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330.657.81
Statistics for Psychosocial Research: Measurement

Location
Internet
Term
1st Term
Department
Mental Health
Credit(s)
4
Academic Year
2018 - 2019
Instruction Method
TBD
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Leoutsakos, Jeannie-Marie
Contact Email
Frequency Schedule
Every Year
Prerequisite

Introduction to Online Learning, and 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).
Jointly Offered With