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Tests of Equivalence for One-Way Independent Groups Designs.

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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]
Copyright of Journal of Experimental Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Tests of Equivalence for One-Way Independent Groups Designs.
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  Data: <searchLink fieldCode="DE" term="%22Equivalence+classes+%28Set+theory%29%22">Equivalence classes (Set theory)</searchLink><br /><searchLink fieldCode="DE" term="%22Group+Environment+Scale%22">Group Environment Scale</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Measurement-model+comparison%22">Measurement-model comparison</searchLink><br /><searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Experimental+methods+in+education%22">Experimental methods in education</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+research%22">Statistical research</searchLink><br /><searchLink fieldCode="DE" term="%22Educational+statistics%22">Educational statistics</searchLink>
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  Data: 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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  Data: <i>Copyright of Journal of Experimental Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/00220970903224552
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      – Code: eng
        Text: English
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        PageCount: 13
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      – SubjectFull: Equivalence classes (Set theory)
        Type: general
      – SubjectFull: Group Environment Scale
        Type: general
      – SubjectFull: Monte Carlo method
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      – SubjectFull: Measurement-model comparison
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      – SubjectFull: Experimental design
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      – SubjectFull: Mathematical models
        Type: general
      – SubjectFull: Experimental methods in education
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      – SubjectFull: Statistical research
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      – SubjectFull: Educational statistics
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      – TitleFull: Tests of Equivalence for One-Way Independent Groups Designs.
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              Text: Fall2009
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