prof. dr. K. Sijtsma

Tilburg School of Social and Behavioral Sciences

Table of contents

• Journal articles
• Books
• Book chapters
• Other publications

Journal articles

• 2012
  • Emons, W.H.M., Sijtsma, K., & Pedersen, S.S. (2012). Dimensionality of the Hospital Anxiety and Depression Scale (HADS) in cardiac patients: Comparison of Mokken scale analysis and factor analysis. Assessment.
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  • Kruyen, P.M., Emons, W.H.M., & Sijtsma, K. (2012). Test length and decision quality in personnel selection: When is short too short? International Journal of Testing.
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  • Sijtsma, K. (2012). Future of psychometrics: Ask what psychometrics can do for psychology. Psychometrika, 77, 4-20.
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  • 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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  • Terpstra, M.J., Kuijlen, A.A.A., & Sijtsma, K. (2012). An empirical study into the influence of customer satisfaction on customer revenues. The Service Industries Journal.
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  • Vroege, L. de, Hoedeman, R., Nuyen, J., Sijtsma, K., & Feltz-Cornelis, C.M. van der (2012). Validation of the PHQ-15 for somatoform disorder in the occupational health care setting. Journal of Occupational Rehabilitation.
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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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  • Bouwmeester, S., Rijen, E.H.M., & Sijtsma, K. (2011). Understanding phoneme segmentation performance by analyzing abilities and word properties. European Journal of Psychological Assessment, 27(2), 95-102.
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  • Conijn, J.M., Emons, W.H.M., Assen, M.A.L.M. van, & Sijtsma, K. (2011). On the usefulness of a multilevel logistic regression approach to person-fit analysis. Multivariate Behavioral Research, 46, 365-388.
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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. (2011). Studietoetsen: Zinvolle inhoud of betrouwbare score? Examens. Tijdschrift voor de toetspraktijk, 8(4), 5-8.
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  • Sijtsma, K., & Emons, W.H.M. (2011). Advice on total-score reliability issues in psychosomatic measurement. Journal of Psychosomatic Research, 70(6), 565-572.
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  • Sijtsma, K. (2011). Introduction to the measurement of psychological attributes. Measurement. Journal of the International Measurement Confederation, 44(7), 1209-1219.
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  • Sijtsma, K., & Evers, A. (2011). Validiteit als tweezijdig probleem. De Psycholoog, 46(2), 40-46.
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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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  • Tijmstra, J., Hessen, D.J., Heijden, P.G.M. van der, & Sijtsma, K. (2011). Invariant ordering of item-total regressions. Psychometrika, 76(2), 217-227.
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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
  • Evers, A.V.A.M., Sijtsma, K., Lucassen, W., & Meijer, R.R. (2010). The Dutch review process for evaluating the quality of psychological tests: History, procedure and results. International Journal of Testing, 10(4), 295-317.
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  • Evers, A.V.A.M., Sijtsma, K., Lucassen, W., & Meijer, R.R. (2010). Het COTAN beoordelingssysteem voor de kwaliteit van tests herzien: What's new? De Psycholoog, 45(9), 48-55.
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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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• 2009
  • Sijtsma, K. (2009). Correcting fallacies in validity, reliability, and classification. International Journal of Testing, 9(3), 167-194.
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  • Sijtsma, K. (2009). Reliability beyond theory and into practice. Psychometrika, 74(1), 169-173.
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  • Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach's alpha. Psychometrika, 74(1), 107-120.
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  • Sijtsma, K. (2009). Over misverstanden rond Cronbachs alfa en de wenselijkheid van alternatieven. De Psycholoog, 44, 561-567.
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  • Wismeijer, A.A.J., Assen, M.A.L.M. van, Sijtsma, K., & Vingerhoets, A.J.J.M. (2009). Is the negative association between self-concealment and subjective well-being mediated by mood awareness? Journal of Social and Clinical Psychology, 28(6), 728-748.
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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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  • Meijer, R.R., Egberink, I.J.L., Emons, W.H.M., & Sijtsma, K. (2008). Detection and validation of unscalable item score patterns using item response theory: An illustration with Harter's self perception profile for children. Journal of Personality Assessment, 90(3), 227-238.
