Many graduate students, like the author, often learn statistics with a relatively limited conceptual understanding of the foundations of univariate and multivariate analyses. Paper presented at the annual meeting of the Southwest Educational Research Association, Austin, January, 1997.Ĭanonical Correlation Analysis as a General Linear Model Ultimately it is these synthetic variables are actually analyzed in all statistics and which tend to be of extreme importance to erudite researchers who want to understand the substance of their statistical analysis. Furthermore, the paper illustrates how each of these analyses produce a synthetic variable, like the Yhat variable in regression. Through a heuristic data set how canonical analysis subsumes various multivariate and univariate methods is demonstrated. The present paper illustrates the concept of the general linear model (GLM) and how canonical correlational analysis is the general linear model. Canonical Correlation Analysis as the General Linear Model
