@article {2043,
	title = {Optimizing cognitive ability measurement with multidimensional computer adaptive testing},
	journal = {International Journal of Testing},
	year = {In Press},
	author = {Makransky, G. and Glas, C. A. W.}
}
@article {2612,
	title = {Measuring patient-reported outcomes adaptively: Multidimensionality matters!},
	journal = {Applied Psychological Measurement},
	year = {2018},
	doi = {10.1177/0146621617733954},
	author = {Paap, Muirne C. S. and Kroeze, Karel A. and Glas, C. A. W. and Terwee, C. B. and van der Palen, Job and Veldkamp, Bernard P.}
}
@article {2286,
	title = {The applicability of multidimensional computerized adaptive testing to cognitive ability measurement in organizational assessment},
	journal = {International Journal of Testing},
	volume = {13},
	year = {2013},
	pages = {123-139},
	issn = {1530-5058},
	doi = {10.1080/15305058.2012.672352},
	author = {Makransky, G. and Glas, C. A. W.}
}
@article {2044,
	title = {Improving personality facet scores with multidimensional computerized adaptive testing: An illustration with the NEO PI-R},
	journal = {Assessment},
	year = {2012},
	doi = {10.1177/1073191112437756},
	author = {Makransky, G. and Mortensen, E. L. and Glas, C. A. W.}
}
@article {2045,
	title = {Unproctored Internet test verification: Using adaptive confirmation testing},
	journal = {Organizational Research Methods},
	volume = {14},
	year = {2011},
	pages = {608-630},
	author = {Makransky, G. and Glas, C. A. W.}
}
@inbook {2069,
	title = {Adaptive Mastery Testing Using a Multidimensional IRT Model},
	booktitle = {Elements of Adaptive Testing},
	year = {2010},
	pages = {409-431},
	chapter = {21},
	doi = {10.1007/978-0-387-85461-8},
	author = {Glas, C. A. W. and Vos, H. J.}
}
@article {2046,
	title = {An automatic online calibration design in adaptive testing},
	journal = {Journal of Applied Testing Technology},
	volume = {11},
	year = {2010},
	author = {Makransky, G. and Glas, C. A. W.}
}
@book {2048,
	title = {Elements of Adaptive Testing},
	year = {2010},
	pages = {437},
	publisher = {Springer},
	organization = {Springer},
	address = {New York},
	doi = {10.1007/978-0-387-85461-8},
	author = {van der Linden, W. J. and Glas, C. A. W.}
}
@inbook {2063,
	title = {Estimation of the Parameters in an Item-Cloning Model for Adaptive Testing},
	booktitle = {Elements of Adaptive Testing},
	year = {2010},
	pages = {289-314},
	chapter = {15},
	doi = {10.1007/978-0-387-85461-8 },
	author = {Glas, C. A. W. and van der Linden, W. J. and Geerlings, H.}
}
@inbook {2062,
	title = {Item Parameter Estimation and Item Fit Analysis},
	booktitle = {Elements of Adaptive Testing},
	year = {2010},
	pages = {269-288},
	chapter = {14},
	doi = {10.1007/978-0-387-85461-8},
	author = {Glas, C. A. W.}
}
@article {157,
	title = {Marginal likelihood inference for a model for item responses and response times},
	journal = {British Journal of Mathematical and Statistical Psychology},
	volume = {63},
	number = {3},
	year = {2010},
	note = {Glas, Cees A Wvan der Linden, Wim JResearch Support, Non-U.S. Gov{\textquoteright}tEnglandThe British journal of mathematical and statistical psychologyBr J Math Stat Psychol. 2010 Nov;63(Pt 3):603-26. Epub 2010 Jan 28.},
	pages = {603-26},
	edition = {2010/01/30},
	abstract = {<p>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\&$\#$39;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.</p>
},
	isbn = {0007-1102 (Print)0007-1102 (Linking)},
	author = {Glas, C. A. W. and van der Linden, W. J.}
}
@inbook {2068,
	title = {Testlet-Based Adaptive Mastery Testing},
	booktitle = {Elements of Adaptive Testing},
	year = {2010},
	pages = {387-409},
	chapter = {20},
	doi = {10.1007/978-0-387-85461-8},
	author = {Vos, H. J. and Glas, C. A. W.}
}
@inbook {1926,
	title = {Statistical aspects of adaptive testing},
	year = {2007},
	address = {C. R. Rao and S. Sinharay (Eds.), Handbook of statistics (Vol. 27: Psychometrics) (pp. 801838). Amsterdam: North-Holland.},
	author = {van der Linden, W. J. and Glas, C. A. W.}
}
@article {156,
	title = {Computerized adaptive testing with item cloning},
	journal = {Applied Psychological Measurement},
	volume = {27},
	number = {4},
	year = {2003},
	note = {References .Sage Publications, US},
	pages = {247-261},
	abstract = {(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).},
	keywords = {computerized adaptive testing},
