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May 08, 2025
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PSY-RSS23 Qualitative Data Analysis0.5 semester credits
This RSS introduces students to core data analysis techniques related to qualitative research methods including ways of knowing (epistemologies), data sources, collection, analyses, and the role of researcher as interpreter. Qualitative methods relevant to this RSS include those most common in psychology: thematic analysis, content analysis, narrative analysis, grounded theory, interpretive phenomenological analysis and participant action research. Data sources reviewed are open-ended qualitative interviews, field notes, narratives, archival materials, and focus groups. An emphasis on the critical importance of codes - creating, culling, naming, and organizing - is central to the RSS. Discussions and examples will show how to assess the fit between a research question and a possible research method(s).
Co-requisites: PSY-RSS26 is highly recommended as a pre- or co-requisite
Delivery Method: In person
Grading Default: Credit/No Credit Only
Learning Outcome(s): Students completing the course in Qualitative Data Analysis will be expected to:
- Articulate links among research questions, the use of qualitative methods for research questions, and what qualitative data analyses produce.
- Define epistemological assumptions of qualitative research, including human experience in context and the relevance of thick description in analyses using qualitative approaches.
- Cite comparisons between how qualitative and quantitative data sources generate different corpora of data, the inferences that can be drawn from those data sources, and the assumptions about researchers’ roles during data collection, analysis, and interpretation.
- Code qualitative data leading to categories and themes.
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