A Note on Comparing Examinee Classification Methods for Cognitive Diagnosis Models

Autor/inn/en	Huebner, Alan; Wang, Chun
Titel	A Note on Comparing Examinee Classification Methods for Cognitive Diagnosis Models
Quelle	In: Educational and Psychological Measurement, 71 (2011) 2, S.407-419 (13 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164410388832
Schlagwörter	Classification; Diagnostic Tests; Thinking Skills; Models; Maximum Likelihood Statistics; Comparative Analysis; Statistical Analysis + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Diagnostic test; Diagnostischer Test; Denkfähigkeit; Analogiemodell; Statistische Analyse
Abstract	Cognitive diagnosis models have received much attention in the recent psychometric literature because of their potential to provide examinees with information regarding multiple fine-grained discretely defined skills, or attributes. This article discusses the issue of methods of examinee classification for cognitive diagnosis models, which are special cases of restricted latent class models. Specifically, the maximum likelihood estimation and maximum a posteriori classification methods are compared with the expected a posteriori method. A simulation study using the Deterministic Input, Noisy-And model is used to assess the classification accuracy of the methods using various criteria. (Contains 5 tables.) (As Provided).
Anmerkungen	SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10