%0 Journal Article %J International Journal of Testing %D In Press %T Optimizing cognitive ability measurement with multidimensional computer adaptive testing %A Makransky, G. %A Glas, C. A. W. %B International Journal of Testing %G English %0 Journal Article %J Applied Psychological Measurement %D 2018 %T Measuring patient-reported outcomes adaptively: Multidimensionality matters! %A Paap, Muirne C. S. %A Kroeze, Karel A. %A Glas, C. A. W. %A Terwee, C. B. %A van der Palen, Job %A Veldkamp, Bernard P. %B Applied Psychological Measurement %R 10.1177/0146621617733954 %0 Journal Article %J International Journal of Testing %D 2013 %T The applicability of multidimensional computerized adaptive testing to cognitive ability measurement in organizational assessment %A Makransky, G. %A Glas, C. A. W. %B International Journal of Testing %V 13 %P 123-139 %G English %N 2 %R 10.1080/15305058.2012.672352 %0 Journal Article %J Assessment %D 2012 %T Improving personality facet scores with multidimensional computerized adaptive testing: An illustration with the NEO PI-R %A Makransky, G. %A Mortensen, E. L. %A Glas, C. A. W. %B Assessment %G English %R 10.1177/1073191112437756 %0 Journal Article %J Organizational Research Methods %D 2011 %T Unproctored Internet test verification: Using adaptive confirmation testing %A Makransky, G. %A Glas, C. A. W. %B Organizational Research Methods %V 14 %P 608-630 %G English %0 Book Section %B Elements of Adaptive Testing %D 2010 %T Adaptive Mastery Testing Using a Multidimensional IRT Model %A Glas, C. A. W. %A Vos, H. J. %B Elements of Adaptive Testing %P 409-431 %G eng %& 21 %R 10.1007/978-0-387-85461-8 %0 Journal Article %J Journal of Applied Testing Technology %D 2010 %T An automatic online calibration design in adaptive testing %A Makransky, G. %A Glas, C. A. W. %B Journal of Applied Testing Technology %V 11 %G English %0 Book %D 2010 %T Elements of Adaptive Testing %A van der Linden, W. J. %A Glas, C. A. W. %I Springer %C New York %P 437 %G eng %R 10.1007/978-0-387-85461-8 %0 Book Section %B Elements of Adaptive Testing %D 2010 %T Estimation of the Parameters in an Item-Cloning Model for Adaptive Testing %A Glas, C. A. W. %A van der Linden, W. J. %A Geerlings, H. %B Elements of Adaptive Testing %P 289-314 %G eng %& 15 %R 10.1007/978-0-387-85461-8 %0 Book Section %B Elements of Adaptive Testing %D 2010 %T Item Parameter Estimation and Item Fit Analysis %A Glas, C. A. W. %B Elements of Adaptive Testing %P 269-288 %G eng %& 14 %R 10.1007/978-0-387-85461-8 %0 Journal Article %J British Journal of Mathematical and Statistical Psychology %D 2010 %T Marginal likelihood inference for a model for item responses and response times %A Glas, C. A. W. %A van der Linden, W. J. %X

Marginal maximum-likelihood procedures for parameter estimation and testing the fit of a hierarchical model for speed and accuracy on test items are presented. The model is a composition of two first-level models for dichotomous responses and response times along with multivariate normal models for their item and person parameters. It is shown how the item parameters can easily be estimated using Fisher's identity. To test the fit of the model, Lagrange multiplier tests of the assumptions of subpopulation invariance of the item parameters (i.e., no differential item functioning), the shape of the response functions, and three different types of conditional independence were derived. Simulation studies were used to show the feasibility of the estimation and testing procedures and to estimate the power and Type I error rate of the latter. In addition, the procedures were applied to an empirical data set from a computerized adaptive test of language comprehension.

%B British Journal of Mathematical and Statistical Psychology %7 2010/01/30 %V 63 %P 603-26 %@ 0007-1102 (Print)0007-1102 (Linking) %G eng %M 20109271 %0 Book Section %B Elements of Adaptive Testing %D 2010 %T Testlet-Based Adaptive Mastery Testing %A Vos, H. J. %A Glas, C. A. W. %B Elements of Adaptive Testing %P 387-409 %G eng %& 20 %R 10.1007/978-0-387-85461-8 %0 Book Section %D 2007 %T Statistical aspects of adaptive testing %A van der Linden, W. J. %A Glas, C. A. W. %C C. R. Rao and S. Sinharay (Eds.), Handbook of statistics (Vol. 27: Psychometrics) (pp. 801838). Amsterdam: North-Holland. %G eng %0 Journal Article %J Applied Psychological Measurement %D 2003 %T Computerized adaptive testing with item cloning %A Glas, C. A. W. %A van der Linden, W. J. %K computerized adaptive testing %X (from the journal abstract) To increase the number of items available for adaptive testing and reduce the cost of item writing, the use of techniques of item cloning has been proposed. An important consequence of item cloning is possible variability between the item parameters. To deal with this variability, a multilevel item response (IRT) model is presented which allows for differences between the distributions of item parameters of families of item clones. A marginal maximum likelihood and a Bayesian procedure for estimating the hyperparameters are presented. In addition, an item-selection procedure for computerized adaptive testing with item cloning is presented which has the following two stages: First, a family of item clones is selected to be optimal at the estimate of the person parameter. Second, an item is randomly selected from the family for administration. Results from simulation studies based on an item pool from the Law School Admission Test (LSAT) illustrate the accuracy of these item pool calibration and adaptive testing procedures. (PsycINFO Database Record (c) 2003 APA, all rights reserved). %B Applied Psychological Measurement %V 27 %P 247-261 %G eng %0 Conference Paper %B Paper presented at the Annual Meeting of the National Council on Measurement in Education %D 2001 %T Modeling variability in item parameters in CAT %A Glas, C. A. W. %A van der Linden, W. J. %B Paper presented at the Annual Meeting of the National Council on Measurement in Education %C Seattle WA %G eng %0 Generic %D 2000 %T Adaptive mastery testing using a multidimensional IRT model and Bayesian sequential decision theory (Research Report 00-06) %A Glas, C. A. W. %A Vos, H. J. %C Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis %G eng %0 Journal Article %J Applied Measurement in Education %D 2000 %T Capitalization on item calibration error in adaptive testing %A van der Linden, W. J. %A Glas, C. A. W. %K computerized adaptive testing %X (from the journal abstract) In adaptive testing, item selection is sequentially optimized during the test. Because the optimization takes place over a pool of items calibrated with estimation error, capitalization on chance is likely to occur. How serious the consequences of this phenomenon are depends not only on the distribution of the estimation errors in the pool or the conditional ratio of the test length to the pool size given ability, but may also depend on the structure of the item selection criterion used. A simulation study demonstrated a dramatic impact of capitalization on estimation errors on ability estimation. Four different strategies to minimize the likelihood of capitalization on error in computerized adaptive testing are discussed. %B Applied Measurement in Education %V 13 %P 35-53 %G eng %0 Book %D 2000 %T Computerized adaptive testing: Theory and practice %A van der Linden, W. J. %A Glas, C. A. W. %I Kluwer Academic Publishers %C Dordrecht, The Netherlands %G eng %0 Book Section %D 2000 %T Cross-validating item parameter estimation in adaptive testing %A van der Linden, W. J. %A Glas, C. A. W. %C A. Boorsma, M. A. J. van Duijn, and T. A. B. Snijders (Eds.) (pp. 205-219), Essays on item response theory. New York: Springer. %G eng %0 Book Section %D 2000 %T Item calibration and parameter drift %A Glas, C. A. W. %C W. J. van der linden and C. A. W. Glas (Eds.). Computerized adaptive testing: Theory and practice (pp.183-199). Norwell MA: Kluwer Academic. %G eng %0 Book Section %B Computerized adaptive testing: Theory and practice %D 2000 %T MML and EAP estimation in testlet-based adaptive testing %A Glas, C. A. W. %A Wainer, H., %A Bradlow, E. T. %B Computerized adaptive testing: Theory and practice %I Kluwer Academic Publishers %C Dordrecht, The Netherlands %P 271-287 %G eng %0 Book Section %D 2000 %T Testlet-based adaptive mastery testing, W %A Vos, H. J. %A Glas, C. A. W. %C J. van der Linden (Ed.), Computerized adaptive testing: Theory and practice (pp. 289-309). Norwell MA: Kluwer. %G eng %0 Book Section %D 1999 %T Item calibration and parameter drift %A Glas, C. A. W. %A Veerkamp, W. J. J. %C W. J. van der Linden and C. A. W. Glas (Eds.), Computer adaptive testing: Theory and practice. Norwell MA: Kluwer. %G eng %0 Generic %D 1998 %T Adaptive mastery testing using the Rasch model and Bayesian sequential decision theory (Research Report 98-15) %A Glas, C. A. W. %A Vos, H. J. %C Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis %G eng %0 Generic %D 1998 %T Capitalization on item calibration error in adaptive testing (Research Report 98-07) %A van der Linden, W. J. %A Glas, C. A. W. %C Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis %G eng %0 Generic %D 1998 %T Quality control of on-line calibration in computerized adaptive testing (Research Report 98-03) %A Glas, C. A. W. %C Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis %G eng %0 Report %D 1998 %T Statistical tests for person misfit in computerized adaptive testing %A Glas, C. A. W. %A Meijer, R. R. %A van Krimpen-Stoop, E. M. %I Faculty of Educational Science and Technology, Univeersity of Twente %C Enschede, The Netherlands %P 28 %@ 98-01 %G eng %0 Generic %D 1998 %T Statistical tests for person misfit in computerized adaptive testing (Research Report 98-01) %A Glas, C. A. W. %A Meijer, R. R. %A van Krimpen-Stoop, E. M. L. A. %C Enschede, The Netherlands : University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis %G eng %0 Journal Article %J Journal of Educational and Behavioral Statistics %D 1988 %T The Rasch model and multi-stage testing %A Glas, C. A. W. %B Journal of Educational and Behavioral Statistics %V 13 %P 45-52 %G eng