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| Multivariate Behavioral… | 5 |
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Peer reviewedKeselman, H. J. – Multivariate Behavioral Research, 1982
The need for multiple comparison procedures for repeated measures means employing a pooled estimate of error variance to conform to the sphericity assumptions of the design in order to provide a valid test is discussed. An alternative approach which does not require this assumption is presented. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Research Design
Peer reviewedHuberty, Carl J.; Smith, Jerry D. – Multivariate Behavioral Research, 1982
A particular strategy for investigating effects from a multivariate analysis of variance (MANOVA) is proposed. The strategy involves multiple two-group multivariate analyses. The analysis strategy is described in detail and illustrated with real data sets. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Multivariate Analysis, Research Design
Peer reviewedDickinson, Terry L.; Wolens, Leroy – Multivariate Behavioral Research, 1974
Descriptors: Algorithms, Analysis of Variance, Computer Programs, Matrices
Peer reviewedPavur, Robert; Nath, Ravinder – Multivariate Behavioral Research, 1984
Several general correlation patterns are shown which give exact F tests in an analysis of variance (ANOVA) procedure. They are the most general correlation patterns one can assume in a one-way and two-way layout and still have the F tests be valid. (Author/BW)
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Data Interpretation
Peer reviewedWilliams, John Delane – Multivariate Behavioral Research, 1991
A proposed solution for the age x cohort x period issue in lifespan research uses all data, even with missing cells; can be used for repeated measures designs or designs in which new subjects are measured at each period; and allows assessment of each main effect and two-way interaction. (SLD)
Descriptors: Age, Analysis of Variance, Cohort Analysis, Data Interpretation
