410.673.79
Introduction to Qualitative Data Analysis for Public Health
Location
Internet
Term
Summer Institute
Department
Health, Behavior and Society
Credit(s)
2
Academic Year
2025 - 2026
Instruction Method
Synchronous Online with Some Asynchronous Online
Start Date
Monday, June 16, 2025
End Date
Friday, June 20, 2025
Lab Times
Monday, 9:00 - 11:20am (01)
Tuesday, 9:00 - 11:20am (01)
Wednesday, 9:00 - 11:20am (01)
Friday, 9:00 - 11:20am (01)
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
410.671 or instructor consent
Introduces students to the analysis of interview and focus group data collected as part of qualitative public health research. Explores distinct analytic approaches and traditions, and compares the strengths and weaknesses of different analytic paradigms for different research questions. Introduces computer software for coding and managing data using freely available online demonstration of various software packages. Presents both theoretical and practical dimensions of qualitative data analysis. Emphasizes hands-on learning activities within the classroom to practice and apply concepts learned through readings, lectures, and discussion. Develops skills to conceptualize an analytic plan for qualitative data for future research.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Explain the influence of the research question and data collected on the analytic method and interpretive approach
- Describe and compare different qualitative analytic traditions
- Outline an analytic approach for a qualitative research initiative
- Apply a coding framework to qualitative data
- Justify a decision regarding use (or not) of a qualitative analysis software
Methods of Assessment
This course is evaluated as follows:
- 30% Participation
- 20% In-class Exercises
- 20% Written Assignment(s)
- 30% Homework
Course offered remotely.