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ERIC Number: ED450155
Record Type: Non-Journal
Publication Date: 2001-Feb
Pages: 31
Abstractor: N/A
Reference Count: N/A
Evaluating Assumptions of Multivariate Normality.
George, Carrie A.
Multivariate techniques have been implemented with greater and greater frequency. In order to use multivariate techniques researchers must understand the fundamental assumptions. The purpose of this paper is to evaluate one of the assumptions of multivariate analysis, normality. Overall, normal distributions are unimodal and symmetrical, and they have coefficients of skewness and kurtosis equal to 0. The specific requirements for univariate and multivariate normality are discussed. Graphical and statistical techniques are reviewed that estimate univariate, bivariate, and multivariate normality. The use of specialized computer programs for multivariate normality is also discussed. An appendix contains the Statistical Package for the Social Sciences syntax for evaluating multivariate normality. (Contains 2 tables, 7 figures, and 13 references.) (Author/SLD)
Publication Type: Reports - Descriptive; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A