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Neuroticism explains unwanted variance in Implicit Association Tests of personality: possible evidence for an affective valence confound
Meta-analytic data highlight the value of the Implicit Association Test (IAT) as an indirect measure of personality. Based on evidence suggesting that confounding factors such as cognitive abilities contribute to the IAT effect, this study provides a first investigation of whether basic personality...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3786234/ https://www.ncbi.nlm.nih.gov/pubmed/24137139 http://dx.doi.org/10.3389/fpsyg.2013.00672 |
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author | Fleischhauer, Monika Enge, Sören Miller, Robert Strobel, Alexander Strobel, Anja |
author_facet | Fleischhauer, Monika Enge, Sören Miller, Robert Strobel, Alexander Strobel, Anja |
author_sort | Fleischhauer, Monika |
collection | PubMed |
description | Meta-analytic data highlight the value of the Implicit Association Test (IAT) as an indirect measure of personality. Based on evidence suggesting that confounding factors such as cognitive abilities contribute to the IAT effect, this study provides a first investigation of whether basic personality traits explain unwanted variance in the IAT. In a gender-balanced sample of 204 volunteers, the Big-Five dimensions were assessed via self-report, peer-report, and IAT. By means of structural equation modeling (SEM), latent Big-Five personality factors (based on self- and peer-report) were estimated and their predictive value for unwanted variance in the IAT was examined. In a first analysis, unwanted variance was defined in the sense of method-specific variance which may result from differences in task demands between the two IAT block conditions and which can be mirrored by the absolute size of the IAT effects. In a second analysis, unwanted variance was examined in a broader sense defined as those systematic variance components in the raw IAT scores that are not explained by the latent implicit personality factors. In contrast to the absolute IAT scores, this also considers biases associated with the direction of IAT effects (i.e., whether they are positive or negative in sign), biases that might result, for example, from the IAT's stimulus or category features. None of the explicit Big-Five factors was predictive for method-specific variance in the IATs (first analysis). However, when considering unwanted variance that goes beyond pure method-specific variance (second analysis), a substantial effect of neuroticism occurred that may have been driven by the affective valence of IAT attribute categories and the facilitated processing of negative stimuli, typically associated with neuroticism. The findings thus point to the necessity of using attribute category labels and stimuli of similar affective valence in personality IATs to avoid confounding due to recoding. |
format | Online Article Text |
id | pubmed-3786234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-37862342013-10-17 Neuroticism explains unwanted variance in Implicit Association Tests of personality: possible evidence for an affective valence confound Fleischhauer, Monika Enge, Sören Miller, Robert Strobel, Alexander Strobel, Anja Front Psychol Psychology Meta-analytic data highlight the value of the Implicit Association Test (IAT) as an indirect measure of personality. Based on evidence suggesting that confounding factors such as cognitive abilities contribute to the IAT effect, this study provides a first investigation of whether basic personality traits explain unwanted variance in the IAT. In a gender-balanced sample of 204 volunteers, the Big-Five dimensions were assessed via self-report, peer-report, and IAT. By means of structural equation modeling (SEM), latent Big-Five personality factors (based on self- and peer-report) were estimated and their predictive value for unwanted variance in the IAT was examined. In a first analysis, unwanted variance was defined in the sense of method-specific variance which may result from differences in task demands between the two IAT block conditions and which can be mirrored by the absolute size of the IAT effects. In a second analysis, unwanted variance was examined in a broader sense defined as those systematic variance components in the raw IAT scores that are not explained by the latent implicit personality factors. In contrast to the absolute IAT scores, this also considers biases associated with the direction of IAT effects (i.e., whether they are positive or negative in sign), biases that might result, for example, from the IAT's stimulus or category features. None of the explicit Big-Five factors was predictive for method-specific variance in the IATs (first analysis). However, when considering unwanted variance that goes beyond pure method-specific variance (second analysis), a substantial effect of neuroticism occurred that may have been driven by the affective valence of IAT attribute categories and the facilitated processing of negative stimuli, typically associated with neuroticism. The findings thus point to the necessity of using attribute category labels and stimuli of similar affective valence in personality IATs to avoid confounding due to recoding. Frontiers Media S.A. 2013-09-30 /pmc/articles/PMC3786234/ /pubmed/24137139 http://dx.doi.org/10.3389/fpsyg.2013.00672 Text en Copyright © 2013 Fleischhauer, Enge, Miller, Strobel and Strobel. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Fleischhauer, Monika Enge, Sören Miller, Robert Strobel, Alexander Strobel, Anja Neuroticism explains unwanted variance in Implicit Association Tests of personality: possible evidence for an affective valence confound |
title | Neuroticism explains unwanted variance in Implicit Association Tests of personality: possible evidence for an affective valence confound |
title_full | Neuroticism explains unwanted variance in Implicit Association Tests of personality: possible evidence for an affective valence confound |
title_fullStr | Neuroticism explains unwanted variance in Implicit Association Tests of personality: possible evidence for an affective valence confound |
title_full_unstemmed | Neuroticism explains unwanted variance in Implicit Association Tests of personality: possible evidence for an affective valence confound |
title_short | Neuroticism explains unwanted variance in Implicit Association Tests of personality: possible evidence for an affective valence confound |
title_sort | neuroticism explains unwanted variance in implicit association tests of personality: possible evidence for an affective valence confound |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3786234/ https://www.ncbi.nlm.nih.gov/pubmed/24137139 http://dx.doi.org/10.3389/fpsyg.2013.00672 |
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