Analyzing Repeated Measures Designs Using Univariate and Multivariate Methods [microform] : A Primer / Jesus Tanguma
- Bib ID:
- 5623264
- Format:
- Book and Microform
- Author:
- Tanguma, Jesus
- Online Version:
- https://eric.ed.gov/?id=ED426088
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- Description:
-
- [Washington D.C.] : Distributed by ERIC Clearinghouse, 1999
- 35 p.
- Summary:
-
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)
- Notes:
-
- ERIC Note: Paper presented at the Annual Meeting of the Southwest Educational Research Association (San Antonio, TX, January 21-23, 1999).
- May also be available online. Address as at 14/8/18: https://eric.ed.gov/
- Reproduction:
- Microfiche. [Washington D.C.]: ERIC Clearinghouse microfiches : positive.
- Subject:
- Genre/Form:
- Available From:
- ERIC
- Copyright:
-
In Copyright
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- Material type:
- Literary, dramatic or musical work
- Published status:
- Published
- Publication date:
- 1999
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