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Dergiler / Eurasian Journal of Educational Research / 2018 / Cilt: 74 - Sayı: 74

Determining Differential Item Functioning with the Mixture Item Response Theory

Seher YALÇIN
Sayfa
187–206
Yayın Tarihi
2022-10-18
DOI
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This finding suggests that the gender variable,which is frequently used as the observed group in DIF studies, should not be dealt with alone.Implications for Research and Practice: Since it is difficult to state whether an item isadvantageous for a subgroup when DIF is determined in accordance with known groups, it isrecommended to employ the latent class approach to determine DIF.

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Amaç & Hipotez:Purpose: Studies in the literature have generallydemonstrated that the causes of differential itemfunctioning (DIF) are complex and not directlyrelated to defined groups.
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Temel Bulgular & Veri:Inaccordance with the purposive sampling method, theresearch sample consisted of 1166 fourth-grade level students from Singapore, Kuwait, andTurkey who participated in the Trends in International Mathematics and Science Studymathematics application and took the sixth booklet.
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Sonuç & Katkı:This finding suggests that the gender variable,which is frequently used as the observed group in DIF studies, should not be dealt with alone.Implications for Research and Practice: Since it is difficult to state whether an item isadvantageous for a subgroup when DIF is determined in accordance with known groups, it isrecommended to employ the latent class approach to determine DIF.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

Purpose: Studies in the literature have generallydemonstrated that the causes of differential itemfunctioning (DIF) are complex and not directlyrelated to defined groups. The purpose of this studyis to determine the DIF according to the mixture item response theory (MixIRT) model, based on the latent group approach, as well as the Mantel-Haenszel method, based on the observed group approach, compare the results, and determine the possiblecauses of the DIF. Research Methods: As this studyis contributing to the production of information todevelop the theory, it is considered basic research. Inaccordance with the purposive sampling method, theresearch sample consisted of 1166 fourth-grade level students from Singapore, Kuwait, andTurkey who participated in the Trends in International Mathematics and Science Studymathematics application and took the sixth booklet. During the data analysis, the model thatadapted the data according to MixIRT was determined. Then, the status of the itemsdisplaying DIF was determined according to the adaptive model. Findings: According to theMixIRT, the two latent class models fit best to the data. No significant difference by genderwas observed in either class or any country. This finding suggests that the gender variable,which is frequently used as the observed group in DIF studies, should not be dealt with alone.Implications for Research and Practice: Since it is difficult to state whether an item isadvantageous for a subgroup when DIF is determined in accordance with known groups, it isrecommended to employ the latent class approach to determine DIF.

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Bu Makaleye Atıf Yap

YALÇIN, S. (2022). Determining Differential Item Functioning with the Mixture Item Response Theory. Eurasian Journal of Educational Research, Cilt: 74 - Sayı: 74, 187–206. https://ajindex.com/articles/507141

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Kaynakça (2)

  1. Camilli, G., & Shepard, L. A. (1994). MMSS: Methods for identifying biased test items. Thousand Oaks, CA: Sage. Cho, S. J., & Cohen, A. S. (2010). A multilevel mixture IRT model with an application to DIF. Journal of Educational and Behavioral Statistics, 35(3), 336-370. doi: 10.3102/1076998609353111. Choi, Y., Alexeev, N., & Cohen, A. S. (2015). Differential item functioning analysis using a mixture 3-parameter logistic model with a covariate on the TIMSS 2007 mathematics test. International Journal of Testing, 15(3), 239-253. doi: 10.1080/15305058.2015.1007241. Clark, S. L. (2010). Mixture modeling with behavioral data. Unpublished doctoral dissertation. University of California, Los Angeles. Clauser, B. E., & Mazor, K. M. (1998). Using statistical procedures to identify differentially functioning test items. Educational Measurement: Issues and Practice, 17(1), 31-44. doi: 10.1111/j.1745-3992.1998.tb00619.x Cohen, A. S., & Bolt, D. M. (2005). A mixture model analysis of differential item functioning. Journal of Educational Measurement, 42(2), 133–148. doi: 10.1111/j.1745-3984.2005.00007. Cohen, A. S., Gregg, N., & Deng, M. (2005). The role of extended time and item content on a high-stakes mathematics test. Learning Disabilities Research & Practice, 20(4), 225–233. doi: 10.1111/j.1540-5826.2005.00138.x. De Ayala, R. J. (2009). The theory and practice of item response theory. New York, NY: Guilford Press.
  2. De Ayala, R. J., Kim, S. H., Stapleton, L. M., & Dayton, C. M. (2002). Differential item functioning: A mixture distribution conceptualization. International Journal of Testing, 2(3&4), 243-276. doi: 10.1080/15305058.2002.9669495. De Ayala, R. J. & Santiago, S. Y. (2017). An introduction to mixture item response theory models. Journal of School Psychology, 60, 25–40. doi: 10.1016/j.jsp.2016.01.002. De Mars, C. E., & Lau, A. (2011). Differential item functioning detection with latent classes: How accurately can we detect who is responding differentially? Educational and Psychological Measurement, 71(4), 597–616. doi: 10.1177/0013164411404221. Dorans, N. J., & Holland, P. W. (1993). DIF detection and description: Mantel haenszel and standardization. In P. W. Holland, and H. Wainer, (Eds.), Differential item functioning (p. 35–66), New Jersey: USA. Embretson, S. E., & Reise, S. P. (2000). Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum Associates. Finch, W. H. & Finch, M. E. H. (2013). Investigation of specific learning disability and t