Titlebook: Quantitative Psychology; The 82nd Annual Meet Marie Wiberg,Steven Culpepper,Dylan Molenaar Conference proceedings 2018 Springer Internation

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Evaluating Equating Transformations from Different Frameworks, computational properties from three equating frameworks: item response theory observed-score equating (IRTOSE), kernel equating and kernel IRTOSE. The real data applications suggest that IRT-based frameworks tend to provide more stable and accurate results than kernel equating. Nonetheless, kernel

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Reducing Conditional Error Variance Differences in IRT Scaling,onditional error variances when estimating transformation constants is proposed and evaluated. Results are evaluated and discussed in relation to the Stocking-Lord method. Findings using a Monte Carlo simulation approach suggest that when the two forms being scaled are parallel, the Hybrid method an

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Considering Local Dependencies: Person Parameter Estimation for IRT Models of Forced-Choice Data, IRT models for forced-choice data of arbitrary block size. However, local dependencies of pairwise comparisons within blocks of more than two items are only considered for item parameter estimates, but are explicitly ignored by the proposed methods of person parameter estimation. A general analysis

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Elimination Scoring Versus Correction for Guessing: A Simulation Study,s may differ in risk-taking to guess the correct answer when not having full knowledge. In the latter case, elimination scoring gives examinees the opportunity to express their partial knowledge as this alternative scoring procedure requires examinees to eliminate all the response alternatives they

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