Analysis of Multiple Dependent Variables (Pocket Guides to by Patrick Dattalo

By Patrick Dattalo

This pocket consultant offers a concise, useful, and cost-efficient advent to 4 strategies for the research of a number of based variables: multivariate research of variance (MANOVA), multivariate research of covariance (MANCOVA), multivariate a number of regression (MMR), and structural equation modeling (SEM).

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The Tukey’s HSD (Honestly Significant Difference) test. The Tukey HSD uses a sampling distribution called the Studentized Range or Student’s q, which is similar to a t-distribution (Tukey, 1953). Like t, the q-distribution depends on the number of participants within groups, but the shape of this distribution also depends on k, the number of groups. As the number of groups increases, the number of pair-wise comparisons also increases. To protect against inflated risk of type I error, larger differences between group means are required for rejection of the null hypothesis as k increases.

Kowlowsky and Caspy (1991) observed that by applying the SDA to multiple sequences of the response variables a researcher may engage in meaningful data exploration and testing of multiple hypotheses. Research examining the performance of the SDA procedure, includes a Monte Carlo simulation by Subbaiah and Mudholkar (1978). 8 for most studied conditions. Stevens (1972) used both SDA and discriminant function analysis to compare four groups on eight response variables. The two methods yielded similar results in terms of identifying variables on which the groups differed, while the application of univariate ANOVAs produced a markedly different outcome.

HIRES = YES (the default) requests that high-resolution graphics be used when creating plots. You must set the graphics device (GOPTIONS DEVICE =) and 47 48 Analysis of Multiple Dependent Variables any other graphics-related options before invoking the macro. HIRES = NO requests that the multivariate plot be drawn with low-resolution. The univariate plots are not available with HIRES = NO. For these data, the following commands were used: 1. %inc “

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