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Software, User Manuals, and Video Articles
and Commentaries in ISI Journals Articles
and Commentaries in Other Journals Proceedings
and Working Papers Papers
Submitted for Publication Links
My Tilburg University home page (with photo): click here Department of Methodology and Statistics: click here Research Master in Methodology and Statistics: click here Latent GOLD and Latent GOLD Choice programs: click here SciencePlus (Software for Science): click here
UCLA ATS Latent GOLD movies. click here. LEM program: click here Latent class analysis (John Uebersax): click here Latent class analysis (Keith Markus): click here Latent class analysis (David Garson): click here Harriet van der Vleuten (my wife's company): click here Software,
User Manuals, and Video
Vermunt, J.K. (1993). LEM
0.1:Log-linear and event history analysis with missing data using the EM
algorithms. Tilburg: Tilburg University. Vermunt, J.K (1997). LEM 1.0: A
general program for the analysis of categorical data. Tilburg: Tilburg
University. (more info) Vermunt, J.K. and Magidson, J. (2000). Latent GOLD User's Manual. 185 pages.
Boston: Statistical Innovations Inc. 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, 179-207. (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, and 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) 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) 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)
Vermunt, J.K. and Anderson, C.A (2005): Maximum likelihood joint correspondence
analysis. Methodology, 1, 18-26. (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)
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)
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) 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) Palardy, G., and Vermunt, J.K.. (2010). Multilevel growth mixture models for
classifying groups. Journal of Educational and Behavioral Statistics, 35, 532-565.
Vermunt, J.K. (2010).
Latent class modeling with covariates: Two improved three-step approaches. Political Analysis, 18, 450-469.
(pdf)
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. Sociological Methodology, 40, 39-73. (pdf)
Lukociene, O., Varriale, R., and 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, 247-283.(pdf)
Mulder, E.J.H., Koopman, C.M., Vermunt, J.K., de Valk, H.W., and Visser, G.H.A. (2010). Fetal growth trajectories
in type-1 diabetic pregnancy. Ultrasound in Obstetrics and Gynecology, 36(6), 735-742.
Tay, L., Newman, D.A., and 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.
(pdf)
Tay, L., Diener, E., Drasgow, F., and 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.
(pdf)
Notelaers, G., Vermunt, J.K., Baillien, E., Einarsen, S., and De Witte, H. (2011).
Exploring risk groups and risk factors for workplace bullying. Industrial Health, 49, 73-88.
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 (2011). Psychological Methods, 16, 82-88.
(pdf)
Kankaras, M., Vermunt, J.K., and Moors, G. (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. (pdf)
Almansa, J., Vermunt J.K., Forero, C.G., Vilagut, G., De Graaf, R.,
de Girolamo, G., Alonso, J. (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.
Ramos, S.B., Vermunt, J.K., and Dias, J.G. (2011). When markets fall down: Are emerging
markets all equal? International Journal of Finance and Economics, 16, 324–338.
(pdf)
Morren, M., Gelissen, J.P.T.M., and Vermunt, J.K. (2011).
Dealing with extreme response style in cross-cultural research: A restricted latent class
factor analysis approach. Sociological Methodology , 41, 13-47. (pdf)
Martella, F., Vermunt, J.K., Beekman, M., Westendorp, R.G.J., Slagboom, P.E., and Houwing-Duistermaat, J.J.
(2011). A mixture model with random-effects components for classifying sibling pairs. Statistics in Medicine,
30(27), 3252–3264. (pdf)
De Kleijn, W.P.E., Drent, M., Vermunt, J.K., Shigemitsu, H., and De Vries, J. (2011). Types of fatigue in sarcoidosis patients.
Journal of Psychosomatic Research, 71(6), 416-422.
Koppenol-Gonzalez, G., Bouwmeester, S., and Vermunt, J.K. (2012. The development of verbal and
visual working memory processes: A latent variable approach Journal of Experimental Child Psychology , 111, 439-454.
Derks, E.M., Allardyce, J., Boks, M.P., Vermunt, J.K., Hijman, R., Ophoff, R.A., and G.R.O.U.P. (in press).
Kraepelin was right: A latent class analysis of psychosis dimensions in patients and controls.
Schizophrenia Bulletin,.
Ligtvoet, R., and Vermunt, J.K. (in press). Latent class models for testing monotonicity
and invariant item ordering for polytomous items. British Journal of Mathematical and Statistical Psychology,. (pdf)
Morren, M., Gelissen, J.P.T.M., and Vermunt, J.K. (in press).
The impact of controlling for extreme responding on measurement equivalence in cross-cultural research. Methodology , .
(pdf)
Mulder, E., Vermunt, J.K., Brand, E., Bullens, R., and Van Marle, H. (in press). Recidivism in subgroups of serious juvenile offenders:
different profiles, different risks?" Criminal Behaviour and Mental Health,.
Martella, F., and Vermunt, J.K. (in press). Model-based approaches to synthesize microarray data:
a unifying review using mixture of SEMs. Statistical Methods in Medical Research,. (pdf)
Pavlopoulos, D., Muffels, R., and Vermunt, J.K. (in press).
How real is mobility between low pay, high pay and non-employment? Journal of the Royal Statistical Society, Series A (Statistics in Society), . (pdf)
Notelaers, G., Baillien, E., De Witte, H., Einarsen, S., and Vermunt, J.K. (in press1).
Testing the strain hypothesis of the demand control model to explain severe bullying at work.
Economic and Industrial Democracy , , .
Morren, M., Gelissen, J.P.T.M., and Vermunt, J.K. (in press).
Exploring the response process of culturally differing survey respondents with a response style:
a sequential mixed-methods study. Field Methods , .
Fahey, M.T., Ferrari, P., Slimani, N., Vermunt, J.K., White, I.R., Hoffmann, K., Wirfält, E., Bamia, C., Touvier, M.,
Linseisen, J., Rodríguez-Barranco, M., Tumino, R., Lund, E., Overvad, K., Bueno de Mesquita, B., Bingham, S., and Riboli, E. (in press).
Identifying dietary patterns using a normal mixture model: application to the EPIC study. Journal of Epidemiology and Community Health,.
Varriale, R., and Vermunt, J.K. (in press). Multilevel factor mixture models. Multivariate
Behavioral Research,. (pdf)
Morren, M., Gelissen, J.P.T.M., and Vermunt, J.K. (in press).
Response strategies and response styles in cross-cultural surveys. Cross-Cultural Research,.
(pdf)
Crayen, C., Eid, M., Lischetzke, T.; Courvoisier, D.S., and Vermunt, J.K. (cond. accepted). Mixture latent Markov modeling
of ambulatory assessment data. Psychosomatic Medicine,.
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) 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) 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)
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, UK: Cambridge University Press. (pdf) Vermunt, J.K., and Magidson, J. (2002). Latent class
cluster analysis. In:
J.Hagenaars and A.McCutcheon (eds.),
Applied latent class analysis,
89-106. Cambridge, UK: 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 , 241-249. 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 , 451-459. Springer: Berlin-Heidelberg. Vermunt, J.K (2010). Longitudinal research using mixture models.
In: K. van Montfort, J.H.L. Oud, and A. Satorra (eds.), Longitudinal Research with Latent Variables , 119-152. Heidelberg, Germany: Springer. (pdf) Bacher, J., and Vermunt, J.K. (2010).
Analyse latenter Klassen. In: C. Wolf und H. Hennig (Hrsq.), Handbuch der sozialwissenschaftlichen Datenanalyse , 553-574. VS Verlag: Wiesbaden. (pdf)
Vermunt, J.K (2010). Mixture models for multilevel data sets.
In: J. Hox and J.K. Roberts (eds.), Handbook of Advanced Multilevel Analysis, 59-81. New York: Routledge. (pdf) Kankaras, M., Moors, G., and Vermunt, J.K (2010). Testing for measurement invariance with latent class analysis.
In: E. Davidov, P. Schmidt, and J. Billiet (eds.), Cross-Cultural Analysis: Methods and Applications, 359-384. New York: Routledge. (pdf) Vermunt, J.K. (in press).
Latent class scaling models for longitudinal and multilevel data sets. In: G. R. Hancock and G. B. Macready (Eds.),
Advances in latent class analysis: A Festschrift in honor of C. Mitchell Dayton. Charlotte, NC: Information Age Publishing, Inc.
(pdf)
Tekle, F.B., and Vermunt, J.K. (in press). Event history analysis. APA Handbook of Research Methods in Psychology..
(pdf)
Gudicha, D.W., and Vermunt, J.K. (in press). Mixture model clustering with covariates
using adjusted three-step approaches. B. Lausen, D. van den Poel, and A. Ultsch (eds)
Proceedings GfKl/ICFS 2011. Springer. (pdf)
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. (2010). Latent Class Models. In: P. Peterson, E. Baker,
B. McGaw, (eds.), International Encyclopedia of Education. volume 7, 238-244. Oxford: Elsevier. (pdf) 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.
Lukociené, 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) Pirani, E., Schifini D’Andrea, S. Vermunt, J.K., (2009).
Poverty and social exclusion in Europe: differences and similarities across regions. Paper presented at XXVI IUSSP, Marrakech.
(pdf)
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.
Lukociene, O., and Vermunt, J.K.. (2007). A Comparison of multilevel logistic regression models with
parametric and nonparametric random intercepts. ,.(pdf)
Pavlopoulos, D., Fouarge, D., Muffels, R., and Vermunt, J.K. (2008).
Who benefits from a job change: The dwarfs or the giants? , . (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., and Vermunt, J.K.. (2009). Logistic regression analysis with multidimensional random
effects: A comparison of three approaches. ,.(pdf)
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. ,.
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. ,.
Paas, L.J., Bijmolt, T.H.A., and Vermunt, J.K. (2010). Long-term developments of EU household
financial product portfolios (pdf).
Almansa J., Vermunt J.K., Forero C.G., Vilagut G., Ormel J., Haro J.M., de Girolamo G., and Alonso J. (2010).
Exploring conceptual comorbidity models as measurement instruments for mental health epidemiology research.,.
Tay, L., Vermunt, J.K., and Wang, C. (2010).
Assessing the item response theory with covariate (IRT-C) procedure for ascertaining differential item functioning. ,.
Pieters, R. , Baumgarter, H., and Vermunt, J.K. (2010). Trajectories of productivity: Stratification,
mobility, and research portfolios. ,.
Eusebi, P., Reitsma, J.B., and Vermunt, J.K. (2010).
Latent class bivariate model for the meta-analysis of diagnostic test accuracy studies. , .
Almansa J., Vermunt J.K., Forero C.G., and Alonso J. (2010).
A factor-analytic model for multivariate survival data. An application to the analysis of lifetime mental disorders. ,.
Dias, J.G., Vermunt, J.K., and Ramos, S. (2011). Mining financial time series: New insights from model-based
clustering methods.
(pdf)
Tay, L., Woo, S.E. Vermunt, J.K., and Diener, E. (2011). A conceptual and methodological framework for cross-level isomorphism:
Psychometric validation of multilevel constructs.
Dawson, J., Walsh, W.A., Mattingly, M.J., and Vermunt, J.K. (2011). Latent class derived child maltreatment types:
evidence from the National Survey of Child and Adolescent Well-Being.
Kieruj, N., Moors, G., and Vermunt, J.K. (2011). The effect of labeling and numbering of response scales
on the likelihood of response bias.
van Lettow, B., Vermunt, J.K., de Vries, H., Burdorf. A., van Empelen, P. (2011). Clustering of drinker image characteristics: What characterizes the typical drinker?
Altena, M.A., Beijersbergen, M.D., Vermunt, J.K., and Wolf, J. (2011). Needs profiles of dutch homeless
youth: Results of a latent class analysis.
van der Palm, D.W., van der Ark, L.A., and Vermunt, J.K. (2011). A comparison of incomplete-data methods
for categorical data.
Bakk, Zs., Tekle, F.B., and Vermunt, J.K. (2011). Estimating the association between latent class
membership and external variables using bias adjusted three-step approaches. (pdf)
Derks, E.M., Boks, M.P.M., Vermunt, J.K., and GROUP (2011).
The identification of family subtype based on the assessment of subclinical levels of psychosis in relatives
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