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dhr. prof. dr. L.A. (Andries) van der Ark

Faculteit der Maatschappij- en Gedragswetenschappen
Programme group: Methods and statistics
Fotograaf: Dirk Gillissen

Bezoekadres
  • Nieuwe Achtergracht 127
  • Kamernummer: D7.15
Postadres
  • Postbus 15776
    1001 NG Amsterdam
Contactgegevens
  • Expertise

    Research:  My primary interest are the methodological aspects of  measurement by means of tests or questionnaires. Within this context my research can be divided into four themes: (1)  finding methodological solutions to practical data problems, such as handling missing data, handling outliers, and item selection; (2) reliability of test data; (3) development of nonparametric item response theory models, including Mokken scale analysis; and (4) the development of categorical marginal models and their application to test data. For all themes, software development (in R) is an important aspect. In addition, I have made methodological and statistical contributions to substantive papers from various areas in the social and behavioral sciences.

    Teaching: I have taught courses in methods and statistics at all levels between pre-Bachelor level and post-master level. My primary interest is raise methodological and statistical awareness in students,

    Administration: As director of the Graduate School of Child Development and Education, my primary interest is to keep the master programmes and PhD programmes of Pedagogical Sciences, Educational Sciences, and the Interfaculty Teacher Training Programmes (ILO) in good shape in terms of quality, financial solvency, and  working environment.

  • Publicaties

    2019

    • Koopman, L., Zijlstra, B. J. H., de Rooij, M., & van der Ark, L. A. (2019). Bias of two-level scalability coefficients and their standard errors. Applied Psychological Measurement. https://doi.org/10.1177/0146621619843821
    • Koopman, V. E. C., Zijlstra, B. J. H., & van der Ark, L. A. (2019). Standard errors of two-level scalability coefficients. British Journal of Mathematical & Statistical Psychology. https://doi.org/10.1111/bmsp.12174
    • Zijlmans, E. A. O., Tijmstra, J., van der Ark, L. A., & Sijtsma, K. (2019). Item-score reliability as a selection tool in test construction. Frontiers in Quantitative Psychology and Measurement, 9, [2298]. https://doi.org/10.3389/fpsyg.2018.02298
    • van der Ark, L. A., Rossi, G., & Sijtsma, K. (Accepted/In press). Nonparametric item response theory and Mokken scale analysis, with relations to latent class models and cognitive diagnostic models. In M. von Davier, & Y-S. Lee (Eds.), Handbook of cognitive diagnostic models Springer.

    2018

    • Kuipers, G. S., van Loenhout, Z., van der Ark, L. A., & Bekker, M. H. J. (2018). Is reduction of symptoms in eating disorder patients after 1 year of treatment related to attachment security and mentalization? Eating Disorders: The Journal of Treatment & Prevention, 26(3), 263-269. https://doi.org/10.1080/10640266.2017.1384916 [details]
    • Sijtsma, K., & van der Ark, L. A. (Accepted/In press). Reliability. In V. Zeigler-Hill, & T. K. Schackleford (Eds.), Encyclopedia of personality and individual differences New York, NY: Springer.
    • Smits, N., van der Ark, L. A., & Conijn, J. M. (2018). Measurement versus prediction in the construction of patient-reported outcome questionnaires: Can we have our cake and eat it? Quality of Life Research, 7(27), 1673-1682. https://doi.org/10.1007/s11136-017-1720-4 [details]
    • Zijlmans, E. A. O., Tijmstra, J., van der Ark, L. A., & Sijtsma, K. (2018). Item-Score Reliability in Empirical-Data Sets and Its Relationship With Other Item Indices. Educational and Psychological Measurement, 78(6), 998-1020. https://doi.org/10.1177/0013164417728358 [details]
    • Zijlmans, E. A. O., van der Ark, L. A., Tijmstra, J., & Sijtsma, K. (2018). Methods for Estimating Item-Score Reliability. Applied Psychological Measurement, 42(7), 553-570. https://doi.org/10.1177/0146621618758290 [details]
    • de la Torre, J., van der Ark, L. A., & Rossi, G. (2018). Analysis of clinical data from cognitive diagnosis modeling framework. Measurement and Evaluation in Counseling and Development, 51(4), 281-296. https://doi.org/10.1080/07481756.2017.1327286 [details]
    • ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2018). On the usefulness of interrater reliability coefficients. In M. Wiberg, S. Culpepper, R. Janssen, J. González, & D. Molenaar (Eds.), Quantitative Psychology: The 82nd Annual Meeting of the Psychometric Society, Zurich, Switzerland, 2017 (pp. 67-75). (Springer Proceedings in Mathematics & Statistics; Vol. 233). Cham: Springer. https://doi.org/10.1007/978-3-319-77249-3_6 [details]
    • van Hemert, F., Jebbink, M., van der Ark, A., Scholer, F., & Berkhout, B. (2018). Euclidean Distance Analysis Enables Nucleotide Skew Analysis in Viral Genomes. Computational and Mathematical Methods in Medicine, 2018, [6490647]. https://doi.org/10.1155/2018/6490647 [details]

