Inflated applicants: attribution errors in performance evaluation by professionals.

When explaining others' behaviors, achievements, and failures, it is common for people to attribute too much influence to disposition and too little influence to structural and situational factors. We examine whether this tendency leads even experienced professionals to make systematic mistakes...

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Main Authors: Samuel A Swift, Don A Moore, Zachariah S Sharek, Francesca Gino
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3722183?pdf=render
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spelling doaj-191e2b611f334df78dd81b8a6b0e2df02020-11-25T01:24:51ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0187e6925810.1371/journal.pone.0069258Inflated applicants: attribution errors in performance evaluation by professionals.Samuel A SwiftDon A MooreZachariah S SharekFrancesca GinoWhen explaining others' behaviors, achievements, and failures, it is common for people to attribute too much influence to disposition and too little influence to structural and situational factors. We examine whether this tendency leads even experienced professionals to make systematic mistakes in their selection decisions, favoring alumni from academic institutions with high grade distributions and employees from forgiving business environments. We find that candidates benefiting from favorable situations are more likely to be admitted and promoted than their equivalently skilled peers. The results suggest that decision-makers take high nominal performance as evidence of high ability and do not discount it by the ease with which it was achieved. These results clarify our understanding of the correspondence bias using evidence from both archival studies and experiments with experienced professionals. We discuss implications for both admissions and personnel selection practices.http://europepmc.org/articles/PMC3722183?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Samuel A Swift
Don A Moore
Zachariah S Sharek
Francesca Gino
spellingShingle Samuel A Swift
Don A Moore
Zachariah S Sharek
Francesca Gino
Inflated applicants: attribution errors in performance evaluation by professionals.
PLoS ONE
author_facet Samuel A Swift
Don A Moore
Zachariah S Sharek
Francesca Gino
author_sort Samuel A Swift
title Inflated applicants: attribution errors in performance evaluation by professionals.
title_short Inflated applicants: attribution errors in performance evaluation by professionals.
title_full Inflated applicants: attribution errors in performance evaluation by professionals.
title_fullStr Inflated applicants: attribution errors in performance evaluation by professionals.
title_full_unstemmed Inflated applicants: attribution errors in performance evaluation by professionals.
title_sort inflated applicants: attribution errors in performance evaluation by professionals.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description When explaining others' behaviors, achievements, and failures, it is common for people to attribute too much influence to disposition and too little influence to structural and situational factors. We examine whether this tendency leads even experienced professionals to make systematic mistakes in their selection decisions, favoring alumni from academic institutions with high grade distributions and employees from forgiving business environments. We find that candidates benefiting from favorable situations are more likely to be admitted and promoted than their equivalently skilled peers. The results suggest that decision-makers take high nominal performance as evidence of high ability and do not discount it by the ease with which it was achieved. These results clarify our understanding of the correspondence bias using evidence from both archival studies and experiments with experienced professionals. We discuss implications for both admissions and personnel selection practices.
url http://europepmc.org/articles/PMC3722183?pdf=render
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