MCMC Estimation of Multidimensional IRT Models. Research Report 98-14.

Autor/inn/en	Beguin, Anton A.; Glas, Cees A. W.
Institution	Twente Univ., Enschede (Netherlands). Faculty of Educational Science and Technology.
Titel	MCMC Estimation of Multidimensional IRT Models. Research Report 98-14.
Quelle	(1998), (30 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Ability; Bayesian Statistics; Estimation (Mathematics); Item Response Theory; Markov Processes; Monte Carlo Methods; Simulation + Suchen Sie Ihr Suchwort? Fähigkeit; Fertigkeit; Estimation; Mathematics; Schätzung; Item-Response-Theorie; Markowscher Prozess; Monte-Carlo-Methode; Simulation program; Simulationsprogramm
Abstract	A Bayesian procedure to estimate the three-parameter normal ogive model and a generalization to a model with multidimensional ability parameters are discussed. The procedure is a generalization of a procedure by J. Albert (1992) for estimating the two-parameter normal ogive model. The procedure will support multiple samples from multiple populations and restrictions on the factor matrix for testing specific hypotheses about the ability structure. The technique is illustrated using simulated and real data. A Markov chain Monte Carlo (MCMC) procedure is used to sample the posterior distributions of interest and needed chains are constructed using the Gibbs sampler (A. Gelfand and A. Smith, 1990). (Contains 8 tables and 47 references.) (Author/SLD)
Anmerkungen	Faculty of Educational Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC