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Titlebook: Quantitative Psychology; The 86th Annual Meet Marie Wiberg,Dylan Molenaar,Heungsun Hwang Conference proceedings 2022 The Editor(s) (if appl

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Methods to Retrofit and Validate Q-Matrices for Cognitive Diagnostic Modeling,veloped; however, many applications involve retrofitting a CDM to an existing non-diagnostic test. In this study, we conducted a systematic review to describe the current picture of retrofitting Q-matrices to non-diagnostic tests and consequently using the tests for diagnostic purposes.
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The Sum Scores and Discretization of Variables Under the Linear Normal One-Factor Model,the latent factor by the sum of the observed variables, but that this property no longer needs to hold when variables are discretized prior to taking the sum score. The implications of this result are discussed.
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Detecting Testlet Effects in Cognitive Diagnosis Models,s into question one of the key statistical assumptions of any tests: local independence of the test item responses. Local dependence among test item responses is typically induced by the under-specification of the latent ability dimensions supposed to underlie a test. Hence, evaluating whether local
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Modeling Covarying Responses in Complex Tasks,ntities like confidence or reported difficulty. These additional responses can be incorporated into a psychometric model either as a predictor of the main response or as a secondary response. In this paper we explore both of these approaches for incorporating participant’s reported difficulty into a
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