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Dhr. dr. R.P.P.P. (Raoul) Grasman

Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Psychological Methods

  • Nieuwe Achtergracht 129
  • Kamernummer:0.35
  • Postbus 15906
    1001 NK Amsterdam
  • Publicaties


    • Liu, Y., Grasman, R. P. P. P., Wiers, R. W., Ridderinkhof, K. R., & van den Wildenberg, W. P. M. (2020). Moderate acute alcohol use impairs intentional inhibition rather than stimulus-driven inhibition. Psychological Research. https://doi.org/10.1007/s00426-020-01353-w
    • Wen, S., Larsen, H., Boffo, M., Grasman, R. P. P. P., Pronk, T., van Wijngaarden, J. B. G., & Wiers, R. W. (2020). Combining Web-Based Attentional Bias Modification and Approach Bias Modification as a Self-Help Smoking Intervention for Adult Smokers Seeking Online Help: Double-Blind Randomized Controlled Trial. JMIR Mental Health, 7(5), [e16342]. https://doi.org/10.2196/16342 [details]
    • de Mooij, S. M. M., Blanken, T. F., Grasman, R. P. P. P., Ramautar, J. R., Van Someren, E. J. W., & van der Maas, H. L. J. (2020). Dynamics of sleep: Exploring critical transitions and early warning signals. Computer Methods and Programs in Biomedicine, 193, [105448]. https://doi.org/10.1016/j.cmpb.2020.105448 [details]


    • Dutilh, G., Annis, J., Brown, S. D., Cassey, P., Evans, N. J., Grasman, R. P. P. P., Hawkins, G. E., Heathcote, A., Holmes, W. R., Krypotos, A-M., Kupitz, C. N., Leite, F. P., Lerche, V., Lin, Y-S., Logan, G. D., Palmeri, T. J., Starns, J. J., Trueblood, J. S., van Maanen, L., ... Donkin, C. (2019). The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models. Psychonomic Bulletin & Review, 26(4), 1051-1069. https://doi.org/10.3758/s13423-017-1417-2 [details]
    • Lodder, P., Ong, H. H., Grasman, R. P. P. P., & Wicherts, J. M. (2019). A comprehensive meta-analysis of money priming. Journal of Experimental Psychology: General, 148(4), 688-712. https://doi.org/10.1037/xge0000570 [details]


    • Dijk, C., van Emmerik, A. A. P., & Grasman, R. P. P. P. (2018). Social anxiety is related to dominance but not to affiliation as perceived by self and others: A real-life investigation into the psychobiological perspective on social anxiety. Personality and Individual Differences, 124, 66-70. https://doi.org/10.1016/j.paid.2017.11.050 [details]
    • van Bork, R., Grasman, R. P. P. P., & Waldorp, L. J. (2018). Unidimensional factor models imply weaker partial correlations than zero-order correlations. Psychometrika, 83(2), 443–452. https://doi.org/10.1007/s11336-018-9607-z [details]




    • Andraszewicz, S., Scheibehenne, B., Rieskamp, J., Grasman, R., Verhagen, J., & Wagenmakers, E-J. (2015). An introduction to Bayesian hypothesis testing for management research. Journal of Management, 41(2), 521-543. https://doi.org/10.1177/0149206314560412 [details]
    • Chow, S-M., Witkiewitz, K., Grasman, R. P. P. P., & Maisto, S. A. (2015). The cusp catastrophe model as cross-sectional and longitudinal mixture structural equation models. Psychological Methods, 20(1), 142-164. https://doi.org/10.1037/a0038962 [details]
    • Hamaker, E. L., Ceulemans, E., Grasman, R. P. P. P., & Tuerlinckx, F. (2015). Modeling Affect Dynamics: State of the Art and Future Challenges. Emotion Review, 7(4), 316-322. https://doi.org/10.1177/1754073915590619 [details]
    • Hamaker, E. L., Kuipers, R. M., & Grasman, R. P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20(1), 102-116. https://doi.org/10.1037/a0038889 [details]


    • Chow, S-M., Witkiewitz, K., Grasman, R., Hutton, R. S., & Maisto, S. A. (2014). A regime-switching longitudinal model of alcohol lapse-relapse. In P. C. M. Molenaar, R. M. Lerner, & K. M. Newell (Eds.), Handbook of developmental systems theory & methodology (pp. 397-424). New York: Guilford Press. [details]
    • Hamaker, E. L., & Grasman, R. P. P. P. (2014). To center or not to center? Investigating inertia with a multilevel autoregressive model. Frontiers in Psychology, 5, [1492]. https://doi.org/10.3389/fpsyg.2014.01492 [details]



    • Halpin, P. F., Dolan, C. V., Grasman, R. P. P. P., & de Boeck, P. (2011). On the relation between the linear factor model and the latent profile model. Psychometrika, 76(4), 564-583. https://doi.org/10.1007/s11336-011-9230-8 [details]
    • Weeda, W. D., Waldorp, L. J., Grasman, R. P. P. P., van Gaal, S., & Huizenga, H. M. (2011). Functional connectivity analysis of fMRI data using parameterized regions-of-interest. NeuroImage, 54(1), 410-416. https://doi.org/10.1016/j.neuroimage.2010.07.022 [details]
    • Weeda, W. D., de Vos, F., Waldorp, L. J., Grasman, R. P. P. P., & Huizenga, H. M. (2011). arf3DS4: an integrated framework for localization and connectivity analysis of fMRI data. Journal of Statistical Software, 44(14). [details]



    • Grasman, R. P. P. P., Wagenmakers, E-J., & van der Maas, H. L. J. (2009). On the mean and variance of response times under the diffusion model with an application to parameter estimation. Journal of Mathematical Psychology, 53(2), 55-68. https://doi.org/10.1016/j.jmp.2009.01.006 [details]
    • Grasman, R. P. P. P., van der Maas, H. L. J., & Wagenmakers, E-J. (2009). Fitting the cusp catastrophe in R: a cusp-package primer. Journal of Statistical Software, 32(8), 1-28. http://www.jstatsoft.org/v32/i08/paper [details]




    • Hamaker, E. L., Grasman, R. P. P. P., & Kamphuis, J. H. (2010). Regime-switching models to study psychological processes. In P. C. M. Molenaar, & K. M. Newell (Eds.), Individual pathways of change (pp. 155-168). Washington, DC: American Psychological Association. [details]



    • Grasman, R. (reviewer) (2013-2030). Journal of Open Psychology Data (Journal).
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