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Titlebook: Quantitative Psychology; 83rd Annual Meeting Marie Wiberg,Steven Culpepper,Dylan Molenaar Conference proceedings 2019 Springer Nature Swit

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Utilizing Response Time in On-the-Fly Multistage Adaptive Testing,popularity. While CAT selects each item on-the-fly and MST bundles items to pre-assembled modules, OMST assembles modules on-the-fly after the first stage. Since item selection algorithms play a crucial role in latent trait estimation and test security in CAT designs, given the availability of respo
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Heuristic Assembly of a Classification Multistage Test with Testlets,s. Testlet refers to a group of items sharing the same piece of stimulus. As MST can include an entire testlet in one module, fewer stimuli are required than items. On the other hand, computerized adaptive testing (CAT) selects item one by one, thus excludes the possibility of several items sharing
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Investigation of the Item Selection Methods in Variable-Length CD-CAT,, there are only a limited numbers of previous studies investigating how to optimally assemble cognitive diagnostic tests. The cognitive discrimination index (CDI) and attribute-level discrimination index (ADI) are commonly used to select items for cognitive diagnostic tests. The CDI measures an ite
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A Copula Model for Residual Dependency in DINA Model,not robust to violations of local item independence. Many approaches have been proposed to deal with the local item dependence (LID), such as conditioning on other responses and additional random effects (Hansen In Hierarchical item response models for cognitive diagnosis. University of California,
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An Attribute-Specific Item Discrimination Index in Cognitive Diagnosis,ute-specific item discrimination index as a measure of correct classification rate of attributes based on a q-vector, item parameters, and the distribution of attribute patterns. First, an attribute-specific item discrimination index was introduced. Second, a heuristic method was presented using the
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Assessing the Dimensionality of the Latent Attribute Space in Cognitive Diagnosis Through Testing fterizing a particular ability domain is often referred to as the latent attribute space. The correct specification of the latent attribute space is essential in cognitive diagnosis because misspecifications of the latent attribute space result in inaccurate parameter estimates, and ultimately, in th
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