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  • Paas, L., & Sijtsma, K. (2008). Nonparametric item response theory for investigating dimensionality of marketing scales: A SERVQUAL application. Marketing Letters, 19(2), 157-170.
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  • Sijtsma, K., Emons, W.H.M., Bouwmeester, S., Nyklicek, I., & Roorda, L.D. (2008). Nonparametric IRT analysis of quality of life scales and its application to the World Health Organization Quality of Life scale (WHOQOL-Bref). Quality of Life Research, 17(2), 275-290.
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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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  • Wismeijer, A.A.J., Sijtsma, K., Assen, M.A.L.M. van, & Vingerhoets, A.J.J.M. (2008). A comparative study of the dimensionality of the self-concealment scale using principal components analysis and Mokken scale analysis. Journal of Personality Assessment, 90(4), 323-334.
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• 2007
  • Boor, K., Scheele, F., Vleuten, C.P.M. van der, Scherpbier, A.J.J.A., Teunissen, P.W., & Sijtsma, K. (2007). Psychometric properties of an instrument to measure the clinical learning environment. Medical Education, 41(1), 92-99.
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  • Bouwmeester, S., & Sijtsma, K. (2007). Latent class modeling of phase transition in the development of transitive reasoning. Multivariate Behavioral Research, 42(3), 457-480.
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  • Bouwmeester, S., Vermunt, J.K., & Sijtsma, K. (2007). Development and individual differences in transitive reasoning: A fuzzy trace theory approach. Developmental Review, 27(1), 41-74.
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  • Emons, W.H.M., Sijtsma, K., & Meijer, R.R. (2007). On the consistency of individual classification using short scales. Psychological Methods, 12(1), 105-120.
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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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  • Sijtsma, K., & Emons, W.H.M. (2007). Korte tests: Kostbare tijdwinst en onbetrouwbare beslissingen. De Psycholoog, 42(7-8), 406-411.
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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
  • Bakx, A.W.E.A., Sanden, J.M.M. van der, Sijtsma, K., Croon, M.A., & Vermetten, Y.J.M. (2006). The role of students' personality characteristics, self-perceived competence and learning conceptions in the acquisition and development of social communicative competence: A longitudinal study. Higher Education, 51(1), 71-104.
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  • Bouwmeester, S., & Sijtsma, K. (2006). Constructing a transitive reasoning test for 6 - to - 13 year old children. European Journal of Psychological Assessment, 22(4), 225-232.
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  • Sijtsma, K. (2006). Psychometrics for psychologists: Role model or partner in science? Psychometrika, 71(3), 451-455.
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  • Sijtsma, K., & Junker, B.W. (2006). Item response theory: Past performance, present developments, and future expectations. Behaviormetrika, 33(1), 75-102.
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• 2005
  • Bernaards, C.A., & Sijtsma, K. (2005). Bias in factor loadings from questionnaire data with imputed item scores. Journal of Statistical Computation and Simulation, 75(1), 13-23.
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  • Emons, W.H.M., Sijtsma, K., & Meijer, R.R. (2005). Global, local and graphical person-fit analysis using person response functions. Psychological Methods, 10(1), 101-119.
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• 2004
  • 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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  • Bouwmeester, S., & Sijtsma, K. (2004). Measuring the ability of transitive reasoning, using product and strategy information. Psychometrika, 69(1), 123-146.
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  • Bouwmeester, S., Sijtsma, K., & Vermunt, J.K. (2004). Latent class regression analysis for describing cognitive developmental phenomena: An application to transitive reasoning. European Journal of Developmental Psychology, 1(1), 67-86.
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  • Emons, W.H.M., Sijtsma, K., & Meijer, R.R. (2004). Testing hypotheses about the person-response function in person-fit analysis. Multivariate Behavioral Research, 39(1), 1-35.
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  • Mahesh, S., Sijtsma, K., Scheele, F., Wolf, W., & Driessen, E.W. (2004). Het genaecologisch logboek voor arts-assistenten: kansen voor een portfolio? Tijdschrift voor Medisch Onderwijs, 23(6), 274-280.
