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Author

  • Jeroen Vermunt
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

2019
Open Access
File
1 Downloads (Pure)
2011

Using mixed-measurement item response theory with covariates (MM-IRT-C) to ascertain observed and unobserved measurement equivalence

Tay, L., Newman, D. A. & Vermunt, J. K., 2011, In : Organizational Research Methods. 14, 1, p. 147-176

Research output: Contribution to journalArticleScientificpeer-review

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

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
2 Downloads (Pure)
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

2013

Model-based approaches to synthesize microarray data: A unifying review using mixture of SEMs

Martella, F. & Vermunt, J. K., 2013, In : Statistical Methods in Medical Research. 22, 6, p. 567-582

Research output: Contribution to journalArticleScientificpeer-review

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)
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

2011

A mixture model with random-effects components for classifying sibling pairs

Martella, F., Vermunt, J. K., Beekman, M., Westendorp, R. G. J., Slagboom, P. E. & Houwing-Duistermaat, J. J., 2011, In : Statistics in Medicine. 30, 27, p. 3252-3264

Research output: Contribution to journalArticleScientificpeer-review

Dealing with extreme response style in cross-cultural research: A restricted latent class factor Analysis approach

Morren, M. H., Gelissen, J. P. T. M. & Vermunt, J. K., 2011, In : Sociological Methodology. 41, 1, p. 13-47

Research output: Contribution to journalArticleScientificpeer-review

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
65 Downloads (Pure)
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

2011

Measurement and description of underlying dimensions of comorbid mental disorders using Factor Mixture Models: Results on the ESEMeD project

Almansa, J., Vermunt, J. K., Forero, C. G., Vilagut, G., de Graaf, R., De Girolamo, G. & Alonso, J., 2011, In : International Journal of Methods in Psychiatric Research. 20, 2, p. 116-133

Research output: Contribution to journalArticleScientificpeer-review

2014

Short term memory development: Differences in serial position curves between age groups and latent classes

Koppenol, G. V., Bouwmeester, S. & Vermunt, J. K., 2014, In : Journal of Experimental Child Psychology. 126, p. 138-151

Research output: Contribution to journalArticleScientificpeer-review

2013

Exploring the response process of culturally differing survey respondents with a response style: A sequential mixed methods study

Morren, M. H., Gelissen, J. P. T. M. & Vermunt, J. K., 2013, In : Field Methods. 25, 2, p. 162-181

Research output: Contribution to journalArticleScientificpeer-review

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

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

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

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

2014

A factor mixture model for multivariate survival data: An application to the analysis of lifetime mental disorders

Almansa, J., Vermunt, J. K., Forero, C. G. & Alonso, J., 2014, In : Journal of the Royal Statistical Society, Series C. 63, p. 85-102

Research output: Contribution to journalArticleScientificpeer-review

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

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

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)
2017

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

2015

Stepwise latent class models for explaining group-level putcomes using discrete individual-level predictors

Bennink, M., Croon, M. A. & Vermunt, J. K., 2015, In : Multivariate Behavioral Research. 50, 6, p. 662-675

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

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
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

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

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

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

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

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

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

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

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

2011

K-means may perform as well as mixture model clustering but may also be much worse: Comment on Steinley and Brusco (2011)

Vermunt, J. K., 2011, In : Psychological Methods. 16, 1, p. 82-88

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
14 Downloads (Pure)

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

2015

Clustering financial time series: New insights from an extended hidden Markov model

Dias, J. G., Vermunt, J. K. & Ramos, S., 2015, In : European Journal of Operational Research. 243, 3, p. 852 - 864

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

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

2018
Open Access
File
8 Downloads (Pure)
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

2012

Exploring dynamics in mood regulation - mixture latent Markov modeling of ambulatory assessment data

Crayen, C., Eid, M., Lischetzke, T., Courvoisier, D. S. & Vermunt, J. K., 2012, In : Psychosomatic Medicine. 74, 4, p. 366-376

Research output: Contribution to journalArticleScientificpeer-review

Response strategies and response styles in cross-cultural surveys

Morren, M. H., Gelissen, J. P. T. M. & Vermunt, J. K., 2012, In : Cross-Cultural Research. 46, 3, p. 255-279

Research output: Contribution to journalArticleScientificpeer-review