GW > Members of the Department > Prof. Dr. Cees Glas

Prof. Dr. Cees Glas

Education

Professional Career

Educational activities

Developer and coordinator of the research master program “Social Systems Evaluation and Survey Research” and co-developer of the master “Evaluation and Assessment”.

Courses and seminars taught: Social Science Research Methodology, Test Theory and Technology, Introductory Statistics, Survey Research, and Mathematical Statistics. In addition, courses on research methods, item response theory, and multi-level models were taught for the Interuniverity Graduate School of Educational Research (ICO), and the Interuniversity Graduate School of Psychometric and Sociometric Research (IOPS) as part of the Professional Training and Development Program.

Professional activities

Member Technical Advisory Group of OECD Programme for International Student Assessment (PISA) (2006-2009)

Chair Technical Advisory Group of OECD Programme for International Assessment for Adult Competencies (PIAAC) (2008-date)

Member Editorial Board of Psychometrika. (2004-2009)

Member of the scientific council of Cito, the National Institution for Educational Measurement. (2002-2009)

Member of the Board of the graduate school IOPS (Interuniversity Graduate School for Psychometric and Sociometrics.)

Coordinator of the theme New Assessment of the graduate school ICO (Interuniversity Center for Educational Research)

Member of the Editorial Board of Pedagogische Studiën. (2000-2006)

Chair of the Social Science Section of the VVS (Vereniging voor Statistiek) (2003-2006)

Paper presentations

Paper presentations at the American Educational Research Association (AERA) in New Orleans, 1988, San Francisco, 1989, Chicago, 1991, San Francisco, 1995, San Diego, 1998, Montreal, 1999, New Orleans, 2000, Seattle, 2001, New Orleans, 2002, San Diego, 2004.

Paper presentations at the International Symposium on Objective Measurement, Berkeley, 1989; Chicago, 1991; and Berkeley, 1995; the International Association for Educational Assessment (IAEA), Birmingham, 1988; Maastricht, 1990; the Deutsche Gesellschaft für Psychologie, Kiel, 1990; the European Meeting of the Psychometric Society, Santiago di Compostella, 1997; Lueneburg, 1999; Osaka, 2001; the American Meeting of the Psychometric Society in Champaign Urbana, 1998; Valley Forge, 2001; Chappell Hill, 2002; Cagliary, 2003; Society for Multivariate Analysis in the Behavioral Sciences, Tilburg (the Netherlands), 2002; Pacific Grove, 2004; International Meeting of the Psychometric Society 2005; Tilburg, 2006; Montreal, Canada, 2006; Durham, 2008; Cambridge, 2009.

Keynote Address at the Annual Meeting of the Psychometric Society, Minneapolis, 1995.

Invited lecturer at the ERASMUS/SOCRATES-seminar on Mathematical Psychology, Vienna, Austria, 1997.

Invited lecturer at the Annual Meeting of the Psychometric Society, Tilburg, 2005.

PHD Theses Supervised

Guido Makransky, Computerized adaptive testing in industrial and organizational psychology, March 30, 2012.

Hanneke Geerlings, Psychometric methods for automated test design, University of Twente, March 23, 2012.

Anke Weekers, Modeling typical performance measures, University of Twente, December, 16, 2009.

Muhammad Naveed Khalid, IRT model fit from different perspectives, University of Twente, December, 9, 2009.

Korobko, O. Comparing examination grades using IRT: A case study. University of Twente, September, 7, 2007.

Pimentel, J.L. Item response theory modelling with nonignorable missing data. University of Twente, December, 15, 2005.

Dagohoy, A. V. T. Person fit for tests with polytomous responses. University of Twente, September, 30, 2005.

Holman, R. Item response theory in clinical outcome measurement. University of Amsterdam. March, 22, 2005. (with R. de Haan, AMC)

Moelands, H. A. Schoolzelfevaluatie: Het evalueren van en door scholen University of Twente, March, 3, 2005.

Hendrawan I. Statistical Tests of item response models: Power and robustness. University of Twente, November, 3, 2004.

Shalabi, F. Effective schooling in the Westbank. University of Twente, Januari, 2002 (with R.Bosker).

Fox, J. P. Multilevel item response theory: A Bayesian perspective to estimating paramters and testing statistical hypotheses. University of Twente, May , 2001 (with W. van der Linden).

Béguin, A. Robustness of equating high-stakes tests. University of Twente, May 12, 2000 (with W. van der Linden);

Akkermans, L.M.W. Studies on statistical models for polytomously-scored test items. University of Twente, December 17, 1998 (with W. van der Linden).

