Raoul P P P Grasman

Dados Biográficos

ID8867912
NOMERaoul P P P Grasman
PRENOMESRaoul P P P
SOBRENOMEGrasman
ASSINATURAGRASMAN R P P P
AFILIAÇÕESUniversity of Amsterdam
ORCID0000-0001-7458-1272
VERIFICADOSim
TOTAL DE OBRAS6
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR6
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2006
ANO MAIS RECENTE DE PUBLICAÇÃO2025
ÍNDICE H0

  • Moderate acute alcohol use impairs intentional inhibition rather than stimulus-driven inhibition

    Open AccessYang Liu, Raoul P P P Grasman et al.ARTICLEPsychological Research2021

    Moderate alcohol intake may impair stimulus-driven inhibition of motor actions in go/no-go and stop-signal tasks. Exposure to alcohol-related cues has been found to exacerbate this impairment. By contrast, the effect of alcohol use on intentional inhibition, or the capacity to voluntarily suspend an action, has rarely been investigated. We examined whether and how moderate alcohol intake affects stimulus-driven inhibition (stop-signal task) and i…

  • A Comparison of Inverse-Wishart Prior Specifications for Covariance Matrices in Multilevel Autoregressive Models

    Open AccessNoémi Katalin Schuurman, Raoul P P P Grasman et al.ARTICLEMultivariate Behavioral Research2016

    Multilevel autoregressive models are especially suited for modeling between-person differences in within-person processes. Fitting these models with Bayesian techniques requires the specification of prior distributions for all parameters. Often it is desirable to specify prior distributions that have negligible effects on the resulting parameter estimates. However, the conjugate prior distribution for covariance matrices-the Inverse-Wishart distr…

  • A critique of the cross-lagged panel model.

    Ellen L Hamaker, Rebecca M Kuiper et al.ARTICLEPsychological Methods2015

    The cross-lagged panel model (CLPM) is believed by many to overcome the problems associated with the use of cross-lagged correlations as a way to study causal influences in longitudinal panel data. The current article, however, shows that if stability of constructs is to some extent of a trait-like, time-invariant nature, the autoregressive relationships of the CLPM fail to adequately account for this. As a result, the lagged parameters that are …

  • Bayesian hypothesis testing for psychologists

    Open AccessEric-Jan Wagenmakers, Tom Lodewyckx et al.ARTICLECognitive Psychology2010

  • A dynamical model of general intelligence

    Han L J Van Der Maas, Conor V Dolan et al.ARTICLEPsychological Review2006

    Scores on cognitive tasks used in intelligence tests correlate positively with each other, that is, they display a positive manifold of correlations. The positive manifold is often explained by positing a dominant latent variable, the g factor, associated with a single quantitative cognitive or biological process or capacity. In this article, a new explanation of the positive manifold based on a dynamical model is proposed, in which reciprocal ca…

  • Autoencoders for Amortized Joint Maximum Likelihood Estimation of Confirmatory Item Factor Models

    Dylan Molenaar, Raoul P P P Grasman et al.

    Neural networks like variational autoencoders have been proposed as a statistical tool to fit item factor models to data. Advantages are that high dimensional models can be estimated more efficiently as compared to conventional approaches. In this study, we demonstrate advantages of a specific autoencoder as a tool for amortized joint maximum likelihood estimation of item factor models. Contrary to contemporary joint maximum likelihood estimation…