| The poor availability of psychological research data for reanalysis. JM Wicherts, D Borsboom, J Kats, D Molenaar American psychologist 61 (7), 726, 2006 | 535 | 2006 |
| 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 | 416 | 2011 |
| The emotional and cognitive effect of immersion in film viewing VT Visch, ES Tan, D Molenaar Cognition and Emotion 24 (8), 1439-1445, 2010 | 289 | 2010 |
| 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 | 194 | 2011 |
| 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 | 114 | 2010 |
| 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 | 73 | 2015 |
| 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 | 69 | 2014 |
| 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 | 64 | 2015 |
| 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 | 61 | 2017 |
| 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 | 59 | 2016 |
| 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 | 50 | 2010 |
| 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 | 39 | 2012 |
| 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 | 37 | 2015 |
| 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 | 36 | 2017 |
| 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 | 35 | 2018 |
| Response mixture modeling: Accounting for heterogeneity in item characteristics across response times D Molenaar, P de Boeck Psychometrika 83, 279-297, 2018 | 34 | 2018 |
| Heteroscedastic latent trait models for dichotomous data D Molenaar Psychometrika 80, 625-644, 2015 | 34 | 2015 |
| 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 | 27 | 2017 |
| Testing systematic genotype by environment interactions using item level data D Molenaar, CV Dolan Behavior genetics 44, 212-231, 2014 | 27 | 2014 |
| 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 | 27 | 2011 |
