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Peer reviewed Peer reviewed
ERIC Number: EJ630343
Record Type: Journal
Publication Date: 2001
Pages: N/A
Abstractor: N/A
ISBN: N/A
ISSN: ISSN-1070-5511
EISSN: N/A
Available Date: N/A
Testing Multivariable Covariance Structure and Means Hypotheses via Structural Equation Modeling.
Raykov, Tenko
Structural Equation Modeling, v8 n2 p224-56 2001
Presents a didactic collection of covariance and mean structure hypotheses that can be tested using a widely applicable and easy to use structural equation modeling approach. The method is useful when the goal is to examine the observed multivariable structure or test hypotheses regarding interrelationships in measures and when large samples are made available. (Author/SLD)
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
Author Affiliations: N/A