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...
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Veröffentlicht in: | The Psychological record 2020-09, Vol.70 (3), p.459-469 |
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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. |
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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 ; 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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> |
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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) |
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