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Jeroen K. Vermunt

Jeroen K. Vermunt

D-Index & Metrics

Social Sciences and Humanities

D-Index
67
Citations
19843
World Ranking
897
National Ranking
35

Overview

Jeroen K. Vermunt is affiliated with Tilburg University in the Netherlands. Their research primarily spans the field of Psychology, with significant contributions to related subfields including Statistics and Probability, Experimental and Cognitive Psychology, Clinical Psychology, Management Science and Operations Research, and Sociology and Political Science.

The main topics covered in their work involve Mental Health Research Topics, Statistical Methods and Bayesian Inference, Psychometric Methodologies and Testing, Statistical Methods and Inference, Advanced Statistical Modeling Techniques, Behavioral Health and Interventions, and Psychopathy, Forensic Psychiatry, Sexual Offending.

Jeroen K. Vermunt has published research in several prominent academic venues. These include:

  • Structural Equation Modeling A Multidisciplinary Journal
  • Behavior Research Methods
  • Psychological Methods
  • Frontiers in Psychology
  • Multivariate Behavioral Research

Among recent publications credited to Jeroen K. Vermunt are:

  • "Latent class analysis" (2022), published in Elsevier eBooks
  • "How to Perform Three-Step Latent Class Analysis in the Presence of Measurement Non-Invariance or Differential Item Functioning" (2020), published in Structural Equation Modeling A Multidisciplinary Journal

Frequent co-authors with whom Jeroen K. Vermunt has collaborated include:

  • Kim De Roover
  • Jesper Tijmstra
  • Felix J. Clouth
  • Steffen Pauws
  • Leonie V. D. E. Vogelsmeier

Best Publications

  • Latent Class Modeling with Covariates: Two Improved Three-Step Approaches

    Jeroen K. Vermunt

  • A Poisson log-bilinear regression approach to the construction of projected lifetables

    Natacha Brouhns;Michel Denuit;Jeroen K. Vermunt

  • Latent class models for clustering : a comparison with K-means

    J. Magidson;J.K. Vermunt

  • Robustness of Stepwise Latent Class Modeling With Continuous Distal Outcomes

    Zsuzsa Bakk;Jeroen K. Vermunt

  • Estimating the Association between Latent Class Membership and External Variables Using Bias-adjusted Three-step Approaches

    Zsuzsa Bakk;Fetene B. Tekle;Jeroen K. Vermunt

  • The GRoLTS-Checklist: Guidelines for Reporting on Latent Trajectory Studies

    Rens van de Schoot;Marit Sijbrandij;Sonja D. Winter;Sarah Depaoli

  • Multilevel Latent Class Models

    Jeroen K. Vermunt

  • Latent Class Models

    J.K. Vermunt

  • Latent Class Factor and Cluster Models, Bi-Plots, and Related Graphical Displays

    Jay Magidson;Jeroen K. Vermunt

  • Measuring exposure to bullying at work: The validity and advantages of the latent class cluster approach

    Guy Notelaers;Stale Einarsen;Hans De Witte;Jeroen K. Vermunt

  • Latent class analysis

    J.K. Vermunt;J. Magidson;M. Lewis-Beck;A. Bryman

  • Composing Group-Level Constructs From Individual-Level Survey Data

    Heleen van Mierlo;Jeroen K. Vermunt;Christel G. Rutte

  • Cultural classifications under discussion latent class analysis of highbrow and lowbrow reading

    Kees van Rees;Jeroen Vermunt;Marc Verboord

  • Clusters of lifestyle behaviors : Results from the Dutch SMILE study

    H. de Vries;J.P. Van 't Riet;M.G. Spigt;J.F.M. Metsemakers

  • Discrete-Time Discrete-State Latent Markov Models with Time-Constant and Time-Varying Covariates

    Jeroen K. Vermunt;Rolf Langeheine;Ulf Bockenholt

  • Country and consumer segmentation: Multi-level latent class analysis of financial product ownership

    Tammo H.A. Bijmolt;Leo J. Paas;Jeroen K. Vermunt

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

    Tessa F Blanken;Tessa F Blanken;Jeroen S Benjamins;Jeroen S Benjamins;Denny Borsboom;Jeroen K Vermunt

  • THE SIMULTANEOUS DECISION(S) ABOUT THE NUMBER OF LOWER- AND HIGHER-LEVEL CLASSES IN MULTILEVEL LATENT CLASS ANALYSIS

    Olga Lukočienė;Roberta Varriale;Jeroen K. Vermunt

  • Measuring the longevity risk in mortality projections

    Natacha Brouhns;Michel Denuit;Jeroen K. Vermunt

  • MULTIPLE IMPUTATION OF INCOMPLETE CATEGORICAL DATA USING LATENT CLASS ANALYSIS

    Jeroen K. Vermunt;Joost R. van Ginkel;L. Andries van der Ark;Klaas Sijtsma

  • What is special about social network analysis

    van Marijtje Duijn;J.K. Vermunt

  • Additional Information: The GRoLTS-checklist: Guidelines for Reporting on Latent Trajectory Studies

    Rens van de Schoot;Marit Sijbrandij;Sonja Désirée Winter;Sarah Depaoli

Frequent Co-Authors

Guy Notelaers
Guy Notelaers University of Bergen
Hans De Witte
Hans De Witte KU Leuven
Klaas Sijtsma
Klaas Sijtsma Tilburg University
Wim Meeus
Wim Meeus Utrecht University
Marco P. Boks
Marco P. Boks University of Amsterdam
Louis Tay
Louis Tay Purdue University West Lafayette
Theo A. Klimstra
Theo A. Klimstra Tufts University
Matthijs Kalmijn
Matthijs Kalmijn University of Groningen
Ståle Einarsen
Ståle Einarsen University of Bergen
Susan Branje
Susan Branje Utrecht University

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