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William C. M. Belzak; Daniel J. Bauer – Journal of Educational and Behavioral Statistics, 2024
Testing for differential item functioning (DIF) has undergone rapid statistical developments recently. Moderated nonlinear factor analysis (MNLFA) allows for simultaneous testing of DIF among multiple categorical and continuous covariates (e.g., sex, age, ethnicity, etc.), and regularization has shown promising results for identifying DIF among…
Descriptors: Test Bias, Algorithms, Factor Analysis, Error of Measurement
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Crompvoets, Elise A. V.; Béguin, Anton A.; Sijtsma, Klaas – Journal of Educational and Behavioral Statistics, 2020
Pairwise comparison is becoming increasingly popular as a holistic measurement method in education. Unfortunately, many comparisons are required for reliable measurement. To reduce the number of required comparisons, we developed an adaptive selection algorithm (ASA) that selects the most informative comparisons while taking the uncertainty of the…
Descriptors: Comparative Analysis, Statistical Analysis, Mathematics, Measurement
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Steiner, Peter M.; Cook, Thomas D.; Shadish, William R. – Journal of Educational and Behavioral Statistics, 2011
The effect of unreliability of measurement on propensity score (PS) adjusted treatment effects has not been previously studied. The authors report on a study simulating different degrees of unreliability in the multiple covariates that were used to estimate the PS. The simulation uses the same data as two prior studies. Shadish, Clark, and Steiner…
Descriptors: Statistical Bias, Reliability, Measurement, Scores
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Camilli, Gregory – Journal of Educational and Behavioral Statistics, 2006
A simple errors-in-variables regression model is given in this article for illustrating the method of marginal maximum likelihood (MML). Given suitable estimates of reliability, error variables, as nuisance variables, can be integrated out of likelihood equations. Given the closed form expression of the resulting marginal likelihood, the effects…
Descriptors: Maximum Likelihood Statistics, Regression (Statistics), Reliability, Error of Measurement