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  • Michielsen, H.J., Vries, J. de, Heck, G.L. van, Vijver, F.J.R. van de, & Sijtsma, K. (2004). Examination of the dimensionality of fatigue: The construction of the Fatigue Assessment Scale (FAS). European Journal of Psychological Assessment, 20(1), 39-48.
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• 2003
  • Emons, W.H.M., Glas, C.A.W., Meijer, R.R., & Sijtsma, K. (2003). Person fit in order-restricted latent class models. Applied Psychological Measurement, 27(6), 459-478.
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  • Koning, E. de, Sijtsma, K., & Hamers, J.H.M. (2003). Construction and Validation of a Test for Inductive Reasoning. European Journal of Psychological Assessment, 19(1), 24-39.
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  • 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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• 2002
  • Bakx, A.W.E.A., Sijtsma, K., Sanden, J.M.M. van der, & Taconis, R. (2002). Development and evaluation of a student-centered multimedia self-assessment instrument for social-communicative competence. Instructional Science, 30(5), 335-359.
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  • Emons, W.H.M., Meijer, R.R., & Sijtsma, K. (2002). Comparing simulated and theoretical sampling distributions of the U3 person-fit statistic. Applied Psychological Measurement, 26(1), 88-108.
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  • Koning, E. de, Hamers, J.H.M., Sijtsma, K., & Vermeer, A. (2002). Teaching inductive reasoning in primary education. Developmental Review, 22(2), 211-241.
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  • Koning, E. de, Sijtsma, K., & Hamers, J.H.M. (2002). Comparing of four IRT models when analyzing two tests for inductive reasoning. Applied Psychological Measurement, 26(3), 302-320.
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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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  • Junker, B.W., & Sijtsma, K. (2001). Cognitive assessment models with few assumptions, and connections with nonparametric item response theory. Applied Psychological Measurement, 25(3), 258-272.
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  • Junker, B.W., & Sijtsma, K. (2001). Nonparametric Item Response Theory in Action: An Overview of the Special Issue. Applied Psychological Measurement, 25(3), 211-220.
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  • Meijer, R.R., & Sijtsma, K. (2001). Methodology review: Evaluating person fit. Applied Psychological Measurement, 25(2), 107-135.
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  • Sijtsma, K., & Meijer, R.R. (2001). The person response function as a tool in person-fit research. Psychometrika, 66(2), 191-208.
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  • Sijtsma, K. (2001). Developments in measurements of persons and items by means of item response models. Behaviormetrika, 28(1), 65-94.
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• 2000
  • Bernaards, C.A., & Sijtsma, K. (2000). Influence of simple imputation and EM methods on factor analysis when item nonresponse in questionnaire data is nonignorable. Multivariate Behavioral Research, 35(3), 321-364.
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  • Junker, B.W., & Sijtsma, K. (2000). Latent and manifest monotonicity in item response models. Applied Psychological Measurement, 24(1), 65-81.
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  • Sijtsma, K., & Hemker, B.T. (2000). A taxonomy of IRT models for ordening persons and items using simple sum scores. Journal of Educational and Behavioral Statistics, 25(4), 391-415.
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• 1999
  • Bernaards, C.A., & Sijtsma, K. (1999). Factor analysis of multidimensional polytomous item response data suffering from ignorable item nonresponse. Multivariate Behavioral Research, 34(3), 277-313.
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  • Sijtsma, K., & Duijn, M.A.J. van (1999). Computerondersteund statistiekonderwijs aan de Nederlandse universiteiten: De stand van zaken. Kwantitatieve Methoden, 20(60), 5-7.
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  • Sijtsma, K., & Verweij, A.C. (1999). Knowledge of solution strategies and IRT modelling of items for transitive reasoning. Applied Psychological Measurement, 23(1), 55-68.
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  • Verweij, A.C., Sijtsma, K., & Koops, W. (1999). An ordinal scale for transitive reasoning by means of a deductive strategy. International Journal of Behavioral Development, 23(1), 241-264.
