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Author

  • Jeroen Vermunt
2013

Students reading motivation: A multilevel mixture factor analysis

Riggi, M. & Vermunt, J. K., 2013, Challenges at the interface of data analysis, computer science, and optimization; Studies in classification, data analysis, and knowledge organization. Gaul, W. A., Geyer-Schulz, A., Schmidt-Thieme, L. & Kunze, J. (eds.). Berlin: Springer, p. 567-573

Research output: Chapter in Book/Report/Conference proceedingConference contributionProfessional

2012

Multilevel mixture factor models

Varriale, R. & Vermunt, J. K., 2012, In : Multivariate Behavioral Research. 47, 2, p. 247-275

Research output: Contribution to journalArticleScientificpeer-review

18 Citations (Scopus)
2015

Depression trajectories, inflammation, and lifestyle factors in adolescence: The TRacking Adolescents' Individual Lives Survey

Duivis, H. E., Kupper, N., Vermunt, J. K., Penninx, B. W., Bosch, N. M., Riese, H., Oldehinkel, A. J. & de Jonge, P., 2015, In : Health Psychology. 34, 11, p. 1047-1057

Research output: Contribution to journalArticleScientificpeer-review

14 Citations (Scopus)
2013

Categorical response data

Vermunt, J. K., 2013, The SAGE Handbook of Multilevel Modeling. Scott, M. A., Simonof, J. S. & Marx, B. D. (eds.). Thousand Oaks: Sage, p. 287-298 696 p.

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

Special issue on “Model-based clustering and classification”

Bock, H. H., Ingrassia, S. & Vermunt, J. K., 2013, In : Advances in Data Analysis and Classification. 7, 3, p. 237-240

Research output: Contribution to journalEditorialScientificpeer-review

Open Access
2014

Partial likelihood estimation of IRT models with censored lifetime data: An application to mental disorders in the ESEMeD surveys

Forero, C. G., Almansa, J., Adroher, N. D., Vermunt, J. K., Vilagut, G., de Graaf, R., Haro, J. M. & Alonso Caballero, J., 2014, In : Psychometrika. 79, 3, p. 470-488

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
2015

Long-term developments of respondent financial product portfolios in the EU: A multilevel latent class analysis

Paas, L. J., Bijmolt, T. H. A. & Vermunt, J. K., 2015, In : Metron. 73, 2, p. 249-262

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
2011

When markets fall down: Are emerging markets all the same?

Ramos, S., Vermunt, J. K. & Dias, J. G., 2011, In : International Journal of Finance and Economics. 16, 4, p. 324-338

Research output: Contribution to journalArticleScientificpeer-review

18 Citations (Scopus)
2013

Assessing the item response theory with covariate (IRT-C) procedure for ascertaining differential item functioning

Tay, L., Vermunt, J. K. & Wang, C., 2013, In : International Journal of Testing. 13, 3, p. 201-222

Research output: Contribution to journalArticleScientificpeer-review

10 Citations (Scopus)
2016

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

5 Citations (Scopus)
2013

A model-based approach to goodness-of-fit evaluation in item response theory

Oberski, D. L. & Vermunt, J. K., 2013, In : Measurement. Journal of the International Measurement Confederation. 11, 3, p. 117-122

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)
2015

On mixture models for diagnostic meta-analyses

Eusebi, P., Reitsma, J. B. & Vermunt, J. K., 2015, In : Journal of Clinical Epidemiology. 68, 2, p. 1523-1523

Research output: Contribution to journalComment/Letter to the editorProfessional

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

10 Citations (Scopus)
2013

Mixture model clustering with covariates using adjusted three-step approaches

Gudicha, D. & Vermunt, J. K., 2013, Algorithms from and for nature and life: Classification and data analysis. Lausen, B., van den Poel, D. & Ultsch, A. (eds.). Heidelberg: Springer, p. 87-94

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

8 Citations (Scopus)
2011

Measurement equivalence of ordinal items: A comparison of factor analytic, item response theory, and latent class approaches

Kankaras, M., Vermunt, J. K. & Moors, G. B. D., 2011, In : Sociological Methods and Research. 40, 2, p. 279-310

Research output: Contribution to journalArticleScientificpeer-review

41 Citations (Scopus)
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

6 Citations (Scopus)

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

4 Citations (Scopus)
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 proceedingChapterScientificpeer-review

2017
5 Citations (Scopus)
2014

Latent class model

Vermunt, J. K., 2014, Encyclopedia of quality of life research and well-being research. Michalos, A. C. (ed.). Dordrecht: Springer, p. 3509-3515

Research output: Chapter in Book/Report/Conference proceedingEntry for encyclopedia/dictionaryScientificpeer-review

