Multivariate Analysis of Variance

نویسندگان

  • Richard F Haase
  • Michael V Ellis
چکیده

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 tests obtained and interpreted? (e) How is strength of association assessed in MANOVA. 9 (f) HOW should the results of MANOVA be presented? (g) Are there any alternatives to MANOVA. 9 We use an example data set throughout the article to illustrate these points.

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تاریخ انتشار 2001