prof. dr. J.K. (Jeroen) Vermunt

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
• Other publications

Journal articles

• 2011
  • Almansa, J., Vermunt, J.K., Forero, C.G., Vilagut, G., & Graaf, R. de (2011). Measurement and description of underlying dimensions of comorbid mental disorders using factor mixture models: Results on the ESEMeD project. International Journal of Methods in Psychiatric Research, 20, 116-133.
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  • Kankaras, M., Vermunt, J.K., & Moors, G.B.D. (2011). Measurement equivalence of ordinal items: A comparison of factor analytic, item response theory, and latent class approaches. Sociological Methods and Research, 40(2), 279-310.
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  • Kleijn, W.P.E. de, Drent, M., Vermunt, J.K., Shigemitsu, H., & Vries, J. de (2011). Types of fatigue in sarcoidosis patients. Journal of Psychosomatic Research, 71(6), 416-422.
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  • Martella, F., Vermunt, J.K., Beekman, M., Westendorp, R.G.J., Slagboom, P.E., & Houwing-Duistermaat, J.J. (2011). A mixture model with random-effects components for classifying sibling pairs. Statistics in Medicine, 30(27), 3252-3264.
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  • Morren, M.H., Gelissen, J.P.T.M., & Vermunt, J.K. (2011). Dealing with extreme response style in cross-cultural research: A restricted latent class factor Analysis approach. Sociological Methodology, 41(1), 13-47.
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  • Notelaers, G., Vermunt, J.K., Baillien, E., Einarsen, S., & Witte, H. de (2011). Exploring risk groups and risk factors for workplace bullying. Industrial Health, 49, 73-88.
    (More)
  • Ramos, S., Vermunt, J.K., & Dias, J.G. (2011). When markets fall down: Are emerging markets all equal? International Journal of Finance and Economics, 16, 324-338.
    (More)
  • Tay, L., Newman, D.A., & Vermunt, J.K. (2011). Using mixed-measurement item response theory with covariates (MM-IRT-C) to ascertain observed and unobserved measurement equivalence. Organizational Research Methods, 14(1), 147-176.
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  • Tay, L., Diener, E., Drasgow, F., & Vermunt, J.K. (2011). Multilevel mixed-measurement IRT analysis: An explication and application to self-reported emotions across the world. Organizational Research Methods, 14(1), 177-207.
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  • Vermunt, J.K. (2011). K-means may perform as well as mixture model clustering but may also be much worse: Comment on Steinley and Brusco. Psychological Methods, 16, 82-88.
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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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  • 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.
    (Free access)
    (More)
  • Lukociene, O., Varriale, R., & Vermunt, J.K. (2010). The simultaneous decision(s) about the number of lower- and higher-level classes in multilevel latent class analysis. Sociological Methodology, 40(1), 247-283.
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  • Manzoni, A., Vermunt, J.K., Luijkx, R., & Muffels, R.J.A. (2010). Memory bias in retrospectively collected employment careers: A model-based approach to correct for measurement error. Sociological Methodology, 40(1), 39-73.
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  • Mulder, E.J., Koopman, C.M., Vermunt, J.K., Valk, H.W. de, & Visser, G.H.A. (2010). Fetal growth trajectories in type-1 diabetic pregnancy. Ultrasound in Obstetrics and Gynecology, 36(6), 735-742.
    (More)
  • Palardy, G., & Vermunt, J.K. (2010). Multilevel growth mixture models for classifying groups. Journal of Educational and Behavioral Statistics, 35(5), 532-565.
    (More)
  • Pavlopoulos, D., Muffels, R.J.A., & Vermunt, J.K. (2010). Wage mobility in Europe: A comparative analysis using restricted multinomial logit regression. Quality and Quantity, 44(1), 115-129.
    (More)
  • Vermunt, J.K. (2010). Latent class modeling with covariates: Two improved three-step approaches. Political Analysis, 18(4), 450-469.
    (More)
• 2009
  • Leask, S., Vermunt, J.K., Done, D.J., Crowd, T.J., Blows, M., & Boks, M.P.M. (2009). Beyond symptom dimensions: Schizophrenia risk factors for patient groupds derived by latent class analysis. Schizophrenia Research, 115(2-3), 346-350.
    (More)
  • Mierlo, H. van, Vermunt, J.K., & Rutte, C.G. (2009). Composing group-level constructs from individual-level survey data. Organizational Research Methods, 12(2), 368-392.
    (More)
  • Pavlopoulos, D., Muffels, R.J.A., & Vermunt, J.K. (2009). Training and low-pay mobility: The case of the UK and the Netherlands. Labour. Review of Labour Economics and Industrial Relations, 23(1), 37-59.
    (More)
• 2008
  • Dias, J.G., & Vermunt, J.K. (2008). A bootstrap-based aggregate classifier for model-based clustering. Computational Statistics, 23(4), 643-659.
    (More)
  • Hest, N.A.H. van, Hoebe, C.J.P.A., Boer, J.W. den, Vermunt, J.K., IJzerman, E.P.F., Boersman, W.G., & Richardus, J.H. (2008). Incidence and completeness of notification of Legionnaires' disease in the Netherlands: Covariate capture-recapture analysis acknowledging regional differences. Epidemiology and Infection, 136(4), 540-550.
    (More)
  • Vermunt, J.K. (2008). Latent class and finite mixture models for multilevel data sets. Statistical Methods in Medical Research, 17(1), 33-51.
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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.
    (Free access)
    (More)
  • Vermunt, J.K. (2008). Multilevel latent variable modeling: An application in educational testing. Austrian Journal of Statistics, 37(3-4), 285-299.
