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A series of flashcards covering key concepts in qualitative data analysis, particularly focused on grounded theory and coding strategies.
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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.
Grounded Theory
A theory derived from systematically gathered and analyzed data throughout the research process.
Open Coding
The process of breaking down data into initial, conceptual categories by tagging data with labels or codes.
Axial Coding
The step after open coding where connections between codes are identified, exploring relationships and patterns.
Selective Coding
The final step in qualitative research where a core category that ties all codes together is identified.
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.
Fragmentation of Data
A problem in coding where the context of the information is lost due to over-categorization.
Hypotheses in Grounded Theory
Hunches about relationships between categories that help in the development of theory.
Categories (in Grounded Theory)
Two or more concepts grouped together that help in organizing data.
CAQDAS
Computer-Assisted Qualitative Data Analysis Software used to assist in qualitative data analysis, examples include NVivo.
Narrative Analysis
The study of stories to understand how people make sense of their experiences, encompassing models like thematic, structural, interactional, and performance analyses.
Concepts (in Grounded Theory)
Labels produced through open coding that represent distinct ideas or phenomena.
Properties (in Categories)
Attributes or characteristics that describe a category in qualitative research.
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.