A General Cognitive Diagnosis Model for Continuous-Response Data

Autor/inn/en	Minchen, Nathan; de la Torre, Jimmy
Titel	A General Cognitive Diagnosis Model for Continuous-Response Data
Quelle	In: Measurement: Interdisciplinary Research and Perspectives, 16 (2018) 1, S.30-44 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1536-6367
DOI	10.1080/15366367.2018.1436817
Schlagwörter	Cognitive Measurement; Item Response Theory; Formative Evaluation; Models; Validity; Simulation; Data Analysis; Sample Size + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Gültigkeit; Simulation program; Simulationsprogramm; Auswertung
Abstract	Cognitive diagnosis models (CDMs) allow for the extraction of fine-grained, multidimensional diagnostic information from appropriately designed tests. In recent years, interest in such models has grown as formative assessment grows in popularity. Many dichotomous as well as several polytomous CDMs have been proposed in the last two decades, but there has been only one continuous-response model, the C-DINA, proposed to date. The C-DINA model offers a promising first step at modeling continuous process data, but the application of a model with a strong conjunctive assumption may be limited. Thus, the generalized version of the C-DINA model is proposed, and its viability is demonstrated with both a simulation study and a real data example. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01