Prof. dr. L.A. (Andries) van der Ark
Professor of Psychometrics
Faculty of Social and Behavioural Sciences
Programme group: Methods and statistics
Area of expertise: Psychometrics
Photographer: Dirk Gillissen
Visiting address
- Roetersstraat 11
- Room number: E10.06
Postal address
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Postbus 15776
1001 NG Amsterdam
Contact details
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Profile
My primary interest is the statistical analysis of test data, and within this context my research can be divided into four themes: (1) finding statistical solutions to practical data problems, such as handling missing data, handling outliers, and item selection; (2) applications of psychological tests; (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 behavioural sciences.
Research interests
- Psychometrics
Other links
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Research
Research methods
- Nonparametric item response theory
- Mokken scale analysis
- Classical test theory
- Marginal modelling
- Laten class analysis
- Missing data analysis
- Outlier detection
- Software development
RPA
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Publications
- refereed (84)
- academic (15)
- professional (6)
- conference contributions (8)
- other output (1)
- recognitions (20)
- supervised theses (2)
- datasets (1)
2025
- Hove, D. T., Jorgensen, T. D., & van der Ark, L. A. (2025). Interrater Reliability for Interdependent Social Network Data: A Generalizability Theory Approach. Multivariate Behavioral Research. Advance online publication. https://doi.org/10.1080/00273171.2024.2444940
2024
ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2024). Updated Guidelines on Selecting an Intraclass Correlation Coefficient for Interrater Reliability, With Applications to Incomplete Observational Designs. Psychological Methods, 29(5), 967–979. https://doi.org/10.1037/met0000516 [details]
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. 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]
- Downloads
- journal.pone.0289337
- Supplementary files
- pone.0289337.s001
- pone.0289337.s002
- 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
- Downloads
- 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(4), 1228–1248. https://doi.org/10.1007/s11336-023-09932-7 [details]
- 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. https://doi.org/10.1007/978-3-031-27781-8_1 [details]
2022
- Koopman, L., Zijlstra, B. J. H., & van der Ark, L. A. (2022). A two-step, test-guided Mokken scale analysis, for nonclustered and clustered data. Quality of Life Research, 31(1), 25-36. Advance online publication. https://doi.org/10.1007/s11136-021-02840-2 [details]
- Downloads
- s11136-021-02840-2
- Supplementary files
- 11136 2021 2840 MOESM1 ESM
- Downloads
- Sijtsma, K., & van der Ark, L. A. (2022). Advances in nonparametric item response theory for scale construction in quality-of-life research. Quality of Life Research, 31(1), 1-9. Advance online publication. https://doi.org/10.1007/s11136-021-03022-w [details]
- ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2022). Interrater Reliability for Multilevel Data: A Generalizability Theory Approach. Psychological Methods, 27(4), 650-666. Advance online publication. https://doi.org/10.1037/met0000391 [details]
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
- Conijn, J. M., van der Ark, L. A., & Spinhoven, P. (2020). Satisficing in mental health care patients: The effect of cognitive symptoms on self-report data quality. Assessment, 27(1), 178-193. Advance online publication. https://doi.org/10.1177/1073191117714557 [details]
- Koopman, L., Zijlstra, B. J. H., & Andries van der Ark, L. (2020). Standard errors of two-level scalability coefficients. British Journal of Mathematical & Statistical Psychology, 73(2), 213-236. Advance online publication. https://doi.org/10.1111/bmsp.12174 [details]
- Koopman, L., Zijlstra, B. J. H., de Rooij, M., & van der Ark, L. A. (2020). Bias of two-level scalability coefficients and their standard errors. Applied Psychological Measurement, 44(3), 197-214. Advance online publication. https://doi.org/10.1177/0146621619843821 [details]
- Kuipers, G. S., van der Ark, L. A., & Bekker, M. H. J. (2020). Gehechtheid, mentaliseren en autonomie bij anorexia nervosa en bulimia nervosa. Nederlands Tijdschrift voor Psychiatrie, 62(2), 148-156. https://www.tijdschriftvoorpsychiatrie.nl/issues/549/articles/12127 [details]
