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  • Jeroen Vermunt
2019

Online estimation of individual-level effects using streaming shrinkage factors

Ippel, L., Kaptein, M. C. & Vermunt, J. K., 2019, In : Computational Statistics & Data Analysis. 137, p. 16-32

Research output: Contribution to journalArticleScientificpeer-review

2017

Posterior calibration of posterior predictive p-values

van Kollenburg, G. H., Mulder, J. & Vermunt, J. K., 2017, In : Psychological Methods. 22, 2, p. 382-396

Research output: Contribution to journalArticleScientificpeer-review

A continuous-time mixture latent-state-trait Markov model for experience sampling data application and evaluation

Crayen, C., Eid, M., Lischetzke, T. & Vermunt, J. K., Jul 2017, In : European Journal of Psychological Assessment. 33, 4, p. 296-311

Research output: Contribution to journalArticleScientificpeer-review

2016

Bias-adjusted three-step latent Markov modeling with covariates

Di Mari, R., Oberski, D. L. & Vermunt, J. K., 2016, In : Structural Equation Modeling. 23, 5, p. 649-660

Research output: Contribution to journalArticleScientificpeer-review

2017

Statistical power of likelihood ratio and Wald tests in latent class models with covariates

Gudicha, D. W., Schmittmann, V. D. & Vermunt, J. K., Oct 2017, In : Behavior Research Methods. 49, 5, p. 1824-1837

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
27 Downloads (Pure)
2016

Estimating random-intercept models on data streams

Ippel, G. J. E., Kaptein, M. C. & Vermunt, J. K., 2016, In : Computational Statistics & Data Analysis. 104, p. 169–182

Research output: Contribution to journalArticleScientificpeer-review

Two of a kind: Similarities between ranking and rating data in measuring work values

Moors, G. B. D., Gelissen, J. P. T. M., Vriens, I. P. M. & Vermunt, J. K., 2016, In : Survey Research Methods. 10, 1, p. 15-33

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
40 Downloads (Pure)

Modeling predictors of latent classes in regression mixture models

Kim, M., Vermunt, J. K., Bakk, Z., Jaki, T. & Van Horn, M. L., 2016, In : Structural Equation Modeling. 23, 4, p. 601-614

Research output: Contribution to journalArticleScientificpeer-review

Regression mixture models: Does modeling the covariance between independent variables and latent classes improve the results?

Lamont, A. E., Vermunt, J. K. & Van Horn, M. L., 2016, In : Multivariate Behavioral Research. 51, 1, p. 35-52

Research output: Contribution to journalArticleScientificpeer-review

2017
2018

Accounting for individual differences in the development of verbal and visual short term memory processes in children

Koppenol-Gonzalez, G. V., Bouwmeester, S. & Vermunt, J. K., 2018, In : Learning and Individual Differences. 66, p. 29-37

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
2019

Perceived relationship development in anxious and non-anxious adolescents: a person-centered five-wave longitudinal study

Hadiwijaya, H., Klimstra, T. A., Vermunt, J. K., Branje, S. J. T. & Meeus, W. H. J., 2019, In : Journal of Abnormal Child Psychology. 47, 3, p. 499-513

Research output: Contribution to journalArticleScientificpeer-review

Latent class trees with the three-step approach

Van den Bergh, M. & Vermunt, J. K., 2019, In : Structural Equation Modeling. 26, 3, p. 481-492

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
2 Downloads (Pure)
2018

Subgroups of Dutch homeless young adults based on risk- and protective factors for quality of life: Results of a latent class analysis

Altena, A. M., Beijersbergen, M. D., Vermunt, J. K. & Wolf, J. R. L. M., 2018, In : Health & Social Care in the Community . 26, 4, p. e587-e597

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
16 Downloads (Pure)
2019
Open Access
File
1 Downloads (Pure)
2016

Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models

Tekle, F. B., Gudicha, D. W. & Vermunt, J. K., 2016, In : Advances in Data Analysis and Classification. 10, 2, p. 209-224

Research output: Contribution to journalArticleScientificpeer-review

2019
Open Access
File
6 Downloads (Pure)

Profiles of SAVRY risk and protective factors within male and female juvenile offenders: A latent class and latent transition analysis

Hilterman, E. L. B., Vermunt, J. K., Nicholls, T. L., Bongers, I. L. & van Nieuwenhuizen, C., 2019, In : International Journal of Forensic Mental Health. 18, 4, p. 350-364

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
23 Downloads (Pure)
2016

Relating latent class membership to continuous distal outcomes: Improving the LTB approach and a modified three-step implementation

Bakk, Z., Oberski, D. L. & Vermunt, J. K., 2016, In : Structural Equation Modeling. 23, 2, p. 278-289

Research output: Contribution to journalArticleScientificpeer-review

2020

Identifying return to work trajectories among employees on sick leave due to mental health problems using latent class transition analysis

Spronken, M., Brouwers, E. P. M., Vermunt, J. K., Arends, I., Oerlemans, W. G. M., Van Der Klink, J. J. L. & Joosen, M. C. W., 2020, In : BMJ Open. 10, 2, e032016.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
2019

Estimating the number of serious road injuries per vehicle type in the Netherlands by using multiple imputation of latent classes

Boeschoten, L., de Waal, T. & Vermunt, J., 2019, In : Journal of the Royal Statistical Society A. 182, 4, p. 1463-1486

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
2 Downloads (Pure)
2016

Problems in detecting misfit of latent class models in diagnostic research without a gold standard were shown

van Smeden, M., Oberski, D. L., Reitsma, J. B., Vermunt, J. K., Moons, K. G. M. & de Groot, J. A. H., 2016, In : Journal of Clinical Epidemiology. 74, p. 158–166

Research output: Contribution to journalArticleScientificpeer-review

2019

A Personalized Data-to-Text Support Tool for Cancer Patients

Hommes, S., van der Lee, C., Clouth, F., Vermunt, J., Verbeek, X. & Krahmer, E., 2019.

Research output: Contribution to conferencePaperScientificpeer-review

Open Access
2016

Goodness-of-fit of multilevel latent class models for categorical data

Nagelkerke, E., Oberski, D. L. & Vermunt, J. K., 2016, In : Sociological Methodology. 46, 1, p. 252-282

Research output: Contribution to journalArticleScientificpeer-review

A comparison of incomplete data methods for categorical data

van der Palm, D. W., van der Ark, L. A. & Vermunt, J. K., 2016, In : Statistical Methods in Medical Research. 25, 2, p. 754-774

Research output: Contribution to journalArticleScientificpeer-review

2017

Mixture models

Vermunt, J. K. & Paas, L. J., 2017, Advanced methods for modeling markets. Leeflang, P. S. H., Wieringa, J. E., Bijmolt, T. H. A. & Pauwels, K. H. (eds.). Springer, p. 383-403 (International series in quantitative marketing).

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

2019

Latent class scaling models for longitudinal and multilevel data sets

Vermunt, J. K., 2019, Advances in latent class analysis: A Festschrift in honor of C. Mitchell Dayton. Hancock, G. R. & Macready, G. B. (eds.). Charlotte, NC: Information Age Publishing Inc., p. 223-238

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

2016

Divisive latent class modeling as a density estimation method for categorical data

van der Palm, D. W., van der Ark, L. A. & Vermunt, J. K., 2016, In : Journal of Classification. 33, 1, p. 52-72

Research output: Contribution to journalArticleScientificpeer-review

2017

Controlling for response order effects in ranking items using latent choice factor modeling

Vriens, I. P. M., Moors, G. B. D., Gelissen, J. P. T. M. & Vermunt, J. K., 2017, In : Sociological Methods & Research. 46, 2, p. 218-241

Research output: Contribution to journalArticleScientificpeer-review

2018
Open Access
File
8 Downloads (Pure)
2017

Dealing with data streams: An online, row-by-row estimation tutorial

Ippel, G. J. E., Kaptein, M. C. & Vermunt, J. K., 2017, In : Methodology: European Journal of Research Methods for the Behavioral and Social Sciences. 12, 4, p. 124-138

Research output: Contribution to journalArticleScientificpeer-review

Building latent class trees, with an application to a study of social capital

van den Bergh, M., Schmittmann, V. D. & Vermunt, J. K., 2 Jun 2017, In : Methodology: European Journal of Research Methods for the Behavioral and Social Sciences. 13, p. 13-22 9 p.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
67 Downloads (Pure)
2018

