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The Dynamics of Addiction: Craving versus Self-Control

Johan Grasman, Raoul P. P. P. Grasman, Han L. J. van der Maas, Andrey E Ryabinin
2016 PLoS ONE  
The proportionality constant p can be thought of as a psychological resilience parameter.  ...  Here we assume that both of these influences proportionally use up resource, thus, including the natural restauration process, we obtain the difference equation Sðt þ 1Þ ¼ SðtÞ þ p maxð0; S þ À SðtÞÞ À  ... 
doi:10.1371/journal.pone.0158323 pmid:27352037 pmcid:PMC4924855 fatcat:6yppv5rndzd73ac6h4ipzvmrcm

Transitions in Smoking Behaviour and the Design of Cessation Schemes

Johan Grasman, Raoul P. P. P. Grasman, Han L. J. van der Maas, Chris Bullen
2012 PLoS ONE  
The distribution of realizations of S at different times in the stationary state is given in [12] : p(S)~1 ffiffiffiffiffiffiffiffiffiffiffi ffi pe 2 =q p exp { q e 2 (S{S 0 ) 2 n o : Because of this  ... 
doi:10.1371/journal.pone.0047139 pmid:23071738 pmcid:PMC3469545 fatcat:52sk6swcqjcpviimzhsr3yjf3q

A critique of the cross-lagged panel model

Ellen L. Hamaker, Rebecca M. Kuiper, Raoul P. P. P. Grasman
2015 Psychological methods  
and q it (or-when the data are centered first-the observed scores), are modeled with the structural equations p it ϭ ␣ t p i,tϪ1 ϩ ␤ t q i,tϪ1 ϩ u it (1c) q it ϭ ␦ t q i,tϪ1 ϩ ␥ t p i,tϪ1 ϩ v it . ( 1d  ...  Subsequently these deviations are modeled as p it * ϭ ␣ t * p i,tϪ1 * ϩ ␤ t * q i,tϪ1 * ϩ u it * (3c) q it * ϭ ␦ t where the autoregressive and cross-lagged regression parameters differ from the ones in  ...  Focusing on the cross-lagged parameter ␥ t from p i,t-1 to q it , and making use of the fact that p i,t and q it are the group mean centered variables x it and y it , we can write In order to see how the  ... 
doi:10.1037/a0038889 pmid:25822208 fatcat:v4pfaylti5ajji56tvfjy4j4au

A Default Bayesian Hypothesis Test for ANOVA Designs

Ruud Wetzels, Raoul P. P. P. Grasman, Eric-Jan Wagenmakers
2012 American Statistician  
| M) Θ p(Y | θ, M)p(θ | M)dθ ∝ p(Y | θ, M)p(θ | M).  ...  When data Y come in, this prior distribution p(θ | M) is updated to yield the posterior distribution p(θ | Y , M) according to Bayes' rule: p(θ | Y , M) = p(Y | θ, M)p(θ | M) p(Y | M) = p(Y | θ, M)p(θ  ... 
doi:10.1080/00031305.2012.695956 fatcat:e3wjzmhgcfds7gg45tovrzb5kq

Fitting the Cusp Catastrophe inR: AcuspPackage Primer

Raoul P. P. P. Grasman, Han L. J. van der Maas, Eric-Jan Wagenmakers
2009 Journal of Statistical Software  
., w p , a 0 , . . . , a p , b 0 , . . . , b q .  ...  If we have a set of measured dependent variables Y 1 , Y 2 , . . . , Y p , to a first order approximation we may say y = w 0 + w 1 Y 1 + w 2 Y 2 + · · · + w p Y p , (5) where w 0 , w 1 , . . . , w p are  ... 
doi:10.18637/jss.v032.i08 fatcat:b4fvmdfwlvcgnlrgxf67zayqba

Piéron's Law and Optimal Behavior in Perceptual Decision-Making

Leendert van Maanen, Raoul P. P. P. Grasman, Birte U. Forstmann, Eric-Jan Wagenmakers
2012 Frontiers in Neuroscience  
AUTHOR NOTE Leendert van Maanen, Raoul Grasman, Birte Forstmann, and Eric-Jan Wagenmakers, Department of Psychology, University of Amsterdam.  ...  H i |D) = P(D|H i )P(H i ) j P(D|H j )P(H j ) , with H i the hypothesis that motion direction i generated the RDM stimulus and x 1 , . . ., x t ∈ D the observed motion directions over time.  ... 
doi:10.3389/fnins.2011.00143 pmid:22232572 pmcid:PMC3249387 fatcat:ky7x4awkorcrvegtpkwybriuki

To center or not to center? Investigating inertia with a multilevel autoregressive model

Ellen L. Hamaker, Raoul P. P. P. Grasman
2015 Frontiers in Psychology  
Raudenbush and Bryk, 2002 p. 141) . 4 , and these models are referred to as contextual models.  ...  However, Kreft et al. (1995) pointed out that the fixed effect within-cluster slope is still the same across these two models: That is, γ n 10 = γ c 10 = β W (see Kreft et al., 1995, p. 13) .  ... 
doi:10.3389/fpsyg.2014.01492 pmid:25688215 pmcid:PMC4310502 fatcat:2dvcx7t4snflvphg7dwlenbop4

A comprehensive meta-analysis of money priming

Paul Lodder, How Hwee Ong, Raoul P. P. P. Grasman, Jelte M. Wicherts
2019 Journal of experimental psychology. General  
. * p < 0.05 ** p < 0.01 *** p < 0.001 Nr.  ...  and p-curve.  ... 
doi:10.1037/xge0000570 pmid:30973262 fatcat:or3lfn63gfdbrnnxpj3z3iue6y