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• 1998
  • Hamers, J.H.M., Koning, E. de, & Sijtsma, K. (1998). Inductive reasoning in third grade: Intervention promises and constraints. Contemporary Educational Psychology, 23(2), 132-148.
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  • Hamers, J.H.M., Koning, E. de, & Sijtsma, K. (1998). Onderwijzen van inductief redeneren in groep 3 van de basisschool. Pedagogische Studiën, 75(4), 250-261.
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  • Sijtsma, K., & Hemker, B.T. (1998). Nonparametric polytomous IRT models for invariant item ordering, with results for parametric models. Psychometrika, 63(2), 183-200.
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  • Sijtsma, K. (1998). Methodology review: Nonparametric IRT approaches to the analysis of dichotomous item scores. Applied Psychological Measurement, 22(1), 3-31.
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• 1997
  • Hemker, B.T., Sijtsma, K., Molenaar, I.W., & Junker, B.W. (1997). Stochastic ordering using the latent trait and the sum score in polytomous IRT models. Psychometrika, 62(3), 331-347.
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• 1996
  • Heijden, P.G.M. van der, & Sijtsma, K. (1996). Fifty years of measurement and scaling in the Dutch social sciences. Statistica Neerlandica, 50(1), 111-135.
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  • Hemker, B.T., Sijtsma, K., Molenaar, I.W., & Junker, B.W. (1996). Polytomous IRT models and monotone likelihood ratio of the total score. Psychometrika, 61(4), 679-693.
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  • Sijtsma, K., & Junker, B.W. (1996). A survey of theory and methods of invariant item ordering. British Journal of Mathematical and Statistical Psychology, 49(1), 79-105.
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  • Verweij, A.C., Sijtsma, K., & Koops, W. (1996). A Mokken scale for transitive reasoning suited for longitudinal research. International Journal of Behavioral Development, 19(1), 219-238.
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• 1995
  • Heijden, P.G.M. van der, Sijtsma, K., & Hart, H. 't (1995). Self-report delinquentieschalen zijn nog steeds betrouwbaar: Een reactie op de studies van Bruinsma. Tijdschrift voor Criminologie, 37(1), 71-77.
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  • Heijden, P.G.M. van der, Sijtsma, K., & Hart, H. 't (1995). Dupliek: Over betrouwbaarheid, stabiliteit en artefacten. Tijdschrift voor Criminologie, 37(1), 80-82.
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  • Hemker, B.T., Sijtsma, K., & Molenaar, I.W. (1995). Selection of unidimensional scales from a multidimensional item bank in the polytomous Mokken IRT model. Applied Psychological Measurement, 19(4), 337-352.
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  • Meijer, R.R., Sijtsma, K., & Molenaar, I.W. (1995). Reliability estimation for single dichotomous items based on Mokken’s IRT model. Applied Psychological Measurement, 19(4), 323-335.
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  • Meijer, R.R., & Sijtsma, K. (1995). Detection of aberrant item score patterns: A review of recent developments. Applied Measurement in Education, 8(3), 261-272.
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• 1994
  • Meijer, R.R., Molenaar, I.W., & Sijtsma, K. (1994). Influence of test and person characteristics on nonparametric appropriateness measurement. Applied Psychological Measurement, 18(2), 111-120.
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  • Sanders, P.F., & Sijtsma, K. (1994). Methodologie & Evaluatie (Onderdeel van Kroniek: De Onderwijsresearchdagen 1994 in Utrecht: 24-26 mei 1994). Pedagogische Studiën, 71(6), 464-465.
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• 1993
  • Hemker, B.T., & Sijtsma, K. (1993). A practical comparison between the weighted and the unweighted H-coefficients of the Mokken model. Kwantitatieve Methoden, 14(44), 59-73.
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• 1992
  • Koolhaas, M.J., Sijtsma, K., & Witjas, R. (1992). Tijdperspectieven in time management trainingen: Enkele psychometrische aspecten van een vragenlijst. Gedrag en Organisatie, 5(2), 94-105.
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  • Sijtsma, K., & Verweij, A.C. (1992). Mokken scale analysis: Theoretical considerations and an application to transitivity tasks. Applied Measurement in Education, 5(4), 355-373.
