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ERIC Number: ED426088
Record Type: Non-Journal
Publication Date: 1999-Jan
Pages: 35
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
Analyzing Repeated Measures Designs Using Univariate and Multivariate Methods: A Primer.
Tanguma, Jesus
Similarities and differences in the univariate and multivariate analysis of repeated measures designs are discussed, using a hypothetical data set studying the effects of practice on the algebra performance of four students to illustrate both methods. When data are analyzed through the univariate approach and the homogeneity assumption is violated, three correcting factors are presented. When data are analyzed using the multivariate approach, the homogeneity assumption is not necessary. The paper also presents the effects on Type I and Type II error rates of violating or not violating the assumption of homogeneity of variance. Each approach has its own assumptions to meet, but the sphericity assumption of the univariate approach is almost always violated. Even when the normality assumption of the multivariate approach is violated, such violations are generally regarded as less serious than violations of the sphericity assumption. When the researcher's concern is committing a Type I or Type II error, and several assumptions hold, the multivariate approach is suggested. (Contains 11 tables, 2 figures, and 11 references.) (SLD)
Publication Type: Numerical/Quantitative Data; Reports - Descriptive; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A