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Prof. dr. L.A. (Andries) van der Ark

Hoogleraar Psychometrie
Faculteit der Maatschappij- en Gedragswetenschappen
Programme group: Methods and statistics
Fotograaf: Dirk Gillissen
Bezoekadres
  • Nieuwe Achtergracht 127
  • Kamernummer: D7.13
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

    2023

    • Conijn, J. M., Chen, M., van Ewijk, H., & van der Ark, L. A. (2023). Validity indices for interpreting informant discrepancies in ADHD assessment. In L. A. van der Ark, W. H. M. Emons, & R. R. Meijer (Eds.), Essays on contemporary psychometrics (pp. 345–367). (Methodology of Educational Measurement and Assessment). Springer. https://doi.org/10.1007/978-3-031-10370-4_18 [details]
    • Koopman, L., Zijlstra, B. J. H., & Van der Ark, L. A. (2023). Evaluating model fit in two-level Mokken scale analysis. Psych, 5(3), 847-865. Advance online publication. https://doi.org/10.3390/psych5030056 [details]
    • van Nes, K. A., van der Ark, L. A., van Loveren, C., & Aartman, I. H. A. (2023). Construction of a questionnaire based on the Health Action Process Approach for psycho-social cognitive determinants of parents in brushing children's teeth in the Netherlands. PLoS ONE, 18(8), Article e0289337. https://doi.org/10.1371/journal.pone.0289337 [details]
      • Related datasets
        • van Nes, K. A., van der Ark, L. A., van Loveren, C. & Aartman, I. H. A. (2022). 2021.12.11 data set Construction of a questionnaire based on the Health Action Process Approach for psycho-social cognitive determinants of parents in brushing children’s teeth in the Netherlands.sav. Figshare. https://doi.org/10.6084/m9.figshare.17294270.v1
    • van der Ark, L. A., & Smits, N. (2023). Computerized adaptive testing without IRT for flexible measurement and prediction. In L. A. van der Ark, W. H. M. Emons, & R. R. Meijer (Eds.), Essays on Contemporary Psychometrics (pp. 369-388). (Methodology of Educational Measurement and Assessment). Springer. https://doi.org/10.1007/978-3-031-10370-4_19 [details]
    • van der Ark, L. A., Bergsma, W. P., & Koopman, L. (2023). Maximum augmented empirical likelihood estimation of categorical marginal models for large sparse contingency tables. Psychometrika, 88, 1228–1248. https://doi.org/10.1007/s11336-023-09932-7
    • van der Ark, L. A., Emons, W. H. M., & Meijer, R. R. (Eds.) (2023). Essays on contemporary psychometrics. (Methodology of Educational Measurement and Assessment). Springer. https://doi.org/10.1007/978-3-031-10370-4 [details]
    • van der Ark, L. A., Jorgensen, T. D., & ten Hove, D. (2023). Factors affecting efficiency of interrater reliability estimates from planned missing data designs on a fixed budget. In M. Wiberg, D. Molenaar, J. González, J.-S. Kim, & H. Hwang (Eds.), Quantitative psychology: The 87th annual meeting of the Psychometric Society, Bologna, 2022 (pp. 1-15). (Springer Proceedings in Mathematics & Statistics; Vol. 422). Springer. Advance online publication. https://doi.org/10.1007/978-3-031-27781-8_1

    2022

    2021

    • Koopman, L., Zijlstra, B. J. H., & van der Ark, L. A. (2021). Range-preserving confidence intervals and significance tests for scalability coefficients in Mokken scale analysis. In M. Wiberg, D. Molenaar, J. González, U. Böckenholt, & J-S. Kim (Eds.), Quantitative Psychology: The 85th Annual Meeting of the Psychometric Society, Virtual (pp. 175-185). ( Springer Proceedings in Mathematics & Statistics; Vol. 353). Springer. Advance online publication. https://doi.org/10.1007/978-3-030-74772-5_16 [details]

    2020

    2019

    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]
    • 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. Advance online publication. 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. Advance online publication. 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. Advance online publication. 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). 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, Article 6490647. https://doi.org/10.1155/2018/6490647 [details]

    2017

    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). 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. Advance online publication. 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). 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, 12(4), 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. Statistical Methods in Medical Research, 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). 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). 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. Advance online publication. 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. https://doi.org/10.1016/j.tourman.2013.01.007
    • 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. Advance online publication. 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. Advance online publication. https://doi.org/10.1016/j.jpsychores.2012.11.012
    • Zijlstra, W. P., van der Ark, L. A., & Sijtsma, K. (2013). Discordancy tests for outlier detection in multi item surveys. Methodology, 9(2), 69-77. https://doi.org/10.1027/1614-2241/a000056
    • 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). 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(4), 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

