Little cause for concern: Analysis of gender effects in structured employment references
Recent research has highlighted the fact that narrative letters of recommendation in employment references could contribute to gender bias in personnel selection. Structured, quantitative employment references, however, may limit the opportunity for such biases to emerge. In a sample of nearly one m...
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Veröffentlicht in: | International journal of selection and assessment 2022-09, Vol.30 (3), p.361-377 |
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creator | Fisher, Peter A. Robie, Chet Hedricks, Cynthia A. Rupayana, Disha D. Puchalski, Leigh |
description | Recent research has highlighted the fact that narrative letters of recommendation in employment references could contribute to gender bias in personnel selection. Structured, quantitative employment references, however, may limit the opportunity for such biases to emerge. In a sample of nearly one million applicants and ratings by over four million employment reference providers, we found no meaningful effect of gender bias in highly structured, quantitative employment references across job levels and a wide variety of industries. Interestingly, and in contrast to existing theory, the effect of gender bias remained negligible across both stereotypically masculine and feminine jobs. Similarly, in a subsample of 5000 job applicants and 20,000 employment reference providers, coded verbatim comments of reference providers showed little practical gender differences in the frequency with which various comment types are made. These results suggest that highly structured, quantitative and semi‐structured, verbatim employment references are an effective tool in the advancement of fair and equitable personnel selection practices. Theoretical and practical implications are discussed, and future research is proposed.
Practitioner points
Previous research has found that narrative employment references can bias the hiring process against women.
In a sample of more than four million structured employment references, we found negligible gender bias favoring male applicants.
Where there was gender bias slightly favoring female applicants, it occurred at high cutoff ranges that almost certainly would not be used in practice.
Structured employment references help to reduce gender bias when conducting reference checks during the hiring process. |
doi_str_mv | 10.1111/ijsa.12380 |
format | Article |
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Practitioner points
Previous research has found that narrative employment references can bias the hiring process against women.
In a sample of more than four million structured employment references, we found negligible gender bias favoring male applicants.
Where there was gender bias slightly favoring female applicants, it occurred at high cutoff ranges that almost certainly would not be used in practice.
Structured employment references help to reduce gender bias when conducting reference checks during the hiring process.</description><identifier>ISSN: 0965-075X</identifier><identifier>EISSN: 1468-2389</identifier><identifier>DOI: 10.1111/ijsa.12380</identifier><language>eng</language><publisher>Oxford: Blackwell Publishing Ltd</publisher><subject>Bias ; Employment ; employment reference ; Gender ; gender bias ; Personnel selection ; stereotypes</subject><ispartof>International journal of selection and assessment, 2022-09, Vol.30 (3), p.361-377</ispartof><rights>2022 The Authors. published by John Wiley & Sons Ltd.</rights><rights>2022. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3620-116eb4ac10a3729cf613511f3b085d0922cccd9a6e8dcc2be310e58d150037623</citedby><cites>FETCH-LOGICAL-c3620-116eb4ac10a3729cf613511f3b085d0922cccd9a6e8dcc2be310e58d150037623</cites><orcidid>0000-0003-4521-6924 ; 0000-0002-6845-109X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1111%2Fijsa.12380$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1111%2Fijsa.12380$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,1416,27915,27916,45565,45566</link.rule.ids></links><search><creatorcontrib>Fisher, Peter A.</creatorcontrib><creatorcontrib>Robie, Chet</creatorcontrib><creatorcontrib>Hedricks, Cynthia A.</creatorcontrib><creatorcontrib>Rupayana, Disha D.</creatorcontrib><creatorcontrib>Puchalski, Leigh</creatorcontrib><title>Little cause for concern: Analysis of gender effects in structured employment references</title><title>International journal of selection and assessment</title><description>Recent research has highlighted the fact that narrative letters of recommendation in employment references could contribute to gender bias in personnel selection. Structured, quantitative employment references, however, may limit the opportunity for such biases to emerge. In a sample of nearly one million applicants and ratings by over four million employment reference providers, we found no meaningful effect of gender bias in highly structured, quantitative employment references across job levels and a wide variety of industries. Interestingly, and in contrast to existing theory, the effect of gender bias remained negligible across both stereotypically masculine and feminine jobs. Similarly, in a subsample of 5000 job applicants and 20,000 employment reference providers, coded verbatim comments of reference providers showed little practical gender differences in the frequency with which various comment types are made. These results suggest that highly structured, quantitative and semi‐structured, verbatim employment references are an effective tool in the advancement of fair and equitable personnel selection practices. Theoretical and practical implications are discussed, and future research is proposed.
Practitioner points
Previous research has found that narrative employment references can bias the hiring process against women.
In a sample of more than four million structured employment references, we found negligible gender bias favoring male applicants.
Where there was gender bias slightly favoring female applicants, it occurred at high cutoff ranges that almost certainly would not be used in practice.
