Titlebook: Handbook of Diagnostic Classification Models; Models and Model Ext Matthias von Davier,Young-Sun Lee Book 2019 The Editor(s) (if applicable

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https://doi.org/10.1007/978-3-322-84055-4ls a test-taker has. Much of the research to date has focused on parametric inference in cognitive diagnosis models (CDMs), which requires that the parametric model used for inference does an adequate job of describing the item response distribution of the population of examinees being studied. What

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Einführung in die Systementwicklung (Computerized adaptive testing in criterion-referenced testing. In Smith E, Stone G (eds) Applications of Rasch measurement in criterion-reference testing: practive analysis to score reporting. JAM Press, Maple Grove, 2009), which provided a flowchart for a typical CAT, we provide a typical CD-CAT

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https://doi.org/10.1007/978-3-8349-6955-2s with constraints introduced by the .-matrix and assumptions of how skill variables that are assigned to items via the .-Matrix interact in the item function. As many other latent variable models do, the CDMs often suffer from nonidentifiability. This chapter focuses on the identifiability issue of

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The Output of a Queueing System013), Wang, Song, Chen, Meng, and Ding (J Educ Meas 52:457–476, 2015), Johnson and Sinharay (J Educ Meas, 55: 635–664, 2018), and Johnson and Sinharay (J Educ Behav Stat, in press) suggested reliability-like measures for the estimates obtained from a diagnostic classification model. These measures m