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

枕垫

Item Response Theory Models for Multidimensional Ranking Items,(e.g., career interests, attitudes, and personality). In this study, we developed two new item response theory models for multidimensional ranking items that yield statement utilities and person measures. Simulations were conducted to evaluate the parameter recovery of the two new models, and the re

Iatrogenic

领导权

Investigation of Constraint-Weighted Item Selection Procedures in Polytomous CAT, can be used to handle many constraints simultaneously and efficiently for the construction of assessments. Many previous studies in CAT were conducted for dichotomously scored items; however, only few studies were conducted for polytomously scored items. In practice, because polytomous items are mo

Silent-Ischemia

终点

prolate

Myocarditis

Scalability Coefficients for Two-Level Polytomous Item Scores: An Introduction and an Application,vel item scores and two-level dichotomous item scores. Second, we generalized these models and coefficients to two-level polytomous item scores. Third, we applied the new scalability coefficients to a real-data example, and compared the outcomes with results obtained using single-level reliability a

mastopexy

,Numerical Differences Between Guttman’s Reliability Coefficients and the GLB,nded as a method to estimate test-score reliability. As a first step in finding alternative lower bounds under these conditions, we investigated the population values of seven reliability coefficients: Coefficients ., ., . (a.k.a Cronbach’s alpha), ., ., . and the GLB under varying correlational str

Omniscient

Optimizing the Costs and GT based reliabilities of Large-scale Performance Assessments,iture and resources. The challenging task is identifying optimal sample sizes that balance such psychometric and practical considerations. As such, the objective of our research was to demonstrate the use of mixed integer nonlinear programming, an optimization procedure, in attaining the most cost-e

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