DINA Model and Parameter Estimation: A Didactic

Autor/in	de la Torre, Jimmy
Titel	DINA Model and Parameter Estimation: A Didactic
Quelle	In: Journal of Educational and Behavioral Statistics, 34 (2009) 1, S.115-130 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998607309474
Schlagwörter	Models; Computation; Psychometrics; Item Response Theory; Markov Processes; Monte Carlo Methods; Identification; Skills; Cognitive Ability; Maximum Likelihood Statistics + Suchen Sie Ihr Suchwort? Analogiemodell; Psychometry; Psychometrie; Item-Response-Theorie; Markowscher Prozess; Monte-Carlo-Methode; Identifikation; Identifizierung; Skill; Fertigkeit; Denkfähigkeit
Abstract	Cognitive and skills diagnosis models are psychometric models that have immense potential to provide rich information relevant for instruction and learning. However, wider applications of these models have been hampered by their novelty and the lack of commercially available software that can be used to analyze data from this psychometric framework. To address this issue, this article focuses on one tractable and interpretable skills diagnosis model--the DINA model--and presents it didactically. The article also discusses expectation-maximization and Markov chain Monte Carlo algorithms in estimating its model parameters. Finally, analyses of simulated and real data are presented. (Contains 4 tables and 1 figure.) (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