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

Share/Save/Bookmark

Klein Entink, R.H. and Fox, J.-P. and Linden van der, W.J. (2008) A Multivariate Multilevel Approach to the Modeling of Accuracy and Speed of Test Takers. Psychometrika . ISSN 0033-3123

[img]PDF
Restricted to UT campus only
: Request a copy
816Kb
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.
Item Type:Article
Copyright:© 2008 Springer
Faculty:
Behavioural Sciences (BS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/60241
Official URL:http://dx.doi.org/10.1007/s11336-008-9075-y
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page