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Advanced Methods in Health Services Research: Research Design


East Baltimore
2nd term
Health Policy and Management
4 credits
Academic Year:
2019 - 2020
Class Times:
  • Tu Th,  1:30 - 3:20pm
Auditors Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor :
Judith Kasper

309.616-617 or 300.713 or consent of instructor


Covers components of research design for population-based studies drawn from secondary data. Topics include: a framework for evaluating research design, introduction to secondary data sources, defining study populations, complex sampling designs, data structure, and content in national health surveys, principles of questionnaire design, survey data collection methodologies and measure construction. Addresses important measurement topics, including measurement equivalence and case-mix adjustment. Emphasizes secondary data from national and international health and health care surveys, but also addresses major health program administrative datasets (e.g. Medicare, Medicaid). Student exercises emphasize the development and acquisitions of skills needed to manipulate data from large population survey or administrative datasets to answer a specific research question.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Identify and critique the primary components of quasi-experimental and observational research designs
  2. Evaluate the design, sampling principles, structure, and data collection methods, of large complex national health and health care surveys (a major resource for health services research), as well as the implications of these for data analysis
  3. Create variables and conduct preliminary analyses using data from a large complex national health or health care survey
  4. Discuss the general principles of questionnaire development, with particular application to health and health care surveys
  5. Evaluate administrative data applications in health services research
Methods of Assessment:

Student evaluation is based on exercises using a publicly available dataset to address a research question of interest to each student. Exercises culminate in presentation of an abstract for a study suitable for a research conference or publication.

Enrollment Restriction:

undergraduates are not permitted in this course

Instructor Consent:

Consent required for some students

Consent Note:

students without the pre-requiste courses noted must obtain consent of instructor prior to registration.

For consent, contact: