PsycEXTRA Dataset 2013
DOI: 10.1037/e513702014-021
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The CRT, system 2, reflection-impulsivity, and actively open-minded thinking

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Cited by 7 publications
(9 citation statements)
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“…Also, people with higher working memory capacity, which provides the necessary cognitive resources for cognitive deliberation, prefer utilitarian solutions for moral dilemmas (Moore et al, 2008 ). People who perform better on cognitive reflection task, which assesses individual's propensity to distrust intuitions in favor of reflective and deliberative processes, also prefer utilitarian solutions (Paxton et al, 2012 , 2013 ; Baron, 2013 ; but see Royzman et al, in press ). Disrupting cognitive processing by imposing cognitive load or by using noninvasive brain stimulation technique makes participants either slow down while endorsing utilitarian solutions (Greene et al, 2008 ) or makes it less likely that they will endorse utilitarian solutions (Trémolière et al, 2012 ; Conway and Gawronski, 2013 ; Jeurissen et al, 2014 ; but see Tassy et al, 2012 ).…”
Section: Introductionmentioning
confidence: 99%
“…Also, people with higher working memory capacity, which provides the necessary cognitive resources for cognitive deliberation, prefer utilitarian solutions for moral dilemmas (Moore et al, 2008 ). People who perform better on cognitive reflection task, which assesses individual's propensity to distrust intuitions in favor of reflective and deliberative processes, also prefer utilitarian solutions (Paxton et al, 2012 , 2013 ; Baron, 2013 ; but see Royzman et al, in press ). Disrupting cognitive processing by imposing cognitive load or by using noninvasive brain stimulation technique makes participants either slow down while endorsing utilitarian solutions (Greene et al, 2008 ) or makes it less likely that they will endorse utilitarian solutions (Trémolière et al, 2012 ; Conway and Gawronski, 2013 ; Jeurissen et al, 2014 ; but see Tassy et al, 2012 ).…”
Section: Introductionmentioning
confidence: 99%
“…This is in line with Tabachnick and Fidell's (2013) rules of thumb, according to which, given our ten predictors, we should have at least N = 140 cases to detect medium effect size. However, this type of analysis has serious problems due to imperfect reliabilities of measures (e.g., Baron et al, 2017), resulting in often serious Type I error inflation and unreliable conclusions about the significance and importance of predictors (e.g., Westfall & Yarkoni, 2016). To alleviate this problem and to select, among all of the possible models, the most appropriate constellation of predictors for our outcomes given the data, we implemented a Bayesian Model Averaging method (BMA; Hinne et al, 2020;Bergh et al, 2021).…”
Section: Resultsmentioning
confidence: 99%
“…However, this type of analysis has serious problems due to imperfect reliabilities of measures (e.g. Baron, Gürçay, & Metz, 2017), resulting in often serious Type I error inflation and unreliable conclusions about the significance and importance of predictors (e.g., Westfall & Yarkoni, 2016). To alleviate this problem and to select, among all of the possible models the most appropriate constellation of predictors for our outcomes given the data, we implemented a Bayesian…”
Section: Resultsmentioning
confidence: 99%