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  • Jeroen Vermunt

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

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10 Downloads (Pure)

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
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40 Downloads (Pure)
Open Access
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23 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
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163 Downloads (Pure)

The family context as a foundation for romantic relationships: A person-centered multi-informant longitudinal study

Hadiwijaya, H., Klimstra, T., Darling, N., Vermunt, J., Branje, S. & Meeus, W. H. J., 2020, In : Journal of Family Psychology. 34, 1, p. 46-56

Research output: Contribution to journalArticleScientificpeer-review

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
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16 Downloads (Pure)

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
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27 Downloads (Pure)

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

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

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

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

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

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

Pre-event trajectories of mental health and health-related disabilities, and post-event traumatic stress symptoms and health: A 7-wave population-based study

van der Velden, P., Bosmans, M., van der Meulen, E. & Vermunt, J. K., 2016, In : Psychiatry Research. 246, 466–473.

Research output: Contribution to journalArticleScientificpeer-review

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

Power and type I error of local fit statistics in multilevel latent class analysis

Nagelkerke, E., Oberski, D. L. & Vermunt, J. K., 2017, In : Structural Equation Modeling. 24, 2, p. 216-229

Research output: Contribution to journalArticleScientificpeer-review

Open Access
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12 Downloads (Pure)

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
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46 Downloads (Pure)

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
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32 Downloads (Pure)

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

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

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

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
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11 Downloads (Pure)

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
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61 Downloads (Pure)

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

Open Access
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1 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

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
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15 Downloads (Pure)

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

Micro-macro multilevel latent class models with multiple discrete individual-level variables

Bennink, M., Croon, M. A., Kroon, B. & Vermunt, J. K., 2016, In : Advances in Data Analysis and Classification. 10, 2, p. 139-154

Research output: Contribution to journalArticleScientificpeer-review

Open Access
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92 Downloads (Pure)
Open Access
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33 Downloads (Pure)
Open Access
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16 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

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
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2 Downloads (Pure)

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

Item Response Theory with Covariates (IRT-C): Assessing item recovery and differential item functioning for the three-parameter logistic model

Tay, L., Huang, Q. & Vermunt, J. K., 2016, In : Educational and Psychological Measurement. 76, 1, p. 22-42 21 p.

Research output: Contribution to journalArticleScientificpeer-review

Insomnia disorder subtypes derived from life history and traits of affect and personality

Blanken, T. F., Benjamins, J. S., Borsboom, D., Vermunt, J. K., Paquola, C., Ramautar, J., Dekker, K., Stoffers, D., Wassing, R., Wei, Y. & Van Someren, E. J. W., 2019, In : The Lancet Psychiatry. 6, 2, p. 151-163

Research output: Contribution to journalArticleScientificpeer-review

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
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Hidden Markov item response theory models for responses and response times

Molenaar, D., Oberski, D. L., Vermunt, J. K. & De Boeck, P., 2 Sep 2016, In : Multivariate Behavioral Research. 51, 5, p. 606-626

Research output: Contribution to journalArticleScientificpeer-review

Open Access

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

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
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2 Downloads (Pure)

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

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

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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

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

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
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13 Downloads (Pure)

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

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

Data-driven shared decision making on cancer treatment

Hommes, S., Clouth, F., Vromans, R., Geleijnse, G., Pauws, S., Vermunt, J., van de Poll-Franse, L. V. & Krahmer, E., 2 Oct 2019.

Research output: Contribution to conferencePosterOther research output

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