Qualitative Data Analysis in Public Health Research

This intermediate/advanced graduate seminar focuses on various interdisciplinary approaches to the analysis of textual data, including thematic analysis, grounded theory, phenomenology, and narrative and discourse analysis. Students will explore the philosophical underpinnings of these qualitative data analysis approaches and consider their application in the context of critical theories and methodologies, including intersectionality. Students will also learn practical skills involved in qualitative data analysis, including codebook development, coding, developing themes, categories, and conceptual models, writing memos, and disseminating findings to diverse audiences. The course centers issues of power, ethics, positionality, and reflexivity in the context of qualitative research with minoritized populations and discusses community- and arts-based participatory research approaches. The course also addresses methods for combining qualitative and quantitative research findings in the context of a mixed-methods research approach. Students will have the option to analyze their own or others' qualitative