    2017

    • Conijn, J. M., van der Ark, L. A., & Spinhoven, P. (2017). Satisficing in mental health care patients: The effect of cognitive symptoms on self-report data quality. Assessment. https://doi.org/10.1177/1073191117714557
    • Koopman, L., Zijlstra, B. J. H., & van der Ark, L. A. (2017). Weighted Guttman errors: Handling ties and two-level data. In L. A. van der Ark, M. Wiberg, S. A. Culpepper, J. A. Douglas, & W-C. Wang (Eds.), Quantitative psychology: The 81st Annual Meeting of the Psychometric Society, Asheville, North Carolina, 2016 (pp. 183-190). (Springer Proceedings in Mathematics & Statistics; Vol. 196). Cham: Springer. https://doi.org/10.1007/978-3-319-56294-0_17 [details]
    • Kuipers, G. S., den Hollander, S., van der Ark, L. A., & Bekker, M. H. J. (2017). Recovery from eating disorder 1 year after start of treatment is related to better mentalization and strong reduction of sensitivity to others. Eating and Weight Disorders, 22(3), 535-547. https://doi.org/10.1007/s40519-017-0405-x [details]
    • Oosterhuis, H. E. M., van der Ark, L. A., & Sijtsma, K. (2017). Standard errors and confidence intervals of norm statistics for educational and psychological tests. Psychometrika, 82(3), 559-588. https://doi.org/10.1007/s11336-016-9535-8 [details]
    • Oosterwijk, P. R., van der Ark, L. A., & Sijtsma, K. (2017). Overestimation of reliability by Guttman’s λ4, λ5, and λ6, and the greatest lower bound. In L. A. van der Ark, M. Wiberg, S. A. Culpepper, J. A. Douglas, & W-C. Wang (Eds.), Quantitative psychology: The 81st Annual Meeting of the Psychometric Society, Asheville, North Carolina, 2016 (pp. 159-172). (Springer Proceedings in Mathematics & Statistics; Vol. 196). Cham: Springer. https://doi.org/10.1007/978-3-319-56294-0_15 [details]
    • Oosterwijk, P. R., van der Ark, L. A., & Sijtsma, K. (2017). Using confidence intervals for assessing reliability of real tests. Assessment. https://doi.org/10.1177/1073191117737375
    • Sijtsma, K., & van der Ark, L. A. (2017). A tutorial on how to do a Mokken scale analysis on your test and questionnaire data. British Journal of Mathematical & Statistical Psychology, 70(1), 137-158. https://doi.org/10.1111/bmsp.12078 [details]