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  • Vries, H. de, Riet, J. van 't, Spigt, M.H., Metsemakers, J., Akker, M. van den, Vermunt, J.K., & Kremers, S.P.J. (2008). Clusters of lifestyle behaviors: Results from the Dutch SMILE study. Preventive Medicine, 46(3), 203-208.
    (More)
• 2007
  • Abswoude, A.A.H. van, Vermunt, J.K., & Hemker, N. (2007). Assessing dimensionality by maximizing H coefficient based objective functions. Applied Psychological Measurement, 31(4), 308-330.
    (Free access)
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  • Anderson, C., Zhushan, L., & Vermunt, J.K. (2007). Estimation of models in a Rasch family for polytomous items and multiple latent variables. Journal of Statistical Software, 20(6), 1-35.
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  • Boks, M.P.M., Leask, S., Vermunt, J.K., & Kahn, R.S. (2007). The structure of psychosis revisited: The role of mood symptoms. Schizophrenia Research, 93(1), 178-185.
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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.
    (Free access)
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  • Chen, F., Mackey, A.J., Vermunt, J.K., & Roos, D.S. (2007). Assessing performance of orthology detection strategies applied to eukaryotic genomes. PLoS ONE, 2(4), e383.
    (Free access)
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  • Dias, J.G., & Vermunt, J.K. (2007). Latent class modeling of website users' search patterns: Implications for online market segmentation. Journal of Retailing and Consumer Services, 14(6), 359-368.
    (Free access)
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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.
    (Free access)
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  • Infant-Rivas, C., Vermunt, J.K., & Weinberg, C.R. (2007). Excess transmission of the NQ01 C609T polymorphism in families of children with acute lymphoblastic leukemia. American Journal of Epidemiology, 165(11), 1248-1254.
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  • Kalmijn, M., & Vermunt, J.K. (2007). Homogeneity of social networks by age and marital status: A multilevel analysis of ego-centered networks. Social Networks, 29(1), 25-43.
    (Free access)
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  • Lee, H.K., Baillargeon, R.H., Vermunt, J.K., Wu, H.X, & Tremblay, R.E. (2007). Age differences in the prevalence of physical aggression among 5- to 11-year-old Canadian boys and girls. Aggressive Behavior, 33(1), 26-37.
    (Free access)
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  • Mierlo, H. van, Rutte, C.G., Vermunt, J.K., Kompier, M., & Doorewaard, H.A.C.M. (2007). A multilevel mediation model of the relationships between team autonomy, individual task design, and psychological well-being. Journal of Occupational and Organizational Psychology, 80(4), 647-664.
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  • Moors, G.B.D., & Vermunt, J.K. (2007). Heterogeneity in postmaterialist value priorities. Evidence from a latent class discrete choice approach. European Sociological Review, 23(5), 631-648.
    (Free access)
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  • Notelaers, G., Witte, H. de, Veldhoven, M.J.P.M. van, & Vermunt, J.K. (2007). Construction and validation of the Short Inventory to Monitor Psychosocial Hazards. Médecine du Travail & Ergonomie, 44(1), 11-18.
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  • Paas, L.J., Vermunt, J.K., & Bijmolt, T.H.A. (2007). Discrete-time discrete-state latent Markov modelling for assessing and predicting household acquisitions of financial products. Journal of the Royal Statistical Society, Series A, 170(4), 955-974.
    (Free access)
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  • Paas, L.J., Bijmolt, T.H.A., & Vermunt, J.K. (2007). Acquisition patterns of financial products: A longitudinal investigation. Journal of Economic Psychology, 28(2), 229-241.
    (Free access)
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  • Pavlopoulos, D., Fouarge, D.J.A.G., Muffels, R.J.A., & Vermunt, J.K. (2007). Job mobility and wage mobility of high- and low-paid workers. Schmollers Jahrbuch; Journal of Applied Social Science Studies, 127(1), 47-58.
    (More)
  • Vermunt, J.K., & Magidson, J. (2007). Latent class analysis with sampling weights: A maximum likelihood approach. Sociological Methods and Research, 36(1), 87-111.
    (More)
  • Vermunt, J.K. (2007). A hierarchical mixture model for clustering three-way data sets. Computational Statistics and Data Analysis, 51(11), 5368-5376.
    (Free access)
    (More)
• 2006
  • Duijn, M.A.J. van, & Vermunt, J.K. (2006). What is special about social network analysis? Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 2(1), 2-6.
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  • Galindo-Garre, F., & Vermunt, J.K. (2006). Avoiding boundary estimates in latent class analysis by Bayesian posterior mode estimation. Behaviormetrika, 33(1), 43-59.
    (Free access)
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  • Mierlo, H. van, Rutte, C.G., Vermunt, J.K., Kompier, M., & Doorewaard, J.A.C.M. (2006). Individual autonomy in work teams: The role of team autonomy, self-efficacy, and social support. European Journal of Work and Organizational Psychology, 15(2), 281-299.
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  • Notelaers, G., Einarsen, S., Witte, H. de, & Vermunt, J.K. (2006). Measuring exposure to bullying at work: The validity and advantages of the latent class cluster approach. Work & Stress, 20(4), 289-302.
    (Free access)
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  • Notelaers, G., Witte, H. de, Vermunt, J.K., & Einarsen, S. (2006). Pesten op het werk, gewikt en gewogen: Een latente klassen benadering op basis van de negatieve Acts-vragenlijst. Gedrag en Organisatie, 19(2), 149-160.
