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ERIC Number: EJ762069
Record Type: Journal
Publication Date: 2007
Pages: 23
Abstractor: Author
Reference Count: 32
ISSN: ISSN-0013-1644
Comparative Robustness of Recent Methods for Analyzing Multivariate Repeated Measures Designs
Seco, Guillermo Vallejo; Gras, Jaime Arnau; Garcia, Manuel Ato
Educational and Psychological Measurement, v67 n3 p410-432 2007
This study evaluated the robustness of two recent methods for analyzing multivariate repeated measures when the assumptions of covariance homogeneity and multivariate normality are violated. Specifically, the authors' work compares the performance of the modified Brown-Forsythe (MBF) procedure and the mixed-model procedure adjusted by the Kenward-Roger solution available in SAS PROC MIXED. The authors found that, overall, the MBF procedure appeared to be the least sensitive to the factors examined in the present study; however, this is not necessarily the case for all data sets. As the results show, for tests of the between-subjects main effect, the MBF approach outperformed the mixed-model method when fitting either a patterned or nonpatterned covariance structure. But for tests of within-subjects effects, its Type I error control advantages decrease. Sample SAS Commands are appended. (Contains 5 tables.)
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Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A