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Introduction to Qualitative Data Analysis for Public Health


East Baltimore
Summer Inst. term
Health Behavior and Society
2 credits
Academic Year:
2022 - 2023
Instruction Method:
Mon 06/20/2022 - Fri 06/24/2022
Class Times:
  • M Tu W Th F,  9:00 - 11:20am
Auditors Allowed:
Yes, with instructor consent
Undergrads Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Jill Owczarzak

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:

  1. Explain the influence of the research question and data collected on the analytic method and interpretive approach
  2. Describe and compare different qualitative analytic traditions
  3. Outline an analytic approach for a qualitative research initiative
  4. Apply a coding framework to qualitative data
  5. Justify a decision regarding use (or not) of a qualitative analysis software
Methods of Assessment:

This course is evaluated as follows:

  • 50% Participation
  • 20% In-class Exercises
  • 30% Written Assignment(s)

Instructor Consent:

Consent required for some students

Consent Note:

Consent required for students who have not completed Introduction to Qualitative Research Methods (410.671).

For consent, contact:

Special Comments:

Course offered remotely.