    (Free access)
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  • Vermunt, J.K., & Kalmijn, M. (2006). Random effects models for personal networks: An application to marital status homogeneity. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 2(1), 34-41.
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• 2005
  • Galindo-Garre, F., & Vermunt, J.K. (2005). Testing Log-Linear Models with Inequality Constraints: A Comparison of Asymptotic, Bootstrap, and Posterior Predictive P Values. Statistica Neerlandica, 59(1), 82-94.
    (Free access)
    (More)
  • Magidson, J., & Vermunt, J.K. (2005). A nontechnical introduction to latent class models. DMA Research Council Journal, ?.
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  • Magidson, J., & Vermunt, J.K. (2005). Comment on "Current Issues and a "Wish List" for Conjoint Analysis". Applied Stochastic Models in Business and Industry, 21(4-5), 327-328.
    (Free access)
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  • Mierlo, H. van, Rutte, C., & Vermunt, J.K. (2005). Using individual level survey data to measure group constructs : a comparison of items with reference to the individual and to the group in a job design context. Organisational Research Methods, ?.
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  • Vermunt, J.K. (2005). Mixed-effects logistic regression models for indirectly observed discrete outcome variables. Multivariate Behavioral Research, 40(3), 281-301.
    (Free access)
    (More)
  • Vermunt, J.K., & Anderson, C. (2005). Joint Correspondence Analysis (JCA) by maximum likelihood. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences, 1(1), 18-26.
    (Free access)
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  • Vermunt, J.K. (2005). Mixed-effects logistic regression models for indirectly observed outcome variables. Multivariate Behavioral Research, 40, 281-301.
    (Free access)
    (More)
• 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.
    (Free access)
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  • Bijmolt, T.H.A., Paas, L.J., & Vermunt, J.K. (2004). Country and consumer segmentation: Multi-level latent class analysis of financial product ownership. International Journal of Research in Marketing, 21(4), 323-340.
    (Free access)
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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.
    (Free access)
    (More)
  • Galindo-Garre, F., & Vermunt, J.K. (2004). The order-restricted association model: Two estimation algorithms and issues in testing. Psychometrika, 69(4), 641-654.
    (Free access)
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  • Galindo-Garre, F., Vermunt, J.K., & Bergsma, W.P. (2004). Bayesian Posterior Estimation of Logit Parameters with small Samples. Sociological Methods and Research, 33(1), 88-117.
    (Free access)
    (More)
  • Galindo-Garre, F., & Vermunt, J.K. (2004). Testing log-linear models with inequality constraints: A comparison of asymptotic, bootstrap, and posterior predictive P values. Statistica Neerlandica, 59(1), 82-94.
    (Free access)
    (More)
  • Maas, C.J.M., & Vermunt, J.K. (2004). Editorial introduction to special issue on "Multilevel and other types of random coefficients models". Statistica Neerlandica, 58, 125-126.
    (Free access)
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  • Vermunt, J.K. (2004). Comment on "An analysis of classification error for the revised current population survey on employment questions". Survey Methodology, 30(2), 141-144.
    (More)
  • Vermunt, J.K. (2004). Commentary on 'An analysis of classification error for the revised current population survey employment questions'. Survey Methodology, 30, 141-144.
    (Free access)
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  • Vermunt, J.K. (2004). An EM algorithm for the estimation of parametric and nonparametric hierarchical nonlinear models. Statistica Neerlandica, 58, 220-233.
    (Free access)
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  • Vermunt, J.K. (2004). Toepassingen van latent klasse analyse in sociaal wetenschappelijk onderzoek. Sociale Wetenschappen, 47, 2-14.
    (Free access)
    (More)
• 2003
  • Vermunt, J.K. (2003). Multilevel Latent Class Models. Sociological Methodology, 33(1), 213-239.
    (Free access)
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  • Vermunt, J.K. (2003). Applications of Latent Class Analysis in Social Science Research. Lecture Notes in Artificial Intelligence, 2711, 22-36.
    (Free access)
    (More)
  • Vermunt, J.K., & Magidson, J. (2003). Latent class models for classification. Computational Statistics and Data Analysis, 41(3-4), 531-537.
    (Free access)
    (More)
• 2002
  • Brouhns, N., Denuit, M., & Vermunt, J.K. (2002). A Poisson log-bilinear regression approach to the construction of projected lifetables. Insurance : Mathematics & Economics, 31(3), 373-393.
    (Free access)
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  • Brouhns, N., Denuit, M., & Vermunt, J.K. (2002). Measuring the longevity risk in mortality projections. Bulletin of the Swiss Association of Actuaries,(2), 105-130.
    (Free access)
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  • Galindo-Garre, F., Vermunt, J.K., & Croon, M.A. (2002). Likelihood-ratio tests for order-restricted log-linear models: A comparison of asymptotic and bootstrap methods. Metodología de las Ciencias del Comportamiento, 4(2), 325-337.
    (Free access)
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  • Magidson, J., & Vermunt, J.K. (2002). Latent class modeling as a probabilistic extension of K-means clustering. Quirk's Marketing Research Review, 20(3), 77-80.
    (Free access)
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  • Magidson, J., & Vermunt, J.K. (2002). Latent class models for clustering: a comparison with K-means. Canadian Journal of Marketing Research, 20(1), 36-43.
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  • Vermunt, J.K. (2002). An expectation-maximization algorithm for generalised linear three-level models. Multilevel Modelling Newsletter, 14(2), 3-10.
    (Free access)
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  • Vermunt, J.K. (2002). Latent class analysis of complex sample survey data: Application to dietary data. Journal of the American Statistical Association, 97(459), 736-737.
