Determination of a Differential Item Functioning Procedure Using the Hierarchical Generalized Linear Model

The aim of this research is to compare the result of the differential item functioning (DIF) determining with hierarchical generalized linear model (HGLM) technique and the results of the DIF determining with logistic regression (LR) and item response theory–likelihood ratio (IRT-LR) techniques on t...

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Main Author: Tülin Acar
Format: Article
Language:English
Published: SAGE Publishing 2012-01-01
Series:SAGE Open
Online Access:https://doi.org/10.1177/2158244012436760
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spelling doaj-1013104624934443b7f1b89a4713e4e42020-11-25T03:49:53ZengSAGE PublishingSAGE Open2158-24402012-01-01210.1177/215824401243676010.1177_2158244012436760Determination of a Differential Item Functioning Procedure Using the Hierarchical Generalized Linear ModelTülin Acar0Parantez Education Research Consultancy Center, Ankara, TurkeyThe aim of this research is to compare the result of the differential item functioning (DIF) determining with hierarchical generalized linear model (HGLM) technique and the results of the DIF determining with logistic regression (LR) and item response theory–likelihood ratio (IRT-LR) techniques on the test items. For this reason, first in this research, it is determined whether the students encounter DIF with HGLM, LR, and IRT-LR techniques according to socioeconomic status (SES), in the Turkish, Social Sciences, and Science subtest items of the Secondary School Institutions Examination. When inspecting the correlations among the techniques in terms of determining the items having DIF, it was discovered that there was significant correlation between the results of IRT-LR and LR techniques in all subtests; merely in Science subtest, the results of the correlation between HGLM and IRT-LR techniques were found significant. DIF applications can be made on test items with other DIF analysis techniques that were not taken to the scope of this research. The analysis results, which were determined by using the DIF techniques in different sample sizes, can be compared.https://doi.org/10.1177/2158244012436760
collection DOAJ
language English
format Article
sources DOAJ
author Tülin Acar
spellingShingle Tülin Acar
Determination of a Differential Item Functioning Procedure Using the Hierarchical Generalized Linear Model
SAGE Open
author_facet Tülin Acar
author_sort Tülin Acar
title Determination of a Differential Item Functioning Procedure Using the Hierarchical Generalized Linear Model
title_short Determination of a Differential Item Functioning Procedure Using the Hierarchical Generalized Linear Model
title_full Determination of a Differential Item Functioning Procedure Using the Hierarchical Generalized Linear Model
title_fullStr Determination of a Differential Item Functioning Procedure Using the Hierarchical Generalized Linear Model
title_full_unstemmed Determination of a Differential Item Functioning Procedure Using the Hierarchical Generalized Linear Model
title_sort determination of a differential item functioning procedure using the hierarchical generalized linear model
publisher SAGE Publishing
series SAGE Open
issn 2158-2440
publishDate 2012-01-01
description The aim of this research is to compare the result of the differential item functioning (DIF) determining with hierarchical generalized linear model (HGLM) technique and the results of the DIF determining with logistic regression (LR) and item response theory–likelihood ratio (IRT-LR) techniques on the test items. For this reason, first in this research, it is determined whether the students encounter DIF with HGLM, LR, and IRT-LR techniques according to socioeconomic status (SES), in the Turkish, Social Sciences, and Science subtest items of the Secondary School Institutions Examination. When inspecting the correlations among the techniques in terms of determining the items having DIF, it was discovered that there was significant correlation between the results of IRT-LR and LR techniques in all subtests; merely in Science subtest, the results of the correlation between HGLM and IRT-LR techniques were found significant. DIF applications can be made on test items with other DIF analysis techniques that were not taken to the scope of this research. The analysis results, which were determined by using the DIF techniques in different sample sizes, can be compared.
url https://doi.org/10.1177/2158244012436760
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