quotes (verbatims) for various themes from representative informants.

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Conclusion Drawing / Verification

  • Checking for common biases.

  • Types of Credibility

    • Emic validity

    • Cross-researcher reliability

    • Triangulation

    • Peer-review

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Credibility

The degree of rigor, believability, and trustworthiness established by qualitative research.

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Emic Validity

Affirms that key members within a culture or subculture agree with the findings of a research report (member checking)

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Cross-researcher reliability

The degree of similarity in the coding of the same data by different researchers (interrater reliability).

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Triangulation

Addressing the analysis from multiple perspectives.

  • Using:

    • Data collection and analysis

    • Multiple data sets

    • Multiple researchers

    • Multiple time periods

    • Different kinds of relevant research informants

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Peer-review

A process in which external qualitative methodology or topic area specialists are asked to review the research analysis.

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Writing the Report

  • Introduction (research objectives/questions)

  • Literature review and relevant secondary data

  • Description of research design/method

  • Analysis of the data/findings (Data displays, interpretation and summary of the findings)

  • Conclusions and recommendations.

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Methodology section of a report

Contains:

  • Topics covered and materials used in questioning

  • Locations, dates, times, and context of observation

  • Number of researchers involved and degree of involvement

  • Procedure for choosing informants

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Analysis of the Data/Findings in Report

  • Sequence of reported findings should be written in a way that is logical and persuasive.

  • Data displays that summarize, clarify, or provide evidence for assertions should be included with the report.

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Verbatims

Quotes from research participants that are used in research reports.

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