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2016

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

2018

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 proceedingChapterScientific

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

Linear Models
2016

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

Nominal or categorical data
Incomplete Data
Multiple Imputation
Latent Class Model
Imputation
2018
16 Downloads (Pure)

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
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

Routine Diagnostic Tests
Diagnostic Errors
Gold
46 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
File
Latent Class Analysis
Latent Class Model
Wald Test
Statistical Power
Sample Size
2018
5 Downloads (Pure)

Building latent class growth trees

Van Den Bergh, M. & Vermunt, J. K., 2018, In : Structural Equation Modeling. 25, 3, p. 331-342

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
Latent Class
Latent Class Analysis
Growth Analysis
Recursive Partitioning
Mood
10 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
2017
66 Downloads (Pure)

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
social capital
Cluster Analysis
cluster analysis
interpretation
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

Latent Class Model
Power Analysis
Likelihood Ratio Test
Bootstrap
Sample Size

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

Likelihood Ratio Test
Markov Model
Monte Carlo method
Monte Carlo methods
Preforming

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

Covariates
trend
Modeling
Markov Model
Latent Class Analysis
32 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
File
Power Analysis
Likelihood Ratio Test
p-Value
Bootstrap
Markov Model

Bias-adjusted three-step latent Markov modeling with covariates

Di Mari, R., Oberski, D. L. & Vermunt, J. K., 2016, 45 p.

Research output: Working paperOther research output

2017
Interviews
Sedentary Lifestyle
Hostility
Depression
Self Report
60 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
File
longitudinal study
Parents
adolescent
parents
Individuation

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

2019
14 Downloads (Pure)
Open Access
File
Longitudinal Study
Factor analysis
Factor Analysis
factor analysis
longitudinal study
2020

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

Weights and Measures
Mixture Model
Ecological Momentary Assessment
Enumeration
Sample Size
2019
1 Downloads (Pure)

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

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

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

2019

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

21 Downloads (Pure)
Open Access
File
self-control
psychopathology
history
coping
Impulsive Behavior
2018
8 Downloads (Pure)
Open Access
File

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
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

12 Downloads (Pure)

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
File
Latent Class Analysis
Multilevel Analysis
Type I error
statistics
Statistics
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

Casting wider nets for anxiety and depression: disability-driven cross-diagnostic subtypes in a large cohort

Wanders, R. B. K., Van Loo, H. M., Vermunt, J. K., Meijer, R. R., Hartman, C. A., Schoevers, R. A., Wardenaar, K. J. & De Jonge, P., 1 Dec 2016, In : Psychological Medicine. 46, 16, p. 3371-3382

Research output: Contribution to journalArticleScientificpeer-review

Depression
Odds Ratio
Medically Unexplained Symptoms

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

2017
27 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
File
2019
2 Downloads (Pure)

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
Accidents
Statistics
Uncertainty
2016
39 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
File
ranking
rating
questionnaire
Values
methodology
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

new technology
learning

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

ranking
trend
social research
Values
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

Latent Class
Latent Class Analysis
Robustness
Modeling
juvenile offender
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

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
2020

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

Young Adult
Fathers
Parents
Mothers
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

2017
32 Downloads (Pure)
Open Access
File
Orthopsychiatry
Netherlands
2016

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

Latent Class
Mixture Model
Predictors
Regression Model
regression

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
Model Theory
Response Time
Modeling
Latent Class Model
Conditional Independence
2017
163 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
Trajectories
Trajectory
Latent Class Analysis
Growth Analysis
Mixture Modeling
2016
92 Downloads (Pure)

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
File
Latent Class Model
Multilevel Models
Macros
Latent Variables
Model
2018
1 Downloads (Pure)

A semi-parametric within-subject mixture approach to the analyses of responses and response times

Molenaar, D., Bolsinova, M. & Vermunt, J. K., 2018, In : British Journal of Mathematical and Statistical Psychology. 71, 2, p. 205-228

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
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

statistics
lack
Group

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

Mental Health
Health Surveys
Logistic Models
Education
Wounds and Injuries