Recent advances in statistical methodology and computer automation are making canonical correlation analysis available to more and more researchers. This volume explains the basic features of this sophisticated technique in an essentially non-mathematical introduction that presents numerous examples.Thompson discusses the assumptions, logic, and significance testing procedures required by this analysis, noting trends in its use and some recently developed extensions. Since canonical correlation analysis is generic to other parametric significance testing methods, such as t-tests, ANOVA, and regression, an understanding of the methodology will also help students interrelate these specific techniques.

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