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Multivariate Analysis of Variance
Journal of Marketing Research, 1987Introduction to Multivariate Analysis of Variance Omnibus MANOVA Tests Analyzing and Interpreting Significant MANOVAs Causal Models Underlying MANOVA Analyses Complex Designs Overview of Computer Programs for ...
D. D. V. Morgan +2 more
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Multivariate Analysis of Variance (MANOVA)
Biometrics, 1962Theoretical results, mostly in the areas of tests of significance and estimation, have been available for some time now for certain problems of MANOVA. [e.g. 6, 9, 10, 11, 14, 16, 17, 19, 26]. It must, of course, be recognized that most of these theoretical results on estimation and tests of significance are useful in applications only as tools for ...
Smith, H. +2 more
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Multivariate Analysis of Variance
2013Multivariate analysis of variance (MANOVA) allows an examination of potential mean differences between groups of one or more categorical independent variables (IVs), extending analysis of variance (ANOVA) to include several continuous dependent variables (DVs) (e.g., Grimm & Yarnold, 1995; Harlow, 2005; Maxwell & Delaney, 2004; Tabachnick & Fidell ...
Lisa L. Harlow, Sunny R. Duerr
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Multivariate Analysis of Variance
2012Multivariate analysis of variance (MANOVA) is an omnibus procedure that allows for the contemporaneous analysis of more than one dependent variable. Dependent variables are the outcome variables, or criteria, of a research design. Performance on neuropsychological tests—memory scores, reaction time, processing speed, the number of words generated on ...
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The multivariate analysis of variance
1980In this chapter the consideration of procedures based on normal distribution theory will be extended to the analysis of data arising from designed experiments. We shall find that the calculation of a multivariate analysis of variance (MANOVA) is essentially similar to the calculation of a univariate analysis of variance (ANOVA). However, the testing of
Christopher Chatfield +1 more
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Multivariate Analysis of Variance
1992This chapter and the next deal specifically with multivariate extensions of the analysis of variance. They are concerned with measures on more than one dependent variable. The two examples in Chapter 12 are illustrative. In Table 12.2 the experiment of Table 2.1 is extended to include measures of IQ and chronological age as well as of intellectual ...
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Variable Selection in the Multivariate Analysis of Variance (Manova)
Communications in Statistics - Simulation and Computation, 1975Heuristic arguments are used to propose sose procedures for the selection of variables in multivariate analysis of variance.A set of specific treatment structures are used to generate sample data for an evaluation of the effectiveness of the proposed procedures.
Farmer, J. H., Freund, R. J.
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The Polynomial Model in the Multivariate Analysis of Variance
Biometrical Journal, 1995AbstractAssuming that the independent variables (factors) are quantitative, there exist besides the coding schemes generally used for the multivariate analysis of variance (dummy‐coded or effect‐coded design matrices) the so‐called polynomial models.
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