dr. L.A. van der Ark

Tilburg School of Social and Behavioral Sciences

Table of contents

• Journal articles
• Books
• Book chapters
• Working and/or discussion papers
• Reports (government and other final research reports)
• Conference papers

Journal articles

• 2012
  • Straat, J.H., Ark, L.A. van der, & Sijtsma, K. (2012). Multi-method analysis of the internal structure of the Type D Scale-14 (DS14). Journal of Psychosomatic Research.
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  • Zijlstra, W.P., Ark, L.A. van der, & Sijtsma, K. (2012). Discordancy tests for outlier detection in multi-item surveys. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences.
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• 2011
  • Ark, L.A. van der, Palm, D.W. van der, & Sijtsma, K. (2011). A latent class approach to estimating test-score reliability. Applied Psychological Measurement, 35, 380-392.
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  • Ligtvoet, R., Ark, L.A. van der, Bergsma, W.P., & Sijtsma, K. (2011). Polytomous latent scales for the investigation of the ordering of items. Psychometrika, 76(2), 200-216.
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  • Sijtsma, K., Meijer, R.R., & Ark, L.A. van der (2011). Mokken Scale Analysis as time goes by: An update for scaling practitioners. Personality and Individual Differences, 50, 31-37.
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  • Zijlstra, W.P., Ark, L.A. van der, & Sijtsma, K. (2011). Outliers in questionnaire data: Can they be detected and should they be removed? Journal of Educational and Behavioral Statistics, 36(2), 186-212.
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  • Zijlstra, W.P., Ark, L.A. van der, & Sijtsma, K. (2011). Robust Mokken scale analysis by means of the forward search algorithm for outlier detection. Multivariate Behavioral Research, 46, 58-89.
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• 2010
  • Ark, L.A. van der, & Vermunt, J.K. (2010). New developments in missing data analysis. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 6(1), 1-2.
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  • Ark, L.A. van der, & Bergsma, W.P. (2010). A note on stochastic ordering of the latent trait using the sum of polytomous item scores. Psychometrika, 75, 272-279.
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  • Ginkel, J.R. van, Sijtsma, K., Ark, L.A. van der, & Vermunt, J.K. (2010). Incidence of missing item scores in personality measurement, and simple item-score imputation. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 6(1), 17-30.
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  • Ligtvoet, R., Ark, L.A. van der, Marvelde, J.M. te, & Sijtsma, K. (2010). Investigating an invariant item ordering for polytomously scored items. Educational and Psychological Measurement, 70(4), 578-595.
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• 2008
  • Ark, L.A. van der, Emons, W.H.M., & Sijtsma, K. (2008). Detecting answer copying using alternate test forms and seat locations in small-scale examinations. Journal of Educational Measurement, 45(2), 99-117.
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  • Ark, L.A. van der, Croon, M.A., & Sijtsma, K. (2008). Mokken scale analysis for dichotomous items using marginal models. Psychometrika, 73(2), 183-208.
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  • Vermunt, J.K., Ginkel, J.R. van, Ark, L.A. van der, & Sijtsma, K. (2008). Multiple imputation of incomplete categorical data using latent class analysis. Sociological Methodology, 38(1), 369-397.
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• 2007
  • Ark, L.A. van der (2007). Mokken scale analysis in R. Journal of Statistical Software, 20(11), 1-19.
