Statistics in Psychosocial Research: Measurement
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| Type: | Course Related Materials |
| Grade Level: | Post-secondary |
Author: Eaton, William, Garrett-Mayer, Elizabeth, Leoutsakos, Jeannie-Marie
Subject: Mathematics and Statistics, Social Sciences
Institution Name:
Johns Hopkins Bloomberg School of Public Health
Collection Name: JHSPH OpenCourseWare
Abstract: 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.
Details
Course Type: Full Course
Material Types: Lecture Notes, Syllabi
Media Formats: Graphics/Photos, Text/HTML, Downloadable docs
Language: English
Additional Information
Geographic
Regional Relevance: All
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