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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)
1
Academic Year
2017 - 2018
Instruction Method
TBD
Class Time(s)
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
Prerequisite

300.721 -724 and successful passing of HPM PhD qualifying exam

Description
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 and challenges with conducting research with 5 to 7 commonly used data sources; (2) developing research questions and testable hypotheses using these data sources; (3) choosing appropriate methods for analyzing these data sets; (4) strategies for data cleaning, work flow management, and replication; and (5) data protection and storage related concerns. Exposes doctoral students to faculty research projects and the specific datasets being used to conduct this research.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. 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
  2. Critically evaluate the use of various data sources for studying contemporary health policy and management issues
Enrollment Restriction
2nd year (or beyond) HPM PhD students only