Transcription of AN INTRODUCTION TO MULTIVARIATE STATISTICS
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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. Independent vs. Dependent Variables We shall generally continue to make use of the terms independent variable and dependent variable, but shall find the distinction between the two somewhat blurred in MULTIVARIATE designs, especially those observational rather than experimental in nature.
An Introduction to Multivariate Statistics ... It often seems much too easy to find whatever you wish to find in any data using various multivariate fishing trips. Even within one general type of multivariate analysis, such as multiple regression or factor analysis, there may be such a variety of “ways to go” that two analyzers may ...
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