Titlebook: Quantitative Psychology Research; The 79th Annual Meet L. Andries van der Ark,Daniel M. Bolt,Sy-Miin Chow Conference proceedings 2015 Sprin

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New IRT Models for Examinee-Selected Items,o two items in five given items; leading to ten selection patterns), has the advantages of enhancing students’ learning motivation and reducing their testing anxiety. The ESI design yields incomplete data (i.e., only those selected items are answered and the others have missing data). It has been ar

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Collusion Detection Using Joint Response Time Models,–163, 2013). It uses Kullback–Leibler divergence and a psychometric model to identify groups of test-takers with unusual person-fit distributions. A second phase examines individuals within anomalous groups. Another line of research considers collusion detection methods that depend on the identifica

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The Performance of the Modified Multidimensional Priority Index for Item Selection in Variable-Leng-statistical constraints for the construction of assessments. The priority index (PI) approaches can be used for item selection to monitor many constraints simultaneously. Many previous studies on item selection methods were conducted in fixed-length multidimensional CAT (MCAT); however, studies in

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A Nonparametric Estimator of a Monotone Item Characteristic Curve,i-dimensional case; before generalizing it to the multidimensional case..This is a two-stage process. The first stage uses a nonparametric estimator of the ICC by means of nonparametric kernel regression; the second uses the above result to estimate the density function of the inverse ICC..By integr

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Goodness-of-Fit Methods for Nonparametric IRT Models,r a questionnaire. The second section discusses the use of goodness-of-fit methods for statistical models, in particular, item response models such as theunidimensional monotone latent variable model. The third section discusses the use of the conditional association property for testing the goodnes

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A Comparison of Differential Item Functioning (DIF) Detection for Dichotomously Scored Items Using for detecting differential item functioning (DIF). The three programs were compared for each of three dichotomous IRT models, the one-parameter logistic, the two-parameter logistic, and the three-parameter logistic models. Results from each of these programs were examined using data from a test des