	author = {Glas, C. A. W. and van der Linden, W. J.}
}
@conference {929,
	title = {Modeling variability in item parameters in CAT},
	booktitle = {Paper presented at the Annual Meeting of the National Council on Measurement in Education},
	year = {2001},
	address = {Seattle WA},
	author = {Glas, C. A. W. and van der Linden, W. J.}
}
@booklet {1387,
	title = {Adaptive mastery testing using a multidimensional IRT model and Bayesian sequential decision theory (Research Report 00-06)},
	year = {2000},
	address = {Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis},
	author = {Glas, C. A. W. and Vos, H. J.}
}
@article {402,
	title = {Capitalization on item calibration error in adaptive testing},
	journal = {Applied Measurement in Education},
	volume = {13},
	number = {1},
	year = {2000},
	note = {References .Lawrence Erlbaum, US},
	pages = {35-53},
	abstract = {(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.},
	keywords = {computerized adaptive testing},
	author = {van der Linden, W. J. and Glas, C. A. W.}
}
@book {403,
	title = {Computerized adaptive testing: Theory and practice},
	year = {2000},
	publisher = {Kluwer Academic Publishers},
	organization = {Kluwer Academic Publishers},
	address = {Dordrecht, The Netherlands},
	author = {van der Linden, W. J. and Glas, C. A. W.}
}
@inbook {1925,
	title = {Cross-validating item parameter estimation in adaptive testing},
	year = {2000},
	address = {A. Boorsma, M. A. J. van Duijn, and T. A. B. Snijders (Eds.) (pp. 205-219), Essays on item response theory. New York: Springer.},
	author = {van der Linden, W. J. and Glas, C. A. W.}
}
@inbook {1774,
	title = {Item calibration and parameter drift},
	year = {2000},
	address = {W. J. van der linden and C. A. W. Glas (Eds.). Computerized adaptive testing: Theory and practice (pp.183-199). Norwell MA: Kluwer Academic.},
	author = {Glas, C. A. W.}
}
@inbook {158,
	title = {MML and EAP estimation in testlet-based adaptive testing},
	booktitle = {Computerized adaptive testing: Theory and practice},
	year = {2000},
	pages = {271-287},
	publisher = {Kluwer Academic Publishers},
	organization = {Kluwer Academic Publishers},
	address = {Dordrecht, The Netherlands},
	author = {Glas, C. A. W. and Wainer, H., and Bradlow, E. T.}
}
@inbook {1932,
	title = {Testlet-based adaptive mastery testing, W},
	year = {2000},
	address = {J. van der Linden (Ed.), Computerized adaptive testing: Theory and practice (pp. 289-309). Norwell MA: Kluwer.},
	author = {Vos, H. J. and Glas, C. A. W.}
}
@inbook {1775,
	title = {Item calibration and parameter drift},
	year = {1999},
	address = {W. J. van der Linden and C. A. W. Glas (Eds.), Computer adaptive testing: Theory and practice. Norwell MA: Kluwer.},
	author = {Glas, C. A. W. and Veerkamp, W. J. J.}
}
@booklet {1386,
	title = {Adaptive mastery testing using the Rasch model and Bayesian sequential decision theory (Research Report 98-15)},
	year = {1998},
	address = {Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis},
	author = {Glas, C. A. W. and Vos, H. J.}
}
@booklet {1535,
	title = {Capitalization on item calibration error in adaptive testing (Research Report 98-07)},
	year = {1998},
	address = {Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis},
	author = {van der Linden, W. J. and Glas, C. A. W.}
}
@booklet {1384,
	title = {Quality control of on-line calibration in computerized adaptive testing (Research Report 98-03)},
	year = {1998},
	address = {Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis},
	author = {Glas, C. A. W.}
}
@booklet {1385,
	title = {Statistical tests for person misfit in computerized adaptive testing (Research Report 98-01)},
	year = {1998},
	address = {Enschede, The Netherlands : University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis},
	author = {Glas, C. A. W. and Meijer, R. R. and van Krimpen-Stoop, E. M. L. A.}
}
@article {155,
	title = {Statistical tests for person misfit in computerized adaptive testing},
	number = {98-01},
	year = {1998},
	pages = {28},
	institution = {Faculty of Educational Science and Technology, Univeersity of Twente},
	address = {Enschede, The Netherlands},
	isbn = {98-01},
	author = {Glas, C. A. W. and Meijer, R. R. and van Krimpen-Stoop, E. M.}
}
@article {557,
	title = {The Rasch model and multi-stage testing},
	journal = {Journal of Educational and Behavioral Statistics},
	volume = {13},
	year = {1988},
	pages = {45-52},
	author = {Glas, C. A. W.}
}
