| The poor availability of psychological research data for reanalysis. JM Wicherts, D Borsboom, J Kats, D Molenaar American psychologist 61 (7), 726, 2006 | 596 | 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 | 463 | 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 | 331 | 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 | 223 | 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 | 125 | 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 | 88 | 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 | 77 | 2014 |
| Methods to split cognitive task data for estimating split-half reliability: A comprehensive review and systematic assessment T Pronk, D Molenaar, RW Wiers, J Murre Psychonomic Bulletin & Review 29 (1), 44-54, 2022 | 74 | 2022 |
| 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 | 73 | 2016 |
| 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 | 73 | 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 | 68 | 2017 |
| An academic survey on theoretical foundations, common assumptions and the current state of consciousness science JC Francken, L Beerendonk, D Molenaar, JJ Fahrenfort, JD Kiverstein, ... Neuroscience of consciousness 2022 (1), niac011, 2022 | 54 | 2022 |
| 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 |
| 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 | 49 | 2015 |
| Response mixture modeling: Accounting for heterogeneity in item characteristics across response times D Molenaar, P De Boeck Psychometrika 83, 279-297, 2018 | 47 | 2018 |
| 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 | 47 | 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 | 45 | 2018 |
| 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 | 43 | 2012 |
| Conditional dependence between response time and accuracy: An overview of its possible sources and directions for distinguishing between them M Bolsinova, J Tijmstra, D Molenaar, P De Boeck Frontiers in psychology 8, 236022, 2017 | 41 | 2017 |
| Heteroscedastic latent trait models for dichotomous data D Molenaar Psychometrika 80, 625-644, 2015 | 41 | 2015 |
