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Apr 19, 2024
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PSY-RSS23 Qualitative Data Analysis0.5 semester credits
Introduces students to an array of data analyses techniques that are related to qualitative research methods tracing the logic between the method, the privileged way of knowing (epistemology), data collection sources, data analysis and results. Methods included will be generic qualitative, narrative, phenomenology, heuristic, grounded theory, participant action research, co-inquiry and ethnography. Data sources reviewed are open ended qualitative interviews, short answer questionnaires, field notes, stories or narratives, archival materials and focus groups. Data analyses examples will include various forms of content analysis, open ended coding, code book applications and composite stories among others. Discussions and examples will show how to assess the fit between a research question and a possible research method. Students will code a narrative data set using Dedoose. Students are required to purchase a one month subscription to Dedoose prior to the workshop.
Delivery Method: In person
Grading Default: Credit/No Credit Only
Learning Outcome(s):
- Understand the link between a research method, data collection sources, and data analysis.
- Be able to read and understand scholarly research articles using a variety of qualitative data analyses including content analysis and composite stories.
- Be able to present, critique, and discuss scholarly research articles with emphasis on defining the research methods, data collection, and analysis as related to results.
- Understand validity issues as related to data analysis.
- Load narrative data set and demographic descriptors in Dedoose, and code data creating themes.
- Create qualitative content analysis mini-result section based on Dedoose coding, including meaningful themes aligned to narrative coded excerpts
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