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  • Ginkel, J.R. van, Ark, L.A. van der, 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.
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  • Ginkel, J.R. van, Ark, L.A. van der, & Sijtsma, K. (2007). Multiple imputation of item scores when test data are factorially complex. The British Journal of Mathematical and Statistical Psychology, 60(2), 315-337.
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  • Ginkel, J.R. van, Ark, L.A. van der, & 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.
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  • Rossi, G., Ark, L.A. van der, & Sloore, H. (2007). Factor analysis of the Dutch-language version of the MCMI-III. Journal of Personality Assessment, 88(2), 144-157.
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  • Zijlstra, W.P., Ark, L.A. van der, & Sijtsma, K. (2007). Outlier detection in test and questionnaire data. Multivariate Behavioral Research, 42(3), 531-555.
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• 2006
  • Ark, L.A. van der, & Richards, G.W. (2006). Attractiveness of the cultural activities in European cities: A latent class approach. Tourism Management, 27(6), 1408-1413.
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  • Groenen, P.J.F., & Ark, L.A. van der (2006). Visions of 70 years of psychometrics: The past, present, and future. Statistica Neerlandica, 60(2), 135-144.
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• 2005
  • Ark, L.A. van der (2005). Stochastic ordering of the latent trait by the sum score under various polytomous IRT models. Psychometrika, 70(2), 283-304.
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  • Ginkel, J.R. van, & Ark, L.A. van der (2005). SPSS syntax for missing value imputation in test and questionnaire data. Applied Psychological Measurement, 29(2), 152-153.
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• 2004
  • Abswoude, A.A.H. van, Vermunt, J.K., Hemker, B.T., & Ark, L.A. van der (2004). Mokken scale analysis using hierarchical clustering procedures. Applied Psychological Measurement, 28(5), 332-354.
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  • Abswoude, A.A.H. van, Ark, L.A. van der, & Sijtsma, K. (2004). A comparative study of test dimensionality assessment procedures under nonparametric IRT models. Applied Psychological Measurement, 28(1), 3-24.
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• 2003
  • Sijtsma, K., & Ark, L.A. van der (2003). Investigation and treatment of missing scores in test and questionnaire data. Multivariate Behavioral Research, 38(4), 505-528.
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• 2001
  • Hemker, B.T., Ark, L.A. van der, & Sijtsma, K. (2001). On measurement properties of continuation ratio models. Psychometrika, 66(4), 487-506.
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• 1999
  • Ark, L.A. van der, Heijden, P.G.M. van der, & Sikkel, D. (1999). On the identifiability in the latent budget model. Journal of Classification, 16(1), 117-137.
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  • Ark, L.A. van der (1999). An overview of the relationships between IRT models for polytomous items and some relevant properties. Methods of Psychological Research-online, 4(2), 70.
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  • Heijden, P.G.M. van der, Gilula, Z., & Ark, L.A. van der (1999). An extended study into the relationship between correspondence analysis and latent class analysis. Sociological Methodology, 29, 147-186.
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  • Mooijaart, A., Heijden, P.G.M. van der, & Ark, L.A. van der (1999). A least squares algorithm for a mixture model for compositional data. Computational Statistics and Data Analysis, 30, 359-380.
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Books