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

Yang Liu, Raoul P. P. P. Grasman, Reinout W. Wiers, K. Richard Ridderinkhof, Wery P. M. van den Wildenberg
2020 Psychological Research  
0.69, 95% CI (0.42, 1.14), p = 0.15].  ...  The interaction between time point and group was non-significant [F (2, 142) = 0.02, p = 0.98]. vs. 242 ms (60), F (1, 49) = 5.67, p = 0.02, η 2 = 0.10].  ... 
doi:10.1007/s00426-020-01353-w pmid:32430540 fatcat:ejbd26yq7fcntprthal3yfqjyy

An EZ-diffusion model for response time and accuracy

Eric-Jan Wagenmakers, Han L. J. Van Der Maas, Raoul P. P. P. Grasman
2007 Psychonomic Bulletin & Review  
., P c ).  ...  Amy's and Rich's performance is summarized by MRT 0.422 sec, P c .881, and MRT 0.467 sec, P c .953, respectively. Amy responds faster than Rich, but she also commits more errors.  ...  diffusion process (Wagenmakers, Grasman, & Molenaar, 2005) .  ... 
doi:10.3758/bf03194023 pmid:17546727 fatcat:3belhsd4uvf3rbyfwodvnkleei

Unidimensional factor models imply weaker partial correlations than zero-order correlations [article]

Riet van Bork, Raoul P. P. P. Grasman, Lourens J. Waldorp
2016 arXiv   pre-print
Z = [z 1 , z 2 , . . . , z p−2 ] T , denoting all other p−2 variables that load on the same common factor as Y .  ...  That is, the model implied partial correlations are a function of the model implied precision matrix,P =Σ −1 (Whittaker, 1990) : ρ ij · Z = −p ij p iipjj (17) In this paper we showed that if the model  ... 
arXiv:1610.03375v2 fatcat:mqcam4m3inep7i2urhnkf4rlfy

EZ does it! Extensions of the EZ-diffusion model

Eric-Jan Wagenmakers, Han L. J. van der Maas, Conor V. Dolan, Raoul P. P. P. Grasman
2008 Psychonomic Bulletin & Review  
Thus, for old and new words in a recognition memory task for example, the extended model takes as input P old c , P new c , V RT old , V RT new , M RT old , and M RT new , and returns as output estimates  ...  Contaminant proportion p Although these programs should be used whenever possible-something that Dr.  ...  Finally, Robust EZ uses M RT EG , V RT EG , and P c to determine drift rate, boundary separation, and nondecision time, as per Equations 5-9 in Wagenmakers et al. (2007) .  ... 
doi:10.3758/pbr.15.6.1229 pmid:19001594 fatcat:rxrkyawarbaovj2bge3fihjmte

On the Relation Between the Linear Factor Model and the Latent Profile Model

Peter F. Halpin, Conor V. Dolan, Raoul P. P. P. Grasman, Paul De Boeck
2011 Psychometrika  
μ X having elements μ X i = μ i and covariance matrix Σ X having elements σ X i X j = σ ij , for i, j ∈ {1, . . . , P }.  ...  Model Specification We assume that the continuous latent distributions of both models are Gaussian and write f X (x; μ X , Σ X ) to denote the density of a Gaussian random variable X ∈ R P with mean vector  ...  Appendix: Derivation of Excess Multivariate Kurtosis of SLP-2 from LP-2 We obtain Equation (11) through the central moments of a P -dimensional, K-component Gaussian mixture.  ... 
doi:10.1007/s11336-011-9230-8 pmid:27519681 fatcat:w4ctxie32becncp7itj5nmz46e

What's in a Name: A Bayesian Hierarchical Analysis of the Name-Letter Effect

Oliver Dyjas, Raoul P. P. P. Grasman, Ruud Wetzels, Han L. J. van der Maas, Eric-Jan Wagenmakers
2012 Frontiers in Psychology  
.; Grasman, R.P.P.P.; Wetzels, R.M.; van der Maas, H.L.J.; Wagenmakers, E.M.  ...  ACKNOWLEDGMENTS This research was supported by Veni and Vidi grants from the Dutch Organization for Scientific Research (NWO) to Raoul Grasman and Eric-Jan Wagenmakers.  ...  [i.e., p(H 0 |D)/p(H 1 |D)].  ... 
doi:10.3389/fpsyg.2012.00334 pmid:23055989 pmcid:PMC3457077 fatcat:pil3gwve6jatjn6du6mzdhr63i

Hidden multiplicity in exploratory multiway ANOVA: Prevalence and remedies

Angélique O. J. Cramer, Don van Ravenzwaaij, Dora Matzke, Helen Steingroever, Ruud Wetzels, Raoul P. P. P. Grasman, Lourens J. Waldorp, Eric-Jan Wagenmakers
2015 Psychonomic Bulletin & Review  
Next, one starts by evaluating the first (smallest) p value (p (1) ) against the adjusted α (α adj ), which is-for the first p value-equal to α divided by k.  ...  Next, one starts by evaluating the last (largest) p value (p (k) ) against the adjusted α (α adj ), which is-for the last p value-equal to k divided by m times α.  ... 
doi:10.3758/s13423-015-0913-5 pmid:26374437 pmcid:PMC4828473 fatcat:djthfgyrpzamjgxhipmavcqjji
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