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Titlebook: Quantitative Psychology Research; The 80th Annual Meet L. Andries van der Ark,Daniel M. Bolt,Marie Wiberg Conference proceedings 2016 Sprin

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Growth Curve Modeling for Nonnormal Data: A Two-Stage Robust Approach Versus a Semiparametric Bayesmental tools for dealing with longitudinal data. Many studies have demonstrated that normally distributed data in practice are rather an exception, especially when data are collected longitudinally. Estimating a model without considering the nonnormality of data may lead to inefficient or even incor
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Conditions of Completeness of the Q-Matrix of Tests for Cognitive Diagnosis,matrix. If the items have skill profiles that allow for the identification of all possible proficiency classes among examinees, then the Q-matrix of the test is said to be complete. An incomplete Q-matrix causes examinees to be assigned to proficiency classes to which they do not belong. Thus, compl
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2194-1009 cation and throughout the social sciences.Fourth in a seriesThe research articles in this volume cover timely quantitative psychology topics, including new methods in item response theory, computerized adaptive testing, cognitive diagnostic modeling, and psychological scaling. Topics within general
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A Three-Parameter Speeded Item Response Model: Estimation and Application,exity of the likelihood structure, a Bayesian estimation procedure with Markov chain Monte Carlo method was presented. The methodology is applied to physics examination data of the Department Required Test for college entrance in Taiwan for illustration.
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Item Response Theory Models for Multidimensional Ranking Items,ms that yield statement utilities and person measures. Simulations were conducted to evaluate the parameter recovery of the two new models, and the results indicated that the parameters were recovered well by using the freeware Just Another Gibson Sampler (JAGS). Anempirical example of behaviors in workplaces was provided.
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