- Sijtsma, K., & van der Ark, L. A. (2020). Measurement models for psychological attributes. (Chapman & Hall/CRC statistics in the social and behavioral sciences). CRC Press. https://doi.org/10.1201/9780429112447 [details]
- Sijtsma, K., & van der Ark, L. A. (2020). Reliability. In V. Zeigler-Hill, & T. K. Schackleford (Eds.), Encyclopedia of personality and individual differences (2020 ed., Vol. 6). Springer. https://doi.org/10.1007/978-3-319-24612-3_1348, https://doi.org/10.1007/978-3-319-28099-8_1348-1 [details]
- ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2020). Comparing hyperprior distributions to estimate variance components for interrater reliability coefficients. In M. Wiberg, D. Molenaar, J. González, H. Böckenholt, & J-S. Kim (Eds.), Quantitative Psychology: 84th Annual Meeting of the Psychometric Society, Santiago, Chile, 2019 (pp. 79-93). (Springer Proceedings in Mathematics & Statistics; Vol. 322). Springer. Advance online publication. https://doi.org/10.1007/978-3-030-43469-4_7 [details]
2019
- Oosterwijk, P. R., van der Ark, L. A., & Sijtsma, K. (2019). Using Confidence Intervals for Assessing Reliability of Real Tests. Assessment, 26(7), 1207-1216. Advance online publication. https://doi.org/10.1177/1073191117737375 [details]
- Rinkel, W. D., Aziz, M. H., Van Neck, J. W., Castro Cabezas, M., van der Ark, L. A., & Coert, J. H. (2019). Development of grading scales of pedal sensory loss using Mokken scale analysis on the Rotterdam Diabetic Foot Study Test Battery data. Muscle & Nerve, 60(5), 520-527. https://doi.org/10.1002/mus.26628 [details]
- Van der Ark, L. A., & ten Hove, D. (2019). Zijn we het eens? Interbeoordelaarsbetrouwbaarheid in de pedagogiek en het onderwijs. Pedagogische Studiën, 95(5/6), 361-371. http://pedagogischestudien.nl/search?identifier=681917 [details]
- 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 Psychology, 9, Article 2298. https://doi.org/10.3389/fpsyg.2018.02298 [details]
- van der Ark, L. A., Rossi, G., & Sijtsma, K. (2019). 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 diagnostic classification models : Models and Model Extensions, Applications, Software Packages (pp. 21-45). (Methodology of Educational Measurement and Assessment). Springer. Advance online publication. https://doi.org/10.1007/978-3-030-05584-4_2 [details]
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]
- Downloads
- 6490647
- Supplementary files
- 6490647.f1
- Downloads
2017
- 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). 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]
- Downloads
- Recovery from eating disorder 1 year after start
- Supplementary files
- Erratum
- Downloads
- 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. Advance online publication. 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). Springer. https://doi.org/10.1007/978-3-319-56294-0_15 [details]
- 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. Advance online publication. https://doi.org/10.1111/bmsp.12078 [details]
- Sijtsma, K., & van der Ark, L. A. (2017). Reliability. In V. Zeigler-Hill, & T. K. Schackleford (Eds.), Encyclopedia of personality and individual differences (Living ed.). Springer. https://doi.org/10.1007/978-3-319-28099-8_1348-1, https://doi.org/10.1007/978-3-319-24612-3_1348 [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). 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
- Straat, J. H., van der Ark, L. A., & Sijtsma, K. (2014). Minimum sample size requirements for Mokken scale analysis. Educational and Psychological Measurement, 74(5), 809-822. https://doi.org/10.1177/0013164414529793 [details]
- van der Palm, D. W., van der Ark, L. A., & Sijtsma, K. (2014). A flexible latent class approach to estimating test-score reliability. Journal of Educational Measurement, 51(4), 339-357. https://doi.org/10.1111/jedm.12053 [details]
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
- Groenen, P. J. F., & Van Der Ark, L. A. (2006). Visions of 70 years of psychometrics: The past, present, and future. Statistica Neerlandica, 60(2), 135-144. https://doi.org/10.1111/j.1467-9574.2006.00318.x
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., & Koopman, L. (2023). mokken: An R package for Mokken scale analysis (Version 3.1.0). Digital or Visual Products, CRAN.
