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Qualitative Data Analysis

East Baltimore
4th Term
International Health
Academic Year
2022 - 2023
Instruction Method
Class Time(s)
M, W, 9:00 - 10:20am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year

224.690 highly recommended

Qualitative research has many public health applications, but organizations often collect qualitative data then find that they are unsure how to analyze it. This course teaches several approaches to analyzing qualitative data in both academic and applied contexts. You will best understand this course after taking 224.690 Qualitative Research Theory and Methods. For those entering the job market with an MPH, MSPH or similar degree, this course will provide you the skills necessary to carry out applied qualitative analysis. For those pursuing a PhD or DRPH, it will provide a foundation on which to build as you prepare to analyze qualitative dissertation data and pursue a research career.
Combines lecture, hands-on exercises, and work with individual datasets to guide students through several approaches to managing and analyzing qualitative data in the context of both international and domestic public health research. Offers instruction in how to create efficient and accessible qualitative databases, apply different coding and other analytic strategies to different types of qualitative data, write analytical memos, and present qualitative results in forms appropriate for different target audiences, both academic and programmatic. Provides a brief introduction to the use of computer-aided qualitative data analysis software (CAQDAS).
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Manage qualitative data in an efficient and accessible manner
  2. Develop a qualitative data analysis plan
  3. Choose and apply different inductive and deductive approaches to coding appropriate to the data type and the context in which results will be used
  4. Employ and write analytical memos to aid in the analysis and interpretation of qualitative data
  5. Understand the basic functions of computer-aided qualitative data analysis software
  6. Present qualitative findings in different settings using formats appropriate for different audiences
Methods of Assessment
This course is evaluated as follows:
  • 25% Cumulative qualitative analysis memo (5 entries)
  • 20% In-class Exercises
  • 25% Midterm
  • 30% Final Exam
Final grade applies to all terms