Using the Implicit Relational Assessment Procedure (IRAP) to Examine Implicit Gender Stereotypes in Science, Technology, Engineering and Maths (STEM)

Women are often subject to gender stereotyping in the fields of science, technology, engineering, and mathematics (STEM). The Implicit Relational Assessment Procedure (IRAP) was used to determine directionality of any implicit gender-STEM bias detected. In addition, the IRAP was used to explore the...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The Psychological record 2020-09, Vol.70 (3), p.459-469
Hauptverfasser: Fleming, Katie, Foody, Mairead, Murphy, Carol
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 469
container_issue 3
container_start_page 459
container_title The Psychological record
container_volume 70
creator Fleming, Katie
Foody, Mairead
Murphy, Carol
description Women are often subject to gender stereotyping in the fields of science, technology, engineering, and mathematics (STEM). The Implicit Relational Assessment Procedure (IRAP) was used to determine directionality of any implicit gender-STEM bias detected. In addition, the IRAP was used to explore the possibility of implicit ageism bias, because there is anecdotal evidence of high levels of ageism in the STEM areas. Thus two IRAPs (one with adult pictorial stimuli and one with child pictorial stimuli) were employed to assess implicit gender bias toward STEM with a sample of undergraduates ( N = 33). Results indicated a gender STEM bias in both IRAPs and the directionality in both IRAPs was pro-male and not anti-female. Participant gender was not shown to impact results in either IRAP. Gender bias effects were more pronounced in the Adult-IRAP results. Comparison of bias toward older versus young pictorial stimuli was exploratory thus findings are preliminary but may suggest ageism and potential negative interaction effects between age and gender warrant further research.
doi_str_mv 10.1007/s40732-020-00401-6
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2436977585</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2436977585</sourcerecordid><originalsourceid>FETCH-LOGICAL-c363t-c86109e4a98e0b94ffab6bb176a1c8c93b82d781eaebdfc5c44f6d7c7de295083</originalsourceid><addsrcrecordid>eNp9kNFq2zAUhkXZYFnWF-iVoDcN1N2RZMv2ZQhZGmhZSNJrIcvHiYsjeZICzYPsfessg-2qV-fm__7D_xFyw-CBAeTfQwq54AlwSABSYIm8IiPOpEhEmvFPZAQgRMJLIb6QryG8AgAbkBH5_RJau6Nxj3R56LvWtJGusdOxdVZ3dBoChnBAG-nKO4P10SO9W66nqwmNjs7f9KG1_6ELtDV6uono0cVTj4G2lm5Mi9bgPd2i2VvXud3pns7tbkDRn99rW9NnHfeB3m228-fJN_K50V3A6793TF5-zLezx-Tp52I5mz4lRkgRE1NIBiWmuiwQqjJtGl3JqmK51MwUphRVweu8YKixqhuTmTRtZJ2bvEZeZlCIMbm99Pbe_TpiiOrVHf0wPCieClnmeVZkQ4pfUsa7EDw2qvftQfuTYqDO-tVFvxr0qz_6lRwgcYFCf56I_l_1B9Q72O2JJA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2436977585</pqid></control><display><type>article</type><title>Using the Implicit Relational Assessment Procedure (IRAP) to Examine Implicit Gender Stereotypes in Science, Technology, Engineering and Maths (STEM)</title><source>SpringerLink Journals</source><source>EBSCOhost Business Source Complete</source><source>Applied Social Sciences Index &amp; Abstracts (ASSIA)</source><source>EBSCOhost Education Source</source><creator>Fleming, Katie ; Foody, Mairead ; Murphy, Carol</creator><creatorcontrib>Fleming, Katie ; Foody, Mairead ; Murphy, Carol</creatorcontrib><description>Women are often subject to gender stereotyping in the fields of science, technology, engineering, and mathematics (STEM). The Implicit Relational Assessment Procedure (IRAP) was used to determine directionality of any implicit gender-STEM bias detected. In addition, the IRAP was used to explore the possibility of implicit ageism bias, because there is anecdotal evidence of high levels of ageism in the STEM areas. Thus two IRAPs (one with adult pictorial stimuli and one with child pictorial stimuli) were employed to assess implicit gender bias toward STEM with a sample of undergraduates ( N = 33). Results indicated a gender STEM bias in both IRAPs and the directionality in both IRAPs was pro-male and not anti-female. Participant gender was not shown to impact results in either IRAP. Gender bias effects were more pronounced in the Adult-IRAP results. Comparison of bias toward older versus young pictorial stimuli was exploratory thus findings are preliminary but may suggest ageism and potential negative interaction effects between age and gender warrant further research.