Statistics for Psychosocial Research: Measurement
- 1st term
- Mental Health
- 4 credits
- Academic Year:
- 2019 - 2020
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:
- Read and evaluate scientific articles as regards measurement in public health
- Design and conduct studies of reliability and validity.
- 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: