Homepage of Jeroen K. Vermunt

Vermunt, J.K. and Magidson, J. (2003). Addendum to Latent GOLD User's Guide: Upgrade for Version 3.0. 44 pages. Boston: Statistical Innovations Inc. (more info)

Vermunt, J.K. and Magidson, J. (2003). Latent GOLD Choice User's Guide.. 99 pages. Boston: Statistical Innovations Inc. (more info)

Vermunt, J. K. and Magidson, J. (2005), Technical Guide for Latent GOLD 4.0: Basic and Advanced, Belmont Massachussetts: Statistical Innovations Inc. (see here).

Vermunt, J. K. and Magidson, J. (2005), Latent GOLD 4.0 User's Guide, Belmont Massachussetts: Statistical Innovations Inc. (see here).

Vermunt, J. K. and Magidson, J. (2005), Latent GOLD 4.0 Choice User's Guide, Belmont Massachussetts: Statistical Innovations Inc. (see here).

Vermunt, J. K. and Magidson, J. (2005), Technical Guide for Latent GOLD Choice 4.0: Basic and Advanced, Belmont Massachussetts: Statistical Innovations Inc. (see here).

Vermunt, J. K. and Magidson, J. (2008), LG-Syntax User�s Guide: Manual for Latent GOLD 4.5 Syntax Module, Belmont, MA: Statistical Innovations Inc. (see here).

Vermunt, J.K. (2004). Video of the Workshop "Latent Class Regression Analysis" at the SMABS 2004 Conference in Jena (see here). You need to have Real Player installed (can be obtained here), as well as the handouts printed (pdf).

UCLA Academic Teaching Service (2005). Movies on the Latent GOLD tutorials. (see here).

Books

Vermunt, J.K. (1996). Log-linear event history analysis: a general approach with missing data, unobserved heterogeneity, and latent variables, 350 pages, Tilburg: Tilburg University Press. Phd. thesis. (pdf)

Vermunt, J.K. (1997). Log-linear models for event histories. Advanced Quantitative Techniques in the Social Sciences Series, vol 8., 348 pages, Thousand Oakes: Sage Publications.

Articles and Commentaries in ISI Journals

Rees, K., and Vermunt, J.K. (1996). Event history analysis of author's reputations. Poetics, 23, 317-333. (pdf)

Pieters, R., Baumgarter H., Vermunt, J., and Bijmolt, T. (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. (pdf)

Rees, K., Vermunt, J.K., and Verboord, M. (1999). Cultural classifications under discussion. Latent class analysis of highbrow and lowbrow reading. Poetics 26/5‑6: 349‑365. (pdf)

Vermunt, J.K. (1999). A general non‑parametric approach to the analysis of ordinal categorical data. Sociological Methodology, 29, 197-221. (pdf)

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. (pdf)

Van den Oord, E., and 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. (pdf)

Anderson, C., and Vermunt, J.K. (2000). Log-multiplicative association models as latent variable models for nominal and/or ordinal data. Sociological Methodology, 30, 81-122. (pdf)

Bassi, F., Hagenaars, J.A., Croon, M., and Vermunt, J.K. (2000). Estimating true changes when categorical panel data are affected by uncorrelated and correlated classification errors. Sociological Methods and Research, 29, 230-268. (pdf)

Vossen, A., and Vermunt, J.K. (2000) Young adult's preferences regarding the partner's age, and the importance of age as a partner choice determinant. Genus, 56, 177-201.

Van Poppel, F., Liefbroer, A.C., Vermunt, J.K., and Smeets, W. (2001). Love, Necessity and opportunity: Changing patterns of marital age homogamy in the Netherlands, 1850-1993. Population Studies, 55, 1-13. (pdf)

Vermunt, J.K. (2001) The use restricted latent class models for defining and testing nonparametric and parametric IRT models. Applied Psychological Measurement, 25, 283-294. (pdf)

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, 170-196. (pdf)

Magidson, J., and Vermunt, J.K. (2001) Latent class factor and cluster models, bi-plots and related graphical displays. Sociological Methodology, 31, 223-264. (pdf)

Vermunt, J.K. (2002). Comments on “Latent class analysis of complex sample survey data”. Journal of the American Statistical Association, 97, 736-737. (pdf)

Brouhns, N., Denuit, M. and Vermunt, J.K. (2002). A Poisson log-bilinear approach to the construction of projected lifetables. Insurance: Mathematics & Economics, 31, 373-393. (pdf)

Vermunt, J.K, Magidson, J. (2003). Latent class models for classification. Computational Statistics and Data Analysis, 41,3-4, 531-537. (pdf)

Vermunt, J.K. (2003) Applications of latent class analysis in social science research. Lecture Notes in Artificial Intelligence, 2711, 22-36 (pdf)

Vermunt, J.K.(2003) Multilevel latent class models. Sociological Methodology, 33, 213-239. (pdf)

Vermunt, J.K. (2004) An EM algorithm for the estimation of parametric and nonparametric hierarchical nonlinear models. Statistica Neerlandica, 58, 220- 233. (pdf)

Maas, C,J.M., and Vermunt, J.K. (2004) ). Editorial introduction to special issue on "Multilevel and other types of random coefficients models". Statistica Neerlandica, 58, 125-126. (pdf)

Van Abswoude, A. Vermunt, J.K., Hemker, B., Van der Ark, A. (2004). Mokken scale analysis using hierarchical clustering procedures. Applied Psychological Measurement, 28, 332-354 (pdf)

Galindo-Garre, F., Vermunt, J.K. (2004). The order-restricted association model: Two estimation algorithms and issues in testing. Psychometrika, 69, 641-654. (pdf)

Galindo-Garre, F., Vermunt, J.K. & W. Bergsma (2004) Bayesian posterior estimation of logit parameters with small samples. Sociological Methods and Research, 33, 88-117. (pdf)

Bijmolt, T.H., 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, 323-340. (pdf)

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, 67-86. (pdf)

Magidson, J. and Vermunt, J.K. (2005). Comment on “Current Issues and a “Wish List” for Conjoint Analysis”. Applied Stochastic Models in Business and Industry, 21, 327-328. (pdf)

Vermunt J.K (2005) Mixed-effects logistic regression models for indirectly observed outcome variables. Multivariate Behavioral Research,40, 281-301. (pdf)

Vermunt , J.K. (2005). Book review of "Analyzing Categorical Data" by Jeffrey S. Simonoff. Statistics in Medicine, 24, 1289-1290. (pdf)

Galindo-Garre, F., and Vermunt, J.K, (2005). Testing log-linear mModels with inequality constraints: A comparison of asymptotic, bootstrap, and posterior predictive p values. Statistica Neerlandica, 59, 82-94. (pdf)

Notelaers, G., Einarsen, S., De Witte, H., and Vermunt, J.K. (2006). Measuring exposure to bullying at work: The validity and advantages of the latent class cluster approach. Work & Stress, 20, 288-301. (pdf)

van Mierlo, H. Rutte, C.G., Vermunt, J.K., Kompier, M.A.J., and 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, 281-299. (pdf)

Lee, H.-K., Baillargeon, R.H., Vermunt, J.K., Wu, H.-X., and 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, 26-37. (pdf)

Kalmijn, M., and Vermunt, J.K. (2007). Homogeneity of social networks by age and marital status: A multilevel analysis of ego-centered networks. Social Networks, 29, 25-43. (pdf)

Bouwmeester, S., Vermunt, J.K., and Sijtsma, K. (2007). Development and individual differences in transitive reasoning: a fuzzy trace theory approach. Developmental Review, 27, 41-74. (pdf)

Paas, L.J., Bijmolt, T.H, and Vermunt, J.K. (2007). Acquisition patterns of financial products: A longitudinal investigation. Journal of Economic Psychology, 28, 229-241. (pdf)

Van Ginkel, J.R., Van der Ark, L.A., Sijtsma, K., and 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, 4013-4027. (pdf)

Vermunt, J.K. (2007). A hierarchical mixture model for clustering three-way data sets. Computational Statistics and Data Analysis, 51, 5368-5376. (pdf)

Infant-Rivas, C., Vermunt, J.K., and Weinberg, C.R. (2007). Excess transmission of the NQO1 C609T polymorphism in families of children with acute lymphoblastic leukemia. American Journal of Epidemiology, 165, 1248-1254. (pdf)

Van Abswoude, A., Vermunt, J.K., and Hemker,N. (2007). Assessing dimensionality by maximizing H coefficient based objective functions. Applied Psychological Measurement, 31, 308-330. ( pdf)

Vermunt, J.K., and Magidson, J. (2007). Latent class analysis with sampling weights: A maximum likelihood approach. Sociological Methods and Research, 36, 87-111. (pdf)

Boks, M.P.M., Leask, S., Vermunt J.K., and Kahn, R.S. (2007). The structure of psychosis revisited: The role of mood symptoms. Schizophrenia Research , 93, 178-185. (pdf)

Anderson, C.J., 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. (pdf)

Paas, L.J., Vermunt, J.K., and Bijmolt, T.H, (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 (Statistics in Society), 170 (4), 955-974 . (pdf)

van Mierlo, H. Rutte, C.G., Vermunt, J.K., Kompier, M.A.J., and Doorewaard, J.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, 647-664. (pdf)

Moors, G., and Vermunt, J.K. (2007) Heterogeneity in postmaterialist value priorities. Evidence from a latent class discrete choice approach. European Sociological Review, 23, 631-648. (pdf)

Chen, F., Mackey, A.J., Vermunt, J.K., and Roos, D.S. (2007). Assessing performance of orthology detection strategies applied to eukaryotic genomes. PLoS ONE, 2(4): e383. doi:10.1371/journal.pone.0000383. (pdf)

Vermunt, J.K. (2008). Latent class and finite mixture models for multilevel data sets. Statistical Methods in Medical Research, 17, 33-51. (pdf)

Van Hest, N.A.H., Hoebe, C.J.P.A., Den Boer, J.W., Vermunt, J.K., Ijzerman, E.P.F., Boersman, W.G., and 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, 540-550. (pdf)

de Vries, H., van 't Riet, J., Spigt, M., Metsemakers, J., van den Akker, M., Vermunt, J.K., and Kremers, S. (2008). Clusters of lifestyle behaviors: Results from the Dutch SMILE study. Preventive Medicine, 46, 203�208. (pdf)

Dias, J.G., and Vermunt, J.K. (2008). A bootstrap-based aggregate classifier for model-based clustering. Computational Statistics, 23, 643�659. (pdf)

Vermunt, J.K., Van Ginkel, J.R., Van der Ark, and L.A., Sijtsma K. (2008). Multiple imputation of categorical data using latent class analysis. Sociological Methodology, 33, 369-297. (pdf)

van Mierlo, H., Vermunt, J.K., and Rutte, C.G. (2009). Composing group-level constructs from individual-level survey data. Organizational Research Methods, 12(2), 368-392. (pdf)

Leask, S.J., Vermunt, J.K., Done, D.J., Crowd, T.J., Blows, M., and Boks, M.P. (2009). Beyond symptom dimensions: Schizophrenia risk factors for patient groups derived by latent class analysis. Schizophrenia Research, 115, 346-350. (pdf)

Pavlopoulos, D., Muffels, R,, and Vermunt, J.K, (2010). Wage mobility in Europe: A comparative analysis using restricted multinomial logit regression. Quality and Quantity, 44, 115-129. (pdf)

Palardy, G., and Vermunt, J.K.. (in press). Multilevel growth mixture models for classifying group-level observations. Journal of Educational and Behavioral Statistics,.

Tay, L., Newman, D.A., and Vermunt, J.K. (in press). On the use of the mixed-measurement item response theory with covariates (MM-IRT-C) to ascertain observed and unobserved measurement equivalence. Organizational Research Methods ,.

Articles and Commentaries in Other Journals

Vermunt, J.K., and 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, 61‑90.(pdf)

Vermunt, J.K. and Van Dijk. L. (2001). A nonparametric random-coefficients approach: the latent class regression model. Multilevel Modelling Newsletter, 13, 6-13. (pdf)

Magidson, J. and Vermunt, J.K. (2002). Latent class models for clustering: A comparison with K-means. Canadian Journal of Marketing Research, 20, 36-43. (pdf)

Vermunt, J.K., and Georg, W. (2002) Longitudinal data analysis using log-linear path models with latent variables. Metodología de las Ciencias del Comportamiento, 4, 37-53. (pdf)

Galindo-Garre, F., Vermunt, J.K. and 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, 325-337. (pdf)

Vermunt J.K (2002). An Expectation-Maximization algorithm for generalised linear three-level models. Multilevel Modelling Newsletter, 14, 3-10. (pdf)

Magidson, J. and Vermunt, J.K. (2002). Latent class modeling as a probabilistic extension of K-means clustering. Quirk’s Marketing Research Review, March 2002, 20 & 77-80. (pdf)

Brouhns, N., Denuit, M., & Vermunt, J.K. (2002). Measuring the longevity risk in mortality projections. Bulletin of the Swiss Association of Actuaries, 105-130. (pdf)

Vermunt, J.K. (2004). Comment on “An analysis of classification error for the revised current population survey employment questions”. Survey Methodology, 30, 141-144. (pdf)

Vermunt, J.K. and Anderson, C.A (2005): Maximum likelihood joint correspondence analysis. Methodology, 1, 18-26. (pdf)

Galindo-Garre, F., and Vermunt, J.K, (2006). Avoiding boundary estimates in latent class analysis by Bayesian posterior mode estimation. Behaviormetrika, 33, 43-59. (pdf)

Vermunt, J.K, and Kalmijn., M. (2006). Random-effects models for personal networks: An application to marital status homogeneity. Methodology, 2, 34-41. (pdf)

Van Duijn, M.A.J., and Vermunt, J.K, (2006). What is special about social network analysis? Methodology, 2, 2-6. (pdf)

Vermunt, J.K, and Van Duijn, M.A.J., (2006). Special issue "Social network analysis". Methodology, 2, 1-1. (pdf)

Pavlopoulos, D. Fouarge, D., Muffels, R., and 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. (pdf)

Dias, J.G., and Vermunt, J.K. (2007). Latent class modeling of website users' search patterns: Implications for online market segmentation. Journal of Retailing and Consumer Services, 14 , 359-368. (pdf)

Notelaers, G., De Witte, H., M. Van Veldhoven, Vermunt, J.K. (2007). Construction and validation of the short inventory to monitor psychological hazards. Medecine du Travail & Ergonomie (Arbeidsgezondheidszorg & Ergonomie) , 44. 11-17

Vermunt, J.K. (2008). Multilevel latent variable modeling: An application in educational testing. Austrian Journal of Statistics, 37 (3&4), 285�299. (pdf)

Pavlopoulos, D., Muffels, R., and Vermunt, J.K. (2009). Training and low-pay mobility. The case of the UK, the Netherlands and Germany. Labour, 21, 37-59. (pdf)

Van Ginkel, J. R., Sijtsma, K., Van der Ark, L. A., and Vermunt, J. K. (2010). Incidence of missing item scores in personality measurement, and simple item-score imputation. Methodology, 6, 17-30. (pdf)

Van der Ark, L.A., and Vermunt, J.K. (2010). New developments in missing data analysis. Methodology, 6,1-2. (pdf)

Book Chapters

De Beer, J., Vermunt, J.K., and Hoorn, W. van (1991). Demographic changes in the Netherlands with special reference to the relationship between female labour supply and fertility. In: J.J.Siegers and F. Tazelaar (eds.), The Dutch labour market in 2000, demographic changes & policy implications, 21‑52. Groningen: Wolters-Noordhof.

Vermunt, J.K. (1996). Causal log-linear modelling with latent variables and missing data. In: U. Engel and J. Reinecke (eds.), Analysis of change: advanced techniques in panel data analysis, 35-60. Berlin/New York: Walter de Gruyter. (pdf)

Van Dijk, N., and Vermunt, J.K. (1997). Literary careers and critical reputation: a longitudinal study. In: S. Tötösy de Zepetnek and I. Sywenky (eds.), The systematic and empirical approach to literature and culture as theory and application, Vol. 7, 60-71. Alberta and Siegen: University of Alberta: RICL and Siegen University: LUMIS.(pdf)

Vermunt, J.K. (2002) A general latent class approach to unobserved heterogeneity in the analysis of event history data. In: J. Hagenaars and A. McCutcheon (eds.), Applied latent class analysis, 383-407 Cambridge University Press. (pdf)

Vermunt, J.K., and Magidson, J. Latent class cluster analysis. (2002) In: J.Hagenaars and A.McCutcheon (eds.), Applied latent class analysis, 89-106. Cambridge University Press. (pdf)

Van Abswoude, A.A.H. and Vermunt, J.K. (2003). Some alternative clustering methods for Mokken scale analysis. In: H Yanai, A.Okada, K.Shigemasu, Y.Kano, and J.J. Meulman (eds.), New Developments in Psychometrics, 623-630. Tokyo, Springer Verlag.

Kampen, J.K., Maddens, B., and Vermunt, J.K. (2003), Trust and satisfaction: A case study of the micro-performance theory. In: Ari Salminen (ed.), Governing Networks, 319-326. Amsterdam: IOS Press.

Magidson, J. and Vermunt, J.K. (2003). Comparing latent class factor analysis with the traditional approach in datamining. H. Bozdogan (ed.), Statistical Data Mining and Knowledge Discovery, 373-383. Boca Raton: Chapman & Hall/CRC. (pdf)

Magidson, J., and Vermunt, J.K, ( 2004) Latent class models. D. Kaplan (ed.), The Sage Handbook of Quantitative Methodology for the Social Sciences, Chapter 10, 175-198. Thousand Oakes: Sage Publications. (pdf)

Vermunt, J.K. & Hagenaars, J.A. (2004). Ordinal longitudinal data analysis. In: R.C. Hauspie, N. Cameron and L. Molinari (Eds.). Methods in Human Growth Research, Chapter 15, 374-393. Cambridge, UK: Cambridge University Press. (pdf)

Vermunt, J.K., and Magidson, J. (2005). Factor Analysis with categorical indicators: A comparison between traditional and latent class approaches. In A. Van der Ark, M.A. Croon and K. Sijtsma (eds), New Developments in Categorical Data Analysis for the Social and Behavioral Sciences, 41-62. Mahwah: Erlbaum. (pdf)

Vermunt, J.K, and Magidson, J. (2005). Hierarchical mixture models for nested data structures. In C. Weihs und W. Gaul (eds), Classification: The Ubiquitous Challenge, 176-183. Heidelberg: Springer. (pdf)

Magidson, J., and Vermunt, J.K, ( 2005). An extension of the CHAID tree-based segmentation algorithm to multiple dependent variables. In C. Weihs und W. Gaul (eds), Classification: The Ubiquitous Challenge, 240-247. Heidelberg: Springer. (pdf)

Dias, J.G., and Vermunt, J.K. (2006). Bootstrap methods for measuring classification uncertainty in latent class analysis. In: A. Rizzi and M Vichi (eds.), Proceedings in Computational Statistics, 31-41, Heidelberg: Springer. (pdf)

Magidson, J., and Vermunt, J.K. (2006). Use of latent class regression models with a random intercept to remove overall response level effects in ratings data. In: A. Rizzi and M Vichi (eds.), Proceedings in Computational Statistics, 351-360, Heidelberg: Springer. (pdf)

Vermunt, J.K. (2007). Growth models for categorical response variables: standard, latent-class, and hybrid approaches. In: K. van Montfort, H. Oud, and A. Satorra (eds.), Longitudinal Models in the Behavioral and Related Sciences, 139-158. Mahwah, NJ: Erlbaum. (pdf)

Vermunt, J.K., Tran, B., and 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, MA: Elsevier. (pdf)

Magidson, J., Vermunt, J.K., and 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, and T. Hoshino (eds.), New Trends in Psychometrics, 235-242. Universal Academy Press, Inc. (pdf)

Vermunt, J.K. (2009). Event history analysis. In: R. Millsap and A. Maydeu-Olivares (eds.), Handbook of Quantitative Methods in Psychology, 658-674. London: Sage. (pdf)

Lukociene, O., Vermunt, J.K (2010). Determining the number of components in mixture models for hierarchical data. In: Fink, A., Lausen, B., Seidel, W. and Ultsch, A. (eds.), Advances in data analysis, data handling and business intelligence , 241-250. Springer: Berlin-Heidelberg. (pdf)

Dias, J.G., Vermunt, J.K., and Ramos, S. (2010). Mixture hidden Markov models in finance research. In: Fink, A., Lausen, B., Seidel, W. and Ultsch, A. (eds.), Advances in data analysis, data handling and business intelligence , 451-460. Springer: Berlin-Heidelberg.

Vermunt, J.K (in press). Mixture models for multilevel data sets. In: J. Hox and J.K. Roberts (eds.), Handbook of Advanced Multilevel Analysis,. Lawrence Erlbaum. (pdf)

Bacher, J., and Vermunt, J.K. (in press). Analyse latenter Klassen. In: Wolf and Best (eds.) Handbuch socialwissenschaftliche Datenanalyse , , VS Verlag: Wiesbaden. (pdf)

Vermunt, J.K (in press). Longitudinal research using mixture models. In: K. van Montfort, J. Oud, and A. Satorra (eds.), Longitudinal Research with Latent Variables ,. Springer. (pdf)

Kankaras, M., Moors, G., and Vermunt, J.K (in press). Testing for measurement invariance with latent class analysis. In: E. Davidov, P. Schmidt and J. Billiet (eds.), Methods and Applications in Cross-Cultural Analysis,. Lawrence Erlbaum. (pdf)

Encyclopedia Entries

Vermunt, J.K, (2001). Event history analysis, selectivity. In: Smetser and Baltes (eds.), International Encyclopedia of the Social and Behavioral Sciences, Vol 7, 7956-7962. Elvesier. (pdf)

Vermunt, J.K. and Magidson, J. (2004). Latent class analysis. In: M.S. Lewis-Beck, A. Bryman, and T.F. Liao (eds.), The Sage Encyclopedia of Social Sciences Research Methods, 549-553. Thousand Oakes, CA: Sage Publications. (pdf)

