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Hafdahl, Adam R. – Journal of Educational and Behavioral Statistics, 2007
The originally proposed multivariate meta-analysis approach for correlation matrices--analyze Pearson correlations, with each study's observed correlations replacing their population counterparts in its conditional-covariance matrix--performs poorly. Two refinements are considered: Analyze Fisher Z-transformed correlations, and substitute better…
Descriptors: Monte Carlo Methods, Correlation, Meta Analysis, Matrices
Vallejo, Guillermo; Livacic-Rojas, Pablo – Multivariate Behavioral Research, 2005
This article compares two methods for analyzing small sets of repeated measures data under normal and non-normal heteroscedastic conditions: a mixed model approach with the Kenward-Roger correction and a multivariate extension of the modified Brown-Forsythe (BF) test. These procedures differ in their assumptions about the covariance structure of…
Descriptors: Computation, Multivariate Analysis, Sample Size, Matrices
Peer reviewedMcLinden, Daniel J.; Jinkerson, Darryl L. – Evaluation and Program Planning, 1994
Two case studies, a study of retention of health care personnel and a study of internal organizational communication, are presented that illustrate the application of multidimensional unfolding (MDU) and mapping to organizational concerns. This approach to multivariate analysis allows clients and stakeholders to picture the results of complex…
Descriptors: Case Studies, Decision Making, Evaluation Methods, Evaluation Utilization

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