Qualitative Data Analysis Methods

Flashcards covering key concepts in qualitative data analysis methods, including grounded theory, coding, CAQDAS, and narrative analysis.

Grounded Theory

A qualitative research method that involves developing a theory grounded in the data collected during research.

Key Features of Grounded Theory

Emerges from data, focuses on generating theory, iterative process of data collection and analysis.

Analytic Induction

A qualitative research approach that develops a hypothesis and tests it against all available data, differing from grounded theory's iterative process.

Coding in Qualitative Data Analysis

The process of organizing data by identifying themes, patterns, and concepts; crucial for analyzing qualitative data.

Advantages of Coding

Facilitates data organization, helps identify patterns, enhances the analysis process.

Problems Associated with Coding

Subjectivity, potential for oversimplification, may overlook nuanced meanings.

Computer-Assisted Qualitative Data Analysis Software (CAQDAS)

Software tools that assist researchers in coding and analyzing qualitative data more efficiently.

Limitations of CAQDAS

May lead to reliance on software rather than critical thinking, can be expensive, requires training.

Narrative Analysis

A qualitative data analysis method focused on the stories and personal accounts within qualitative data.

Models of Narrative Analysis

Different approaches such as structural, thematic, and performative models that analyze narrative structure and content.

Criticisms of Narrative Analysis

Concerns about subjectivity in interpretation, challenges in generalizing narrative findings.