Analyzing Measurement Models of Latent Variables through Multilevel Confirmatory Factor Analysis and Hierarchical Linear Modeling Approaches.

Li, Fuzhong; Duncan, Terry E.; Harmer, Peter; Acock, Alan; Stoolmiller, Mike

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Peer reviewed

ERIC Number: EJ571206

Record Type: Journal

Publication Date: 1998

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-1070-5511

EISSN: N/A

Analyzing Measurement Models of Latent Variables through Multilevel Confirmatory Factor Analysis and Hierarchical Linear Modeling Approaches.

Li, Fuzhong; Duncan, Terry E.; Harmer, Peter; Acock, Alan; Stoolmiller, Mike

Structural Equation Modeling, v5 n3 p294-306 1998

Discusses the utility of multilevel confirmatory factor analysis and hierarchical linear modeling methods in testing measurement models in which the underlying attribute may vary as a function of levels of observation. A real dataset is used to illustrate the two approaches and their comparability. (SLD)

Descriptors: Comparative Analysis, Evaluation Methods, Measurement Techniques, Models

Publication Type: Journal Articles; Reports - Descriptive

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

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