BMS - Vakgroep OMD (EN)

CV Prof. dr. Cees Glas

Cees Glas focusses on the development and application of statistical models in educational measurement, psychological testing and large-scale surveys. He was a consultant for numerous research projects including projects of the Dutch National Institute for Educational Measurement (Cito, the Netherlands), and the Law School Admission Council (USA). With his department, he participated in the 2009-cylce of the OECD project PISA (Program for International Student Achievement) for the development of background questionnaires and the analysis of the relation between background variables and educational outcomes. He serves as the chair of the technical advisory committee of the OECD project PIAAC (Program for the International Assessment of Adult Competencies) and is a member of the technical advisory committee of the current PISA cycle.

With Wim van der Linden, he co-edited the volume Elements of Adaptive Testing (2010) published by Springer. Supervised PhD theses cover such topics as testing of fit to IRT models, Bayesian estimation of multidimensional and multilevel IRT models supported by MCMC computational methods, and the application of computerized adaptive testing in the context of health assessment and organizational and industrial psychology.

Professional Career

2004-2008

Research Director of the Institute for Behavioral Research, University of Twente Enschede, the Netherlands

2001-2015

Head of the Department of Research Methodology, Measurement and Data Analysis, Faculty of Behavioral Science, University of Twente Enschede, the Netherlands

2000-date

Full professor at the Department of Research Methodology, Measurement and Data Analysis, Faculty of Behavioral Science, University of Twente Enschede, the Netherlands

1995-2000

Associate professor at the Department of Research Methodology, Measurement and Data Analysis, Faculty of Behavioral Science, University of Twente Enschede, the Netherlands

1982-1995

Research scientist at the National Institute for Educational Measurement (CITO) in Arnhem, the Netherlands

1982

Research Scientist at the project Education and Social Milieu (OSM) in Rotterdam, the Netherlands.

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

President elect Psychometric society (2016-2017).

Associate Editor Psychometrika (2015-date).

Expertgroep Toetsing PO, ministerie OCW (2014-date)

Member of the Board of Trustees of Psychometrika (2014-date)

Member Technical Advisory Group of OECD Programme for International Student Assessment (PISA) (2006-2009, 2013-date)

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)

Education

Master

1981, Psychology at the University of Utrecht, the Netherlands. Specialization: Psychometrics and Statistics.

PhD.

1989, University of Twente, the Netherlands, on a dissertation titled "Contributions to Estimating and Testing Rasch Models. Promotores: Prof.Dr.W.van der Linden and Prof.Dr. W.Albers. Assistant-promotor: Prof.Dr.N.D.Verhelst. The doctorate was awarded “cum laude”.

Miscellaneous

Degree MO-A (1984) and degree MO-B (1988) in Mathematics.

PHD Theses Supervised

K. Jehangir. Methodological Issues in Large-Scale Educational Surveys. October, 29, 2015.

Kitty van Gendt, Dissectie en Observatie: Visueel toetsen van visueel leren, November, 27, 2014. (with prof.dr.ir. P.W. Verhagen).

Connie Nshemereirwe, The relationship between pre-university schooling and university grades in Uganda. November, 20, 2014.

Maarten Marsman, Plausible values in statistical inference. November 19, 2014. (with Prof. dr. Gunter Maris).

Liseth Siemons, Measuring disease activity in patients with early rheumatoid arthritis, July, 4, 2014. (with Prof.dr.M.A.F.J. van der Laar).

Martijn Oude Voshaar, Application of item response theory to physical function assessment in rheumatoid arthritis, June, 25, 2014. (with Prof.dr.M.A.F.J. van der Laar).

Caroline Timmers, Computer-based formative assessment: Variables influencing student feedback behavior. September, 27, 2013.

Qiwei He, Text mining and IRT for psychiatric and psychological assessment. University of Twente, October, 3, 2013.

Marianna Avetisyan, Bayesian randomized Item Response Modeling for sensitive measurements, November 28, 2012.

Josine Verhagen, Bayesian Item Response Theory Models for Measurement Variance, November 16, 2012.

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

Glas, C. A. W. (2015). Item Response Theory Models in Behavioral Social Science: Assessment of Fit. Wiley StatsRef: Statistics Reference Online. DOI: 10.1002/9781118445112.stat06436.pub2.

Glas, C. A. W., Pimentel, J. L., & Lamers, S. M. A. (2015). Nonignorable data in IRT models: Polytomous responses and response propensity models with covariates. Psychological Test and Assessment Modeling, 57, 523-541.

Lamers, S.M.A., Westerhof, G.J., Glas, C.A.W., & Bohlmeijer, E.T. (2015). The bidirectional relation between positive mental health and psychopathology in a longitudinal representative panel study. Journal of Positive Psychology, 10, 553-560.

