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Titlebook: New Developments in Quantitative Psychology; Presentations from t Roger E. Millsap,L. Andries Ark,Carol M. Woods Conference proceedings 201

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41#
發(fā)表于 2025-3-28 15:43:28 | 只看該作者
42#
發(fā)表于 2025-3-28 20:12:57 | 只看該作者
Visualizing Uncertainty of Estimated Response Functions in Nonparametric Item Response Theory,s of RFs are graphically displayed but the uncertainty of the estimated RFs is not. As a result, estimated RFs based on large samples may look exactly the same as estimated RFs based on very small samples. We derive asymptotic standard errors (ASEs) and Wald confidence intervals for the estimated RF
43#
發(fā)表于 2025-3-28 23:12:43 | 只看該作者
Bayesian Estimation of the Three-Parameter Multi-Unidimensional Model,er multi-unidimensional model is straightforward. Earlier work on unidimensional models indicates that with an additional pseudo-chance-level parameter, three-parameter models are more complicated than two-parameter models and noninformative prior distributions for certain item parameters create pro
44#
發(fā)表于 2025-3-29 04:52:55 | 只看該作者
45#
發(fā)表于 2025-3-29 07:57:26 | 只看該作者
A State Space Approach to Modeling IRT and Population Parameters from a Long Series of Test Administhese test forms from long series of test administrations is complicated, because the statistical properties of the items and the student populations can be volatile. This study demonstrates the possibilities of time series modeling for monitoring item and population characteristics in the context o
46#
發(fā)表于 2025-3-29 13:42:06 | 只看該作者
47#
發(fā)表于 2025-3-29 17:43:09 | 只看該作者
Heterogeneous Populations and Multistage Test Design,g tested. If the test takers are not homogenous with respect to abilities or skills measured by the test, linear test design may no longer be suitable..This paper discusses challenges in administering a test to a heterogeneous population of test takers. In particular, we investigate some of the cons
48#
發(fā)表于 2025-3-29 19:47:38 | 只看該作者
49#
發(fā)表于 2025-3-30 01:43:15 | 只看該作者
A Monte Carlo Approach for Nested Model Comparisons in Structural Equation Modeling,d models and customizing cutoff criteria for difference in a fit index. Different methods to account for trivial misspecification in the Monte Carlo approach are also discussed. A simulation study is conducted to compare the Monte Carlo approach with different methods of imposing trivial misspecific
50#
發(fā)表于 2025-3-30 04:27:12 | 只看該作者
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