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  • Sijtsma, K., & Meijer, R.R. (1992). A method for investigating intersection of item response functions in Mokken’s nonparametric IRT model. Applied Psychological Measurement, 16(2), 149-157.
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  • Verweij, A.C., Koops, W., & Sijtsma, K. (1992). De constructie van een ontwikkelingspsychologische schaal voor transitiviteit (Rubriek Instrumenteel onderzoek). Nederlands Tijdschrift voor de Psychologie, 47(4), 186-194.
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• 1991
  • Meijer, R. R., & Sijtsma, K. (1991). MOKSCAL: een programma voor dichotome Mokken-schaalanalyse. Kwantitatieve Methoden, 12(38), 101-112.
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• 1990
  • Berg, P.T. van den, Sijtsma, K., & Feij, J.A. (1990). De invloed van het samenvoegen van geordende antwoordcategorieën op de H-coëfficiënt van het Mokken-model. Kwantitatieve Methoden, 11(33), 41-56.
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  • Meijer, R.R., Sijtsma, K., & Smid, N.G. (1990). Theoretical and empirical comparison of the Mokken and the Rasch approach to IRT. Applied Psychological Measurement, 14(3), 283-298.
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  • Sijtsma, K., Debets, P., & Molenaar, I.W. (1990). Mokken scale analysis for polychotomous items: Theory, a computer program and an empirical application. Quality & Quantity, 24(2), 173-188.
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  • Sijtsma, K. (1990). Betekenis en bruikbaarheid van het Mokken-model (Rubriek Wetenschappelijke ontwikkelingen). Nederlands Tijdschrift voor de Psychologie, 45(2), 77-85.
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• 1989
  • Debets, P., Brouwer, E., Sijtsma, K., & Molenaar, I.W. (1989). MSP: A computer program for item analysis according to a nonparametric IRT approach. Educational and Psychological Measurement, 49(3), 609-613.
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  • Debets, P., Sijtsma, K., Brouwer, E., & Molenaar, I.W. (1989). MSP: A computer program for item analysis according to a nonparametric IRT approach. Psychometrika, 54(3), 534-536.
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• 1988
  • Maanen, L. van, Been, P.H., & Sijtsma, K. (1988). Het Lineair Logistisch Test Model en heterogeniteit van cognitieve strategieën bij balansproblemen. Tijdschrift voor Onderwijsresearch, 13(6), 301-310.
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  • Molenaar, I.W., & Sijtsma, K. (1988). Mokken’s approach to reliability estimation extended to multicategory items. Kwantitatieve Methoden, 9(28), 115-126.
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• 1987
  • Sijtsma, K., Algera, J.A., & Altink, W.M.M. (1987). Een stap terug? Reactie op: Liever klinisch? Grenzen aan het objectiviteitsbeginsel bij beoordeling en selectie, door W.K.B. Hofstee. Nederlands Tijdschrift voor de Psychologie, 42(4), 250-253.
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  • Sijtsma, K., & Molenaar, I.W. (1987). Reliability of test scores in nonparametric item response theory. Psychometrika, 52(1), 79-97.
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  • Sijtsma, K., Roos, S.N., & Bernaert, G.F. (1987). Beelden van en voorkeuren voor universiteiten. U & H: Tijdschrift voor Wetenschappelijk Onderwijs, 33(4), 172-179.
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• 1986
  • Mokken, R.J., Lewis, C., & Sijtsma, K. (1986). Rejoinder to 'The Mokken scale: A critical discussion'. Applied Psychological Measurement, 10(3), 279-285.
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  • Sijtsma, K., & Prins, P.M. (1986). Itemselectie in het Mokken model. Tijdschrift voor Onderwijsresearch, 11(3), 121-129.
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  • Sijtsma, K. (1986). A coefficient of deviance of response patterns. Kwantitatieve Methoden, 7(22), 131-145.
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  • Sijtsma, K. (1986). Another note on the usefulness of Mokken scaling. Psychologische Beiträge, 28(3/4), 425-432.