    • Ligtvoet, R., van der Ark, L. A., Bergsma, W. P., & Sijtsma, K. (2011). Polytomous latent scales for the investigation of the ordering of items. Psychometrika, 76(2), 200-216. https://doi.org/10.1007/s11336-010-9199-8 [details]
    • 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

    • Ligtvoet, R., van der Ark, L. A., te Marvelde, J. M., & Sijtsma, K. (2010). Investigating an invariant item ordering for polytomously scored items. Educational and Psychological Measurement, 70(4), 578-595. https://doi.org/10.1177/0013164409355697 [details]
    • 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). Springer.

    2007

    • Van Ginkel, J. R., Andries Van der Ark, L., Sijtsma, K., & Vermunt, J. K. (2007). Two-way imputation: A Bayesian method for estimating missing scores in tests and questionnaires, and an accurate approximation. Computational Statistics and Data Analysis, 51(8), 4013-4027. https://doi.org/10.1016/j.csda.2006.12.022
    • Van Ginkel, J. R., Van Der Ark, L. A., & Sijtsma, K. (2007). Multiple imputation of item scores in test and questionnaire data, and influence on psychometric results. Multivariate Behavioral Research, 42(2), 387-414. https://doi.org/10.1080/00273170701360803
    • Zijlstra, W. P., Van Der Ark, L. A., & Sijtsma, K. (2007). Outlier detection in test and questionnaire data. Multivariate Behavioral Research, 42(3), 531-555. https://doi.org/10.1080/00273170701384340

    2006

    2005

    • Van Der Ark, L. A. (2005). Stochastic ordering of the latent trait by the sum score under various polytomous IRT models. Psychometrika, 70(2), 283-304. https://doi.org/10.1007/s11336-000-0862-3
    • Van Ginkel, J. R., & Van Der Ark, L. A. (2005). SPSS syntax for missing value imputation in test and questionnaire data. Applied Psychological Measurement, 29(2), 152-153. https://doi.org/10.1177/0146621603260688

    2004

    • Van Abswoude, A. A. H., Van der Ark, L. A., & Sijtsma, K. (2004). A Comparative Study of Test Data Dimensionality Assessment Procedures under Nonparametric IRT Models. Applied Psychological Measurement, 28(1), 3-24. https://doi.org/10.1177/0146621603259277
    • Van Der Ark, L. A., Croon, M. A., & Sijtsma, K. (2004). Statistical models for categorical variables. In New Developments in Categorical Data Analysis for the Social and Behavioral Sciences (pp. 1-11). Psychology Press. https://doi.org/10.4324/9781410612021

    2001

    • Hemker, B. T., Andries van der Ark, L., & Sijtsma, K. (2001). On measurement properties of continuation ratio models. Psychometrika, 66(4), 487-506. https://doi.org/10.1007/BF02296191
    • Van Der Ark, L. A. (2001). Relationships and properties of polytornous item response theory models. Applied Psychological Measurement, 25(3), 273-282. https://doi.org/10.1177/01466210122032073

    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.

    2023

    • Bergsma, W. P. (Author), & van der Ark, L. A. (Author). (2023). CMM: Categorical Marginal Models. (Version 1.0). Digital or Visual Products, CRAN.
    • Koomen, H., Zee, M., van der Ark, A., & Roorda, D. (2023). SPARTS: Relatievragenlijst leerling. Handleiding. Brave New Books. https://doi.org/10.5281/zenodo.7615541 [details]
    • Rusconi, R., Volman, M. L. L., & van der Ark, L. A. (2023). School composition on student proficiencies: The effect of student background and school composition on the static scores and gain scores of cognitive and non-cognitive proficiency tests in Dutch primary schools. (v1 ed.) Social Sciences & Humanities Open. https://doi.org/10.2139/ssrn.4316516 [details]
    • van der Ark, L. A. (Author), & Koopman, L. (Author). (2023). mokken: An R package for Mokken scale analysis (Version 3.1.0). Digital or Visual Products, CRAN.

    2020

    2017

    • Kuipers, G. S., den Hollander, S., van der Ark, L. A., & Bekker, M. H. J. (2017). Erratum to: 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), 549. https://doi.org/10.1007/s40519-017-0418-5
    • 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). 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). 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; Vol. 89). 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; Vol. 140). 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). 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.