Structured employment references help to reduce gender bias when conducting reference checks during the hiring process.</description><subject>Bias</subject><subject>Employment</subject><subject>employment reference</subject><subject>Gender</subject><subject>gender bias</subject><subject>Personnel selection</subject><subject>stereotypes</subject><issn>0965-075X</issn><issn>1468-2389</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><recordid>eNp9kE1Lw0AQhhdRsFYv_oIFb0Lq7G4-vZVitVLwoEJvy3YzKylpUncSJP_erRG8OZeZw8PDOy9j1wJmIsxdtSMzE1LlcMImIk7zKNzFKZtAkSYRZMnmnF0Q7QBAqUxO2GZddV2N3JqekLvWc9s2Fn1zz-eNqQeqiLeOf2BToufoHNqOeNVw6nxvu95jyXF_qNthj03HPTr0GAR0yc6cqQmvfveUvS8f3hZP0frlcbWYryOrUgmRECluY2MFmJCnsC4VKhHCqS3kSQmFlNbasjAp5qW1cotKACZ5KZLwQZZKNWU3o_fg288eqdO7tvchOmmZQZzlMpNxoG5HyvqWKKTUB1_tjR-0AH1sTh-b0z_NBZiPMIYuKvpDcwlZ0MlNQMSIfFU1Dv_I9Or5dT5qvwHGAHtO</recordid><startdate>202209</startdate><enddate>202209</enddate><creator>Fisher, Peter A.</creator><creator>Robie, Chet</creator><creator>Hedricks, Cynthia A.</creator><creator>Rupayana, Disha D.</creator><creator>Puchalski, Leigh</creator><general>Blackwell Publishing Ltd</general><scope>24P</scope><scope>WIN</scope><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-4521-6924</orcidid><orcidid>https://orcid.org/0000-0002-6845-109X</orcidid></search><sort><creationdate>202209</creationdate><title>Little cause for concern: Analysis of gender effects in structured employment references</title><author>Fisher, Peter A. ; Robie, Chet ; Hedricks, Cynthia A. ; Rupayana, Disha D. ; Puchalski, Leigh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3620-116eb4ac10a3729cf613511f3b085d0922cccd9a6e8dcc2be310e58d150037623</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Bias</topic><topic>Employment</topic><topic>employment reference</topic><topic>Gender</topic><topic>gender bias</topic><topic>Personnel selection</topic><topic>stereotypes</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fisher, Peter A.</creatorcontrib><creatorcontrib>Robie, Chet</creatorcontrib><creatorcontrib>Hedricks, Cynthia A.</creatorcontrib><creatorcontrib>Rupayana, Disha D.</creatorcontrib><creatorcontrib>Puchalski, Leigh</creatorcontrib><collection>Wiley-Blackwell Open Access Titles</collection><collection>Wiley Free Content</collection><collection>ECONIS</collection><collection>CrossRef</collection><jtitle>International journal of selection and assessment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fisher, Peter A.</au><au>Robie, Chet</au><au>Hedricks, Cynthia A.</au><au>Rupayana, Disha D.</au><au>Puchalski, Leigh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Little cause for concern: Analysis of gender effects in structured employment references</atitle><jtitle>International journal of selection and assessment</jtitle><date>2022-09</date><risdate>2022</risdate><volume>30</volume><issue>3</issue><spage>361</spage><epage>377</epage><pages>361-377</pages><issn>0965-075X</issn><eissn>1468-2389</eissn><abstract>Recent research has highlighted the fact that narrative letters of recommendation in employment references could contribute to gender bias in personnel selection. Structured, quantitative employment references, however, may limit the opportunity for such biases to emerge. In a sample of nearly one million applicants and ratings by over four million employment reference providers, we found no meaningful effect of gender bias in highly structured, quantitative employment references across job levels and a wide variety of industries. Interestingly, and in contrast to existing theory, the effect of gender bias remained negligible across both stereotypically masculine and feminine jobs. Similarly, in a subsample of 5000 job applicants and 20,000 employment reference providers, coded verbatim comments of reference providers showed little practical gender differences in the frequency with which various comment types are made. These results suggest that highly structured, quantitative and semi‐structured, verbatim employment references are an effective tool in the advancement of fair and equitable personnel selection practices. Theoretical and practical implications are discussed, and future research is proposed.
Practitioner points
Previous research has found that narrative employment references can bias the hiring process against women.
In a sample of more than four million structured employment references, we found negligible gender bias favoring male applicants.
Where there was gender bias slightly favoring female applicants, it occurred at high cutoff ranges that almost certainly would not be used in practice.
Structured employment references help to reduce gender bias when conducting reference checks during the hiring process.</abstract><cop>Oxford</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1111/ijsa.12380</doi><tpages>17</tpages><orcidid>https://orcid.org/0000-0003-4521-6924</orcidid><orcidid>https://orcid.org/0000-0002-6845-109X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bias Employment employment reference Gender gender bias Personnel selection stereotypes |
title | Little cause for concern: Analysis of gender effects in structured employment references |
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