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• 1984
  • Molenaar, I.W., & Sijtsma, K. (1984). Internal consistency and reliability in Mokken’s nonparametric item response model. Tijdschrift voor Onderwijsresearch, 9(5), 257-268.
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  • Sijtsma, K. (1984). Useful nonparametric scaling: A reply to Jansen. Psychologische Beiträge, 26(3), 423-437.
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• 1983
  • Sijtsma, K. (1983). Rasch-homogeniteit empirisch onderzocht. Tijdschrift voor Onderwijsresearch, 8(3), 104-121.
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Books

• 2009
  • Evers, A., Lucassen, W., Meijer, R.R., & Sijtsma, K. (2009). COTAN Beoordelingssysteem voor de kwaliteit van tests. Amsterdam: Nederlands Instituut van Psychologen/Commissie Testaangelegenheden Nederland.
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• 2006
  • Drenth, P.J.D., & Sijtsma, K. (2006). Testtheorie : Inleiding in de theorie van de psychologische test en zijn toepassingen. Houten: Bohn Stafleu van Loghum.
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• 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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• 2002
  • Sijtsma, K., & Molenaar, I.W. (2002). Introduction to nonparametric item response theory. Thousand Oaks, CA: Sage. (Measurement methods for the Social Science, 5).
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• 2000
  • Molenaar, I.W., & Sijtsma, K. (2000). MPS5 for Windows. A program for Mokken scale analysis for polytomous items. Groningen: iec ProGAMMA.
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• 1998
  • Sijtsma, K. (1998). De data maken het model. Over het beperkte belang van meetniveaus en latente schalen. Tilburg: Tilburg University Press.
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• 1994
  • Molenaar, I.W., Debets, P., Sijtsma, K., & Hemker, B.T. (Eds.). (1994). MSP: A program for Mokken Scale analysis for Polytomous Items: Version 3.0: User's manual. Groningen: IEC ProGAMMA.
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• 1993
  • Hamers, J.H.M., Sijtsma, K., & Ruijssenaars, A.J.J.M. (Eds.). (1993). Learning potential assessment: Theoretical, methodological and practical issues. Amsterdam: Swets & Zeitlinger.
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• 1990
  • Drenth, P.J.D., & Sijtsma, K. (1990). Testtheorie: Inleiding in de theorie van de psychologische test en zijn toepassingen. Houten: Van Loghum Slaterus.
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• 1988
  • Sijtsma, K. (1988). Contributions to Mokken’s nonparametric item response theory. Amsterdam: Free University Press.
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Book chapters

• 2010
  • Sijtsma, K., & Emons, W.H.M. (2010). Nonparametric statistical methods. In B. McGaw, E. Baker, & P.P. Peterson (Eds.), International encyclopedia of education (pp. 347-353). Oxford: Elsevier.
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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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  • Sijtsma, K., & Emons, W.H.M. (2008). Statistical models for the development of psychological and educational tests. In T. Rudas (Ed.), Handbook of probability: Theory and applications (pp. 257-275). Thousand Oaks, CA: Sage.
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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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• 2007
  • Sijtsma, K., & Meijer, R.R. (2007). Nonparametric item response theory and related topics. In C.R. Rao & S. Sinharay (Eds.), Handbook of statistics 26: Psychometrics (pp. 719-746). Amsterdam: Elsevier. ().
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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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  • Sijtsma, K. (2005). Nonparametric item response theory models. In K. Kempf-Leonard (Ed.), Encyclopedia of Social Measurement (pp. 875-882). New York: Elsevier.
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  • Sijtsma, K. (2005). Nonparametric item response theory. In B. Everitt & D. Howell (Eds.), Encyclopedia of Statistics in Behavioral Science (pp. 1421-1426). Chichester: Wiley.
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• 2004
  • Sijtsma, K. (2004). Item response theory. In M. Lewis-beck, A.E. Bryman, & T.F. Liao (Eds.), The Sage encyclopedia in social science research methods (pp. 529-533). Thousand Oaks CA: Sage.
