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Expert Status and Performance
Expert judgements are essential when time and resources are stretched or we face novel dilemmas requiring fast solutions. Good advice can save lives and large sums of money. Typically, experts are defined by their qualifications, track record and experience [1], [2]. The social expectation hypothesi...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3146531/ https://www.ncbi.nlm.nih.gov/pubmed/21829574 http://dx.doi.org/10.1371/journal.pone.0022998 |
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author | Burgman, Mark A. McBride, Marissa Ashton, Raquel Speirs-Bridge, Andrew Flander, Louisa Wintle, Bonnie Fidler, Fiona Rumpff, Libby Twardy, Charles |
author_facet | Burgman, Mark A. McBride, Marissa Ashton, Raquel Speirs-Bridge, Andrew Flander, Louisa Wintle, Bonnie Fidler, Fiona Rumpff, Libby Twardy, Charles |
author_sort | Burgman, Mark A. |
collection | PubMed |
description | Expert judgements are essential when time and resources are stretched or we face novel dilemmas requiring fast solutions. Good advice can save lives and large sums of money. Typically, experts are defined by their qualifications, track record and experience [1], [2]. The social expectation hypothesis argues that more highly regarded and more experienced experts will give better advice. We asked experts to predict how they will perform, and how their peers will perform, on sets of questions. The results indicate that the way experts regard each other is consistent, but unfortunately, ranks are a poor guide to actual performance. Expert advice will be more accurate if technical decisions routinely use broadly-defined expert groups, structured question protocols and feedback. |
format | Online Article Text |
id | pubmed-3146531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-31465312011-08-09 Expert Status and Performance Burgman, Mark A. McBride, Marissa Ashton, Raquel Speirs-Bridge, Andrew Flander, Louisa Wintle, Bonnie Fidler, Fiona Rumpff, Libby Twardy, Charles PLoS One Research Article Expert judgements are essential when time and resources are stretched or we face novel dilemmas requiring fast solutions. Good advice can save lives and large sums of money. Typically, experts are defined by their qualifications, track record and experience [1], [2]. The social expectation hypothesis argues that more highly regarded and more experienced experts will give better advice. We asked experts to predict how they will perform, and how their peers will perform, on sets of questions. The results indicate that the way experts regard each other is consistent, but unfortunately, ranks are a poor guide to actual performance. Expert advice will be more accurate if technical decisions routinely use broadly-defined expert groups, structured question protocols and feedback. Public Library of Science 2011-07-29 /pmc/articles/PMC3146531/ /pubmed/21829574 http://dx.doi.org/10.1371/journal.pone.0022998 Text en Burgman et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Burgman, Mark A. McBride, Marissa Ashton, Raquel Speirs-Bridge, Andrew Flander, Louisa Wintle, Bonnie Fidler, Fiona Rumpff, Libby Twardy, Charles Expert Status and Performance |
title | Expert Status and Performance |
title_full | Expert Status and Performance |
title_fullStr | Expert Status and Performance |
title_full_unstemmed | Expert Status and Performance |
title_short | Expert Status and Performance |
title_sort | expert status and performance |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3146531/ https://www.ncbi.nlm.nih.gov/pubmed/21829574 http://dx.doi.org/10.1371/journal.pone.0022998 |
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