300.741.01
PhD Seminar in Health Policy: Using Secondary Data to Conduct Health Policy Research
Location
East Baltimore
Term
1st Term
Department
Health Policy and Management
Credit(s)
2
Academic Year
2023 - 2024
Instruction Method
In-person
Monday, 1:30 - 3:20pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
300.721 -724 and successful passing of HPM PhD qualifying exam
Provides a small class-size, doctoral-focused experience and examines some of the most common data sources used in the field to study health policy and management research topics. Emphasizes secondary data sources and discusses: (1) data structure, measurement, and challenges with conducting research with secondary data; (2) developing research questions and testable hypotheses using these data sources; (3) strategies for data cleaning, work flow management, and replication; (4) ethical considerations, data protection and storage related concerns; and (5) orally communicating strengths and weaknesses of datasets in the context of research talks.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Explain data structure, methodological approaches and challenges associated with conducting research using some of the most common secondary datasets available for health policy and management research
- Critically evaluate the use of data sources for studying contemporary health policy and management issues
Methods of Assessment
This course is evaluated as follows:
- 20% Participation
- 60% Final Paper
- 20% Presentation(s)
Enrollment Restriction
HPM 2nd year PhD students only