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Synopsis
This book documents a course conducted by SAS Institute that focuses on multivariate statistical methods in a research environment. The topics include multivariate linear modeling techniques such as MANOVA, multivariate regression, discriminant function analysis, and canonical correlation analysis; multivariate models for repeated factor analysis; and analysis of structure including confirmatory factor analysis and structural equation modeling techniques. The course concludes with a chapter about multivariate data preparation and assumptions checking.
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Multivariate Statistical Methods: Practical Research Applications Course Notes
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