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Direct linkMoses, Tim; Miao, Jing; Dorans, Neil J. – Journal of Educational and Behavioral Statistics, 2010
In this study, the accuracies of four strategies were compared for estimating conditional differential item functioning (DIF), including raw data, logistic regression, log-linear models, and kernel smoothing. Real data simulations were used to evaluate the estimation strategies across six items, DIF and No DIF situations, and four sample size…
Descriptors: Test Bias, Statistical Analysis, Computation, Comparative Analysis
Download full textPuhan, Gautam; Moses, Tim P.; Yu, Lei; Dorans, Neil J. – ETS Research Report Series, 2007
The purpose of the current study was to examine whether log-linear smoothing of observed score distributions in small samples results in more accurate differential item functioning (DIF) estimates under the simultaneous item bias test (SIBTEST) framework. Data from a teacher certification test were analyzed using White candidates in the reference…
Descriptors: Test Bias, Computation, Sample Size, Accuracy
