We provide an expository presentation of multivariate analysis of variance (MANOVA) for both consumers of research and investigators by capitalizing on its relation to univariate analysis of variance models. We address several questions: (a) Why should one use MANOVA. 9 (b) What is the structure of MANOVA? (C) How are MANOVA test statistics obtained and interpreted? (d) How are MANOVA follow-up...

This paper considers testing the equality of multiple high-dimensional mean vectors under dependency. We propose a test that is based on a linear transformation of the data by the precision matrix which incorporates the dependence structure of the variables. The limiting null distribution of the test statistic is derived and is shown to be the extreme value distribution of type I. The convergen...

Reviews of statistical procedures (e.g., Bangert & Baumberger, 2005; Kieffer, Reese, & Thompson, 2001; Warne, Lazo, Ramos, & Ritter, 2012) show that one of the most common multivariate statistical methods in psychological research is multivariate analysis of variance (MANOVA). However, MANOVA and its associated procedures are often not properly understood, as demonstrated by the fact that few o...

skillful performance in soccer requires not only sound techniques but also quickand accurate decision making. these decisions are usually made in variousintensities of practice and performance. the main aim of this study was toinvestigate the effect of different levels of arousal and training intensity on decisionmaking (speed and accuracy) of expert female soccer players. for this purpose, 16e...

A graphical representation of the multivariate analysis of variance (MANOVA) is proposed. This representation, termed a "MANOVAMAP," shows the magnitude of MANOVA model effects and their statistical significance in an easily interpreted statistical graphic. The use and construction of MANOVAMAPs is discussed for an empirical example, and is compared with both a traditional MANOVA analysis of th...