• 2005
  • Ark, L.A. van der, Croon, M.A., & Sijtsma, K. (Eds.). (2005). New developments in categorical data analysis for the social and behavioral sciences. Mahwah: Lawrence Erlbaum.
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• 1999
  • Ark, L.A. van der (1999). Contributions to Latent Budget Analysis; A Tool for the Analysis of Compositional Data. Leiden: DSWO-press.
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Book chapters

• 2010
  • Ark, L.A. van der (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.
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• 2008
  • Ark, L.A. van der, Croon, M.A., & Sijtsma, K. (2008). Possibilities and challenges in Mokken scale analysis using marginal models. In K. Shigemasu, A. Okada, T. Imaizuma, & T. Hodhina (Eds.), New trends in psychometrics (pp. 525-532). Tokyo: Universal Academic Press.
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  • Ligtvoet, R., Ark, L.A. van der, & 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. 235-532). Tokyo: Universal Academy Press.
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  • Zijlstra, W.P., Ark, L.A. van der, & Sijtsma, K. (2008). Outlier detection in the medical Questionnaire Rising and Sitting Down (QR\&S). In K. Shigemasu, A. Okada, T. Imaizumi, & T. Hoshino (Eds.), New Trends in Psychometrics (pp. 605-612). Tokyo: Universal Academy Press.
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• 2005
  • Ark, L.A. van der, Croon, M.A., & Sijtsma, K. (2005). Statistical models for categorical variables. In L.A. van der Ark, M.A. Croon, & K. Sijtsma (Eds.), New developments in categorical data analysis for the social and behavioral sciences. (pp. 1-14). Mahwah: Lawrence Erlbaum.
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  • Ark, L.A. van der, & Sijtsma, K. (2005). The effect of missing data imputation on Mokken scale analysis. In L.A. van der Ark, M.A. Croon, & K. Sijtsma (Eds.), New developments in categorical data analysis for the social and behavioral sciences. (pp. 147-166). Mahwah: Lawrence Erlbaum.
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• 2004
  • Ark, L.A. van der (2004). Latent budget analysis. In M. Lewis-Beck, A. Bryman, & T.F. Liao (Eds.), The sage encyclopedia of social science research methods (pp. 548). Thousand Oaks: Sage.
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• 2003
  • Ark, L.A. van der, & Diem, M.H.P. van (2003). Investigating cross-cultural differences in crying using manifest invariant item ordering. In H. Yanai, A. Okada, K. Shigemasu, Y. Kano, & J.J. Meulman (Eds.), New Developments on Psychometrics (pp. 305-312). Tokyo: Springer.
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• 2002
  • Ark, L.A. van der, Hemker, B.T., & Sijtsma, K. (2002). Hierarchically Related Nonparametric IRT Models, and Practical Data Analysis Methods. In G. Marcoulides & I. Moustaki (Eds.), Latent Variable and Latent Structure Modeling (pp. 41-62). Manwah: Lawrence Erlbaum.
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  • Heijden, P.G.M. van der, Ark, L.A. van der, & Mooijaart, A. (2002). Some examples of latent budget analysis and its extensions. In A.L. McCutcheon & J.A.P. Hagenaars (Eds.), Advances in Latent Class Modeling (pp. 107-136). Cambridge: Cambridge University Press.
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• 2001
  • Sijtsma, K., & Ark, L.A. van der (2001). Progress in NIRT analysis of polytomous item scores: Dilemmas and practical solutions. In A. Boomsma, M.A.J. van Duijn, & T.A.B. Snijders (Eds.), Essays on item response theory (pp. 297-318). New York: Springer.
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• 1998
  • Ark, L.A. van der, & Heijden, P.G.M. van der (1998). Graphical display of latent budget analysis and latent class analysis, with special reference to correspondence analysis. In J. Blasius & M. Greenacre (Eds.), Visualization of categorical data (pp. 489-509). San Diego: Academic Press.
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  • Ark, L.A. van der (1998). New developments in latent budget analysis. In xx IFCS-98 (Ed.), Data classification and related methods, VI Conference of the International Federation of Classification Societies, Rome 21-24 July 1998. Book of Shortpapers (pp. 319-322). Rome, Italy: Dipartimento di Statistica, probabilità e statistiche appl.
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Working and/or discussion papers

• 1999
  • Ark, L.A. van der (1999). A reference card for the relationships between IRT models for ordered polytomous items and some relevant properties. (WORC Paper, 99.10.02) pp. 1-47.
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Reports (government and other final research reports)

• 2008
  • Vries, A. de, & Ark, L.A. van der (2008). Scoring methods for ordinal multiple forced-choice items.
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• 2002
  • Abswoude, A.A.H. van, Vermunt, J.K., Hemker, B.T., & Ark, L.A. van der (2002). Mokken scale analysis using hierarchical clustering procedures.
    (More)
• 1998
  • Heijden, P.G.M. van der, Gilula, Z., & Ark, L.A. van der (1998). A note on the relation between joint correspondence analysis and latent class analysis. (Methods Series, MS-98-1) pp. 1-24.
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Conference papers

• 2005
  • Ark, L.A. van der (2005). Regression analysis of compositional data when both the dependent variable and independent variable are components. In G. Mateu-Figueras & C. Barcelo-Vidal (Eds.), Proceedings of the 2nd Compositional Data Analysis Workshop CoDaWork'05, Girona.
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• 2000
  • Ark, L.A. van der (2000). Person ordering in parametric polytomous IRT models: A simulation study. In W. Jansen & J.G. Bethlehem (Eds.), Proceedings in computational statistics 2000, short communications and posters (pp. 113-114). Voorburg: Statistics Netherlands/ IASC.
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  • Ark, L.A. van der (2000). On Stochastic Ordening in Polytomous IRT Models; A Simulation Study. In J. Blasius, J.J. Hox, E. de Leeuw, & P. Schmidt (Eds.), Social science methodology in the new millenium; proceedings of the Fifth International Conference on Logic and Methodology (pp. 1-7). Amsterdam: TT-publikaties.
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• 1999
  • Heijden, P.G.M. van der, Gilula, Z., & Ark, L.A. van der (1999). An extended study into the relationship between correspondence analysis and latent class analysis. Bulletin of the International Statistical Institute, ISI 99, 52nd Session, Contributed papers, Tome LVIII, Book 3 (pp. 393-394). Helsinki: Edita.
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