Scheerens, J., Luyten, H., van den Berg, S.M., Glas, C.A.W. (2015). Exploration of direct and indirect associations of system-level policy-amenable variables with reading literacy performance. Educational Research and Evaluation, 21, 15-39.

Marsman, M., Maris, G., Bechger, T., Glas, C. (2015). Bayesian inference for low-rank Ising networks. Scientific Reports, 5, 9050.

Oude Voshaar, M.A.H., Ten Klooster, P.M., Bode, C., Van Riel, P.L.C.M., Van De Laar, M.A.F.J. (2015). Assessment of fatigue in rheumatoid arthritis: A psychometric comparison of single-item, multi-item, and multidimensional measures Journal of Rheumatology, 42, 413-420

Jehangir, K., Van Den Berg, S.M., Glas, C.A.W. (2015). Correcting for differential item functioning in multi-level regression models in cross-national surveys. Measurement: Journal of the International Measurement Confederation, 71, 1-15.

Jehangir, K., Glas, C.A.W., van den Berg, S. (2015). Exploring the relation between socio-economic status and reading achievement in PISA 2009 through an intercepts-and-slopes-as-outcomes paradigm. Journal of Educational Research, 66, 263-271.

Nikolaus, S., Bode, C., Taal, E., Glas, C.A.W., van de Laar, M.A.F.J. (2015). Working mechanism of a multidimensional computerized adaptive test for fatigue in rheumatoid arthritis. Health and Quality of Life Outcomes, 13, 23.

Voshaar, M.A.H.O. , Ten Klooster, P.M., Glas, C.A.W.., Vonkeman, H.E., Krishnan, E., & van der Laar, M.A.F.J. (2014). Relative Performance of Commonly Used Physical Function Questionnaires in Rheumatoid Arthritis and a Patient-Reported Outcomes Measurement Information System Computerized Adaptive Test, Arthritis and Rheumatology, 66, 2900-2908.

Glas, C. A. W. (2014). Adaptive Mastery Testing Using a Multidimensional IRT Model. In D. Yan, A. A. von Davier, & C. Lewis (Eds.). Computerized Multistage Testing: Theory and Applications. (pp. 205-218). New York, Springer.

Glas, C. A. W., & Jehangir, K. (2014). Modeling country-specific differential item functioning. In L. Rutkowski, M. von Davier, & D. Rutkowski (Eds.). Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis. (pp. 97-115). New York, Springer.

Voshaar, M.A.H.O. , Ten Klooster, P.M., Glas, C.A.W., Vonkeman, H.E., Taal, E., Krishnan, E., Moens, H.J.B., Boers, M., Terwee, C.B., Van Riel, P.L.C.M., & van der Laar, M.A.F.J. (2014). Calibration of the PROMIS physical function item bank in Dutch patients with rheumatoid arthritis. PLoS ONE, 9.

Fries, J.F., Lingala, B., Siemons, L., Glas, C.A.W., Cella, D.d, Hussain, Y.N., Bruce, B., Krishnan, E. (2014). Extending the floor and the ceiling for assessment of physical function. Arthritis and Rheumatology, 66, 1378-1387.

Siemons, L., ten Klooster, P.M., Vonkeman, H.E., van de Laar, M.A.F.J., Glas, C.A.W. (2014). Further Optimization of the Reliability of the 28-Joint Disease Activity Score in Patients with Early Rheumatoid Arthritis. PLoS ONE, 9.

He, Q., Glas, C.A.W., Kosinski, M., Stillwell, D.J., Veldkamp, B.P. (2014) Predicting self-monitoring skills using textual posts on Facebook. Computers in Human Behavior, 33, 69-78.

Geerlings, H., Laros, J.A., Tellegen, P.J., Glas, C.A.W. (2014). Testing the difficulty theory of the SON-R 512 -17, a non-verbal test of intelligence. British Journal of Mathematical and Statistical Psychology, 67, 248 – 265.

Khalid, M.N., Glas, C.A.W. (2014). A scale purification procedure for evaluation of differential item functioning. Measurement: Journal of the International Measurement Confederation, 50, 186 – 197.

He, Q., Glas, C.A.W., Veldkamp, B.P. (2014). Assessing impact of differential symptom functioning on post-traumatic stress disorder (PTSD) diagnosis. International Journal of Methods in Psychiatric Research, 23, 131 – 141. 