Bügel, K. Sex differences in tests of comprehension of foreign languages. University of Groningen, the Netherlands, 1993, (assistant promotor, first promotor Prof.Dr.A.P.Buunk).

Publications

Siemons, L., Ten Klooster, P.M., Taal, E., Kuper, I.H., Van Riel, P.L.C.M., Van De Laar, M.A.F.J., Glas, C.A.W. (2011). Validating the 28-tender joint count using item response theory. Journal of Rheumatology, 38, 2557-2564.

Makransky, G., & Glas, C.A.W. (2011). Unproctored  Internet test verification: Using adaptive confirmation testing. Organizational Research Methods, 14, 608-630.

Geerlings, H., Glas, C.A.W., & van der Linden, W.J. (2011). Modeling Rule-Based Item Generation. Psychometrika, 76, 337-359.

Glas, C. A. W., & Béguin, A. A. (2010). Robustness of IRT observed-score equating. In: A. A. von Davier (Ed.), Statistical Models for Test Equating, Scaling, and Linking (pp. 297-316). New York, NJ: Springer.

Glas, C. A. W. (2010). Missing Data. In: P. Peterson, E. Baker and B. McGaw (Eds). International Encyclopedia of Education, Vol. 7 (pp. 283-288). Oxford: Elsevier.

Glas, C. A. W. (2010). Testing fit to IRT models for polytomously scored items. In: M. L. Nering and R. Ostini (Eds.), Handbook of Polytomous Item Response Models (pp. 185-208). New York, NJ: Taylor and Francis Group

Glas, C. A. W. (2010). Item parameter estimation and item fit analysis. In W. J. van der Linden and C. A. W. Glas (Eds.), Elements of Adaptive Testing (pp. 269-288). New York, NJ: Springer.

van Groen, M. M., ten Klooster, P.M., Taal, E., van de Laar, M. A. F. J., & Glas, C. A. W. (2010). Application of the health assessment questionnaire disability index to various rheumatic diseases. Quality of Life Research, 19, 1255–1263.

Glas, C. A. W., van der Linden, W. J., & Geerlings, H. (2010). Estimation of the parameters in an item-cloning model for adaptive testing. In W. J. van der Linden and C. A. W. Glas (Eds.), Elements of Adaptive Testing (pp. 289-314). New York, NJ: Springer.

van der Linden, W. J., & Glas, C. A. W. (2010). Statistical tests of conditional independence between responses and/or response times on test items, Psychometrika, 75, 120-139.

Glas, C. A. W., & van der Linden, W. J. (2010). Marginal likelihood inference for a model for item responses and response times, British Journal of Mathematical and Statistical Psychology. 63, 603-626.

Makransky, G., & Glas, C. A. W. (2010). Bootstrapping an Item Bank: An Automatic Online Calibration Design in Adaptive Testing. Journal of Applied Testing Technology. (In Press).

Makransky, G., & Glas, C. A. W. (2010). Unproctored Internet test verification: Using adaptive confirmation testing. Organizational Research methods. (In Press).

Timmers, C. F. & Glas, C. A. W. (2010) Developing scales for information seeking behaviour. Journal of Documentation, 66, 46-69.

Weisscher, N., Glas, C. A. W., Vermeulen, M., & de Haan, R. J. (2010). The use of an item response theoryebased disability item bank across diseases: accounting for differential item functioning. Journal of Clinical Epidemiology, 63, 543-549.

Glas, C. A. W. (2009). What IRT can and cannot do. Measurement, 7, 91-93.

Glas, C. A. W., & Geerlings, H. (2009). Psychometric aspects of pupil monitoring systems. Studies in Educational Evaluation, 35, 83–88.

Glas, C. A. W., Geerlings, H., van de Laar, M.A.F.J., & Taal, E. (2009). Analysis of longitudinal randomized clinical trials using item response models. Contemporary Clinical Trials, 30, 158-170.

Glas, C. A. W., & Pimentel, J. (2008). Modeling nonignorable missing data in speeded tests. Educational and Psychological Measurement, 68, 907-922.

Glas, C. A. W. (2008). Item response theory in educational assessment and evaluation. Mesure et Evaluation en Education, 31, 19-34.

Korobko, O. B., Glas, C. A. W., Bosker, R. J. & Luyten, J. W. (2008). Comparing the difficulty of examination subjects with item response theory. Journal of Educational Measurement, 45, 139–157.

