2018
DOI: 10.1186/s41155-017-0082-8
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The mediational role of distracting stimuli in emotional word recognition

Abstract: Emotions are considered distractions that often prompt subsequent actions. In this way, the aim of this work was to examine the role of distracting stimuli on the relationship of RT and accuracy. In order to do that, a word recognition task was carried out in which emotional valence was manipulated. More precisely, a mediational model, testing how changes in distracting stimuli mediate RT predicting accuracy across emotional conditions, was carried out. The results suggest that changes in task demands should d… Show more

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Cited by 9 publications
(7 citation statements)
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“…This is described as the Model 4 in the Hayes' Process Marco. In this way, Regression-based procedures were executed employing bootstrapping procedures using 10,000 samples (27,28). The average estimate for indirect effect from the bootstrap samples, standard error, and lower and upper confidence limits were calculated.…”
Section: Discussionmentioning
confidence: 99%
“…This is described as the Model 4 in the Hayes' Process Marco. In this way, Regression-based procedures were executed employing bootstrapping procedures using 10,000 samples (27,28). The average estimate for indirect effect from the bootstrap samples, standard error, and lower and upper confidence limits were calculated.…”
Section: Discussionmentioning
confidence: 99%
“…The dependent variable of interest is the reaction time, as this is considered to reflect the cognitive architecture, and not surprisingly, is a star variable in the literature [ 41 ]. However, the RTs (reaction times) are drawn from positively skewed distributions; for this reason, extreme data were trimmed, as in previous literature [ 42 ]. Moreover, different assumptions were checked in terms of outliers and multicollinearity, and no more than 2% of the data were trimmed.…”
Section: Resultsmentioning
confidence: 99%
“…Lastly, two moderation analyses were carried out. Regression-based procedures were executed, employing bootstrapping procedures using 10,000 samples ( MacKinnon and Fairchild, 2009 ; Moret-Tatay et al, 2018 ).…”
Section: Methodsmentioning
confidence: 99%