    2008

    • Ligtvoet, R., van der Ark, L. A., & Sijtsma, K. (2008). Selection of Alzheimer symptom items with manifest monotonicity and manifest invariant item ordering. In K. Shigemasu, A. Okada, T. Imaizumi, & T. Hoshino (Eds.), New trends in psychometrics (pp. 225-234). Tokyo: Universal Academy Press.

    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. Erlbaum.

    2020

    • Mulder, E., & van der Ark, A. (2020). Column: Pedagogiek is een bastaard. In W. de Jong, J. Bekker, H. de Deckere, J. Metselaar, I. Schonwille, & L. van der Poel (Eds.), Pedagoog durf te spelen! (pp. 25-28). Uitgeverij SWP. [details]

    2019

    • van der Ark, L. A., Korf, W., Peters, P., Chen, M., ten Hove, D., & Koopman, L. (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?!: Pedagogiek in de 21e eeuw (pp. 81-92). Uitgeverij SWP. [details]

    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. Universiteit van Amsterdam. http://hdl.handle.net/20.500.12832/2267 [details]

    2016

    1995

    • van der Ark, L. A., Marburger, D., Mellenbergh, G. J., Vorst, H. C. M., & Wald, F. (1995). De aangepaste Profile of Moods States (Aangepaste POMS): Handleiding en verantwoording. Nijmegen: Berkhout.

    2021

    • Koopman, V. E. C., Zijlstra, B. J. H., & van der Ark, L. A. (2021). A two-step procedure for scaling multilevel data using Mokken's scalability coefficients. Paper presented at The 9th European Congress of Methodology [online], Valencia, Spain.

    2020

    • ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2020). Interrater reliability: Updating guidelines on selecting an ICC.. Paper presented at IMPS 2020 Virtual Conference.
    • van der Ark, L. A., Koopman, V. E. C., & Zijlstra, B. J. H. (2020). New advances in Mokken scale analysis. Paper presented at IMPS 2020 Virtual Conference.

    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.

    Prijs / subsidie

    • van der Ark, A., Jansen, B. & Nguyen, H. (2023). Joint relations of digital literacy, time use and academic performance in primary and secondary education.

    Mediaoptreden

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

    Spreker

    • ten Hove, D. (speaker), Jorgensen, T. (speaker) & van der Ark, A. (speaker) (7-2021). Updated guidelines on selecting an ICC to estimate interrater reliability, The 9th European Congress of Methodology [online], Valencia.
    • van der Ark, A. (speaker), Koopman, L. (speaker) & Zijlstra, B. (speaker) (16-7-2020). Spotlight Talk: New Advances in Mokken Scale Analysis, IMPS 2020 Virtual Conference.
    • ten Hove, D. (speaker), Jorgensen, T. (speaker) & van der Ark, A. (speaker) (25-6-2020). Interrater Reliability: Updating Guidelines on Selecting an ICC, 85th Annual International Meeting of the Psychometric Society.
    • Koopman, L. (speaker), Zijlstra, B. (speaker) & van der Ark, A. (speaker) (27-2-2020). A two-step procedure for scaling multilevel data using Mokken's scalability coefficients, Psychoco 2020: International Workshop on Psychometric Computing, Dortmund.
    • van der Ark, A. (speaker) & Mulder, E. (speaker) (8-10-2019). De genealogie van de Nederlandse pedagogiek, VBSP Kennisfestival: Pedagoog durf te spelen, Garderen.
    • 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.
    • van der Ark, A. (speaker) (2-2019). Do we agree?, University of Hong Kong.
    • 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.
    • 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.
    • 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. http://www.iops.nl/wp-content/uploads/2014/04/IOPS-Prog-boekje1.pdf
    • 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.
    • van der Ark, L. A. (speaker) (5-10-2015). De VBSP en Kwantitatieve Onderzoeksmethodologie, VBSP congres 2015, Zeist.
    • 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.

    2023

    2022

    2022

    • van Nes, K. A., van der Ark, L. A., van Loveren, C. & Aartman, I. H. A. (2022). 2021.12.11 data set Construction of a questionnaire based on the Health Action Process Approach for psycho-social cognitive determinants of parents in brushing children’s teeth in the Netherlands.sav. Figshare. https://doi.org/10.6084/m9.figshare.17294270.v1
    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.
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      Penningmeester
    • International Test Commission
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      Proceedings Editor
    • National Council Educational Measurement
      Associate editor Journal of Educational Measurement
    • Psychometric Society
      Lid Board of Trustees
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