Glas, C. A. W., & Dagohoy, A. V. T. (2007). A person fit test for IRT models for polytomous items. Psychometrika, 72, 159-180. <link1>

Weisscher, N., Post, B., de Haan, R. J., Glas, C. A. W., Speelman, J. D., & Vermeulen, M. (2007). The AMC Linear Disability Score in patients with newly diagnosed Parkinson disease. Neurology, 69, 2155-2161.

Van den Berg, S. M., Glas, C. A. W., & Boomsma, D. I. (2007). Variance Decomposition Using an IRT Measurement Model. Behavior Genetics, 37, 604-616.

Weisscher, N., Wijbrandts, C. A., de Haan, R., Glas, C. A. W., Vermeulen, M., & Tak, P. P. (2007). The Academic Medical Center Linear Disability Score Item Bank: Psychometric properties of a new generic disability measure in rheumatoid arthritis. Journal of Rheumatology, 34, 1222-1228.

van der Linden, W.J., & Glas, C.A.W. (2007). Statistical aspects of adaptive testing. In: C.R. Rao & Sinharay (Eds.). Handbook of Statistics, Vol. 26 (pp. 801-838). Elsevier, isbn 0-444-52103-8.

Glas, C. A. W. (2006). Testing generalized Rasch models. In: M. von Davier & C.H. Carstensen (Eds.). Multivariate and Mixture Distribution Rasch Models: Extensions and Applications (pp. 37-56). New York: Springer. isbn 0-387-32916-1.

Fox, J. P., Pimentel, J., & Glas, C. A. W. (2006). Fixed Effects IRT model. Behaviormetrika, 33, 27-42. <link2>

Van Schoor, N. M., Knol, D. L., Glas, C. A. W., Ostelo, R. W. J. G., Leplège, A., Cooper, C., Johnell, Ol, & Lips, P. (2006). Development of the Qualeffo-31, an osteoporosis-specific quality of life questionnaire. Osteoporosis International, 17, 543-551. <link3>

Te Marvelde, J. M., Glas, C. A. W., Van Landeghem, G., & Van Damme, J. (2006). Application of multidimensional item response theory models to longitudinal data. Educational and Psychological Measurement, 66, 5-34. <link4>

Jansen, M., & Glas, C. A. W. (2005). Checking the Assumptions of Rasch's Model for Speed Tests. Psychometrika, 70, 671-684. <link5>

Glas, C. A. W., & Hendrawan, I, (2005). Testing Linear Models for Ability Parameters in Item Response Models. Multivariate Behavioral Research, 40, 25-51. <link6>

Glas, C. A. W. (2005). Assessment of model fit. In B.S.Everitt & D.C.Howel (Eds.), Encyclopedia of Statistics in Behavioral Science. (pp. 1243-1249). Chichester:Wiley. ISBN 13-978-0-470-86080-9.

Glas, C. A. W. (2005). Book review: P. de Boeck & M. Wilson, (Eds.). Explanatory Item Response Models: A generalized linear and nonlinear approach. Journal of Educational Measurement, 42, 303-307.

Holman, R., & Glas, C. A. W. (2005). Modelling non-ignorable missing data mechanisms with item response theory models. British Journal of Mathematical and Statistical Psychology. 58, 1-17. <link7>

Fox, J. P., & Glas, C. A. W. (2005). Bayesian modification indices for IRT models. Statistical Neerlandica, 59, 95-106. <link8>

Hendrawan, I., Glas, C. A. W., & Meijer, R. R. (2005). The effect of person misfit on classification decisions. Applied Psychological Measurement, 29, 26-44. <link9>

Glas C. A. W. (2004). Structural IRT models. In K. Kempf-Leonard (Ed.), Encyclopedia of Social Measurement. (pp. 697-704). Oxford: Elsevier. ISBN: 0-12-443890-3

Holman, R., Glas, C.A.W., Lindeboom, R., Zwinderman, A. H., & de Haan, R. J. (2004) Practical methods for dealing with 'not applicable' item responses in the AMC Linear Disability Score project. Health and Quality of Life Outcomes 2004, 2-29.

Glas, C. A. W. (2003). Multidimensional Item Response Theory. In R. Fernandez-Ballesteros (Ed.), The Enyclopedia of Psychological Assessment. (pp. 245-269). London: Sage.

Glas, C. A. W. (2003). On the structure of educational assessments: a comment from the psychometric perspective. Measurement, 1, 76-79.

