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Statistics for Psychosocial Research: Measurement

1st term
Mental Health
4 credits
Academic Year:
2021 - 2022
Instruction Method:
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Leoutsakos, Jeannie-Marie

Introduction to Online Learning, and 140.621-624, former 140.601-604, or 140.651-654, or consent of instructor


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:

60% homework 5% peer evaluation 35% final exam

Instructor Consent:

Consent required for some students

Consent Note:

Consent is required for Special Student Limited, undergrads and for those students without the prerequisitive stats

For consent, contact:

Jointly Offered With: