Cognitive diagnosis models for baseline testing of educational standards in math
Artikel in Fachzeitschrift › Forschung › begutachtet
Publikationsdaten
| Von | Julia Groß, Alexander Robitzsch, Ann Cathrice George |
| Originalsprache | Englisch |
| Erschienen in | Journal of Applied Statistics, 43(1) |
| Seiten | 229-243 |
| Herausgeber (Verlag) | Routledge |
| ISSN | 0266-4763 |
| DOI/Link | https://doi.org/10.1080/02664763.2014.1000841 |
| Publikationsstatus | Veröffentlicht – 2016 |
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.