A Generalized Logistic Regression Procedure to Detect Differential Item Functioning Among Multiple Groups.

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Title: A Generalized Logistic Regression Procedure to Detect Differential Item Functioning Among Multiple Groups.
Authors: Magis, David (AUTHOR), Raîche, Gilles (AUTHOR), Béland, Sébastien (AUTHOR), Gérard, Paul (AUTHOR)
Source: International Journal of Testing. Oct-Dec2011, Vol. 11 Issue 4, p365-386. 22p.
Subjects: Logistic regression analysis, Language ability testing, Psychometrics, Groups, Regression analysis
Abstract: We present an extension of the logistic regression procedure to identify dichotomous differential item functioning (DIF) in the presence of more than two groups of respondents. Starting from the usual framework of a single focal group, we propose a general approach to estimate the item response functions in each group and to test for the presence of uniform DIF, nonuniform DIF, or both. This generalized procedure is compared to other existing DIF methods for multiple groups with a real data set on language skill assessment. Emphasis is put on the flexibility, completeness, and computational easiness of the generalized method. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Testing 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: A Generalized Logistic Regression Procedure to Detect Differential Item Functioning Among Multiple Groups.
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  Data: <searchLink fieldCode="AR" term="%22Magis%2C+David%22">Magis, David</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Raîche%2C+Gilles%22">Raîche, Gilles</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Béland%2C+Sébastien%22">Béland, Sébastien</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gérard%2C+Paul%22">Gérard, Paul</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Testing%22">International Journal of Testing</searchLink>. Oct-Dec2011, Vol. 11 Issue 4, p365-386. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Language+ability+testing%22">Language ability testing</searchLink><br /><searchLink fieldCode="DE" term="%22Psychometrics%22">Psychometrics</searchLink><br /><searchLink fieldCode="DE" term="%22Groups%22">Groups</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis%22">Regression analysis</searchLink>
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  Label: Abstract
  Group: Ab
  Data: We present an extension of the logistic regression procedure to identify dichotomous differential item functioning (DIF) in the presence of more than two groups of respondents. Starting from the usual framework of a single focal group, we propose a general approach to estimate the item response functions in each group and to test for the presence of uniform DIF, nonuniform DIF, or both. This generalized procedure is compared to other existing DIF methods for multiple groups with a real data set on language skill assessment. Emphasis is put on the flexibility, completeness, and computational easiness of the generalized method. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Testing 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: 10.1080/15305058.2011.602810
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        Text: English
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      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Language ability testing
        Type: general
      – SubjectFull: Psychometrics
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      – SubjectFull: Groups
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      – SubjectFull: Regression analysis
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      – TitleFull: A Generalized Logistic Regression Procedure to Detect Differential Item Functioning Among Multiple Groups.
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              Text: Oct-Dec2011
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              Y: 2011
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