Qualitative Data Analysis for Public Health
SBS 521
Subject & Catalog Number
Course Information
Description
This seminar focuses on the analysis of qualitative data for public health research and practice. The course covers a range of approaches to the analysis of textual data, such as from interview transcripts. The course focuses on reflexive thematic analysis, but also touches upon grounded theory, framework analysis and hybrid approaches to qualitative data analysis. Students will learn practical skills, including how to develop a codebook, code data, write memos, generate themes, and build conceptual models. The course also addresses issues of ethics in the conduct of qualitative research as well as team-based and participatory approaches to qualitative data analysis. Class sessions focus on active learning and include lectures, group discussions, opportunities to practice coding and summarizing data, article critiques, student presentations, and guest lectures. This course is open to masters and doctoral students who meet the prerequisites. Loaner copies of the required textbook are available for all enrolled students. Given the team- and discussion-based structure, it is not possible to audit this course or participate virtually.
Pre-requisites: SBS288 or GHP504 or DRPH200 or S-063 or another qualitative research methods course/prior qualitative research experience (by permission of instructor)
Class Notes
In order to be considered for enrollment, students must submit a paragraph about their interest in taking the course, and include any prior experience with qualitative research. Petitions will be reviewed in early October.
Available for Harvard Cross Registration
