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Journal of Educational…

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Detecting Differential Item Functioning Using Posterior Predictive Model Checking: A Comparison of Discrepancy Statistics

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Joo, Seang-Hwane; Lee, Philseok – Journal of Educational Measurement, 2022

Abstract This study proposes a new Bayesian differential item functioning (DIF) detection method using posterior predictive model checking (PPMC). Item fit measures including infit, outfit, observed score distribution (OSD), and Q1 were considered as discrepancy statistics for the PPMC DIF methods. The performance of the PPMC DIF method was…

Descriptors: Test Items, Bayesian Statistics, Monte Carlo Methods, Prediction

Maximum Likelihood and Bayesian Parameter Estimation in Item Response Theory.

Peer reviewed

Lord, Frederic M. – Journal of Educational Measurement, 1986

Advantages and disadvantages of joint maximum likelihood, marginal maximum likelihood, and Bayesian methods of parameter estimation in item response theory are discussed and compared. (Author)

Descriptors: Bayesian Statistics, Error Patterns, Estimation (Mathematics), Higher Education