Glas, C. A. W. & van der Linden, W. J. (2003). Computerized adaptive testing with item cloning. Applied Psychological Measurement, 27, 249-263. <link10>

Glas, C. A. W. & Meijer, R. R. (2003). A Bayesian Approach to Person Fit Analysis in Item Response Theory Models. Applied Psychological Measurement, 27, 217-233. <link11>

Glas, C. A. W., & Suarez-Falcon, J. C. (2003). A Comparison of Item-Fit Statistics for the Three-Parameter Logistic Model. Applied Psychological Measurement, 27, 81-100. <link12>

Emons, W. H. M., Glas, C. A. W., Meijer, R. R., & Sijtsma, K. (2003). Person-fit in order restricted latent class models. Applied Psychological Measurement, 27, 459-478. <link13>

Fox, J. P., & Glas, C. A. W. (2003). Bayesian modeling of measurement error in predictor variables. Psychometrika, 68, 169-191. <link14>

Holman R., Lindeboom, R., Glas C. A. W., Vermeulen, M., & de Haan R. J. (2003). Constructing an item bank using item response theory: The AMC Linear Disability Score Project. Health Services and Outcomes Research Methodology, 4, 19-33.

Holman R., Glas C. A. W., de Haan R. J. (2003). Power analysis in randomized clinical trials based on item response theory. Controlled Clinical Trials, 24, 390-410. <link15>

Suarez-Falcon, J. C., & Glas, C. A. W. (2003). Evaluation of Global Testing Procedures for item fit to the Rasch Model. British Journal of Mathematical and Statistical Psychology, 56. 127-143. <link16>

Glas, C. A. W. (2002). Educational measurement in the psychometric school of Frederic Lord and Darrell Bock. International Journal of Testing, 2, 79-82.

Fox, J. P., & Glas, C. A. W. (2002). Modeling measurement error in structural multilevel models. In G.A. Marcoulides and I. Moustaki (Eds.), Latent variable and latent structure models. (pp. 245-269). London: Lawrence Erlbaum.

Glas, C. A. W. (2001). Differential item functioning depending on general covariates. In A. Boomsma, M. A.J. van Duijn, & T.A.B. Snijders (Eds.): Essays on Item Response Theory (pp.131-148). New York, NJ: Springer.

Béguin, A. A., & Glas, C. A. W. (2001). MCMC estimation and some fit analysis of multidimensional IRT models. Psychometrika, 66, 471-488. <link17>

Fox, J. P., & Glas, C. A. W. (2001). Bayesian estimation of a multi-level IRT model using Gibbs sampling. Psychometrika, 66, 271-288. <link18>

Holman, R., Lindeboom, R., Vermeulen, M., Glas, C. A. W., & de Haan, R.J. (2001). The Amsterdam Linear Disability Score (ALDS) Project. The Calibration of an Item Bank to Measure Functional Status Using Item Response Theory. QoL Newsletter, 2001; 27.

Holman, R., Lindeboom, R., Vermeulen, M., Glas, C. A. W., & de Haan, R. J. (2001) The Amsterdam Linear Disability Score (ALDS) Project. Differential Item Functioning with regard to Gender. QoL Newsletter, 2001; 29.

Jansen, M. G. H., & Glas, C. A. W. (2001). Statistical tests for differential test functioning in Rasch's model for speed tests. In A. Boomsma, M. A.J. van Duijn, & T.A.B. Snijders (Eds.): Essays on Item Response Theory (pp.149-162). New York, NJ: Springer.

van der Linden, W. J., & Glas, C. A. W. (2001). Cross-validating item parameter estimation in adaptive testing. In A. Boomsma, M. A.J. van Duijn, & T.A.B. Snijders (Eds.): Essays on Item Response Theory (pp.205-219). New York, NJ: Springer.

Glas, C. A. W. (2000). Item calibration and parameter drift. In W.J. van der Linden & C.A.W.Glas (Eds.), Computer Adaptive Testing: Theory and Practice. (pp.183-200). Boston MA: Kluwer-Nijhoff Publishing.

Glas, C. A. W., Wainer, H., & Bradlow, E. T. (2000). MML and EAP estimation in testlet-based adaptive testing. In W.J. van der Linden & C.A.W.Glas (Eds.), Computer Adaptive Testing: Theory and Practice. (pp.271-288). Boston MA: Kluwer-Nijhoff Publishing.

van der Linden, W. J., & Glas, C. A. W. (2000). Capitalization on item calibration error in adaptive testing. Applied Measurement in Education, 13, 35-53. <link19>

Veerkamp, W. & Glas, C. A. W. (2000). Detection of known items in adaptive testing with a statistical quality control method. Journal of Behavioral and Educational Statistics, 25, 373-389. <link20>

Vos, H. J., & Glas, C. A. W. (2000) Testlet-Based Adaptive Mastery Testing. In W.J.van der Linden & C.A.W.Glas (Eds.): Computerized adaptive testing: Theory and practice. (pp.289-310). Boston:Kluwer.