Siemons, L., Ten Klooster, P.M., Vonkeman, H.E., Glas, C.A.W., Van De Laar, M.A.F.J. (2014). Distinct trajectories of disease activity over the first year in early rheumatoid arthritis patients following a treat-to-target strategy. Arthritis Care and Research, 66, 625 – 630.

ten Klooster, P.M., Voshaar, M.A.H., Gandek , B., Rose, M., Bjorner, B.J., Taal, E., Glas C.A.W., van Riel, P.L.C.M., &, van de Laar, M.A.F.J. (2013). Development and evaluation of a crosswalk between the SF-36 physical functioning scale and Health Assessment Questionnaire disability index in rheumatoid arthritis. Health and Quality of Life Outcomes, 11. (http://www.hqlo.com/content/11/1/199)

Paap, M.C.S., Brouwer, D., Glas, C.A.W., Monninkhof, E.M., Forstreuter, B., Pieterse, M.E., &, van der Palen, J. (2013). The St George’s Respiratory Questionnaire revisited: a psychometric evaluation. Quality of Life Research, 21, 1-13.

Nikolaus, S. Bode, C., Taal, E., Oostveen, J.C.M., Glas, C.A.W., & van de Laar, M.A.F.J. (2013).

Items and dimensions for the construction of a multidimensional computerized adaptive test to measure fatigue in patients with rheumatoid arthritis. Journal of Clinical Epidemiology 66, 1175-1183.

Nikolaus, S., Bode, C., Taal, E., Glas, C.A.W. & Laar, M.A.F.J. van de (2013). The challenge to develop a multidimensional computerized adaptive test for fatigue in rheumatoid arthritis. In Arthritis & Rheumatism, 65(10) (pp. S1249).

Nikolaus, S., Bode, C., Taal, E., Oostveen, J.C.M., Glas, C.A.W. & Laar, M.A.F.J. van de (2013). The challenge to develop a multidimensional computerized adaptive test for fatigue in rheumatoid arthritis. In Annals of the Rheumatic Diseases, 72(Suppl3) (pp. 83).

Makransky, G. & Glas, C. A. W. (2013). Modeling differential item functioning with group-specific item parameters: A computerized adaptive testing application. Measurement, 46, 2013, 3228-3237.

Geerlings, H., Laros, J.A., Tellegen, P.J., Glas, C.A.W. (2013). Testing the difficulty theory of the SON-R 512-17, a non-verbal test of intelligence. British Journal of Mathematical and Statistical Psychology, (in press).

Oude Voshaar, M.A.H., Glas, C.A.W., Ten Klooster, P.M., Taal, E., Wolfe, F., Van De Laar, M.A.F.J. (2013). Crosscultural measurement equivalence of the health assessment questionnaire II. Arthritis Care and Research, 65, 1000-1004.

Makransky, G., & Glas, C.A.W. (2013). The Applicability of Multidimensional Computerized Adaptive Testing for Cognitive Ability Measurement in Organizational Assessment. International Journal of Testing, 13, 123-139.

Geerlings, H., van der Linden, W.J. & Glas, C.A.W. (2013) Optimal Test Design With Rule-Based Item Generation. Applied Psychological Measurement, 37, 140-161.

Siemons, L., Ten Klooster, P.M., Taal, E., Kuper, I.H., van Riel, P.L.C.M., Glas, C.A.W., van der Laar, M.A.F.J., (2013). Contribution of Assessing Forefoot Joints in Early Rheumatoid Arthritis Patients: Insights From Item Response Theory. Arthritis Care & Research, 65, 212–219.

Makransky, G., Mortensen, E. L., & Glas, C. A. W. (2013). Improving personality facet scores with multidimensional computerized adaptive testing: An illustration with the NEO PI-R. Assessment, 20, 3-13.

Lamers, S.M.A., Glas, C.A.W., Westerhof, G.J., & Bohlmeijer, E.T. (2012). Longitudinal evaluation of the mental health continuum-short form (MHC-SF): Measurement invariance across demographics, physical illness, and mental illness. European Journal of Psychological Assessment, 28, 290-296.

Glas, C. A. W. (2012). Generalizability theory and item response theory. In: T.J.H.M.Eggen and B.P. Veldkamp, (Eds.), Psychometrics in practice at RCEC. [E-book, Adobe pdf version].

Siemons, L., ten Klooster, P.M., Taal, E., Glas, C.A.W.  & Van de Laar, M.A.F.J. (2012). Modern psychometrics applied in rheumatology--A systematic review. BMC Musculoskeletal Disorders, 13, 216-230. doi:10.1186/1471-2474-13-216. http://www.biomedcentral.com/1471-2474/13/216

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). An Automatic Online Calibration Design in Adaptive Testing. Journal of Applied Testing Technology.

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.

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.

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.

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.

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

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

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.

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

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

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.

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.

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.

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.

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

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.

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.

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.

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

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.

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.

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.

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

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.

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.

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

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

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

Khalid, M.N. (2009). IRT model fit from different perspectives. Doctoral thesis, University of Twente.

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