A Comparison of Data Analysis Strategies for Testing Omnibus Effects in Higher-Order Repeated Measures Designs.

Keselman, H. J.; Algina, James; Kowalchuk, Rhonda K.

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Peer reviewed

ERIC Number: EJ660255

Record Type: Journal

Publication Date: 2002

Pages: N/A

Abstractor: N/A

ISBN: N/A

ISSN: ISSN-0027-3171

EISSN: N/A

A Comparison of Data Analysis Strategies for Testing Omnibus Effects in Higher-Order Repeated Measures Designs.

Keselman, H. J.; Algina, James; Kowalchuk, Rhonda K.

Multivariate Behavioral Research, v37 n3 p331-358 2002

Reviews methods for analyzing repeated measures data in addition to the conventional and corrected degrees of freedom univariate and multivariate solutions. Reviews the literature regarding recent procedures with respect to robustness, ability to handle missing data, and availability of software to obtain numerical results. (SLD)

Descriptors: Comparative Analysis, Computer Software, Data Analysis, Robustness (Statistics)

Publication Type: Information Analyses; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A