2012

The development of verbal and visual working memory processes: A latent variable approach

Gonzalez Marin, G. V., Bouwmeester, S. & Vermunt, J. K., 2012, In : Journal of Experimental Child Psychology. 111, 3, p. 439-454

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)
2013

Testing the strain hypothesis of the Demand Control Model to explain severe bullying at work

Notelaers, G., Baillien, E., de Witte, H., Einarsen, S. & Vermunt, J. K., 2013, In : Economic and Industrial Democracy. 34, 1, p. 69-87

Research output: Contribution to journalArticleScientificpeer-review

34 Citations (Scopus)
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

13 Citations (Scopus)
2015

Multiple imputation of missing categorical data using latent class models: State of art

Vidotto, D., Kaptein, M. C. & Vermunt, J. K., 2015, In : Psychological Test and Assessment Modeling. 57, 4, p. 542-576

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
77 Downloads (Pure)
2019

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
9 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

17 Citations (Scopus)

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

21 Citations (Scopus)
2013

Micro–macro multilevel analysis for discrete data: A latent variable approach and an application on personal network data

Bennink, M., Croon, M. A. & Vermunt, J. K., 2013, In : Sociological Methods and Research. 42, 4, p. 431-457

Research output: Contribution to journalArticleScientificpeer-review

18 Citations (Scopus)
2019

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

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

2011

Types of fatigue in sarcoidosis patients

de Kleijn, W. P. E., Drent, M., Vermunt, J. K., Shigemitsu, H. & de Vries, J., 2011, In : Journal of Psychosomatic Research. 71, 6, p. 416-422

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
18 Citations (Scopus)
162 Downloads (Pure)
2015

The relationship between CUB and loglinear models with latent variables

Oberski, D. L. & Vermunt, J. K., 2015, In : Electronic Journal of Applied Statistical Analysis. 8, 3, p. 368-377

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
5 Citations (Scopus)
76 Downloads (Pure)
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
4 Citations (Scopus)
47 Downloads (Pure)
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
1 Citation (Scopus)
7 Downloads (Pure)
2012

How real is mobility between low pay, high pay and non-employment?

Pavlopoulos, D., Muffels, R. J. A. & Vermunt, J. K., 2012, In : Journal of the Royal Statistical Society, Series A. 175, 3, p. 749-773

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)
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
20 Citations (Scopus)
65 Downloads (Pure)
2012

The latent variable approach as applied to transitive reasoning

Bouwmeester, S., Vermunt, J. K. & Sijtsma, K., 2012, In : Cognitive Development. 27, 2, p. 168-180

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
2019

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

2018
Open Access
File
3 Citations (Scopus)
21 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
3 Citations (Scopus)
25 Downloads (Pure)
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
8 Citations (Scopus)
30 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
2 Citations (Scopus)
41 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
13 Citations (Scopus)
80 Downloads (Pure)
2013

Identifying the different courses of cognitive functioning across time in patients with breast cancer treated with chemotherapy (abstract)

Pullens, M. J. J., Vermunt, J. K., Roukema, J. A., Van Riel, J. M. G. H., Roerdink, H. T. J. & De Vries, J., Sep 2013, In : European Journal of Cancer: Official journal for European Organization for Research and Treatment of Cancer (EORTC). 49, p. S437-S437

Research output: Contribution to journalMeeting AbstractOther research output

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

10 Citations (Scopus)
2013

A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models

Oberski, D. L., van Kollenburg, G. H. & Vermunt, J. K., 2013, In : Advances in Data Analysis and Classification. 7, 3, p. 267-279

Research output: Contribution to journalArticleScientificpeer-review

20 Citations (Scopus)
2014

A conceptual and methodological framework for psychometric isomorphism: Validation of multilevel construct measures

Tay, L., Woo, S. E. & Vermunt, J. K., 2014, In : Organizational Research Methods. 17, p. 77-106

Research output: Contribution to journalArticleScientificpeer-review

33 Citations (Scopus)
2015

Evaluating measurement invariance in categorical data latent variable models with the epc-interest

Oberski, D. L., Vermunt, J. K. & Moors, G. B. D., 2015, In : Political Analysis. 23, 4, p. 550-563

Research output: Contribution to journalArticleScientificpeer-review

6 Citations (Scopus)
2014

Measuring student ability, classifying schools, and detecting item bias at school level, based on student-level dichotomous items

Bennink, M., Croon, M. A., Keuning, J. & Vermunt, J. K., Jun 2014, In : Journal of Educational and Behavioral Statistics. 39, 3, p. 180-202

Research output: Contribution to journalArticleScientificpeer-review

5 Citations (Scopus)
2012
15 Citations (Scopus)