    (Free access)
    (More)
  • Vermunt, J.K., & Georg, W. (2002). Longitudinal data analysis using log-linear path models with latent variables. Metodología de las Ciencias del Comportamiento, 4(1), 37-53.
    (Free access)
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• 2001
  • Magidson, J., & Vermunt, J.K. (2001). Latent class factor and cluster models, bi-plots and tri-plots and related graphical displays. Sociological Methodology, 31(1), 223-264.
    (Free access)
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  • Poppel, F. van, Liefbroer, A.C., Vermunt, J.K., & Smeets, W. (2001). Love, Necessity and opportunity: Changing patterns of marital age homogamy in the Netherlands, 1850-1993. Population Studies : A Journal of Demography, 55(1), 1-13.
    (Free access)
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  • Vermunt, J.K., Rodrigo, M.F., & Ato-Garcia, M. (2001). Modeling joint and marginal distributions in the analysis of categorical panel data. Sociological Methods and Research, 30(2), 170-196.
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  • Vermunt, J.K., & Dijk, L.A. van (2001). A nonparametric random-coefficients approach: The latest class regression model. Multilevel Modelling Newsletter, 13(2), 6-13.
    (Free access)
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  • Vermunt, J.K. (2001). The use of restricted latent class models for defining and testing nonparametric and parametric IRT models. Applied Psychological Measurement, 25(3), 283-294.
    (Free access)
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• 2000
  • Anderson, C., & Vermunt, J.K. (2000). Log-multiplicative association models as latent variable models for nominal and/or ordinal data. Sociological Methodology, 30, 81-122.
    (Free access)
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  • Bassi, F., Hagenaars, J.A.P., Croon, M.A., & Vermunt, J.K. (2000). Estimating True Changes when Categorical Panel Data Are Affected by Uncorrelated and Correlated Errors. Sociological Methods and Research, 29(2), 230-268.
    (Free access)
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  • Oord, E. van den, & Vermunt, J.K. (2000). Testing for linkage disequilibrium, maternal effects, and imprinting with (in)complete case-parent triads using the computer program LEM. American Journal of Human Genetics, 66, 335-338.
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  • Vossen, A.P.J.G., & Vermunt, J.K. (2000). Young adults' preferences regarding their partner's age, and the importance of age as a partner choice determinant. Results from a Dutch survey. Genus: gender in modern culture, 56(1/2), 177-201.
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• 1999
  • Magidson, J., & Vermunt, J.K. (1999). Latent class factor analysis. Abstract. Method of Psychlogical Research on line, 4, 46-47.
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  • Pieters, R.J., Baumgarter, H., Vermunt, J.K., & Bijmolt, T.H.A. (1999). Importance and similarity in the evolving citation network of the International Journal of Research in Marketing. International Journal of Research in Marketing, 16, 113-127.
    (Free access)
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  • Rees, C.J. van, Vermunt, J.K., & Verboord, M. (1999). Cultural classifications under discussion. Latent class analysis of highbrow and lowbrow reading. Poetics: Journal of Empirical Research on Culture, the Media and the Arts, 26(5-6), 349-366.
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  • Vermunt, J.K. (1999). A general non-parametric approach to the analysis of ordinal categorical data. Sociological Methodology, 29, 197-221.
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  • Vermunt, J.K., Langeheine, R., & Böckenholt, U. (1999). Discrete-time discrete-state latent Markov models with time-constant and time-varying covariates. Journal of Educational and Behavioral Statistics, 24, 178-205.
    (Free access)
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  • Vermunt, J.K. (1999). On the use of order-restricted latent class models for defining and testing non-parametric IRT model. Abstract. Method of Psychlogical Research on line, 4, 71.
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• 1997
  • Rees, C.J. van, & Vermunt, J.K. (1997). Event history analysis of author's reputations: The effects of critic's attention on debutants' careers. Sociological Abstracts,(9707552), 1757.
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  • Rees, C.J. van, Vermunt, J.K., & Verboord, M. (1997). Classifications under discussion: Latent class analysis of time budget dat on reading behavior. Sociological Abstracts, Suppl. 181(August), 110-111.
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  • Vermunt, J.K. (1997). Log-linear event history analysis: A general approach with missing data, unobserved heterogenity, and latent variables. Dissertation abstracts international, 58(1, spring), 69-C-70-C.
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  • Vermunt, J.K. (1997). Log-linear event history analysis: A general approach with missing data, unobserved heterogenity, and latent variables. Sociological Abstracts,(9708964), 2313.
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• 1996
  • Rees, C.J. van, & Vermunt, J.K. (1996). Event history analysis of author's reputations. Poetics: Journal of Empirical Research on Culture, the Media and the Arts, 23(5), 317-333.
    (Free access)
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• 1995
  • Vermunt, J.K., & Georg, W. (1995). Die Analyse kategorialer Panel-Daten mit Hilfe von log-linearen Kausalmodellen mit latenten Variablen: eine Anwendung am Beispiel der Skala 'Jugendzentrismus'. ZA-Information, 36(1), 61-90.
    (Free access)
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• 1993
  • Vermunt, J.K. (1993). De geboorte van het eerste kind: Uitstel of afstel? Gezin, 5(1), 31-52.
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• 1992
  • Vermunt, J.K. (1992). Geboorte: Ontwikkelingen in het verleden en toekomstverwachtingen. Maandstatistiek van de Bevolking, 40(1), 18-28.
    (Free access)
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• 1991
  • Latten, J.J., & Vermunt, J.K. (1991). Jong en alleenstaand in de jaren '80 en '90. Maandstatistiek van de Bevolking, 39(4), 27-39.