Glas, C. A. W. (1999). Modification indices for the 2-pl and the nominal response model. Psychometrika, 64, 273-294. <link21>

Glas, C. A. W. (1998). Detection of differential item functioning using Lagrange multiplier tests. Statistica Sinica, 8, 647-667. <link22>

Glas, C. A. W. (1997). Towards an integrated testing service system. European Journal of Psychological Assessment, 13, 38-48.

Glas, C. A. W. (1997). Testing the generalized partial credit model. In M. Wilson, G. Engelhard, Jr., and K. Draney (Eds.), Objective measurement: theory into practice, Vol. 4, New Jersey: Ablex Publishing Corporation.

Verhelst, N. D., Glas, C. A. W. & de Vries, H. H. (1997). A steps model to analyze partial credit. In: W.J.van der Linden and R.K.Hambleton (eds.). Handbook of Modern Item Response Theory. (pp.123-138). New York: Springer.

Glas, C. A. W. & Verhelst, N. D. (1995). Testing the Rasch model. In: G.H.Fischer & I.W.Molenaar (eds.). Rasch models. Their foundations, recent developments and applications. (pp.69-96). New York: Springer.

Glas, C. A. W. & Verhelst, N. D. (1995). Tests of fit for polytomous Rasch models. In G.H.Fischer & I.W.Molenaar (eds.). Rasch models. Their foundation, recent developments and applications. (pp.325-352). New York: Springer.

Verhelst, N. D., Glas, C. A. W. (1995). The generalized one parameter model: OPLM. In: G.H.Fischer & I.W.Molenaar (eds.). Rasch models: their foundations, recent developments and applications. (pp.215-238). New York: Springer.

Verhelst, N. D., Glas, C. A. W. (1995). Dynamic generalizations of the Rasch model. In: G.H.Fischer & I.W.Molenaar (eds.). Rasch models: their foundations, recent developments and applications. (pp.181-202). New York: Springer.

Verhelst, N. D., & Glas, C. A. W. (1993). A dynamic generalization of the Rasch model. Psychometrika, 58, 395-415. <link23>

Glas, C. A. W. (1992). A Rasch model with a multivariate distribution of ability. In M. Wilson, (Ed.), Objective measurement: theory into practice, Vol. 1, New Jersey: Ablex Publishing Corporation.

Glas, C. A. W. & Verhelst, N. D. (1989). Extensions of the partial credit model. Psychometrika, 54, 635-659. <link24>

Glas, C. A. W. (1988). The Rasch model and multi-stage testing. Journal of Educational Statistics, 13, 45-52. <link25>

Glas, C. A. W. (1988). The derivation of some tests for the Rasch model from the multinomial distribution. Psychometrika, 53, 525-546. <link26>

Glas, C. A. W. (1988). Psychometric aspects of maintaining standards of examinations. Educational Psychology, 8, 257-270.

De Jong, J. H. A. L. &, Glas, C. A. W. (1987). Validation of listening comprehension tests using item response theory. Language Testing, 4, 170-194.

Verhelst, N. D., Glas, C. A. W., & van der Sluis, A. (1984). Estimation problems in the Rasch model: the basic symmetric functions. Computational Statistics Quarterly, 1, 245-262.

BOOKS

Scheerens, J., Glas, C.A.W., & Thomas, S.M. (2003). Educational Evaluation, Assessment, and Monitoring. Swets and Zeitlinger.

EDITED VOLUMES

W.J. van der Linden & C.A.W. Glas (2000). Computerized adaptive testing: Theory and practice. Boston:Kluwer.

W.J. van der Linden & C.A.W. Glas (2010). Elements of Adaptive Testing. New York, NJ: Springer.

TECHNICAL REPORT

Glas, C.A.W. & Korobko, O.B. (2007). A marginal maximum likelihood procedure for an IRT model with single-peaked response functions. OMD Progress Report 07-01. Enschede, The Netherlands: University of Twente.

Glas, C.A.W. (2007). A marginal maximum likelihood procedure for an IRT model for speeded tests. OMD Progress Report 08-01. Enschede, The Netherlands: University of Twente.

SOFT WARE

MIRT package

MIRT Manual