309.715.01 | AY 2013-2014 - 2nd Term | 4 Credit(s)
TTh 1:30:00 PM
  • Contact Information
    Judith Kasper
    Kitty Chan
  • Course Learning Objectives

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

    • Identify and critique the primary components of quasi-experimental and observational research designs
    • 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
    • Create variables and conduct preliminary analyses using data from a large complex national health or health care survey
    • discuss the general principles of questionnaire development, with particular application to health and health care surveys
    • Evaluate administrative data applications in health services research
  • Course Description
    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.
  • Intended Audience
    2nd year PhD students and other advanced doctoral students seeking exposure to advanced research design.
  • 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.
  • Prerequisites
    309.616-617 or 300.713 or consent of instructor
  • Course Schedule

    Please see the course Session for a full list of dates and items for this course.

  • Academic Ethics Code

    Students enrolled in the Bloomberg School of Public Health of The Johns Hopkins University assume an obligation to conduct themselves in a manner appropriate to the University's mission as an institution of higher education. A student is obligated to refrain from acts which he or she knows, or under the circumstances has reason to know, impair the academic integrity of the University. Violations of academic integrity include, but are not limited to: cheating; plagiarism; knowingly furnishing false information to any agent of the University for inclusion in the academic record; violation of the rights and welfare of animal or human subjects in research; and misconduct as a member of either School or University committees or recognized groups or organizations.

  • Course Objectives(from old syllabus)
    • Employ basic techniques for developing measures from secondary data
  • Disability Support Services
    If you are a student with a documented disability who requires an academic accommodation, please contact the Office of Student Life Services at 410-955-3034 or via email at