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  • Vermunt, J.K. (1991). Leefstijl en demografisch gedrag: Een toepassing van latente-klasse-analyse. Maandstatistiek van de Bevolking, 39(11), 13-25.
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  • Vermunt, J.K. (1991). Een multivariaat model voor de geboorte van het eerste kind. Maandstatistiek van de Bevolking, 39(5), 22-33.
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• 1990
  • Vermunt, J.K. (1990). Kleinere verschillen in huishoudensverdeling tussen gemeenten verwacht. Maandstatistiek van de Bevolking, 38(11), 14-16.
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  • Vermunt, J.K. (1990). Het aantal jonge moeders neemt weer toe. Maandstatistiek van de Bevolking, 38(10), 8.
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Books

• 2008
  • Vermunt, J.K., & Magidson, J. (2008). LG-Syntax user's guide: Manual for Latent GOLD 4.5 Syntax module. Belmont: Statistical Innovations Inc.
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• 2005
  • Vermunt, J.K., & Magidson, J. (2005). Latent Gold 4.0 User's Guide. Belmont, MA: Statistical Innovations Inc.
    (Free access)
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• 2003
  • Vermunt, J.K., & Magidson, J. (2003). Addendum to Latent GOLD User's Guide: Upgrade for Version 3.0. Boston: Statistical Innovations Inc.
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  • Vermunt, J.K., & Magidson, J. (2003). Latent GOLD Choice User's Guide. Boston: Statistical Innovations Inc.
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• 2000
  • Vermunt, J.K., & Magidson, J. (2000). Latent Gold: User's Manual. Boston: Statistical Innovations Inc.
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• 1997
  • Vermunt, J.K. (1997). Log-linear Models for Event Histories. London: Sage.
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• 1996
  • Vermunt, J.K. (1996). Loglinear Event History Analysis.
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  • Vermunt, J.K. (1996). Log-linear event history analysis: A general approach with missing data, latent variables, and unobserved heterogeneity. Tilburg: Tilburg University Press. (Series on work and organization).
    (Free access)
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• 1995/96
  • Vermunt, J.K., & Georg, W. (1995/96). Analyzing categorical panel data by means of causal log-linear models with latent variables: An application to the change in youth-centrism. [S.l.]: [s.n.].
    (Free access)
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Book chapters

• 2010
  • Bacher, J., & Vermunt, J.K. (2010). Analyse latenter Klassen. In C. Wolf & H. Hennig (Eds.), Handbuch der sozialwissenschaftlichen Datenanalyse (pp. 553-574). Wiesbaden: VS Verlag.
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  • Dias, J.G., Vermunt, J.K., & Ramos, S. (2010). Mixture hidden Markov models in finance research. In A. Fink, B. Lausen, W. Seidel, & A. Ultsch (Eds.), Advances in data analysis, data handling and business intelligence (pp. 451-459). Berlin-Heidelberg: Springer.
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  • Kankaras, M., Moors, G.B.D., & Vermunt, J.K. (2010). Testing for measurement invariance with latent class analysis. In E. Davidov, P. Schmidt, & J. Billiet (Eds.), Cross-cultural analysis. Methods and applications (pp. 359-384). Taylor & Francis Group: Routledge.
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  • Lukociene, O., & Vermunt, J.K. (2010). Determining the number of components in mixture models for hierarchical data. In A. Fink, B. Lausen, W. Seidel, & A. Ultsch (Eds.), Advances in data analysis, data handling and business intelligence (pp. 241-249). Berlin-Heidelberg: Springer.
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  • Vermunt, J.K. (2010). Longitudinal research using mixture models. In K. van Montfort, J.H.L. Oud, & A. Satorra (Eds.), Longitudinal Research with Latent Variables (pp. 119-152). Heidelberg: Springer.
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  • Vermunt, J.K. (2010). Latent Class Models. In P. Peterson, E. Baker, & B. McGaw (Eds.), International encyclopedia of education (pp. 238-244). Oxford: Elsevier. ().
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  • Vermunt, J.K. (2010). Mixture models for multilevel data sets. In J. Hox & J.K. Roberts (Eds.), Handbook of advanced multilevel analysis (pp. 59-81). New York: Routledge.
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• 2009
  • Magidson, J., Vermunt, J.K., & Tran, B. (2009). Using a mixture latent Markov model to analyze longitudinal U.S. employment data involving measurement error. In K. Shigemasu, A. Okada, T. Imaizumi, & T. Hoshino (Eds.), New trends in psychometrics (pp. 235-242). Tokyo: Universal Academy Press.
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  • Vermunt, J.K. (2009). Event history analysis. In R. Millsap & A. Maydeu-Olivares (Eds.), Handbook of quantitative methods in psychology (pp. 658-674). Thousand Oaks: Sage.
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• 2008
  • Vermunt, J.K., Tran, B., & Magidson, J. (2008). Latent class models in longitudinal research. In S. Menard (Ed.), Handbook of longitudinal research: Design, measurement, and analysis (pp. 373-385). Burlington: Elsevier.
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• 2007
  • Notelaers, G., Witte, H. de, Veldhoven, M.J.P.M. van, & Vermunt, J.K. (2007). L’inventaire condensé de suivi des risques psychosoiaux: Combiner la modélisation par classe latente et la modélasition par équation structurelle pour suivre et évaluer les programmes d’intervention. In J. Pelletier (Ed.), Intervenir en enterprise: Pratiques actuelles (pp. 169-180). Lyon: ANACT.