    2016

    • Crisan, D. R., van de Pol, J. E., & van der Ark, L. A. (2016). Scalability coefficients for two-level polytomous item scores: An introduction and an application. In L. A. van der Ark, D. M. Bolt, W-C. Wang, J. A. Douglas, & M. Wiberg (Eds.), Quantitative Psychology Research: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015 (pp. 139-153). (Springer Proceedings in Mathematics & Statistics; Vol. 167). Cham: Springer. https://doi.org/10.1007/978-3-319-38759-8_11 [details]
    • Kuijpers, R. E., van der Ark, L. A., Croon, M. A., & Sijtsma, K. (2016). Bias in Point Estimates and Standard Errors of Mokken’s Scalability Coefficients. Applied Psychological Measurement, 40(5), 331-345. https://doi.org/10.1177/0146621616638500 [details]
    • Kuipers, G. S., van Loenhout, Z., van der Ark, L. A., & Bekker, M. H. J. (2016). Attachment insecurity, mentalization and their relation to symptoms in eating disorder patients. Attachment & Human Development, 18(3), 250-272. https://doi.org/10.1080/14616734.2015.1136660 [details]
    • Oosterhuis, H. E. M., van der Ark, L. A., & Sijtsma, K. (2016). Sample Size Requirements for Traditional and Regression-Based Norms. Assessment, 23(2), 191-202. https://doi.org/10.1177/1073191115580638 [details]
    • Oosterwijk, P. R., van der Ark, L. A., & Sijtsma, K. (2016). Numerical differences between Guttman's reliability coefficients and the GLB. In L. A. van der Ark, D. M. Bolt, W-C. Wang, J. A. Douglas, & M. Wiberg (Eds.), Quantitative Psychology Research: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015 (pp. 155-172). (Springer Proceedings in Mathematics & Statistics; Vol. 167). Cham: Springer. https://doi.org/10.1007/978-3-319-38759-8_12 [details]
    • Straat, J. H., van der Ark, L. A., & Sijtsma, K. (2016). Using Conditional Association to Identify Locally Independent Item Sets. Methodology, 2016, 117-123. https://doi.org/10.1027/1614-2241/a000115 [details]
    • van der Palm, D. W., van der Ark, L. A., & Vermunt, J. K. (2016). A comparison of incomplete-data methods for categorical data. STAT METHODS MED RES, 25(2), 754-774. https://doi.org/10.1177/0962280212465502 [details]
    • van der Palm, D. W., van der Ark, L. A., & Vermunt, J. K. (2016). Divisive Latent Class Modeling as a Density Estimation Method for Categorical Data. Journal of Classification, 33(1), 52-72. https://doi.org/10.1007/s00357-016-9195-5 [details]

    2015

    • Kuijpers, R. E., Bergsma, W. P., van der Ark, L. A., & Croon, M. A. (2015). Comparing estimation methods for categorical marginal models. In R. E. Millsap, D. M. Bolt, L. A. van der Ark, & W-C. Wang (Eds.), Quantitative Psychology Research: The 78th Annual Meeting of the Psychometric Society (pp. 359-375). (Springer Proceedings in Mathematics & Statistics; Vol. 89). Cham: Springer. https://doi.org/10.1007/978-3-319-07503-7_23 [details]
    • Sijtsma, K., & van der Ark, L. A. (2015). Conceptions of reliability revisited and practical recommendations. Nursing research, 64(2), 128-136. https://doi.org/10.1097/NNR.0000000000000077 [details]
    • Sijtsma, K., & van der Ark, L. A. (2015). The many issues in reliability research: Choosing from a horn of plenty. Nursing research, 64(2), 152-154. https://doi.org/10.1097/NNR.0000000000000081 [details]
    • Sijtsma, K., Straat, J. H., & van der Ark, L. A. (2015). Goodness-of-fit methods for nonparametric IRT models. In L. A. van der Ark, D. M. Bolt, W-C. Wang, J. A. Douglas, & S-M. Chow (Eds.), Quantitative Psychology Research: The 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014 (pp. 109-120). (Springer Proceedings in Mathematics & Statistics; Vol. 140). Cham: Springer. https://doi.org/10.1007/978-3-319-19977-1_9 [details]
    • van Eijnatten, F. M., van der Ark, L. A., & Holloway, S. S. (2015). Ipsative measurement and the analysis of organizational values: an alternative approach for data analysis. Quality and Quantity, 49(2), 559-579. https://doi.org/10.1007/s11135-014-0009-8 [details]
    • van der Ark, L. A., & van Aert, R. C. M. (2015). Comparing confidence intervals for Goodman and Kruskal's gamma coefficient. Journal of Statistical Computation and Simulation, 85(12), 2491-2505. https://doi.org/10.1080/00949655.2014.932791 [details]

