Liberal and Conservative Differential Item Functioning Detection Using Mantel-Haenszel and SIBTEST: Implications for Type I and Type II Error Rates.

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Title: Liberal and Conservative Differential Item Functioning Detection Using Mantel-Haenszel and SIBTEST: Implications for Type I and Type II Error Rates.
Authors: Fidalgo, Ángel M., Ferreres, Doris, Muñiz, José
Source: Journal of Experimental Education. Fall2004, Vol. 73 Issue 1, p23-39. 17p. 5 Charts.
Subjects: Error, Monte Carlo method, Simulation methods & models, Experimental design, Numerical analysis
Abstract: he aim of this work was to determine, in terms of Type I and Type II error rates, the risks of applying various statistical procedures for evaluating differential item functioning. To this end, the authors carried out a simulation study in which the Mantel-Haenszel and SIBTEST procedures were applied in conjunction. The variables manipulated were sample size and distribution of ability between groups. Results indicated that, although there was a high rate of agreement between the procedures, the joint Type I and Type II error rate may vary substantially from that obtained when each of the procedures was applied separately. Furthermore, the authors analyzed empirical data to obtain information complementary to the Monte Carlo study. Two strategies that minimize each type of error and some issues of a practical nature are discussed. [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.)
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  Data: Liberal and Conservative Differential Item Functioning Detection Using Mantel-Haenszel and SIBTEST: Implications for Type I and Type II Error Rates.
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  Data: <searchLink fieldCode="AR" term="%22Fidalgo%2C+Ángel+M%2E%22">Fidalgo, Ángel M.</searchLink><br /><searchLink fieldCode="AR" term="%22Ferreres%2C+Doris%22">Ferreres, Doris</searchLink><br /><searchLink fieldCode="AR" term="%22Muñiz%2C+José%22">Muñiz, José</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Error%22">Error</searchLink><br /><searchLink fieldCode="DE" term="%22Monte+Carlo+method%22">Monte Carlo method</searchLink><br /><searchLink fieldCode="DE" term="%22Simulation+methods+%26+models%22">Simulation methods & models</searchLink><br /><searchLink fieldCode="DE" term="%22Experimental+design%22">Experimental design</searchLink><br /><searchLink fieldCode="DE" term="%22Numerical+analysis%22">Numerical analysis</searchLink>
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  Data: he aim of this work was to determine, in terms of Type I and Type II error rates, the risks of applying various statistical procedures for evaluating differential item functioning. To this end, the authors carried out a simulation study in which the Mantel-Haenszel and SIBTEST procedures were applied in conjunction. The variables manipulated were sample size and distribution of ability between groups. Results indicated that, although there was a high rate of agreement between the procedures, the joint Type I and Type II error rate may vary substantially from that obtained when each of the procedures was applied separately. Furthermore, the authors analyzed empirical data to obtain information complementary to the Monte Carlo study. Two strategies that minimize each type of error and some issues of a practical nature are discussed. [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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RecordInfo BibRecord:
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        Value: 10.3200/JEXE.71.1.23-40
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      – Code: eng
        Text: English
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        PageCount: 17
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      – SubjectFull: Error
        Type: general
      – SubjectFull: Monte Carlo method
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      – SubjectFull: Simulation methods & models
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      – SubjectFull: Experimental design
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      – SubjectFull: Numerical analysis
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      – TitleFull: Liberal and Conservative Differential Item Functioning Detection Using Mantel-Haenszel and SIBTEST: Implications for Type I and Type II Error Rates.
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              Text: Fall2004
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              Y: 2004
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