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Moses, 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
Moses, Tim; Miao, Jing; Dorans, Neil – Educational Testing Service, 2010
This study compared the accuracies of four differential item functioning (DIF) estimation methods, where each method makes use of only one of the following: raw data, logistic regression, loglinear models, or kernel smoothing. The major focus was on the estimation strategies' potential for estimating score-level, conditional DIF. A secondary focus…
Descriptors: Test Bias, Statistical Analysis, Computation, Scores
Moses, Tim; Klockars, Alan – Educational Testing Service, 2009
The robustness and power of 9 strategies for testing the differences in groups' regression slopes were assessed under nonnormality and residual variance heterogeneity. For the conditions considered, the most robust strategies were the trimmed and Winsorized slope estimates used with the James second-order test, the Theil-Sen slope estimates used…
Descriptors: Evaluation Methods, Maximum Likelihood Statistics, Regression (Statistics), Robustness (Statistics)
Moses, Tim – ETS Research Report Series, 2008
Nine statistical strategies for selecting equating functions in an equivalent groups design were evaluated. The strategies of interest were likelihood ratio chi-square tests, regression tests, Kolmogorov-Smirnov tests, and significance tests for equated score differences. The most accurate strategies in the study were the likelihood ratio tests…
Descriptors: Equated Scores, Statistical Analysis, Statistical Significance, Regression (Statistics)

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