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  • Sijtsma, K. (2004). Psychometrics. In M. Lewis-beck, A.E. Bryman, & T.F. Liao (Eds.), The Sage encyclopedia in social science research methods (pp. 880-881). Thousand Oaks CA: Sage.
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• 2003
  • Sijtsma, K. (2003). Developments in practical nonparametric IRT scale analysis. In H. Yanai, A. Okada, K. Shigemasu, Y. Kano, & J.J. Meulman (Eds.), New Developments on Psychometrics (pp. 183-190). 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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• 2001
  • Scheirs, J.G.M., & Sijtsma, K. (2001). The study of crying: Some methodological considerations and a comparison of methods for analyzing questionnaires. In A.J.J.M. Vingerhoets & R.R. Cornelius (Eds.), Adult crying. A biopsychosocial approach (pp. 277-298). Hove (UK): Brunner-Routledge.
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  • 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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• 2000
  • Bekker, M.H.J., & Sijtsma, K. (2000). The Total Workload Questionnaire. In J. Maltby, C.A. Lewis, & A.P. Hill (Eds.), Commissioned Reviews of 250 Psychological Tests (pp. 903-905). Lampeter, Wales: Edwin Mellen. (Volume II).
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  • Sijtsma, K. (2000). Psychometrie voor psychologen: Over de betekenis van de item-respons-theorie voor de psychologische test. In N. Bleichrodt, H. van der Flier, & P.L. Koopman (Eds.), Werken en laten werken. Bijdragen vanuit de arbeids- en organisatiepsychologie (pp. 301-316). Houten: Bohn Stafleu Van Loghum.
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  • Sijtsma, K. (2000). Social science measurement by means of item response models. In P.G.M. van der Heijden & J.K. Bethlehem (Eds.), Proceedings in computational statistics (pp. 451-456). Heidelberg: Physica-Verlag.
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• 1998
  • Sijtsma, K. (1998). Beyond Mokken scale analysis: Related results and recent developments. In M. Fennema, C. van der Eijk, & H. Schijf (Eds.), In search of structure. Essays in social science and methodology (pp. 29-44). Amsterdam: Het spinhuis.
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• 1997
  • Sijtsma, K., & Junker, B.W. (1997). Invariant item ordering of transitive reasining tasks. In J. Rost & R. Langeheine (Eds.), Applications of latent trait and latent class models in the social sciences (pp. 100-110). Munster, Germany: Waxmann Verlag.
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• 1995
  • Hamers, J.H.M., & Sijtsma, K. (1995). Trends in learning potential assessment. In J.S. Carlson (Ed.), European contributions to dynamic assessment (pp. 83-116). Greenwich, CT: JAI Press. (Advances in cognition and educational practice, 3).
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  • Meijer, R.R., & Sijtsma, K. (1995). Person-fit analysis: Classification of persons on the basis of their item score patterns. In J.J. Hox & W. Jansen (Eds.), Measurement problems in social and behavioral research (pp. 51-66). Amsterdam: Stichting Kohnstamm Fonds voor Onderwijsresearch. (SCO-rapport, 381).
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• 1993
  • Hamers, J.H.M., & Sijtsma, K. (1993). Learning potential assessment: Epilogue. In J.H.M. Hamers, K. Sijtsma, & A.J.J.M. Ruijssenaars (Eds.), Learning potential assessment: Theoretical, methodological and practical issues (pp. 365-376). Amsterdam: Swets & Zeitlinger.
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  • Meijer, R.R., & Sijtsma, K. (1993). Reliability of item scores and its use in person fit research. In R. Steyer, K.F. Wender, & K.F. Widaman (Eds.), Psychometric Methodology: Proceedings of the 7th European Meeting of the Psychometric Society in Trier (pp. 326-332). Stuttgart: Gustav Fischer Verlag.
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  • Sijtsma, K. (1993). Classical and modern test theory with an eye toward learning potential testing. In J.H.M. Hamers, K. Sijtsma, & A.J.J.M. Ruijssenaars (Eds.), Learning potential assessment: Theoretical, methodological and practical issues (pp. 117-133). Amsterdam: Swets & Zeitlinger.
