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ERIC Number: ED330700
Record Type: RIE
Publication Date: 1990-Oct
Reference Count: N/A
Causes of Multivariate Significance in a Multivariate Analysis of Variance.
Elliott, Ron; Barcikowski, Robert
Different ways that dependent variables can cause multivariate significance are illustrated. It is argued that univariate tests should not be used as follow-up procedures to identify the variables that can contribute to multivariate significance. Methods that can be used to determine the contributions individual variables make to multivariate significance are discussed. Two-group multivariate analysis of variance (MANOVA) with two dependent variables is described; a significant multivariate test under three conditions of univariate significance is considered: (1) with both dependent variables significant; (2) with one dependent variable significant; and (3) with both dependent variables not significant. The relationships among the variables in these conditions yield 11 different situations. The data illustrate: multivariate significance can be caused under a variety of relationships; it is improper to interpret univariate analysis of variance results to find the causes of multivariate significance. The use of discriminant analysis and stepwise discriminant analysis is demonstrated as a valuable tool in considering the contributions of dependent variables to multivariate significance. Three tables illustrate the 11 situations, and Appendix A details the process used to create each situation. (SLD)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Authoring Institution: N/A
Identifiers: Dependent Variables; Univariate Analysis
Note: Paper presented at the Annual Meeting of the Midwestern Educational Research Association (12th, Chicago, IL, October 17-19, 1990).