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(Complete Item Description)
- 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.
- Subject:
- Mathematics and Statistics, Social Sciences
- Grade Level:
- Post-secondary
- Collection:
-
JHSPH OpenCourseWare
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(Complete Item Description)
- Abstract:
Presents quantitative approaches to theory construction in the context of multiple response variables, with models for both continuous and categorical data. Topics include the statistical basis for causal inference; principles of path analysis; linear structural equation analysis incorporating measurement models; latent class regression; and analysis of panel data with observed and latent variable models. Draws examples from the social sciences, including the status attainment approach to intergenerational mobility, behavior genetics models of disease and environment, consumer satisfaction, functional impairment and disability, and quality of life.
- Subject:
- Science and Technology, Social Sciences
- Grade Level:
- Post-secondary
- Collection:
-
JHSPH OpenCourseWare
