Social Research Methods: Chapter 13

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A series of flashcards covering key concepts in qualitative data analysis, particularly focused on grounded theory and coding strategies.

Last updated 6:25 PM on 4/19/26
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14 Terms

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Analytic Induction

An iterative process in qualitative research that seeks universal explanations of phenomena through loops of data collection and analysis.

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Grounded Theory

A theory derived from systematically gathered and analyzed data throughout the research process.

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Open Coding

The process of breaking down data into initial, conceptual categories by tagging data with labels or codes.

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Axial Coding

The step after open coding where connections between codes are identified, exploring relationships and patterns.

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Selective Coding

The final step in qualitative research where a core category that ties all codes together is identified.

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Theoretical Saturation

The point in qualitative research where no new data is emerging that can add to existing categories, indicating that the study can conclude.

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Fragmentation of Data

A problem in coding where the context of the information is lost due to over-categorization.

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Hypotheses in Grounded Theory

Hunches about relationships between categories that help in the development of theory.

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Categories (in Grounded Theory)

Two or more concepts grouped together that help in organizing data.

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CAQDAS

Computer-Assisted Qualitative Data Analysis Software used to assist in qualitative data analysis, examples include NVivo.

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Narrative Analysis

The study of stories to understand how people make sense of their experiences, encompassing models like thematic, structural, interactional, and performance analyses.

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Concepts (in Grounded Theory)

Labels produced through open coding that represent distinct ideas or phenomena.

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Properties (in Categories)

Attributes or characteristics that describe a category in qualitative research.

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Limitations of Grounded Theory Methodology

Challenges like the difficulty in setting aside existing theories, time-consuming processes, and potential loss of context due to data fragmentation.