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Cognitive diagnosis models for baseline testing of educational standards in math

J. Groß, A. Robitzsch and A.C. George

Journal of Applied Statistics, 2016, vol. 43, issue 1, 229-243

Abstract: Cognitive diagnosis models received growing attention in recent psychometric literature in view of the potentiality for fine-grained analysis of examinees’ latent skills. Although different types and aspects of these models have been investigated in some detail, application to real-life data had so far been sparse. This paper aims at addressing different topics with respect to model building from a practitioner's perspective. The objective is to draw conclusions about examinees’ performance on the Austrian baseline testing of educational standards in math 2009. Although there is a variety of models at hand, the focus is set on the easy to interpret deterministic input, noisy ‘and’ gate model. A possible course of action with respect to model fit is outlined in detail and some conclusions with respect to test results are discussed.

Date: 2016
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DOI: 10.1080/02664763.2014.1000841

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