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A comparison of self-bias measures across cognitive domains

BACKGROUND: The ‘self-bias’—i.e., the human proneness to preferentially process self-relevant stimuli—is thought to be important for both self-related and social processing. Previous research operationalized the self-bias using different paradigms, assessing the size of the self-bias within a single...

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Autores principales: Amodeo, Letizia, Wiersema, Jan R., Brass, Marcel, Nijhof, Annabel D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414869/
https://www.ncbi.nlm.nih.gov/pubmed/34479639
http://dx.doi.org/10.1186/s40359-021-00639-x
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author Amodeo, Letizia
Wiersema, Jan R.
Brass, Marcel
Nijhof, Annabel D.
author_facet Amodeo, Letizia
Wiersema, Jan R.
Brass, Marcel
Nijhof, Annabel D.
author_sort Amodeo, Letizia
collection PubMed
description BACKGROUND: The ‘self-bias’—i.e., the human proneness to preferentially process self-relevant stimuli—is thought to be important for both self-related and social processing. Previous research operationalized the self-bias using different paradigms, assessing the size of the self-bias within a single cognitive domain. Recent studies suggested a reduced self-bias in autism, yet findings are inconsistent. The lack of consensus across existing studies may result from variation in paradigms and cognitive domains tested. Therefore, the primary goal of the current study was to investigate whether self-biases found across cognitive domains (i.e., perception, memory, attention) are related or independent. The secondary goal was to explore the relationship between these self-biases and the extent of autistic traits in a neurotypical sample. METHODS: In an online procedure, 99 Dutch-speaking adults performed three self-processing tasks in counterbalanced order—i.e., the shape-label matching task (perception), the trait adjectives task (memory) and the visual search task (attention)—and completed two self-report measures of ASD symptomatology, i.e., AQ-10 and SRS-A. To control for level of familiarity, self-, close other- and famous other-relevant stimuli were included in each task. Repeated measures ANOVAs were conducted for each task, and both frequentist as well as Bayesian analyses were applied to investigate the correlational patterns between self-bias measures. RESULTS: We observed significant correlations of the self-bias magnitude between memory and attention, as well as attention and perception. However, Bayesian analysis provided only weak support for the latter association. Further, the size of the self-bias was not significantly related across memory and perception. No significant correlation between autistic traits and the self-bias magnitude was found for any of the three tasks, with Bayesian analyses strongly favoring the null hypothesis. CONCLUSIONS: In contrast with the view of a ‘unidimensional’ self-bias, our findings provide evidence for a heterogeneous and multifaceted self consisting of a variety of related and unrelated aspects. None of the self-bias indices were found to relate to autistic traits in our neurotypical sample.
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spelling pubmed-84148692021-09-09 A comparison of self-bias measures across cognitive domains Amodeo, Letizia Wiersema, Jan R. Brass, Marcel Nijhof, Annabel D. BMC Psychol Research BACKGROUND: The ‘self-bias’—i.e., the human proneness to preferentially process self-relevant stimuli—is thought to be important for both self-related and social processing. Previous research operationalized the self-bias using different paradigms, assessing the size of the self-bias within a single cognitive domain. Recent studies suggested a reduced self-bias in autism, yet findings are inconsistent. The lack of consensus across existing studies may result from variation in paradigms and cognitive domains tested. Therefore, the primary goal of the current study was to investigate whether self-biases found across cognitive domains (i.e., perception, memory, attention) are related or independent. The secondary goal was to explore the relationship between these self-biases and the extent of autistic traits in a neurotypical sample. METHODS: In an online procedure, 99 Dutch-speaking adults performed three self-processing tasks in counterbalanced order—i.e., the shape-label matching task (perception), the trait adjectives task (memory) and the visual search task (attention)—and completed two self-report measures of ASD symptomatology, i.e., AQ-10 and SRS-A. To control for level of familiarity, self-, close other- and famous other-relevant stimuli were included in each task. Repeated measures ANOVAs were conducted for each task, and both frequentist as well as Bayesian analyses were applied to investigate the correlational patterns between self-bias measures. RESULTS: We observed significant correlations of the self-bias magnitude between memory and attention, as well as attention and perception. However, Bayesian analysis provided only weak support for the latter association. Further, the size of the self-bias was not significantly related across memory and perception. No significant correlation between autistic traits and the self-bias magnitude was found for any of the three tasks, with Bayesian analyses strongly favoring the null hypothesis. CONCLUSIONS: In contrast with the view of a ‘unidimensional’ self-bias, our findings provide evidence for a heterogeneous and multifaceted self consisting of a variety of related and unrelated aspects. None of the self-bias indices were found to relate to autistic traits in our neurotypical sample. BioMed Central 2021-09-03 /pmc/articles/PMC8414869/ /pubmed/34479639 http://dx.doi.org/10.1186/s40359-021-00639-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Amodeo, Letizia
Wiersema, Jan R.
Brass, Marcel
Nijhof, Annabel D.
A comparison of self-bias measures across cognitive domains
title A comparison of self-bias measures across cognitive domains
title_full A comparison of self-bias measures across cognitive domains
title_fullStr A comparison of self-bias measures across cognitive domains
title_full_unstemmed A comparison of self-bias measures across cognitive domains
title_short A comparison of self-bias measures across cognitive domains
title_sort comparison of self-bias measures across cognitive domains
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8414869/
https://www.ncbi.nlm.nih.gov/pubmed/34479639
http://dx.doi.org/10.1186/s40359-021-00639-x
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