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  • Notelaers, G., Witte, H. de, Veldhoven, M.J.P.M. van, & Vermunt, J.K. (2007). The short inventory to monitor psychosocial hazards: Combining latent class modeling and structural equation modeling to monitor and to evaluate intervention programs. In J. Pelletier (Ed.), Intervention practices in firms (pp. 161-172). Lyon: ANACT.
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  • Vermunt, J.K., Tran, B., & Magidson, J. (2007). Latent class models in longitudinal research. In S. Menard (Ed.), Handbook of Longitudinal Research: Design, Measurement, and Analysis (pp. 373-385). Burlington: Elsevier.
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  • Vermunt, J.K. (2007). Growth models for categorical response variables: standard, latent-class, and hybrid approaches. In K. van Montfort, J. Oud, & A. Satorra (Eds.), Longitudinal models in the behavioral and related science (pp. 139-158). Mahwah: NJ: Erlbaum.
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• 2006
  • Dias, J.G., & Vermunt, J.K. (2006). Bootstrap methods for measuring classification uncertainty in latent class analysis. In A. Rizzi & M Vichi (Eds.), Proceedings in computational statistics (pp. 31-41). Heidelberg: Springer.
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  • Magidson, J., & Vermunt, J.K. (2006). Use of latent class regression models within a random intercept to remove overall response level effects in ratings data. In A. Rizzi & M. Vechi (Eds.), Proceedings in computational statistics (pp. 351-360). Heidelberg: Springer.
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  • Vermunt, J.K., Bijmolt, T.H.A., & Paas, L.J. (2006). Multi-niveau latent klasse analyse: Met een toepassing bij het simultaan clusteren van landen en consumenten. In A.E. Bronner, P. Dekker, E. de Leeuw, L.J. Paas, K. de Ruyter, A. Smidts, & J.W. Wieringa (Eds.), Ontwikkelingen in marktonderzoek. Jaarboek 2006 (pp. 161-173). Haarlem: Spaar en Hout.
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• 2005
  • Magidson, J., & Vermunt, J.K. (2005). An extension of the CHAID tree-based segmentation algorithm to multiple dependent variables. In C. Weihs & W. Gaul (Eds.), Classification: The Ubiquitous Challenge. (pp. 204-247). Heidelberg: Springer.
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  • Vermunt, J.K. (2005). Log-linear modelling. In B. Everit & D.C. Howell (Eds.), Encyclopedia of Behavioral Statistics (pp. 1082-1093). Chichester, UK: John Wiley & Sons, Inc.
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  • Vermunt, J.K. (2005). Latent variable. In B. Everitt & D. Howell (Eds.), Encyclopedia of Statistics in Behavioral Science (pp. 1036-1037). Chichester, UK: Wiley.
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  • Vermunt, J.K., & Magidson, J. (2005). Hierarchical mixture models for nested data structures. In C. Weihs & W. Gaul (Eds.), Classification: The Ubiquitous Challenge (pp. 176-183). Heidelberg: Springer.
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  • Vermunt, J.K., & Magidson, J. (2005). Factor Analysis with Categorical Indicators: A Comparison Between Traditional and Latent Class Approaches. In A. van der Ark, M.A. Croon, & K. Sijtsma (Eds.), New Developments in Categorical data Analysis for the Social and Behavioral Sciences (pp. 41-62). Mahwah: Erlbaum.
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  • Vermunt, J.K., & Moors, G.B.D. (2005). Event history analysis. In B. Everitt & D. Howell (Eds.), Encyclopedia of Statistics in Behavioral science (pp. 568-575). Chichester, UK: Wiley.
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  • Vermunt, J.K. (2005). Log-Linear models. In B. Everitt & D. Howell (Eds.), Encyclopedia of Statistics in Behavioral Science (pp. 1082-1093). Chichester, UK: Wiley.
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  • Vermunt, J.K., & Magidson, J. (2005). Structural equation models: Mixture models. In B. Everitt & D. Howell (Eds.), Encyclopedia of Statistics in Behavioral Science (pp. 1922-1927). Chichester, UK: Wiley.
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• 2004
  • Magidson, J., & Vermunt, J.K. (2004). Latent class models. In D. Kaplan (Ed.), The Sage handbook of quantitative methodology for the social sciences (pp. 175-198). Thousands Oakes: Sage.
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  • Paas, L.J., Bijmolt, T.H.A., & Vermunt, J.K. (2004). Extending dynamic segmentation with lead generation: A latent Markov analysis of financial product portfolios. Proceedings of EMAC 2004. University of Murcia.
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  • Vermunt, J.K. (2004). Mixture model. In M.S. Lewis-Beck, A. Bryman, & T.F. Liao (Eds.), The Sage encyclopedia of social sciences research methods (p. 653). Thousand Oakes: Sage.
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  • Vermunt, J.K. (2004). Latent profile model. In M.S. Lewis-Beck, A. Bryman, & T.F. Liao (Eds.), The Sage encyclopedia of social sciences research methods (pp. 554-555). Thousand Oakes: Sage.
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  • Vermunt, J.K., & Hagenaars, J.A.P. (2004). Ordinal Longitudinal Analysis. In R.C. Hauspi, N. Cameron, & L. Molinari (Eds.), Methods in human growth research (pp. 374-393). Cambridge: Cambridge University Press.
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  • Vermunt, J.K., & Magidson, J. (2004). Non-parametric random-effects model. In M. Lewis-Beck, A. Bryman, & T.F. Liao (Eds.), The Sage encyclopedia of social sciences research methods (pp. 732-733). Thousand Oakes: Sage.