Deciding on the starting number of classes of a latent class tree

Van Den Bergh, M., Van Kollenburg, G. H. & Vermunt, J. K., 2018, In : Sociological Methodology. 48, 1, p. 303-336

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
13 Downloads (Pure)

Updating latent class imputations with external auxiliary variables

Boeschoten, L., Oberski, D. L., de Waal, T. & Vermunt, J. K., 2018, In : Structural Equation Modeling. 25, 5, p. 750-761

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
10 Downloads (Pure)
Open Access
File
5 Downloads (Pure)

Latent GOLD

Vermunt, J. K., 2018, Handbook of item response theory. van der Linden, W. J. (ed.). Chapman & Hall

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

2016

Power computation for likelihood ratio tests for the transition parameters in latent Markov models

Gudicha, D. W., Schmittmann, V. D. & Vermunt, J. K., 2016, In : Structural Equation Modeling. 23, 2, p. 234-245

Research output: Contribution to journalArticleScientificpeer-review

2019

On the exploratory road to unraveling factor loading non-invariance: A new multigroup rotation approach

De Roover, K. & Vermunt, J. K., 2019, In : Structural Equation Modeling. 26, 6, p. 905-923

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
11 Downloads (Pure)
2020

Dietary patterns and oral and pharyngeal cancer using latent class analysis

Dalmartello, M., Decarli, A., Ferraroni, M., Bravi, F., Serraino, D., Garavello, W., Negri, E., Vermunt, J. & La Vecchia, C., 2020, In : International Journal of Cancer. 9 p.

Research output: Contribution to journalArticleScientificpeer-review

Repeated measures regression mixture models

Kim, M., Van Horn, M. L., Jaki, T., Vermunt, J., Feaster, D., Lichstein, K. L., Taylor, D. J., Riedel, B. W. & Bush, A. J., 2020, In : Behavior Research Methods.

Research output: Contribution to journalArticleScientificpeer-review

2019
Open Access
File
14 Downloads (Pure)
2016

Robustness of stepwise latent class modeling with continuous distal outcomes

Bakk, Z. & Vermunt, J. K., 2016, In : Structural Equation Modeling. 23, 1, p. 20-31

Research output: Contribution to journalArticleScientificpeer-review

2017

Mixture simultaneous factor analysis for capturing differences in latent variables between higher level units of multilevel data

De Roover, K., Vermunt, J. K., Timmerman, M. E. & Ceulemans, E., 6 Mar 2017, In : Structural Equation Modeling. 24, 4, p. 506-523

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
15 Downloads (Pure)
2019

Data-driven shared decision-making on cancer treatment

Vromans, R., Hommes, S., Clouth, F., Pauws, S., Vermunt, J., Geleijnse, G., van Eenbergen, M., Verbeek, X., van de Poll-Franse, L. V. & Krahmer, E., 2019.

Research output: Contribution to conferencePosterOther research output

2016

Power analysis for the likelihood-ratio test in latent Markov models: Shortcutting the bootstrap p-value-based method

Gudicha, D. W., Schmittmann, V. D., Tekle, F. B. & Vermunt, J. K., 2 Sep 2016, In : Multivariate Behavioral Research. 51, 5, p. 649-660

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
32 Downloads (Pure)
2019

Estimating multilevel models on data streams

Ippel, L., Kaptein, M. C. & Vermunt, J. K., 2019, In : Psychometrika. 84, 1, p. 41-64

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
2016

Power and sample size computation for Wald tests in latent class models

Gudicha, D. W., Tekle, F. B. & Vermunt, J. K., 2016, In : Journal of Classification. 33, 1, p. 30–51

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
46 Downloads (Pure)
2017

On the development of harmony, turbulence, and independence in parent–adolescent relationships: A five-wave longitudinal study

Hadiwijaya, H., Klimstra, T. A., Vermunt, J. K., Branje, S. & Meeus, W. H. J., 2017, In : Journal of Youth and Adolescence. 46, p. 1772–1788

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
61 Downloads (Pure)

The GRoLTS-Checklist: Guidelines for reporting on latent trajectory studies

Van De Schoot, R., Sijbrandij, M., Winter, S. D., Depaoli, S. & Vermunt, J. K., 2017, In : Structural Equation Modeling. 24, 3, p. 451-467

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
163 Downloads (Pure)