Analysis of Multiple Dependent Variables

Analysis of Multiple Dependent Variables

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This pocket guide provides a concise, practical, and economical introduction to four procedures for the analysis of multiple dependent variables: multivariate analysis of variance (MANOVA), multivariate analysis of covariance (MANCOVA), multivariate multiple regression (MMR), and structural equation modeling (SEM).The power of a test, therefore, is defined as 1 a€” beta ([3), where [3 (or type II error) is the probability of falsely ... Also, power is a function of effect size (i.e., the true alternative hypothesis, such as an expected difference between groups, how small the effect can be and still be of ... and demonstrated in the annotated example below is to use GPower, which is a free power analysis program available atanbsp;...

Title:Analysis of Multiple Dependent Variables
Author:Patrick Dattalo
Publisher:Oxford University Press - 2013-03-14


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