Tests of Multivariate Independence: A Critical Analysis of "A Monte Carlo Study of Testing the Significance of Correlation Matrices" by Silver and Dunlap.

Fouladi, Rachel T.; Steiger, James H.

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Peer reviewed

ERIC Number: EJ485784

Record Type: Journal

Publication Date: 1993

Pages: N/A

Abstractor: N/A

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ISSN: ISSN-0013-1644

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Tests of Multivariate Independence: A Critical Analysis of "A Monte Carlo Study of Testing the Significance of Correlation Matrices" by Silver and Dunlap.

Fouladi, Rachel T.; Steiger, James H.

Educational and Psychological Measurement, v53 n4 p927-32 Win 1993

The test proposed by Brien, Venables, and Mayo (1984), endorsed by Silver and Dunlap, and supported by computer software that they developed is not a proper test for multivariate independence. A revised appraisal is suggested for the Silver and Dunlap results. (SLD)

Descriptors: Computer Software, Computer Software Development, Correlation, Matrices, Monte Carlo Methods, Multivariate Analysis, Statistical Significance, Statistical Studies

Publication Type: Information Analyses; Reports - Evaluative; Journal Articles

Education Level: N/A

Audience: N/A

Language: English

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Authoring Institution: N/A

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