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- 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:
-
JHSPH OpenCourseWare
- Grade Level:
- Post-secondary
- 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.
- Languages:
- English
- Material Type:
- Full Course, Lecture Notes, Syllabi
- Media Format:
- Graphics/Photos, Text/HTML, Downloadable docs
- Technical Requirements:
- Adobe Acrobat
- Conditions of Use:
-
Creative Commons Attribution-Noncommercial-Share Alike 2.5
No restrictions on your remixing, redistributing, or making derivative works.
Give credit to the author, as required.
Your remixing, redistributing, or making derivatives works comes with some
restrictions, including how it is shared.
Your redistributing comes with some restrictions. Do not remix or make
derivative works.
Copyrighted materials, available under Fair Use and the TEACH Act for US-based
educators, or other custom arrangements. Go to the resource provider to see
their individual restrictions.
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