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Differential Item Functioning

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  • Choi, S. W., Gibbons, L. E., & Crane, P. K. (2011). lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. Journal of Statistical Software, 39(8), 1–30.

    Article  PubMed  PubMed Central  Google Scholar 

  • Crane, P. K., Gibbons, L. E., Ocepek-Welikson, K., Cook, K., Cella, D., Narasimhalu, K., et al. (2007). A comparison of three sets of criteria for determining the presence of differential item functioning using ordinal logistic regression. Quality of Life Research, 16(Suppl 1), 69–84. doi:10.1007/s11136-007-9185-5.

    Article  PubMed  Google Scholar 

  • Hambleton, R. K. (2006). Good practices for identifying differential item functioning. Medical Care, 44(11 Suppl 3), S182–S188. doi:10.1097/01.mlr.0000245443.86671.c4.

    Article  PubMed  Google Scholar 

  • Liu, I. M., & Agresti, A. (1996). Mantel-Haenszel-type inference for cumulative odds ratios with a stratified ordinal response. Biometrics, 52(4), 1223–1234. doi:10.2307/2532838.

    Article  PubMed  Google Scholar 

  • Mantel, N., & Haenszel, W. (1959). Statistical aspects of the analysis of data from retrospective studies of disease. Journal of the Natlonal Cancer Institute, 22(4), 719–748.

    Google Scholar 

  • Penfield, R. D., & Algina, J. (2003). Applying the Liu-Agresti estimator of the cumulative common odds ratio to DIF detection in polytomous items. Journal of Educational Measurement, 40(4), 353–370. doi:10.1111/j.1745-3984.2003.tb01151.x.

    Article  Google Scholar 

  • Penfield, R. D., & Camilli, G. (2007). Differential item functioning and item bias. In C. R. Rao & S. Sinharay (Eds.), Handbook of statistics (Vol. 26, pp. 125–167). Amsterdam, The Netherlands: North-Holland.

    Google Scholar 

  • Rost, J., & von Davier, M. (1995). Mixture distribution Rasch models. In G. H. Fischer & I. W. Molenaar (Eds.), Rasch Models: Foundations, recent developments, and applications (pp. 257–268). New York: Springer.

    Chapter  Google Scholar 

  • Zieky, M. (1993). Practical questions in the use of DIF statistics in item development. In P. W. Holland & H. Wainer (Eds.), Differential item functioning (pp. 337–347). Hillsdale, NJ: Lawrence Erlbaum.

    Google Scholar 

  • Zwick, R. (2012). A review of ETS differential item functioning assessment procedures: Flagging rules, minimum sample size requirements, and criterion refinement ETS research report (Vol. ETS RR-12-08). Princeton, NJ: Educational Testing Service.

    Google Scholar 

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Correspondence to Eunike Wetzel .

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Wetzel, E., Böhnke, J.R. (2017). Differential Item Functioning. In: Zeigler-Hill, V., Shackelford, T. (eds) Encyclopedia of Personality and Individual Differences. Springer, Cham. https://doi.org/10.1007/978-3-319-28099-8_1297-1

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  • DOI: https://doi.org/10.1007/978-3-319-28099-8_1297-1

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