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ERIC Number: ED450147
Record Type: Non-Journal
Publication Date: 2001-Feb
Pages: 27
Abstractor: N/A
Reference Count: N/A
The Basic Concepts of the General Linear Model (GLM): Canonical Correlation Analysis (CCA) as a GLM.
Kimbell, Anne-Marie
This paper illustrates how canonical correlation analysis can be used to implement all the parametric tests that canonical methods subsume as special cases. The point is heuristic: all analyses are correlational, apply weights to measured variables to create synthetic variables, and require the interpretation of both weights and structure coefficients. Because all analyses are correlational, "r" squared effect sizes can (and should) be reported in all analyses. An appendix contains the command syntax to run illustrative analyses using the Statistical Package for the Social Sciences (SPSS - v9). (Contains 12 tables and 15 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