Research Output 1994 2020

Measuring temporary employment: Do survey or register data tell the truth?

Pavlopoulos, D. P. & Vermunt, J. K., 2015, In : Survey Methodology. 41, 1, p. 197-214

Research output: Contribution to journalArticleScientificpeer-review

Measurement errors
Measurement Error
Personnel
Hidden Markov models
Markov Model
101 Downloads (Pure)

Measuring the ability of transitive reasoning, using product and strategy information

Bouwmeester, S. & Sijtsma, K., 2004, In : Psychometrika. 69, 1, p. 123-146

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
577 Downloads (Pure)

Measuring the longevity risk in mortality projections

Brouhns, N., Denuit, M. & Vermunt, J. K., 2002, In : Bulletin of the Swiss Association of Actuaries. 2, p. 105-130

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

Mediating role of self-determination constructs in explaining the relationship between school factors and postschool outcomes

Shogren, K. A., Villarreal, M. G., Lang, K. M. & Seo, H., 2017, In : Exceptional Children. 83, 2, p. 165-180

Research output: Contribution to journalArticleScientificpeer-review

Memory bias in retrospectively collected employment careers: A model-based approach to correct for measurement error

Manzoni, A., Vermunt, J. K., Luijkx, R. & Muffels, R. J. A., 2010, In : Sociological Methodology. 40, 1, p. 39-73

Research output: Contribution to journalArticleScientificpeer-review

123 Downloads (Pure)

Mental disorders as complex networks: An introduction and overview of a network approach to psychopathology

Nuijten, M. B., Deserno, M. K., Cramer, A. O. J. & Borsboom, D., 2016, In : Clinical Neuropsychiatry. 13, 4/5, p. 68-76

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
31 Downloads (Pure)

Mental disorders as networks of problems: A review of recent insights

Fried, E. I., van Borkulo, C. D., Cramer, A. O. J., Boschloo, L., Schoevers, R. A. & Borsboom, D., Jan 2017, In : Social Psychiatry and Psychiatric Epidemiology. 52, 1, p. 1-10

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
mental disorder
Comorbidity
Precision Medicine
comorbidity
development of methods
71 Downloads (Pure)

Mental health recovery: Evaluation of a recovery-oriented training program

Wilrycx, G. K. M. L., Croon, M. A., van den Broek, A. & van Nieuwenhuizen, C., 2012, In : The Scientific World Journal. 2012, 820846.

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
38 Downloads (Pure)
Open Access
File

Meta-analysis of associations between human brain volume and intelligence differences: How strong are they and what do they mean?

Pietschnig, J., Penke, L., Wicherts, J. M., Zeiler, M. & Voracek, M., 2015, In : Neuroscience and Biobehavioral Reviews. 57, p. 411–432

Research output: Contribution to journalArticleScientificpeer-review

Publication Bias
Proxy
Communication

Meta-analysis of psychological treatments for posttraumatic stress disorder in adult survivors of childhood abuse

Ehring, T., Welboren, R., Morina, N., Wicherts, J. M., Freitag, J. & Emmelkamp, P. M. G., 2014, In : Clinical Psychology Review. 34, 8, p. 645-657

Research output: Contribution to journalArticleScientificpeer-review

Meta-analysis using effect size distributions of only statistically significant studies

van Assen, M. A. L. M., van Aert, R. C. M. & Wicherts, J. M., 2015, In : Psychological Methods. 20, 3, p. 293-309

Research output: Contribution to journalArticleScientificpeer-review

Publication Bias

Methoden voor de maatschappijwetenschappen

Segers, J. H. G., 1999, Assen: Koninklijke Van Gorcum BV.

