Skip Navigation

Course Catalog

330.657.01 Statistics for Psychosocial Research: Measurement

Department:
Mental Health
Term:
1st term
Credits:
4 credits
Academic Year:
2017 - 2018
Location:
East Baltimore
Class Times:
  • M W,  10:30 - 11:50am
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Jeannie-Marie Sheppard
Course Instructors:
Resources:
Prerequisite:

140.621-624, former 140.601-604, or 140.651-654, or consent of instructor

Description:

Presents quantitative approaches to measurement in the psychological and social sciences. Topics include the principles of psychometrics, including reliability and validity; the statistical basis for latent variable analysis, including exploratory and confirmatory factor analysis and latent class analysis; and item response theory. Draws examples from the social sciences, including stress and distress, social class and socioeconomic status, personality; consumer satisfaction, functional impairment and disability, quality of life, and the measurement of overall health status. Intended for doctoral students.

Learning Objectives:

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

  1. Read and evaluate scientific articles as regards measurement in public health
  2. Design and conduct studies of reliability and validity.
  3. Fit latent variable models, including factor analyses, latent class analyses, and latent trait analyses (IRT).
Methods of Assessment:

Student evaluation based on class participation, problem sets, and a final exam.

Instructor Consent:

Consent required for all students

For consent, contact:

jsheppar@jhsph.edu

Jointly Offered With: