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Course Catalog

224.691.01 Qualitative Data Analysis

Department:
International Health
Term:
4th term
Credits:
3 credits
Academic Year:
2019 - 2020
Location:
East Baltimore
Class Times:
  • M W,  9:00 - 10:20am
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Steven Harvey
Course Instructor:
Resources:
Prerequisite:

224.690 or permission of instructor

Description:

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 data 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 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:

• Cumulative qualitative analysis memo – 25% (5 entries, 5% per entry)
• Midterm exam – 30%
• Final exam – 35%
• In class exercises – 10%

Instructor Consent:

Consent required for some students

Consent Note:

Anyone who has not met the prerequisite

For consent, contact:

Steven.Harvey@jhu.edu