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Statistics in Psychosocial Research: Measurement

(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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Confirmatory Factor Analysis Consumer Satisfaction Disability Distress Exploratory Factor Analysis Functional Impairment Item Response Theorynt Class Analysisnt Variable Analysis Measurement Overall Health Status Personality Psychology Psychometrics Quality of Life Reliability Class Sciences Socioeconomic Status Stress validity

Conditions of Use

No Strings Attached
Remix and Share
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Read the Fine Print

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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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