2020
- Snoek, M., Kösters, J., van Blankenstein, F., Bisschop, P., van der Ven, K., Heyma, A., Meijer, J., van der Ark, A., & Schenke, W. (2020). Intake en zelfselectie voor de lerarenopleidingen: Voorspellende waarde, effecten en onderliggende mechanismen van intakeprocedures in de lerarenopleidingen. (Kohnstamm-rapport; No. 1042). Kohnstamm Instituut. https://kohnstamminstituut.nl/rapport/intake-en-zelfselectie-voor-de-lerarenopleidingen/
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
- Kuijpers, R. E., van der Ark, L. A., & Croon, M. A. (2013). Rejoinder: Marginal models and Mokken scale analysis. Sociological Methodology, 43, 126-129. https://doi.org/10.1177/0081175013493399
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
- van der Ark, A. (2016). Psychometrie: Onderzocht, aangeleerd en toegepast. (Oratiereeks; No. 556). Universiteit van Amsterdam. http://www.oratiereeks.nl/upload/pdf/PDF-7486weboratie_Van_der_Ark_-_DEF.pdf [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). SWP. [details]
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.
Prize / grant
- van der Ark, A., Jansen, B. & Nguyen, H. (2023). Joint relations of digital literacy, time use and academic performance in primary and secondary education.
Media appearance
- van der Ark, L. A. (14-07-2014). Measurement [Print] Amsterdam, Coursera/University of Amsterdam. Measurement.
Talk / presentation
- 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
- ten Hove, D. (2023). Interrater reliability for incomplete and dependent data. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
- Downloads
- Thesis (complete) (embargo until 21 April 2025)
- Front matter
- Chapter 1: General introduction
- Chapter 2: On the usefulness of interrater reliability coefficients
- Chapter 3: Selecting an intraclass correlation coefficient for interrater reliability
- Chapter 4: Hyperpriors for estimating intraclass correlation coefficients
- Chapter 5: Estimating interrater reliability from incomplete data (embargo until 21 April 2025)
- Chapter 6: Interrater reliability for multilevel data
- Chapter 7: Interrater reliability for interdependent social network data (embargo until 21 April 2025)
- Chapter 8: General discussion
- Appendices; References; Summary; Summary in Dutch/Samenvatting; Publications; Acknowledgements/Dankwoord
- Downloads
2022
- Koopman, L. (2022). Nonparametric item response theory for multilevel test data. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
- Downloads
- Thesis (complete)
- Front matter
- Chapter 1: Introduction
- Chapter 2: Weighted Guttman errors – Handling ties and two-level data
- Chapter 3: Standard errors of scalability coefficients in two-level Mokken scale analysis
- Chapter 4: Bias of two-level scalability coefficients and their standard errors
- Chapter 5: Range-preserving confidence intervals and significance tests for scalability coefficients in Mokken scale analysis
- Chapter 6: Estimation methods and confidence intervals of Mokken’s scalability coefficients, for nonclustered and clustered data
- Chapter 7: A two-step, test-guided Mokken scale analysis, for nonclustered and clustered data
- Chapter 8: Assumptions and properties of two-level nonparametric item response theory models
- Chapter 9: Discussion
- Appendices; References; Summary; Samenvatting/Summary in Dutch; Publications; Acknowledgements/Dankwoord
- Downloads
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
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Ancillary activities
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Psychometric Society
Penningmeester -
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 -
Springer Publishing Company Adviseu
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Psychometric Society
ten Hove, D., Jorgensen, T. D., & van der Ark, L. A. (2024). Updated Guidelines on Selecting an Intraclass Correlation Coefficient for Interrater Reliability, With Applications to Incomplete Observational Designs. Psychological Methods, 29(5), 967–979.