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ERIC Number: ED467381
Record Type: Non-Journal
Publication Date: 2002-Apr-3
Pages: 35
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
The Logic and Interpretation of Structure Coefficients in Multivariate General Linear Model Analyses.
Henson, Robin K.
In General Linear Model (GLM) analyses, it is important to interpret structure coefficients, along with standardized weights, when evaluating variable contribution to observed effects. Although often used in canonical correlation analysis, structure coefficients are less frequently used in multiple regression and several other multivariate analyses. This paper discusses and demonstrates the role of structure coefficients in multivariate analyses by: (1) illustrating structure coefficients in the univariate context with multiple regression; and (2) using canonical correlation analysis to demonstrate structure coefficients in the multivariate context. A small heuristic data set is used to make the demonstration concretely accessible for applied researchers. (Contains 4 tables, 3 figures, and 22 references.) (Author/SLD)
Publication Type: Reports - Descriptive; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A