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  • Sijtsma, K. (1993). Psychometric issues in learning potential assessment. In J.H.M. Hamers, K. Sijtsma, & A.J.J.M. Ruijssenaars (Eds.), Learning potential assessment: Theoretical, methodological and practical issues (pp. 175-193). Amsterdam: Swets & Zeitlinger.
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• 1991
  • Sijtsma, K., & Resing, W.C.M. (1991). Scalability of an intelligence test for different ethnic groups. In N. Bleichrodt & P.J.D. Drenth (Eds.), Contemporary issues in cross-cultural psychology: Selected papers from a regional conference of the International Association for Cross-cultural Psychology (pp. 361-373). Amsterdam: Swets & Zeitlinger.
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  • Sijtsma, K., & Meijer, R.R. (1991). Invariante itemordening in tests en studietoetsen: Een eenvoudige onderzoeksmethode. In J. Hoogstraten & W.J. van der Linden (Eds.), Methodologie (pp. 113-121). Amsterdam: Stichting Centrum voor Onderwijsonderzoek van de Universiteit van Amsterdam. (Onderwijsresearchdagen ’91).
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• 1989
  • Maanen, L. van, Been, P.H., & Sijtsma, K. (1989). Problem solving strategies and the Linear Logistic Test Model. In E.E.C.I. Roskam (Ed.), Mathematical psychology in progress (pp. 267-287). Berlin: Springer. (Recent research in psychology).
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• 1988
  • Sijtsma, K. (1988). Reliability estimation in Mokken’s nonparametric item response model. In W.E. Saris & I.N. Gallhofer (Eds.), Sociometric research (Vol. 1: Data collection and scaling) (pp. 159-174). Basingstoke: Macmillan.
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• 1987
  • Debets, P., Sijtsma, K., & Molenaar, I.W. (1987). Mokken-Schaalanalyse voor meercategoriële items: Het programma MSP. In P. Debets, W.J. Keller, I.W. Molenaar, T.A.B. Snijders, A. Verbeek, & L.T.H. van der Weele (Eds.), SSS’87: Symposium Statistische Software: Bundel bij het symposium gehouden op 16 oktober 1987, Jaarbeurs Utrecht (pp. 203-220). Groningen: Rekencentrum Rijksuniversiteit Groningen.
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• 1984
  • Been, P.H., Jorna, R.J., & Sijtsma, K. (1984). Over kijken, meten en modellen bij breukrekentaken. In P.G. Vos, K.B. Koster, & J. Kingma (Eds.), Rekenen: Balans van standpunten in theoretisch en empirisch onderzoek (pp. 125-140). Lisse: Swets & Zeitlinger.
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• 1982
  • Sijtsma, K. (1982). Een lineair logistisch model ter verklaring van de moeilijkheidsparameters van breukrekenitems. In J.G.L.C. Lodewijks & P.R.J. Simons (Eds.), Strategieën in leren en ontwikkeling (pp. 69-79). Lisse: Swets & Zeitlinger. (Bijdragen tot de onderwijsresearchdagen 1982, 3).
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Other publications

• 2010
  • Sijtsma, K. (2010). Review of: Lissitz, R.W. (2009). The concept of validity. Revisions, new directions, and applications. (Review of the book The concept of validity. Revisions, new directions, and applications, R.W. Lissitz, 2009, 978-1-60752-227-0). Psychometrika, 75(4), 780-782.
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• 1999
  • Sijtsma, K. (1999). Review of the book Comparability of test scores for immigrants and majority group members in the Netherlands, J. te Nijenhuis, 1999, 90-9011113-1. International Journal of Selection and Assessment, 7(1), 51-52.
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• 1995
  • Sijtsma, K. (1995). Review of the book Nonparametric unfolding models: A latent structure approach, W.J. Post, 1992, 9090049568. Journal of Classification, 12(1), 153-156.
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• 1993
  • Sijtsma, K. (1993). Kaf en koren onder Nederlandse tests (Review of the book Documentatie van tests en testresearch in Nederland, A. Evers, J.C. van Vliet-Mulder, J. ter Laak, 1992, 9023227328). De Psycholoog, 28(11), 502-503.
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