Research output: Book/ReportBookScientific

Methodological artifacts in dimensionality assessment of the Hospital Anxiety and Depression Scale (HADS)

Straat, J. H., van der Ark, L. A. & Sijtsma, K., 2013, In : Journal of Psychosomatic Research. 74, 2, p. 116-121

Research output: Contribution to journalArticleScientificpeer-review

Artifacts
Depression
data analysis
behavioral research
model analysis
equivalence
social research
34 Downloads (Pure)

Methodology review: Nonparametric IRT approaches to the analysis of dichotomous item scores

Sijtsma, K., 1998, In : Applied Psychological Measurement. 22, 1, p. 3-31

Research output: Contribution to journalArticleScientificpeer-review

File
150 Downloads (Pure)

Methodology review: Evaluating person fit

Meijer, R. R. & Sijtsma, K., 2001, In : Applied Psychological Measurement. 25, 2, p. 107-135

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
8 Downloads (Pure)

Methods for estimating item-score reliability

Zijlmans, E. A. O., van der Ark, L. A., Tijmstra, J. & Sijtsma, K., 2018, In : Applied Psychological Measurement. 42, 7, p. 553-570

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
simulation
human being
trend

Micro-macro links and microfoundations in sociology

Raub, W., Buskens, V. & van Assen, M. A. L. M., 2011, In : Journal of Mathematical Sociology. 35, 1-3, p. 1-25

Research output: Contribution to journalArticleScientificpeer-review

791 Downloads (Pure)

Micro-macro multilevel analysis for discrete data

Bennink, M., 2014, Ridderkerk: Ridderprint. 108 p.

Research output: ThesisDoctoral Thesis

Open Access
File

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

data network
multi-level analysis
simulation
aggregation
marriage
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

Micro-marco links and microfoundations in sociology

Buskens, V. (ed.), Raub, W. (ed.) & van Assen, M. A. L. M. (ed.), 2011, London, New York: Routledge/Taylor Francis. 248 p.

Research output: Book/ReportBook editingScientific

Middle school effects of the Dating Matters® comprehensive teen dating violence prevention model on physical violence, bullying, and cyberbullying: A cluster-randomized controlled trial

Vivolo-kantor, A. M., Niolon, P. H., Estefan, L. F., Le, V. D., Tracy, A. J., Latzman, N. E., Little, T. D., Lang, K. M., Degue, S. & Tharp, A. T., 2020, In : Prevention Science.

Research output: Contribution to journalArticleScientificpeer-review

Crime Victims

Minimum sample size requirements for Mokken scale analysis

Straat, J. H., van der Ark, L. A. & Sijtsma, K., 2014, In : Educational and Psychological Measurement. 74, p. 809-822

Research output: Contribution to journalArticleScientificpeer-review

selection procedure
Sample Size
Genetic algorithms
Selection Procedures
Requirements

Misclassification Phenomena in Categorical Data Analysis: Regression toward the Mean and Tendency toward the Mode

Hagenaars, J. A. P., 2005, New Developments in Categorical Data Analysis for the Social and Behavioral Sciences. van der Ark, A., Croon, M. A. & Sijtsma, K. (eds.). London: Lawrence Erlbaum, p. 15-40 261 p.

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

Mixture hidden Markov models in finance research

Dias, J. G., Vermunt, J. K. & Ramos, S., 2010, Advances in data analysis, data handling and business intelligence. Fink, A., Lausen, B., Seidel, W. & Ultsch, A. (eds.). Berlin-Heidelberg: Springer, p. 451-459

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

Mixture model

Vermunt, J. K., 2004, The Sage encyclopedia of social sciences research methods. Lewis-Beck, M. S., Bryman, A. & Liao, T. F. (eds.). Thousand Oakes: Sage, p. 653 1524 p.

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

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

Mixture models: Latent profile and latent class analysis

Oberski, D. L., 2016, Modern statistical methods for HCI. Robertson, J. & Kaptein, M. (eds.). Springer, p. 275-287 ( Human–Computer Interaction Series).

