A Multivariate Multilevel Approach to the Modeling of Accuracy and Speed of Test Takers

Autor/inn/en	Klein Entink, R. H.; Fox, J. P.; van der Linden, W. J.
Titel	A Multivariate Multilevel Approach to the Modeling of Accuracy and Speed of Test Takers
Quelle	In: Psychometrika, 74 (2009) 1, S.21-48 (28 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
DOI	10.1007/s11336-008-9075-y
Schlagwörter	Test Items; Markov Processes; Item Response Theory; Measurement Techniques; Monte Carlo Methods; Research Methodology; Evaluation Methods; Psychometrics; Reaction Time + Suchen Sie Ihr Suchwort? Test content; Testaufgabe; Markowscher Prozess; Item-Response-Theorie; Messtechnik; Monte-Carlo-Methode; Research method; Forschungsmethode; Psychometry; Psychometrie; Reaktionsvermögen
Abstract	Response times on test items are easily collected in modern computerized testing. When collecting both (binary) responses and (continuous) response times on test items, it is possible to measure the accuracy and speed of test takers. To study the relationships between these two constructs, the model is extended with a multivariate multilevel regression structure which allows the incorporation of covariates to explain the variance in speed and accuracy between individuals and groups of test takers. A Bayesian approach with Markov chain Monte Carlo (MCMC) computation enables straightforward estimation of all model parameters. Model-specific implementations of a Bayes factor (BF) and deviance information criterium (DIC) for model selection are proposed which are easily calculated as byproducts of the MCMC computation. Both results from simulation studies and real-data examples are given to illustrate several novel analyses possible with this modeling framework. (As Provided).
Anmerkungen	Springer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10