    2014

    2013

    • Kuijpers, R. E., van der Ark, L. A., & Croon, M. A. (2013). Standard errors and confidence intervals for scalability coefficients in Mokken scale analysis using marginal models. Sociological Methodology, 43, 42-69. https://doi.org/10.1177/0081175013481958
    • Kuijpers, R. E., van der Ark, L. A., & Croon, M. A. (2013). Testing hypotheses involving Cronbach’s alpha using marginal models. British Journal of Mathematical & Statistical Psychology, 66(3), 503-520. https://doi.org/10.1111/bmsp.12010
    • Richards, G. W., & van der Ark, L. A. (2013). Dimensions of cultural consumption among tourists: Multiple correspondence analysis. Tourism Management, 37, 71-76.
    • Straat, J. H., van der Ark, L. A., & Sijtsma, K. (2013). Comparing optimization algorithms for item selection in Mokken scale analysis. Journal of Classification, 30(1), 72-99. https://doi.org/10.1007/s00357-013-9122-y
    • Straat, J. H., van der Ark, L. A., & Sijtsma, K. (2013). Methodological artifacts in dimensionality assessment of the Hospital Anxiety and Depression Scale (HADS). Journal of Psychosomatic Research, 74(2), 116-121.
    • Zijlstra, W. P., van der Ark, L. A., & Sijtsma, K. (2013). Discordancy tests for outlier detection in multi item surveys. Methodology, 9, 69-77.
    • van der Ark, L. A. (2013). Visualizing uncertainty of estimated response functions in nonparametric item response theory. In R. E. Millsap, L. A. van der Ark, D. M. Bolt, & C. M. Woods (Eds.), New developments in quantitative psychology: presentations from the 77th Annual Psychometric Society Meeting. (pp. 59-68). (Springer proceedings in mathematics and statistics; No. 66). New York: Springer. https://doi.org/10.1007/978-1-4614-9348-8_5

    2012

    • Bergsma, W. P., Croon, M. A., & van der Ark, L. A. (2012). The empty set and zero likelihood problems in maximum empirical likelihood. Electronic Journal of Statistics, 6, 2356-2361. https://doi.org/10.1214/12- EJS750
    • Straat, J. H., van der Ark, L. A., & Sijtsma, K. (2012). Multi-method analysis of the internal structure of the Type D Scale-14 (DS14). Journal of Psychosomatic Research, 72, 258-265. https://doi.org/10.1016/j.jpsychores.2012.01.005
    • Watson, R., van der Ark, L. A., Lin, L-C., Fieo, R., Deary, I. J., & Meijer, R. R. (2012). Item response theory: How Mokken scaling can be used in clinical practice. Journal of Clinical Nursing, 21, 2736-2746. https://doi.org/10.1111/j.1365-2702.2011.03893.x
    • van der Ark, L. A. (2012). New developments in Mokken scale analysis in R. Journal of Statistical Software, 48(5), 1-27. https://doi.org/10.18637/jss.v048.i05

    2011

    • Sijtsma, K., Meijer, R. R., & van der Ark, L. A. (2011). Mokken scale analysis as time goes by: An update for scaling practitioners. Personality and Individual Differences, 50, 31-37. https://doi.org/10.1016/j.paid.2010.08.016
    • Zijlstra, W. P., van der Ark, L. A., & Sijtsma, K. (2011). Outliers in questionnaire data: Can they be detected and should they be removed. Journal of Educational and Behavioral Statistics, 36, 186-212. https://doi.org/10.3102/1076998610366263
    • Zijlstra, W. P., van der Ark, L. A., & Sijtsma, K. (2011). Robust Mokken scale analysis by means of the forward search algorithm for outlier detection. Multivariate Behavioral Research, 46, 58-89. https://doi.org/10.1080/00273171.2011.544227
    • van der Ark, L. A., van der Palm, D. W., & Sijtsma, K. (2011). A latent class approach to estimating test-score reliability. Applied Psychological Measurement, 35, 380-392. https://doi.org/10.1177/0146621610392911

    2010

    • van der Ark, L. A. (2010). A note on stochastic ordering of the latent trait using the sum of polytomous item scores. Psychometrika, 75, 272-279. https://doi.org/10.1007/S11336-010-9147-7
    • van der Ark, L. A. (2010). Computation of the Molenaar Sijtsma statistic. In A. Fink, B. Lausen, W. Seidel, & A. Ultsch (Eds.), Advances in data analysis, data handling and business intelligence (pp. 775-784). Berlin: Springer.

    1999

    • van der Ark, L. A. (1999). Contributions to latent budget analysis; A tool for the analysis of compositional data. Leiden, The Netherlands: DSWO Press.

