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AN INTRODUCTION TO MULTIVARIATE STATISTICS

An INTRODUCTION to MULTIVARIATE STATISTICS The term MULTIVARIATE STATISTICS is appropriately used to include all STATISTICS where there are more than two variables simultaneously analyzed. You are already familiar with bivariate STATISTICS such as the Pearson product moment correlation coefficient and the independent groups t-test. A one-way ANOVA with 3 or more treatment groups might also be considered a bivariate design, since there are two variables: one independent variable and one dependent variable. Statistically, one could consider the one-way ANOVA as either a bivariate curvilinear regression or as a multiple regression with the K level categorical independent variable dummy coded into K-1 dichotomous variables.

An Introduction to Multivariate Statistics ... means such as random assignment of subjects to the conditions, one may interpret the correlation between the dependent variable and the independent variable as resulting from a cause-effect relationship from independent (cause) to dependent (effect) variable. ...

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