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Differential Item Functioning in Large-scale Mathematics Assessments: Comparing the Capabilities of the Rasch Trees Model to Traditional Approaches

Liu, Mingyang, Liu
http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513266587329066

Abstract Details

2017, Doctor of Philosophy, University of Toledo, Educational Research and Measurements.
The purpose of this study was to compare the sensitivity, function, and outcome of the Rasch Trees DIF detection model as compared with two traditional models in the field: Logistic Regression model and the Rasch measurement model. Unlike traditional DIF detection approaches, the Rasch Trees model allows researchers to identify DIF using the reference and focal groups that are not pre-specified, but may emerge as a result of the combinations of the observed covariates using the variables selected for comparison. A sample of 731 U.S. eighth grade students who took the 2011 Trends of International Mathematics and Science Study (TIMSS) mathematics assessments was used in this study. The results indicated that the Rasch Trees model exhibited similar capability to identify DIF items as compared with Logistic Regression and the Rasch measurement model. In addition, a significant DIF related to ethnicity was identified using the Rasch Trees model. This indicated that DIF might be associated with student ethnic background, instead of gender that has been extensively studied in the literature, at least under the conditions of this study.
Gregory Stone (Committee Chair)
117 p.
Educational Tests and Measurements
differential item functioning; large-scale assessments; Rasch analysis; TIMSS

Recommended Citations

Citations

  • Liu, Liu, M. (2017). Differential Item Functioning in Large-scale Mathematics Assessments: Comparing the Capabilities of the Rasch Trees Model to Traditional Approaches [Doctoral dissertation, University of Toledo]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513266587329066

    APA Style (7th edition)

  • Liu, Liu, Mingyang. Differential Item Functioning in Large-scale Mathematics Assessments: Comparing the Capabilities of the Rasch Trees Model to Traditional Approaches. 2017. University of Toledo, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513266587329066.

    MLA Style (8th edition)

  • Liu, Liu, Mingyang. "Differential Item Functioning in Large-scale Mathematics Assessments: Comparing the Capabilities of the Rasch Trees Model to Traditional Approaches." Doctoral dissertation, University of Toledo, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1513266587329066

    Chicago Manual of Style (17th edition)

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This open access ETD is published by University of Toledo and OhioLINK.