Multilevel IRT Using Dichotomous and Polytomous Response Data. Research Report.

Autor/in	Fox, Jean-Paul
Institution	Twente Univ., Enschede (Netherlands). Faculty of Educational Science and Technology.
Titel	Multilevel IRT Using Dichotomous and Polytomous Response Data. Research Report.
Quelle	(2002), (39 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Bayesian Statistics; Estimation (Mathematics); Item Response Theory; Markov Processes; Monte Carlo Methods; Simulation + Suchen Sie Ihr Suchwort? Estimation; Mathematics; Schätzung; Item-Response-Theorie; Markowscher Prozess; Monte-Carlo-Methode; Simulation program; Simulationsprogramm
Abstract	A structural multilevel model is presented in which some of the variables cannot be observed directly but are measured using tests or questionnaires. Observed dichotomous or ordinal politicos response data serve to measure the latent variables using an item response theory model. The latent variables can be defined at any level of the multilevel model. A Bayesian procedure, the Markov Chain Monte Carlo (MCMC) procedure, to estimate all parameters simultaneously is presented. It is shown that certain model checks and model comparisons can be done using the MCMC output. The techniques are illustrated using a simulation study, and applications involving a students achievements on a mathematics test and test results regarding management characteristics of teachers and principals. (Contains 2 figures, 4 tables, and 45 references.) (Author/SLD)
Anmerkungen	Faculty of Educational Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands. E-mail: Fox@edte.utwente.nl.
Erfasst von	ERIC (Education Resources Information Center), Washington, DC