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- psc-205d - multilevel-models
University of California-Davis Course Info
Davis, California•
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Course Info
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PSC 205D
Multilevel Models
Introduction to statistical techniques for the analysis of normal, hierarchically structured data, such as cross-sectional clustered data or repeated-measures data. Topics include hierarchical linear models, latent growth curve models, and how these methods handle unbalanced and/or missing data.
Units: 4.0
Hours: Lecture—4 hour(s).
Prerequisites:
PSC 204A - Statistical Analysis of Psychological Experiments