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

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

Mixture models for multilevel data sets

Vermunt, J. K., 2010, Handbook of advanced multilevel analysis. Hox, J. & Roberts, J. K. (eds.). New York: Routledge, p. 59-81

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

15 Downloads (Pure)

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
simultaneous analysis
Latent Variables
Factor analysis
Factor Analysis
factor analysis

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

Structural Equation Model
Gene Expression Data
Microarray Data
Model-based
Cluster Analysis

Modeling conditional dependence between response time and accuracy

Bolsinova, M., de Boeck, P. & Tijmstra, J., 2017, In : Psychometrika. 82, 4, p. 1126-1148

Research output: Contribution to journalArticleScientificpeer-review

Response Time
Modeling
Conditional Independence
Intercept
Discrimination

Modeling differences between response times of correct and incorrect responses

Bolsinova, M. & Tijmstra, J., 2019, In : Psychometrika. 84, 4, p. 1018-1046

Research output: Contribution to journalArticleScientificpeer-review

Modeling differences in test-taking motivation: Exploring the usefulness of the mixture Rasch model and person-fit statistics

Mittelhaëuser, M., Beguin, A. A. & Sijtsma, K., 2013, New developments in quantitative psychology. Presentations from the 77th Annual Psychometric Society Meeting. Millsap, R. E., Bolt, D. M., van der Ark, L. A. & Woods, C. M. (eds.). New York: Springer, p. 357-370

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

12 Downloads (Pure)

Modeling interactions between latent variables in research on Type D personality: A Monte Carlo simulation and clinical study of depression and anxiety

Lodder, P., Denollet, J., Emons, W. H. M., Nefs, G., Pouwer, F., Speight, J. & Wicherts, J. M., 2019, In : Multivariate Behavioral Research. 54, 5, p. 637-665

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File
149 Downloads (Pure)

Modeling joint and marginal distributions in the analysis of categorical panel data

Vermunt, J. K., Rodrigo, M. F. & Ato-Garcia, M., 2001, In : Sociological Methods and Research. 30, 2, p. 170-196

Research output: Contribution to journalArticleScientificpeer-review

Open Access
File

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
112 Downloads (Pure)

Modeling psychological attributes: Merits and drawbacks of taxometrics and latent variable mixture models

Hillen, R., 2017, S.l.: [s.n.]. 133 p.

Research output: ThesisDoctoral Thesis

Open Access
File
24 Downloads (Pure)

Modeling the effect of differential motivation on linking educational tests

Keizer-Mittelhaëuser, M-A., 2014, S.l.: [s.n.]. 105 p.

Research output: ThesisDoctoral Thesis

Open Access
File
Social networks
Modeling
Interaction
Electronic mail
Network dynamics

Modello multilevel a classi latenti: Estensione al modello multidimensionale

Del Giovane, C., 2008, Bologna: [n.n.]. 122 p.

Research output: ThesisDoctoral Thesis

Model selection in principal covariates regression

Vervloet, M., Van Deun, K., van den Noortgate, W. & Ceulemans, E., 2016, In : Chemometrics & Intelligent Laboratory Systems. 151, p. 26-33

Research output: Contribution to journalArticleScientificpeer-review

Recovery

Models of the welfare state

Arts, W. A. & Gelissen, J. P. T. M., 2010, The Oxford Handbook of the Welfare State. Castles, F. G., Leibfried, S., Lewis, J., Obinger, H. & Pierson, C. (eds.). Oxford: Oxford University Press, p. 569-583 912 p. (Oxford Handbooks in Politics & International Relations).

Research output: Chapter in Book/Report/Conference proceedingChapterScientific

Modern statistical methods for HCI

Robertson, J. (ed.) & Kaptein, M. C. (ed.), 2016, Springer. 348 p. (Human–Computer Interaction Series)

Research output: Book/ReportBook editingScientificpeer-review

Mokken (version 2.0): A R package for Mokken scale analysis

van der Ark, L. A., 2009

Research output: Non-textual formSoftwareOther research output

Mokken models

Sijtsma, K. & Molenaar, I. W., 2016, Handbook of item response theory: Vol.1. Models. van der Linden, W. J. & Hambleton, R. K. (eds.). Boca Raton, FL: Chapman & Hall/CRC, p. 303-321

Research output: Chapter in Book/Report/Conference proceedingChapterScientific