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  • Vermunt, J.K. (2004). Mover-stayer model. In M.S. Lewis-Beck, A. Bryman, & T.F. Liao (Eds.), The Sage encyclopedia of social sciences research methods (pp. 665-666). Thousand Oakes: Sage.
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  • Vermunt, J.K. (2004). Latent Markov model. In M.S. Lewis-Beck, A. Bryman, & T.F. Liao (Eds.), The Sage encyclopedia of social sciences research methods (pp. 553-554). Thousand Oakes: Sage.
    (Free access)
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  • Vermunt, J.K., & Magidson, J. (2004). Latent variable. In M. Lewis-Beck, A. Bryman, & T.F. Liao (Eds.), The Sage encyclopedia of social sciences research methods (pp. 555-556). Thousand Oakes: Sage.
    (Free access)
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  • Vermunt, J.K., & Magidson, J. (2004). Local independence. In M. Lewis-Beck, A. Bryman, & T.F. Liao (Eds.), The Sage encyclopedia of social sciences research methods (pp. 580-581). Thousand Oakes: Sage.
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  • Vermunt, J.K., & Magidson, J. (2004). Latent class analysis. In M. Lewis-Beck, A. Bryman, & T.F. Liao (Eds.), The Sage encyclopedia of social sciences research methods (pp. 549-553). Thousand Oakes: Sage.
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• 2003
  • Abswoude, A.A.H. van, & Vermunt, J.K. (2003). Some Alternative Clustering Methods for Mokken Scale Analysis. In H. Yanai, A. Okada, K. Shigemasu, Y. Kano, & J.J. Meulman (Eds.), New Developments in Psychometrics. (pp. 623-630). Tokyo: Springer.
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  • Kampen, J.K., Maddens, B., & Vermunt, J.K. (2003). Trust and satisfaction: A Case study of the Micro-Performance. In A. Salminen (Ed.), Governing Networks (pp. 319-326). Amsterdam: IOS Press.
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  • Magidson, J., & Vermunt, J.K. (2003). Comparing Latent Class Factor Analysis with the Traditional Approach in Datamining. In H. Bozdogan (Ed.), Statistical data mining and knowledge discovery. (pp. 373-383). Boca Raton: Chapman & Hall/CRC.
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  • Notelaers, G., Vermunt, J.K., Veldhoven, M.J.P.M. van, & Witte, H. de (2003). Psychosocial hazards and risk analysis: Estimating exposure rates to psychosocial hazards with Latent Class Analysis. In S. Giga, P. Flaxman, J. Houdmont, & M. Ertel (Eds.), Productivity, Flexibility & Health. (pp. 181-186). Nottingham: I-WHO.
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• 2002
  • Vermunt, J.K. (2002). A general latent class approach to unobserved heterogeneity in the analysis of event history data. In J. Hagenaars & A. McCutcheon (Eds.), Applied latent class analysis (pp. 383-407). Cambridge: Cambridge University Press.
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  • Vermunt, J.K., & Magidson, J. (2002). Latent class cluster analysis. In J. Hagenaars & A. McCutcheon (Eds.), Applied latent class analysis (pp. 89-106). Cambridge: Cambridge University Press.
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• 2001
  • Vermunt, J.K. (2001). Event history analysis, selectivity. In N.J. Smetser & P.B. Baltes (Eds.), International Encyclopedia of the Social and Behavioral Sciences (pp. 7956-7962). Oxford: Elsevier. ().
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• 1997
  • Dijk, N. van, & Vermunt, J.K. (1997). Literary careers and critical reputation: A longitudinal study. In S. Tötösy de Zepetnek & I. Sywenky (Eds.), The Systemic and Empirical Approach to Literature and Culture as Theory and Application (pp. 60-71). Alberta and Siegen: University of Alberta: RICL-CCS and Siegen University: LUMIS. ().
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  • Vermunt, J.K. (1997). Log-linear models for event histories. Advanced quantitative techniques in the sociale sciences, 8. (pp. 348). Thousand Oakes: Sage Publications.
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• 1996
  • Vermunt, J.K. (1996). Causal log-linear modeling with latent variables and missing data. In U. Engel & J. Reinecke (Eds.), Analysis of change: Advanced techniques in panel data analysis (pp. 35-60). Berlin/New York: Walter de Gruyter.
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• 1991
  • Beer, J. de, Vermunt, J.K., & Hoorn, W. (1991). Demographic changes in the Netherlands with special reference to the relationship between female labour supply and fertility. J.J.Siegers and F. Tazelaar (eds.). The Dutch labour market in 2000: Demographic changes & policy implications (pp. 21-52). Groningen: Wolters-Noordhof.
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  • Vermunt, J.K. (1991). Een model ter bepaling van de cohortcomponent in de sterfte. In L.Th. van Leeuwen & H.G.J.M. Cruijsen (Eds.), Sterfte en gezondheid, nu en straks (Inleidingen studiedag Nederlandse Vereniging voor Demografie, gehouden op 5 oktober 1990) (pp. 25-46). 's-Gravenhage: Nederlandse Vereniging voor Demografie.
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Working and/or discussion papers

• 2009
  • Manzoni, A., Vermunt, J.K., Luijkx, R., & Muffels, R.J.A. (2009). Memory bias in retrospectively collected employment careers: A model based approach to correct for measurement error.
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• 2004
  • Paas, L.J., Bijmolt, T.H.A., & Vermunt, J.K. (2004). Extending dynamic segmentation with lead generation: A latent class Markov analysis of financial product portfolios. (CentER Discussion Paper, 2004-1, 2004-001) pp. 1-46.
