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Institution:
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University of Pennsylvania
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Subject:
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Description:
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Allison. Prerequisite(s): SOCI 536 or permission of the instructor. Part 1 covers linear models with multiple equations and measurement error. The emphasis will be on LISREL-type models with multiple indicators of latent variables. Topics include classical test theory, path analysis with unmeasured variables, introduction to matrix algebra, confirmatory factor analysis, and the analysis of covariance structures. Part 2 covers multilevel methods for longitudinal and clustered data. Topics include fixed-effects models, random effects and mixed effects and mixed models, GEE estimation, random coefficients models, and models for discrete data.
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Credits:
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3.00
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Credit Hours:
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Prerequisites:
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Corequisites:
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Exclusions:
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Level:
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Instructional Type:
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Lecture
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Notes:
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Additional Information:
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Historical Version(s):
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Institution Website:
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Phone Number:
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(215) 898-5000
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Regional Accreditation:
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Middle States Association of Colleges and Schools
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Calendar System:
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Semester
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