Vermunt, J.K. and Magidson, J. (2004). Latent variable. In: M.S. Lewis-Beck, A. Bryman, and T.F. Liao (Eds.), The Sage Encyclopedia of Social Sciences Research Methods, 555-556. Thousand Oakes, CA: Sage Publications. (pdf)

Vermunt, J.K. and Magidson, J. (2004). Local independece. In: M.S. Lewis-Beck, A. Bryman, and T.F. Liao (eds.), The Sage Encyclopedia of Social Sciences Research Methods, 580-58. Thousand Oakes, CA: Sage Publications. (pdf)

Vermunt, J.K. and Magidson, J. (2004). Non-parametric random-effects model. In: M.S. Lewis-Beck, A. Bryman, and T.F. Liao (Eds.), The Sage Encyclopedia of Social Sciences Research Methods, 732-733. Thousand Oakes, CA: Sage Publications. (pdf)

Vermunt, J.K. (2004). Latent Markov model. In: M.S. Lewis-Beck, A. Bryman, and T.F. Liao (Eds.), The Sage Encyclopedia of Social Sciences Research Methods, 553-554. Thousand Oakes, CA: Sage Publications. (pdf)

Vermunt, J.K. (2004). Latent profile model. In: M.S. Lewis-Beck, A. Bryman, and T.F. Liao (Eds.), The Sage Encyclopedia of Social Sciences Research Methods, 554-555. Thousand Oakes, CA: Sage Publications. (pdf)

Vermunt, J.K. (2004). Mover-stayer model. In: M.S. Lewis-Beck, A. Bryman, and T.F. Liao (Eds.), The Sage Encyclopedia of Social Sciences Research Methods, 665-666. Thousand Oakes, CA: Sage Publications. (pdf)

Vermunt, J.K. (2004). Mixture model. In: M.S. Lewis-Beck, A. Bryman, and T.F. Liao (eds.), The Sage Encyclopedia of Social Sciences Research Methods, 653. Thousand Oakes, CA: Sage Publications. (pdf)

Vermunt, J.K. and Magidson, J. (2005). Structural equation models: Mixture models. In: B. Everitt and D. Howell, (eds.), Encyclopedia of Statistics in Behavioral Science, 1922�1927. Wiley: Chichester, UK. (pdf)

Vermunt, J.K. and Moors, G. (2005). Event history analysis. In: B. Everitt and D. Howell, (eds.), Encyclopedia of Statistics in Behavioral Science, 568�575. Wiley: Chichester, UK. (pdf)

Vermunt, J.K. (2005). Log-linear models. In: B. Everitt and D. Howell, (eds.), Encyclopedia of Statistics in Behavioral Science, 1082-1093. Wiley: Chichester, UK. (pdf)

Vermunt, J.K, and Magidson, J. (2005). Latent variable. In: B. Everitt and D. Howell, (eds.), Encyclopedia of Statistics in Behavioral Science, 1036-1037. Wiley: Chichester, UK. (pdf)

Vermunt, J.K. (in press). Latent class models. In: E. Baker, B. McGaw and P. Peterson (Eds.), International Encyclopedia of Education, . Oxford: Elsevier. (pdf)

Proceedings and Working Papers

Vermunt, J. (1999). On the use of order-restricted latent class models for defining and testing non-parametric IRT models. Methods of Psychological Research, 4, 71.

Magidson, J., and Vermunt, J. (1999). Latent class factor analysis. Methods of Psychological Research, 4, 46-47

Vermunt, J.K., and J. Magidson (2000) Graphical displays for latent class cluster and latent class factor models. W. Jansen and J.G. Bethlehem (eds.), Proceedings in Computational Statistics 2000, 121-122. Statistics Netherlands. ISSN 0253-018X. (pdf)

Magidson, J. and Vermunt, J. (2000). Bi-plots and related graphical displays based on latent class factor and cluster models. J. Blasius, J.Hox, E. de Leuw, and P. Schmith (eds.), Proceedings of the Fifth International Conference on Logic and Methodology, TT-Publikations. (pdf)

Aris, E.M., Hagenaars, J.A.P., Croon, M., and Vermunt, J.K. (2000). The use of randomisation for logit and logistic models, results from a simulation study. J. Blasius, J.Hox, E. de Leuw, and P. Schmith (eds.), Proceedings of the Fifth International Conference on Logic and Methodology, TT-Publikations. (pdf)

Galindo-Garre, F., Vermunt, J.K., and Ato-Garcia, M. (2000) Bayesian approaches to the problem of sparse tables in log-linear modelling. J. Blasius, J.Hox, E. de Leeuw, and P. Schmidt (eds.), Proceedings of the Fifth International Conference on Logic and Methodology, TT-Publikations. (pdf)

Van Abswoude, Vermunt, Hemker, Van der Ark (2002). Mokken scale analysis by hierarchical clustering procedures. CITO-reeks 2002-2. Arnhem: CITO.