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  • Pavlopoulos, D., Muffels, R.J.A., & Vermunt, J.K. (2004). Wage Mobility in Europe. A Comparative Analysis Using restricted Multinomial Logit Regression.
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• 2003
  • Bijmolt, T.H.A., Paas, L.J., & Vermunt, J.K. (2003). Country and Consumer Segmentation: Multi-Level Latent Class Analysis of Financial Product Ownership. (CentER Discussion Paper, 2003-75, 2003-075) pp. 1-33.
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• 2002
  • Vermunt, J.K., Abswoude, A. van, Hemker, B., Ark, A. van der, & , (2002). Mokken scale analysis by hierarchical clustering procedures. () Arnhem: CITO.
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• 1998
  • Vossen, A.P.J.G., & Vermunt, J.K. (1998). Preferences regarding the partner's age. (WORC Paper, 98.09.007) pp. 1-42.
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• 1995
  • Vermunt, J.K., & Georg, W. (1995). Analyzing categorical panel data by means of causal log-linear models with latent variables: An application to the change in youth-centrism. (WORC Paper / Work and Organization Research Centre (WORC), 95.06.012/7)
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  • Vermunt, J.K., Langeheine, R., & Bockenholt, U. (1995). Discrete-time discrete-state latent Markov models with time-constant and time-varying covariates. (WORC Paper / Work and Organization Research Centre (WORC), 95.06.013/7)
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• 1994
  • Vermunt, J.K. (1994). Causal log-linear modeling with missing data. (WORC Paper / Work and Organization Research Centre (WORC), 94.05.021/7)
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• 1993
  • Vermunt, J.K. (1993). lEM: Log-linear and event history analysis with missing data using the EM algorithm. (WORC Paper / Work and Organization Research Centre (WORC), 93.09.015/7)
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Reports (government and other final research reports)

• 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.
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Conference papers

• 2009
  • Magidson, J., Thomas, D., & Vermunt, J.K. (2009). A new model for the fusion of maxdiff scaling and ratings data. 2009 Sawtooth Software Conference Proceedings (pp. 83-103).
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• 2007
  • Lukociene, O., & Vermunt, J.K. (2007). A comparison of parametric and nonparametric approaches for two-level random coefficient model. ISI 2007, Lisboa: International Statistical Institute. (Bulletin of the International Statistical Institute).
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  • Magidson, J., & Vermunt, J.K. (2007). Use of a random intercept in latent class regression models to remove response. International Statistics Institue (ISI) 56th Session, Lisboa: ISI. (Bulletin of the International Statistical Institute).
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  • Vermunt, J.K. (2007). Multilevel mixture item response theory models: An application in education testing. International Statistics Institue (ISI) 56th Session, Lisboa: ISI. (Bulletin of the International Statistical Institute).
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• 2005
  • Notelaers, G., Vermunt, J.K., Witte, H. de, Einarsen, S., & Veldhoven, M.J.P.M. van (2005). Measuring psychosocial work hazards in a multilingual environment. Bullying at work: A cross-cultural perspective from Belgium. Proceedings of the 6th annaul conference of the European Academy of Occupational Health Psychology (pp. 335-343).
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• 2004
  • Vermunt, J.K., & Magidson, J. (2004). Comments on 'Current Issues and a 'Wish List' for Conjoint Analysis'. Applied Stochastic Models in Business and Industry,
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• 2003
  • Magidson, J., Eagle, T., & Vermunt, J.K. (2003). New developments in latent class choice modeling. Sawtooth Software Conference Proceedings,
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  • Magidson, J., Eagle, T., & Vermunt, J.K. (2003). New developments in latent class choice models. Proceedings Sawtooth Software Conference 2003 (pp. 89-112).
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• 2000
  • Aris, E., Hagenaars, J.A.P., Croon, M.A., & Vermunt, J.K. (2000). The Use of Randomization for Logit and Logistic Models. In J. Blasius, J. Hox, E. de Leuw, & P. Smidt (Eds.), Proceedings of the Fifth International Conference on Social Science Methodology, Cologne: TT Publications.
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  • Galindo-Garre, F., Vermunt, J.K., & Ato-Garcia, M. (2000). Bayesian approaches to the problem of sparse tables in log-linear modeling. In J. Blasius, J. Hox, E. de Leeuw, & P. Smidt (Eds.), Proceedings of the Fifth International Conference in Social Science Methodology. CD-ROM (pp. 1-16). Cologne.
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  • Magidson, J., & Vermunt, J.K. (2000). Bi-plots and related graphical displays based on latent class factor and cluster models. In J. Blasius, J. Hox, E. de Leeuw, & P. Smidt (Eds.), Proceedings of the Fifth International Conference on Social Science Methodology. CD-ROM (pp. 1-25). Cologne.
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  • Vermunt, J.K., & Magidson, J. (2000). Graphical displays for latent class clusters and latent class factor models. In W. Jansen & J.G. Bethlehem (Eds.), Proceedings in Computational Statistics 2000 (pp. 121-122). Voorburg: Statistics Netherlands.
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• 1999
  • Vermunt, J.K. (1999). A general non-parametric approach to the analysis of ordinal categorical data. In M. Sobel & M. Becker (Eds.), Sociological Methodology (pp. 197-221). Boston: Blackwell Publishers. (Sociological Methodology, 29).
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Other publications

• 2005
  • Vermunt, J.K. (2005). Book review of "Analyzing categorical data". (Review of the book Analyzing Categorical Data, Jeffrey S.Simonoff, 2003, 0-387-00749-0). Statistics in Medicine, 24(8), 1289-1290.
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