Penelitian ini bertujuan untuk mengetahui urutan sensitivitas dan ketepatan deteksi DIF antara metode Mantel-Haenszel, regresi logistik, SIBTEST, dan perbedaan peluang, baik secara keseluruhan maupun jika ditinjau dari distribusi kemampuan peserta tes ...
Budiono Budiono
doaj +5 more sources
A Comparative Analysis of the Efficacy of Differential Item Functioning Detection for Dichotomously Scored Items among Logistic Regression, SIBTEST and Raschtree Methods [PDF]
AbstractA variety of statistical methods is available for detecting Differential Item Functioning (DIF) in the Rasch model. Most of these methods consist of two approaches. The first is based on the comparison of the item parametersestimate pre-specified groups of subjects.
Nuttaporn Lawthong
exaly +3 more sources
A Simulation and Empirical Study of Differential Test Functioning (DTF)
Detecting and understanding DTF is very important under various DIF conditions. In this study, the performance of DTF, DRF, SIBTEST, and CSIBTEST approaches in detecting DIF effects was investigated using a simulation study and a real dataset.
Güler Yavuz Temel
doaj +2 more sources
An analysis of the differential item function through Mantel-Haenszel, SIBTEST and Logistic Regression MethodsMantel-Haenszel, SIBTEST ve Lojistik Regresyon Yöntemleri ile değişen madde fonksiyonunu analizi [PDF]
This study performs a Differential Item Function (DIF) analysis in terms of gender and culture on the items available in the PISA 2009 mathematics literacy sub-test. The DIF analyses were done through the Mantel Haenszel, Logistic Regression and the SIBTEST methods.
Demir, Süleyman, Köse, İbrahim Alper
openaire +2 more sources
Çok boyutlu testlerde değişen madde öbeği fonksiyonunun SIBTEST yöntemiyle incelenmesi
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Özdoğan, Didem
openaire +4 more sources
Purification procedures used for the detection of gender DIF: Item bias in a foreign language test
Differential item functioning (DIF) detection was handled based on “Mantel-Haenszel (MH)”, “Simultaneous item bias test (SIBTEST)”, “Lord's chi-square”, “Raju's area” methods when item purification was performed or item purification was not performed ...
Serap Büyükkıdık
doaj +1 more source
Detecting Differential Item Functioning in 2PL Multistage Assessments
The detection of differential item functioning is crucial for the psychometric evaluation of multistage tests. This paper discusses five approaches presented in the literature: logistic regression, SIBTEST, analytical score-based tests, bootstrap score ...
Rudolf Debelak +3 more
doaj +1 more source
Abstract Test developers and psychometricians have historically examined measurement bias and differential item functioning (DIF) across a single categorical variable (e.g., gender), independently of other variables (e.g., race, age, etc.). This is problematic when more complex forms of measurement bias may adversely affect test responses and ...
William C. M. Belzak
wiley +1 more source
Detecting Differential Item Functioning Using SIBTEST, MH, LR and IRT Methods
In this study, differential item functioning (DIF) and differential bundle functioning (DBF) analyses of the Academic Staff and Postgraduate Education Entrance Examination Quantitative Ability Tests were carried out. Mantel-Haenszel, logistic regression, SIBTEST, Item Response Theory-Likelihood Ratio and BILOG-MG DIF Algorithm methods were used for DIF
Zafer ÇEPNİ, Hülya KELECİOĞLU
openaire +4 more sources
Thepurpose of this study is to determine whether English test items ofUndergraduate Placement Exam (UPE) in 2016 containdifferential item functioning (DIF) and differential bundle functioning (DBF)in terms of gender and school type and examine the ...
Rabia Akcan, Kübra Atalay Kabasakal
doaj +1 more source