Magidson, J., Eagle, T., and Vermunt, J.K. (2003). New developments in latent class choice modeling. April 2003 Sawtooth Software Conference Proceedings, 89-112. (pdf)

Magidson, J., Eagle, T., and Vermunt, J.K. (2005). Using parsimonious conjoint and choice models to improve the accuracy of put-of-sample share predictions. Paper presented at the ART Forum 2005 (pdf)

Vermunt, J.K. (2007). Multilevel mixture item response theory models: an application in education testing. Bulletin of the International Statistical Institute, 56th Session, paper #1253, 1-4. ISI 2007: Lisboa, Portugal. (pdf)

Magidson, J., and Vermunt, J.K. (2007). Use of a random intercept in latent class regression models to remove response. Bulletin of the International Statistical Institute, 56th Session, paper #1604, 1-4. ISI 2007: Lisboa, Portugal.

Lukocien�, O., and Vermunt, J.K. (2007). A comparison of parametric and nonparametric approaches for two-level random coefficient model. Bulletin of the International Statistical Institute, 56th Session, paper #927, 1-4. ISI 2007: Lisboa, Portugal.

Magidson, J., and Vermunt, J.K. (2007). Removing the scale factor confound in multinomial logit choice models to obtain better estimates of preference. October 2007 Sawtooth Software Conference Proceedings. (pdf)

Dias, J.G., Vermunt, J.K., and Ramos, S. (2008). Heterogeneous hidden markov models. Compstat 2008 Proceedings. (pdf)

Magidson, J., Thomas, D., and Vermunt, J.K. (2009). A new model for the fusion of maxdiff scaling and ratings data. 2009 Sawtooth Software Conference Proceedings, 83-103. (pdf)

Publications in Dutch

Latten, J.J., and Vermunt, J.K.. (1991) Jong en alleenstaand in de jaren '80 en '90. Maandstatistiek van de Bevolking. CBS, Voorburg.

Vermunt, J.K. (1990) Het aantal jonge moeders neemt weer toe. Maandstatistiek van de Bevolking, CBS.

Vermunt, J.K. (1990) Kleinere verschillen in huishoudensverdeling tussen gemeenten verwacht. Maandstatistiek van de Bevolking, CBS.

Vermunt, J.K. (1991) Een multivariaat model voor de geboorte van het eerste kind. Maandstatistiek van de Bevolking 91/5, 22-33. CBS, Voorburg.

Vermunt, J.K. (1991) Een model ter bepaling van de cohortcomponent in de sterfte. In: L. van Leeuwen en H. Cruijssen (eds.), Sterfte en gezondheid: nu en straks, 25-46. NIDI, Den Haag.

Vermunt, J.K. (1991) Leefstijl en demografisch gedrag: een toepassing van latente-klasse-analyse. Maandstatistiek van de Bevolking 91/11, 13-25. CBS, Voorburg.

Vermunt, J.K. (1992) Geboorte: ontwikkelingen in het verleden en toekomstverwachtingen. Maandstatistiek van de Bevolking 92/1, 18-28. CBS, Voorburg.

Vermunt, J.K. (1993) De geboorte van het eerste kind: uitstel of afstel. Gezin, 5, 31-52.

Vermunt, J.K. (2004), Toepassingen van latent klasse analyse in sociaal wetenschappelijk onderzoek (Rede van 3-10-2003). Sociale Wetenschappen. 47, 2-14. (pdf)

Vermunt, J.K, Bijmolt, T.H.A., and 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 en J.W. Wieringa (eds.), Ontwikkelingen in Marktonderzoek, Jaarboek 2006, 161-173. Haarlem: Spaar en Hout. (pdf)

Notelaers, G., De Witte, H., Vermunt, J.K., Einarsen, S. (2006). Pesten op het werk, gewikt en gewogen. Een latente-klassen benadering op basis van de Negative Acts-vragenlijst. Gedrag en Organisatie, 44-63.

