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  • Gazi Üniversitesi Eğitim Fakültesi Dergisi
  • Volume:43 Issue:2
  • An Investigation of Item Response Theory Parameter Estimations and Reliability in Multiple Groups

An Investigation of Item Response Theory Parameter Estimations and Reliability in Multiple Groups

Authors : Serap BÜYÜKKIDIK, Hatice İNAL
Pages : 825-855
Doi:10.17152/gefad.1202751
View : 52 | Download : 82
Publication Date : 2023-09-02
Article Type : Research Paper
Abstract :This study aimed to investigate the parameters estimation of item response theory insert ignore into journalissuearticles values(IRT); and their reliability in the context of binary data across multiple groups derived from the same population. Within the scope of the research, 2017 insert ignore into journalissuearticles values(April); mathematics subtest of the Transition from Primary to Secondary Education exam insert ignore into journalissuearticles values(TPSEE); was used. The dataset encompassed 7500 students as a single-sample subgroup and 3750 students distributed across two subgroups. In the research, IRT assumptions were examined first. After meeting the assumptions, item and ability estimations were performed with 1PLM, 2PLM, 3PLM, and 4PLM for dichotomous data. When the model data fits were examined, it was found that the best fit was obtained with 3PLM in all conditions. It was observed that the item parameters did not differ significantly as the sample changed. The a and b parameters differ according to the different IRT models. While there is a partial difference between the ability parameters as the samples change, there are also differences as the models change. Minor differences have been observed among the ability parameters obtained through ability estimation methods insert ignore into journalissuearticles values(Expected A Posteriori insert ignore into journalissuearticles values(EAP); and Maximum A Posteriori insert ignore into journalissuearticles values(MAP););. The marginal reliability coefficients were similar in all conditions. It is recommended that researchers perform parameter estimation with which have the best model data fit out of 3PLM or 4PLM to provide more information while performing analysis in IRT.
Keywords : MTK, Temel eğitimden ortaöğretime geçiş, Çoklu grup, parametre kestirimi

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