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Large studies reveal how reference bias limits policy applications of self-report measures
There is growing policy interest in identifying contexts that cultivate self-regulation. Doing so often entails comparing groups of individuals (e.g., from different schools). We show that self-report questionnaires—the most prevalent modality for assessing self-regulation—are prone to reference bia...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649615/ https://www.ncbi.nlm.nih.gov/pubmed/36357481 http://dx.doi.org/10.1038/s41598-022-23373-9 |
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author | Lira, Benjamin O’Brien, Joseph M. Peña, Pablo A. Galla, Brian M. D’Mello, Sidney Yeager, David S. Defnet, Amy Kautz, Tim Munkacsy, Kate Duckworth, Angela L. |
author_facet | Lira, Benjamin O’Brien, Joseph M. Peña, Pablo A. Galla, Brian M. D’Mello, Sidney Yeager, David S. Defnet, Amy Kautz, Tim Munkacsy, Kate Duckworth, Angela L. |
author_sort | Lira, Benjamin |
collection | PubMed |
description | There is growing policy interest in identifying contexts that cultivate self-regulation. Doing so often entails comparing groups of individuals (e.g., from different schools). We show that self-report questionnaires—the most prevalent modality for assessing self-regulation—are prone to reference bias, defined as systematic error arising from differences in the implicit standards by which individuals evaluate behavior. In three studies, adolescents (N = 229,685) whose peers performed better academically rated themselves lower in self-regulation and held higher standards for self-regulation. This effect was not observed for task measures of self-regulation and led to paradoxical predictions of college persistence 6 years later. These findings suggest that standards for self-regulation vary by social group, limiting the policy applications of self-report questionnaires. |
format | Online Article Text |
id | pubmed-9649615 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96496152022-11-15 Large studies reveal how reference bias limits policy applications of self-report measures Lira, Benjamin O’Brien, Joseph M. Peña, Pablo A. Galla, Brian M. D’Mello, Sidney Yeager, David S. Defnet, Amy Kautz, Tim Munkacsy, Kate Duckworth, Angela L. Sci Rep Article There is growing policy interest in identifying contexts that cultivate self-regulation. Doing so often entails comparing groups of individuals (e.g., from different schools). We show that self-report questionnaires—the most prevalent modality for assessing self-regulation—are prone to reference bias, defined as systematic error arising from differences in the implicit standards by which individuals evaluate behavior. In three studies, adolescents (N = 229,685) whose peers performed better academically rated themselves lower in self-regulation and held higher standards for self-regulation. This effect was not observed for task measures of self-regulation and led to paradoxical predictions of college persistence 6 years later. These findings suggest that standards for self-regulation vary by social group, limiting the policy applications of self-report questionnaires. Nature Publishing Group UK 2022-11-10 /pmc/articles/PMC9649615/ /pubmed/36357481 http://dx.doi.org/10.1038/s41598-022-23373-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article Lira, Benjamin O’Brien, Joseph M. Peña, Pablo A. Galla, Brian M. D’Mello, Sidney Yeager, David S. Defnet, Amy Kautz, Tim Munkacsy, Kate Duckworth, Angela L. Large studies reveal how reference bias limits policy applications of self-report measures |
title | Large studies reveal how reference bias limits policy applications of self-report measures |
title_full | Large studies reveal how reference bias limits policy applications of self-report measures |
title_fullStr | Large studies reveal how reference bias limits policy applications of self-report measures |
title_full_unstemmed | Large studies reveal how reference bias limits policy applications of self-report measures |
title_short | Large studies reveal how reference bias limits policy applications of self-report measures |
title_sort | large studies reveal how reference bias limits policy applications of self-report measures |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649615/ https://www.ncbi.nlm.nih.gov/pubmed/36357481 http://dx.doi.org/10.1038/s41598-022-23373-9 |
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