Using the Stan Program for Bayesian Item Response Theory

Autor/inn/en	Luo, Yong; Jiao, Hong
Titel	Using the Stan Program for Bayesian Item Response Theory
Quelle	In: Educational and Psychological Measurement, 78 (2018) 3, S.384-408 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164417693666
Schlagwörter	Bayesian Statistics; Item Response Theory; Probability; Computer Software; Monte Carlo Methods; Comparative Analysis; Markov Processes; Mathematics; Mathematical Models; Equations (Mathematics); Program Implementation; Scores; Statistical Analysis + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Monte-Carlo-Methode; Markowscher Prozess; Mathematik; Mathematical model; Mathematisches Modell; Equations; Mathematics; Gleichungslehre; Statistische Analyse
Abstract	Stan is a new Bayesian statistical software program that implements the powerful and efficient Hamiltonian Monte Carlo (HMC) algorithm. To date there is not a source that systematically provides Stan code for various item response theory (IRT) models. This article provides Stan code for three representative IRT models, including the three-parameter logistic IRT model, the graded response model, and the nominal response model. We demonstrate how IRT model comparison can be conducted with Stan and how the provided Stan code for simple IRT models can be easily extended to their multidimensional and multilevel cases. (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	2020/1/01