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The Dynamics of Addiction: Craving versus Self-Control
2016
PLoS ONE
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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
2012
PLoS ONE
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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
2015
Psychological methods
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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
2012
American Statistician
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| 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
2009
Journal of Statistical Software
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., 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
2012
Frontiers in Neuroscience
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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
2015
Frontiers in Psychology
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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
2019
Journal of experimental psychology. General
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. * 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
2020
Psychological Research
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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
2007
Psychonomic Bulletin & Review
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., 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]
2016
arXiv
pre-print
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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
2008
Psychonomic Bulletin & Review
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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
2011
Psychometrika
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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
2012
Frontiers in Psychology
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.; 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. www.frontiersin.org ...
[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
2015
Psychonomic Bulletin & Review
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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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