Latent Variable Modeling in the Hierarchical Modeling Framework in Longitudinal Studies: A Fully Bayesian Approach.

Choi, Kilchan

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Peer reviewed

ERIC Number: EJ637010

Record Type: Journal

Publication Date: 2001

Pages: N/A

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ISSN: ISSN-1598-1037

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Latent Variable Modeling in the Hierarchical Modeling Framework in Longitudinal Studies: A Fully Bayesian Approach.

Choi, Kilchan

Asia Pacific Education Review, v2 n1 p44-55 Jul 2001

Uses longitudinal study of differences between boys and girls in levels of mathematics and science achievement across grades 7 through 10 to extend hierarchical modeling to allow for regression among latent variables using a fully Bayesian approach. (Contains 30 references.) (PKP)

Descriptors: Bayesian Statistics, Elementary Secondary Education, Longitudinal Studies, Markov Processes, Mathematics Achievement, Regression (Statistics), Science Achievement, Sex Differences

Publication Type: Journal Articles; Reports - Research

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Language: English

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Identifiers - Assessments and Surveys: National Assessment of Educational Progress

Grant or Contract Numbers: N/A