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50 Years of ERIC
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Peer reviewed Peer reviewed
ERIC Number: EJ569553
Record Type: CIJE
Publication Date: 1998
Pages: N/A
Abstractor: N/A
Reference Count: 0
ISBN: N/A
ISSN: ISSN-0013-1644
Tests of Independence for Ordinal Data Using Bootstrap.
Chan, Wai; Yung, Yiu-Fai; Bentler, Peter M.; Tang, Man-Lai
Educational and Psychological Measurement, v58 n2 p221-40 Apr 1998
Two bootstrap tests are proposed to test the independence hypothesis in a two-way cross table. Monte Carlo studies are used to compare the traditional asymptotic test with these bootstrap methods, and the bootstrap methods are found superior in two ways: control of Type I error and statistical power. (SLD)
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers: Asymptotic Distributions; Bootstrap Methods; Independence Model; Type I Errors
Note: Research partly supported by grants DA01070 and DA00017 from the U.S. Public Health Service.