V. Schmittmann

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The Small World of Psychopathology

Verena D. Schmittmann, Denny Borsboom, Sacha Epskamp, 2011, PloS one.

Deconstructing the construct: A network perspective on psychological phenomena

D. Borsboom, S. Epskamp, R. Kievit, 2013 .

Statistical power of likelihood ratio and Wald tests in latent class models with covariates

Verena D. Schmittmann, Jeroen K. Vermunt, J. Vermunt, 2016, Behavior Research Methods.

Regime Switching in the Latent Growth Curve Mixture Model

Verena D. Schmittmann, Michael C. Neale, Gitta H. Lubke, 2005 .

The 20-Minute Version as a Predictor of the Raven Advanced Progressive Matrices Test

Verena D. Schmittmann, R. Hamel, V. Schmittmann, 2006 .

Tracing the Development of Typewriting Skills in an Adaptive E-Learning Environment

Abe D. Hofman, H.L.J. van der Maas, V. Schmittmann, 2015, Perceptual and motor skills.

Power Computation for Likelihood Ratio Tests for the Transition Parameters in Latent Markov Models

Verena D. Schmittmann, Jeroen K. Vermunt, J. Vermunt, 2016 .

Building latent class trees, with an application to a study of social capital

J. Vermunt, V. Schmittmann, M. V. D. Bergh, 2017 .

Costs and benefits of automatization in category learning of ill-defined rules

M. Raijmakers, I. Visser, V. Schmittmann, 2014, Cognitive Psychology.

Developmental Psychology

G. Ramakers, I. Visser, M. Huizinga, 2008 .

Qgraph: Network visualizations of relationships in psychometric data

Verena D. Schmittmann, Denny Borsboom, Sacha Epskamp, 2012 .

Perceived causal relations between anxiety, posttraumatic stress and depression: extension to moderation, mediation, and network analysis

D. Borsboom, P. Frewen, V. Schmittmann, 2013, European journal of psychotraumatology.

Power Analysis Methods for Tests in Latent Class and Latent Markov Models

Verena D. Schmittmann, Jeroen K. Vermunt, Dereje W. Gudicha, 2012 .

Making Large-Scale Networks from fMRI Data

Verena D. Schmittmann, Denny Borsboom, Lourens J. Waldorp, 2015, PloS one.

Distinct discrimination learning strategies and their relation with spatial memory and attentional control in 4- to 14-year-olds.

Han L J van der Maas, H.L.J. van der Maas, M. Raijmakers, 2012, Journal of experimental child psychology.

UvA-DARE ( Digital Academic Repository ) The small world of psychopathology

D. Borsboom, S. Epskamp, L. Waldorp, 2011 .

Discrete Latent Markov Models for Normally Distributed Response Data

Conor V Dolan, Han L J van der Maas, Michael C Neale, 2005, Multivariate behavioral research.

Power Analysis for the Likelihood-Ratio Test in Latent Markov Models: Shortcutting the Bootstrap p-Value-Based Method

J. Vermunt, V. Schmittmann, D. Gudicha, 2015, Multivariate behavioral research.

Multiple learning modes in the development of performance on a rule-based category-learning task

Verena D. Schmittmann, Maartje E. J. Raijmakers, Ingmar Visser, 2006, Neuropsychologia.

Transdiagnostic Networks

D. Borsboom, S. Epskamp, R. Kievit, 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.

Development of reversal shift learning. An individual differences analysis

M. Raijmakers, V. Schmittmann, 2007, 2007 IEEE 6th International Conference on Development and Learning.

Science Perspectives on Psychological Transdiagnostic Networks : Commentary on Nolen-hoeksema and Watkins (2011) on Behalf Of: Association for Psychological Science

D. Borsboom, S. Epskamp, R. Kievit, 2022 .

Computing Assortative Mixing by Degree with the s-Metric in Networks Using Linear Programming

Verena D. Schmittmann, Lourens J. Waldorp, L. Waldorp, 2015, J. Appl. Math..

Markov process models for discrimination learning

Verena D. Schmittmann, Maartje E. J. Raijmakers, Ingmar Visser, 2007 .

Who Needs Linear Equating Under the NEAT Design?

D. Borsboom, G. Maris, V. Schmittmann, 2010 .

qgraph : Network Visualizations of Relationships in Psychometric Data

D. Borsboom, S. Epskamp, L. Waldorp, 2012 .

Parameter identification in multinomial processing tree models

M. Raijmakers, W. Batchelder, C. Dolan, 2010, Behavior research methods.