    2017

    • van der Ark, L. A., Wiberg, M., Culpepper, S. A., Douglas, J. A., & Wang, W-C. (Eds.) (2017). Quantitative psychology: The 81st Annual Meeting of the Psychometric Society, Asheville, North Carolina, 2016. (Springer Proceedings in Mathematics & Statistics; Vol. 196). Cham: Springer. https://doi.org/10.1007/978-3-319-56294-0 [details]

    2016

    • van der Ark, L. A., Bolt, D. M., Wang, W-C., Douglas, J. A., & Wiberg, M. (Eds.) (2016). Quantitative Psychology Research: The 80th Annual Meeting of the Psychometric Society, Beijing, 2015. (Springer Proceedings in Mathematics & Statistics; Vol. 167). Cham: Springer. https://doi.org/10.1007/978-3-319-38759-8 [details]

    2015

    • Millsap, R. E., Bolt, D. M., van der Ark, L. A., & Wang, W-C. (2015). Quantitative psychology research: the 78th Annual Meeting of the Psychometric Society. (Springer proceedings in mathematics & statistics; No. 89). Cham: Springer. https://doi.org/10.1007/978-3-319-07503-7 [details]
    • van der Ark, L. A., Bolt, D. M., Wang, W-C., Douglas, J. A., & Chow, S-M. (2015). Quantitative psychology research: the 79th Annual Meeting of the Psychometric Society, Madison, Wisconsin, 2014. (Springer proceedings in mathematics & statistics; No. 140). Cham: Springer. https://doi.org/10.1007/978-3-319-19977-1 [details]

    2014

    • Millsap, R. E., van der Ark, L. A., Bolt, D. M., & Woods, C. M. (Eds.) (2014). New developments in quantitative psychology: presentations from the 77th Annual Psychometric Society Meeting. (Springer proceedings in mathematics and statistics; No. 66). New York: Springer. https://doi.org/10.1007/978-1-4614-9348-8

    2013

    2012

    • Bergsma, W. P., Croon, M. A., Hagenaars, J. A. P., & van der Ark, L. A. (2012). Comment on Thas, De Neve and Ottoy (2012): Probablistic index models. Journal of the Royal Statistical Society, Series B, 74, 665-666.

    2005

    • van der Ark, L. A., Croon, M. A., & Sijtsma, K. (Eds.) (2005). New developments in categorical data analysis for the social and behavioral sciences. Mahwah, NJ: Erlbaum.

    2019

    • van der Ark, L. A., Korf, W., Peters, P., Chen, M., ten Hove, D., & Koopman, V. E. C. (2019). Onderzoek naar de verbetering van tests en vragenlijsten voor de pedagogische praktijk. In W. de Jong, J. Bekker, H. de Deckere, I. Schonewille, & L. van der Poel (Eds.), De belofte van de jeugd (pp. 81-92). Amsterdam: SWP.

    2018

    • van der Ark, L. A., van Leeuwen, J. L., & Jorgensen, T. D. (2018). Interbeoordelaarsbetrouwbaarheid LIJ: Onderzoek naar de interbeoordelaarsbetrouwbaarheidheid van het Landelijk Instrument Jeugdstrafrechtketen. Amsterdam: Universiteit van Amsterdam. [details]

    2016

    • van der Ark, A. (2016). Psychometrie: Onderzocht, aangeleerd en toegepast. (Oratiereeks; No. 556). Amsterdam: Universiteit van Amsterdam. [details]
    • van der Ark, L. A. (2016). Kwantitatieve onderzoeksmethodologie ter bevordering van de academisering van het onderwijs. In L. Houweling, H. Viëtor, H. de Deckere, & W. de Jong (Eds.), De staat van de pedagogiek: Analytisch, opbrengstgericht en visionair (pp. 37-50). Amsterdam: SWP. [details]

    2018

    • Koopman, V. E. C., Zijlstra, B. J. H., & van der Ark, L. A. (2018). Checking assumptions in two-level Mokken scale analysis. Paper presented at VIII European Congress of Methodology, Jena, Germany.
    • ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2018). Interrater reliability for dyad-level predictors in network data. Paper presented at XXXVIII Sunbelt 2018 Conference, Utrecht, Netherlands.

    2017

    • Koopman, V. E. C., de Rooij, M., Zijlstra, B. J. H., & van der Ark, L. A. (2017). Bias of two-level scalability coefficients and their standard errors. Paper presented at 82nd International Meeting of the Psychometric (IMPS) 2017, Zürich, Switzerland.

