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Jin, Kuan-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2014
Extreme response style (ERS) is a systematic tendency for a person to endorse extreme options (e.g., strongly disagree, strongly agree) on Likert-type or rating-scale items. In this study, we develop a new class of item response theory (IRT) models to account for ERS so that the target latent trait is free from the response style and the tendency…
Descriptors: Item Response Theory, Research Methodology, Bayesian Statistics, Response Style (Tests)
Wang, Wen-Chung; Chen, Po-Hsi – Applied Psychological Measurement, 2004
Multidimensional adaptive testing (MAT) procedures are proposed for the measurement of several latent traits by a single examination. Bayesian latent trait estimation and adaptive item selection are derived. Simulations were conducted to compare the measurement efficiency of MAT with those of unidimensional adaptive testing and random…
Descriptors: Item Analysis, Adaptive Testing, Computer Assisted Testing, Computer Simulation