Papers Submitted for Publication

Dias, J.G., Vermunt, J.K., and Ramos, S. (2007). Analysis of heterogeneous financial time series using a mixture Gaussian hidden Markov model. (pdf)

Lukociene, O., and Vermunt, J.K.. (2007). A Comparison of multilevel logistic regression models with parametric and nonparametric random intercepts. ,.(pdf)

Fahey, M.T., Ferrari, P., Slimani, N., Vermunt, J.K., White, I.R., Hoffmann, K., Wirf�lt, E., Bamia, C., Touvier, M., Linseisen, J., Rodr�guez-Barranco, M., Tumino, R., Lund, E., Overvad, K., Bueno de Mesquita, B., Bingham, S., and Riboli, E. (2007). Identifying dietary patterns using a normal mixture model: application to the EPIC study. ,.

Ramos, S, Vermunt, J.K., and Dias, J.G. (2007). When markets fall down: Are emerging markets all equal? ,. (pdf)

Pavlopoulos, D., Fouarge, D., Muffels, R., and Vermunt, J.K. (2008). Who benefits from a job change: The dwarfs or the giants? , . (pdf)

Pavlopoulos, D., Muffels, R., and Vermunt, J.K. (2008). How real is low pay mobility? , . (pdf)

Morren, M., Gelissen, J., and Vermunt, J.K. (2009). Dealing with extreme response style in cross-cultural research: A restricted latent class factor analysis approach. , . (pdf)

Kankaras, M., Vermunt, J.K., and Moors, G. (2009). Measurement equivalence of ordinal items: A comparison of factor analytic, item response theory, and latent class approaches. , . (pdf)

Pirani, E., Schifini D�Andrea, S. Vermunt, J.K., (2009). Poverty and social exclusion in Europe: differences and similarities across regions. ,. (pdf)

Simons, A. ,Vermunt, J.K., and Van den Bergh, B.R.H. (2009). Maternal anxiety throughout pregnancy and its association with depression in late pregnancy and babies' birth weight. ,.

Lukociene, O., Varriale, R., and Vermunt, J.K.. (2009). The simultaneous decision about the number of lower- and higher-level classes in multilevel latent class analysis. ,.(pdf)

Lukociene, O., and Vermunt, J.K.. (2009). Logistic regression analysis with multidimensional random effects: A comparison of three approaches. ,.(pdf)

Vermunt, J.K.. (2009). K-means may sometimes perform equal to mixture model clustering but often in practice it is much worse (Commentary on �Evaluating mixture modeling for clustering: Recommendations and cautions�). ,.

Mulder, E., Vermunt, J.K., Brand, E., Bullens, R., and Van Marle, H. (2009). Subgroups of serious juvenile offenders: Different profiles, different risks? ,.

Bakker, R.M., Oerlemans, L.A.G., Kenis, P., and Vermunt, J.K. (2009). Headed for an empirically derived taxonomy of temporary project networks: A configurational approach toward project-based learning and innovation. ,.

Tay, L., Diener, E., Drasgow, F., and Vermunt, J.K. (2009). Latent classes that share the same measurement model across hierarchical units: An explication and application of multilevel mixed-measurement IRT analysis. ,.

Bouwmeester, S., Vermunt, J.K., and Sijstma, K. (2009). Understanding cognitive development by using latent variable modeling instead of experimental hypothesis testing: An application to transitive reasoning. ,.

Manzoni, A., Vermunt, J.K., Luijkx, R., and Muffels, R. (2010). Memory bias in retrospectively collected employment careers: a model based approach to correct for measurement error. ,. (pdf)

Ligtvoet, R., and Vermunt, J.K. (2010), Latent class models for testing monotonicity and invariant item ordering for polytomous items. ,. (pdf)

Varriale, R., and Vermunt, J.K. (2010), Multilevel factor mixture models. ,. (pdf)

Paas, L.J., Bijmolt, T.H.A., and Vermunt, J.K. (2010). Long-term developments of EU household financial product portfolios (pdf).

Martella, F., and Vermunt, J.K. (2010), Model-based approaches to synthesize microarray data: a unifying review using mixture SEM. ,.

Almansa J., Vermunt J.K., Forero C.G., Vilagut G., Ormel J., Haro J.M., de Girolamo G., Alonso J. (2010). Exploring conceptual comorbidity models as measurement instruments for mental health epidemiology research.,.

Almansa, J., Vermunt J.K., Forero, C.G., Vilagut, G., De Graaf, R., de Girolamo, G., Alonso, J. (2010). Mental health state description using factor mixture models. ESEMeD results.,.