    2015

    • van der Ark, L. A. (2015). Divisive latent class models in R. Paper presented at International Workshop on Psychometric Computing (Psychoco) 2015, Amsterdam, Netherlands.
    • van der Ark, L. A. (2015). Multilevel Mokken scale analysis. Paper presented at 80th Annual Meeting of the Psychometric Society (IMPS) 2015, Beijing, China.

    2014

    • van der Ark, L. A. (Author). (2014). Mokken version 2.7.7 [computer software]. Software, Vienna, Austria: CRAN.

    Mediaoptreden

    • van der Ark, L. A. (14-07-2014). Measurement [Print] Amsterdam, Coursera/University of Amsterdam. Measurement.

    Spreker

    • ten Hove, D. (speaker), Jorgensen, T. D. (speaker) & van der Ark, L. A. (speaker) (7-2019). Interrater reliability for multilevel data: A generalizability theory approach, 84th annual International Meeting of the Psychometric Society, Santiago, Chile.
    • ten Hove, D. (speaker), Jorgensen, T. D. (speaker) & van der Ark, L. A. (speaker) (2-2019). Applying generalizability theory to interdependent network data: Estimating interrater reliability, International Workshop on Psychometric Computing, Prague, Czech Republic.
    • ten Hove, D. (speaker), Jorgensen, T. D. (speaker) & van der Ark, L. A. (speaker) (1-2019). Applying generalizability theory to interdependent network data: Estimating interrater reliability, Annual Peer-Relations Researchers [Peer Relaties Onderzoekers] (PRO) meeting, Amsterdam, Netherlands.
    • Koopman, V. E. C. (speaker), Zijlstra, B. J. H. (speaker) & van der Ark, L. A. (speaker) (14-6-2018). Checking assumptions in two-level Mokken scale analysis, 33rd IOPS Summer Conference.
    • van der Ark, L. A. (speaker), Jorgensen, T. (speaker) & Sigurdardóttir, S. M. (speaker) (19-7-2017). Planning interrater reliability studies, International Meeting of the Psychometric Society 2017, Zürich, Switzerland.
    • van der Ark, L. A. (speaker) (5-10-2015). De VBSP en Kwantitatieve Onderzoeksmethodologie, VBSP congres 2015, Zeist, Netherlands.
    • van der Ark, L. A. (invited speaker) (5-2-2015). On divisive latent class models, Invited presentation, Rutgers, The State University of New Jersey, New Brunswick (NJ), USA.
    • van der Ark, L. A. (speaker) (29-9-2014). Meaningful measurement by means of multiple items, Paper presented at the AmsteRdam Meetup, Amsterdam, NL.
    • van der Ark, L. A. (speaker) (21-7-2014). Accuracy, bias, and precision in classical test theory, Paper presented 79th Annual Meeting of the Psychometric Society, Madison (WI), USA.
    • van der Ark, L. A. (speaker) (12-6-2014). Handling complex dependencies, Paper presented at The M&S Research Meeting, University of Amsterdam, Amsterdam, NL.
    • van der Ark, L. A. (speaker) (16-3-2014). Handling complex dependencies, Paper presented at Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands.
    • van der Ark, L. A. (speaker) (13-2-2014). CMM: Categorical marginal models, Paper presented at the workshop Psychometric Computing 2014, Tübbingen, Germany.
    This list of publications is extracted from the UvA-Current Research Information System. Questions? Ask the library or the Pure staff of your faculty / institute. Log in to Pure to edit your publications. Log in to Personal Page Publication Selection tool to manage the visibility of your publications on this list.
  • Nevenwerkzaamheden
    • International Test Commission
      Editorial Board member
    • Psychometric Society
      Proceedings Editor
    • National Council Educational Measurement
      Associate editor Journal of Educational Measurement
    • Psychometric Society
      Lid Board of Trustees
    • CITO
      Lid Wetenschappelijke Adviesraad
    • National Council Educational Measurement
      Associate editor Journal of Educational Measurement
    • Psychometric Society
      Lid Board of Trustees
    • CITO
      Lid Wetenschappelijke Adviesraad
    • International Test Commission
      Editorial Board member
    • Psychometric Society
      Proceedings Editor