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Dylan Molenaar
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The poor availability of psychological research data for reanalysis.
JM Wicherts, D Borsboom, J Kats, D Molenaar
American psychologist 61 (7), 726, 2006
5352006
Willingness to share research data is related to the strength of the evidence and the quality of reporting of statistical results
JM Wicherts, M Bakker, D Molenaar
PloS one 6 (11), e26828, 2011
4162011
The emotional and cognitive effect of immersion in film viewing
VT Visch, ES Tan, D Molenaar
Cognition and Emotion 24 (8), 1439-1445, 2010
2892010
Cognitive psychology meets psychometric theory: on the relation between process models for decision making and latent variable models for individual differences.
HLJ van der Maas, D Molenaar, G Maris, RA Kievit, D Borsboom
Psychological review 118 (2), 339, 2011
1942011
Modeling differentiation of cognitive abilities within the higher-order factor model using moderated factor analysis
D Molenaar, CV Dolan, JM Wicherts, HLJ Van Der Maas
Intelligence 38 (6), 611-624, 2010
1142010
A bivariate generalized linear item response theory modeling framework to the analysis of responses and response times
D Molenaar, F Tuerlinckx, HLJ van der Maas
Multivariate Behavioral Research 50 (1), 56-74, 2015
732015
Are rumination and worry two sides of the same coin? A structural equation modelling approach
M Topper, D Molenaar, PMG Emmelkamp, T Ehring
Journal of Experimental Psychopathology 5 (3), 363-381, 2014
692014
A generalized linear factor model approach to the hierarchical framework for responses and response times
D Molenaar, F Tuerlinckx, HLJ van der Maas
British Journal of Mathematical and Statistical Psychology 68 (2), 197-219, 2015
642015
Nonsymbolic and symbolic magnitude comparison skills as longitudinal predictors of mathematical achievement
I Xenidou-Dervou, D Molenaar, D Ansari, M van der Schoot, ...
Learning and Instruction 50, 1-13, 2017
612017
Hidden Markov item response theory models for responses and response times
D Molenaar, D Oberski, J Vermunt, P De Boeck
Multivariate behavioral research 51 (5), 606-626, 2016
592016
Testing and modelling non‐normality within the one‐factor model
D Molenaar, CV Dolan, ND Verhelst
British Journal of Mathematical and Statistical Psychology 63 (2), 293-317, 2010
502010
The heteroscedastic graded response model with a skewed latent trait: Testing statistical and substantive hypotheses related to skewed item category functions
D Molenaar, CV Dolan, P De Boeck
Psychometrika 77, 455-478, 2012
392012
Fitting diffusion item response theory models for responses and response times using the R package diffIRT
D Molenaar, F Tuerlinckx, HLJ van der Maas
Journal of Statistical Software 66, 1-34, 2015
372015
Response moderation models for conditional dependence between response time and response accuracy
M Bolsinova, J Tijmstra, D Molenaar
British Journal of Mathematical and Statistical Psychology 70 (2), 257-279, 2017
362017
A semi‐parametric within‐subject mixture approach to the analyses of responses and response times
D Molenaar, M Bolsinova, JK Vermunt
British Journal of Mathematical and Statistical Psychology 71 (2), 205-228, 2018
352018
Response mixture modeling: Accounting for heterogeneity in item characteristics across response times
D Molenaar, P de Boeck
Psychometrika 83, 279-297, 2018
342018
Heteroscedastic latent trait models for dichotomous data
D Molenaar
Psychometrika 80, 625-644, 2015
342015
Differentiation of cognitive abilities in the WAIS-IV at the item level
D Molenaar, N Kő, S Rózsa, A Mészáros
Intelligence 65, 48-59, 2017
272017
Testing systematic genotype by environment interactions using item level data
D Molenaar, CV Dolan
Behavior genetics 44, 212-231, 2014
272014
Modeling ability differentiation in the second-order factor model
D Molenaar, CV Dolan, HLJ van der Maas
Structural Equation Modeling: A Multidisciplinary Journal 18 (4), 578-594, 2011
272011
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