Factors influencing the LR for detecting DIF in within-multidimensional data

Hui Fang CHEN, Kuan Yu JIN, Wen Chung WANG

Research output: Contribution to conferencePaper

Abstract

Simulations were conducted to investigate factors that influence the performance of the logistic regression method in assessing differential item functioning (DIF) for within-multidimensional data. Several factors were manipulated when non-uniform DIF exists. It was found that the matching variable significantly influenced the accurately detection rates under the bidirectional DIF pattern.
Original languageEnglish
Publication statusPublished - Apr 2015

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Citation

Chen, H.-F., Jin, K.-Y., & Wang, W.-C. (2015, April). Factors influencing the LR for detecting DIF in within-multidimensional data. Paper presented at The NCME 2015: 77th Annual Meeting of National Council on Measurement in Education, InterContinental Hotel, Chicago, Illinois.