Tests of Equivalence for One-Way Independent Groups Designs.

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Bibliographic Details
Title: Tests of Equivalence for One-Way Independent Groups Designs.
Authors: Cribbie, RobertA. (AUTHOR), Arpin-Cribbie, ChantalA. (AUTHOR), Gruman, JamieA. (AUTHOR)
Source: Journal of Experimental Education. Fall2009, Vol. 78 Issue 1, p1-13. 13p.
Subjects: Equivalence classes (Set theory), Group Environment Scale, Monte Carlo method, Measurement-model comparison, Experimental design, Mathematical models, Experimental methods in education, Statistical research, Educational statistics
Abstract: Researchers in education are often interested in determining whether independent groups are equivalent on a specific outcome. Equivalence tests for 2 independent populations have been widely discussed, whereas testing for equivalence with more than 2 independent groups has received little attention. The authors discuss alternatives for testing the equivalence of more than 2 independent populations, and they use a Monte Carlo study to demonstrate and compare the performance of these alternatives under several conditions. The results indicate that a 1-way test (e.g., Wellek's F test) is recommended for assessing the equivalence of more than 2 independent groups because approaches based on conducting pairwise tests of equivalence are overly conservative. [ABSTRACT FROM AUTHOR]
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Database: Psychology and Behavioral Sciences Collection
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Abstract:Researchers in education are often interested in determining whether independent groups are equivalent on a specific outcome. Equivalence tests for 2 independent populations have been widely discussed, whereas testing for equivalence with more than 2 independent groups has received little attention. The authors discuss alternatives for testing the equivalence of more than 2 independent populations, and they use a Monte Carlo study to demonstrate and compare the performance of these alternatives under several conditions. The results indicate that a 1-way test (e.g., Wellek's F test) is recommended for assessing the equivalence of more than 2 independent groups because approaches based on conducting pairwise tests of equivalence are overly conservative. [ABSTRACT FROM AUTHOR]
ISSN:00220973
DOI:10.1080/00220970903224552