</description><identifier>ISSN: 0033-2933</identifier><identifier>EISSN: 2163-3452</identifier><identifier>DOI: 10.1007/s40732-020-00401-6</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Age differences ; Age discrimination ; Behavioral Science and Psychology ; Bias ; Engineering ; Gender ; Gender Bias ; Gender stereotypes ; Mathematics ; Original Article ; Pictorial Stimuli ; Psychology ; Science and technology ; Sex Stereotypes ; Sexism ; Stimuli ; Undergraduate students ; Women</subject><ispartof>The Psychological record, 2020-09, Vol.70 (3), p.459-469</ispartof><rights>Association for Behavior Analysis International 2020</rights><rights>Association for Behavior Analysis International 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c363t-c86109e4a98e0b94ffab6bb176a1c8c93b82d781eaebdfc5c44f6d7c7de295083</citedby><cites>FETCH-LOGICAL-c363t-c86109e4a98e0b94ffab6bb176a1c8c93b82d781eaebdfc5c44f6d7c7de295083</cites><orcidid>0000-0001-6313-0409</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40732-020-00401-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40732-020-00401-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,12846,27924,27925,30999,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Fleming, Katie</creatorcontrib><creatorcontrib>Foody, Mairead</creatorcontrib><creatorcontrib>Murphy, Carol</creatorcontrib><title>Using the Implicit Relational Assessment Procedure (IRAP) to Examine Implicit Gender Stereotypes in Science, Technology, Engineering and Maths (STEM)</title><title>The Psychological record</title><addtitle>Psychol Rec</addtitle><description>Women are often subject to gender stereotyping in the fields of science, technology, engineering, and mathematics (STEM). The Implicit Relational Assessment Procedure (IRAP) was used to determine directionality of any implicit gender-STEM bias detected. In addition, the IRAP was used to explore the possibility of implicit ageism bias, because there is anecdotal evidence of high levels of ageism in the STEM areas. Thus two IRAPs (one with adult pictorial stimuli and one with child pictorial stimuli) were employed to assess implicit gender bias toward STEM with a sample of undergraduates ( N = 33). Results indicated a gender STEM bias in both IRAPs and the directionality in both IRAPs was pro-male and not anti-female. Participant gender was not shown to impact results in either IRAP. Gender bias effects were more pronounced in the Adult-IRAP results. Comparison of bias toward older versus young pictorial stimuli was exploratory thus findings are preliminary but may suggest ageism and potential negative interaction effects between age and gender warrant further research.</description><subject>Age differences</subject><subject>Age discrimination</subject><subject>Behavioral Science and Psychology</subject><subject>Bias</subject><subject>Engineering</subject><subject>Gender</subject><subject>Gender Bias</subject><subject>Gender stereotypes</subject><subject>Mathematics</subject><subject>Original Article</subject><subject>Pictorial Stimuli</subject><subject>Psychology</subject><subject>Science and technology</subject><subject>Sex Stereotypes</subject><subject>Sexism</subject><subject>Stimuli</subject><subject>Undergraduate students</subject><subject>Women</subject><issn>0033-2933</issn><issn>2163-3452</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kNFq2zAUhkXZYFnWF-iVoDcN1N2RZMv2ZQhZGmhZSNJrIcvHiYsjeZICzYPsfessg-2qV-fm__7D_xFyw-CBAeTfQwq54AlwSABSYIm8IiPOpEhEmvFPZAQgRMJLIb6QryG8AgAbkBH5_RJau6Nxj3R56LvWtJGusdOxdVZ3dBoChnBAG-nKO4P10SO9W66nqwmNjs7f9KG1_6ELtDV6uono0cVTj4G2lm5Mi9bgPd2i2VvXud3pns7tbkDRn99rW9NnHfeB3m228-fJN_K50V3A6793TF5-zLezx-Tp52I5mz4lRkgRE1NIBiWmuiwQqjJtGl3JqmK51MwUphRVweu8YKixqhuTmTRtZJ2bvEZeZlCIMbm99Pbe_TpiiOrVHf0wPCieClnmeVZkQ4pfUsa7EDw2qvftQfuTYqDO-tVFvxr0qz_6lRwgcYFCf56I_l_1B9Q72O2JJA</recordid><startdate>20200901</startdate><enddate>20200901</enddate><creator>Fleming, Katie</creator><creator>Foody, Mairead</creator><creator>Murphy, Carol</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>0-V</scope><scope>3V.</scope><scope>4U-</scope><scope>7QJ</scope><scope>7XB</scope><scope>88B</scope><scope>88G</scope><scope>88I</scope><scope>88J</scope><scope>8AF</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>HEHIP</scope><scope>M0P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M2R</scope><scope>M2S</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>S0X</scope><orcidid>https://orcid.org/0000-0001-6313-0409</orcidid></search><sort><creationdate>20200901</creationdate><title>Using the Implicit Relational Assessment Procedure (IRAP) to Examine Implicit Gender Stereotypes in Science, Technology, Engineering and Maths (STEM)</title><author>Fleming, Katie ; Foody, Mairead ; Murphy, Carol</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-c86109e4a98e0b94ffab6bb176a1c8c93b82d781eaebdfc5c44f6d7c7de295083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Age differences</topic><topic>Age discrimination</topic><topic>Behavioral Science and Psychology</topic><topic>Bias</topic><topic>Engineering</topic><topic>Gender</topic><topic>Gender Bias</topic><topic>Gender stereotypes</topic><topic>Mathematics</topic><topic>Original Article</topic><topic>Pictorial Stimuli</topic><topic>Psychology</topic><topic>Science and technology</topic><topic>Sex Stereotypes</topic><topic>Sexism</topic><topic>Stimuli</topic><topic>Undergraduate students</topic><topic>Women</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fleming, Katie</creatorcontrib><creatorcontrib>Foody, Mairead</creatorcontrib><creatorcontrib>Murphy, Carol</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>University Readers</collection><collection>Applied Social Sciences Index &amp; Abstracts (ASSIA)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Education Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Science Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>Sociology Collection</collection><collection>Education Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Social Science Database</collection><collection>Sociology Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>The Psychological record</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fleming, Katie</au><au>Foody, Mairead</au><au>Murphy, Carol</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using the Implicit Relational Assessment Procedure (IRAP) to Examine Implicit Gender Stereotypes in Science, Technology, Engineering and Maths (STEM)</atitle><jtitle>The Psychological record</jtitle><stitle>Psychol Rec</stitle><date>2020-09-01</date><risdate>2020</risdate><volume>70</volume><issue>3</issue><spage>459</spage><epage>469</epage><pages>459-469</pages><issn>0033-2933</issn><eissn>2163-3452</eissn><abstract>Women are often subject to gender stereotyping in the fields of science, technology, engineering, and mathematics (STEM). The Implicit Relational Assessment Procedure (IRAP) was used to determine directionality of any implicit gender-STEM bias detected. In addition, the IRAP was used to explore the possibility of implicit ageism bias, because there is anecdotal evidence of high levels of ageism in the STEM areas. Thus two IRAPs (one with adult pictorial stimuli and one with child pictorial stimuli) were employed to assess implicit gender bias toward STEM with a sample of undergraduates ( N = 33). Results indicated a gender STEM bias in both IRAPs and the directionality in both IRAPs was pro-male and not anti-female. Participant gender was not shown to impact results in either IRAP. Gender bias effects were more pronounced in the Adult-IRAP results. Comparison of bias toward older versus young pictorial stimuli was exploratory thus findings are preliminary but may suggest ageism and potential negative interaction effects between age and gender warrant further research.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40732-020-00401-6</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0001-6313-0409</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0033-2933
ispartof The Psychological record, 2020-09, Vol.70 (3), p.459-469
issn 0033-2933
2163-3452
language eng
recordid cdi_proquest_journals_2436977585
source SpringerLink Journals; EBSCOhost Business Source Complete; Applied Social Sciences Index & Abstracts (ASSIA); EBSCOhost Education Source
subjects Age differences
Age discrimination
Behavioral Science and Psychology
Bias
Engineering
Gender
Gender Bias
Gender stereotypes
Mathematics
Original Article
Pictorial Stimuli
Psychology
Science and technology
Sex Stereotypes
Sexism
Stimuli
Undergraduate students
Women
title Using the Implicit Relational Assessment Procedure (IRAP) to Examine Implicit Gender Stereotypes in Science, Technology, Engineering and Maths (STEM)
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T05%3A43%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Using%20the%20Implicit%20Relational%20Assessment%20Procedure%20(IRAP)%20to%20Examine%20Implicit%20Gender%20Stereotypes%20in%20Science,%20Technology,%20Engineering%20and%20Maths%20(STEM)&rft.jtitle=The%20Psychological%20record&rft.au=Fleming,%20Katie&rft.date=2020-09-01&rft.volume=70&rft.issue=3&rft.spage=459&rft.epage=469&rft.pages=459-469&rft.issn=0033-2933&rft.eissn=2163-3452&rft_id=info:doi/10.1007/s40732-020-00401-6&rft_dat=%3Cproquest_cross%3E2436977585%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2436977585&rft_id=info:pmid/&rfr_iscdi=true