2019
DOI: 10.1186/s12909-019-1910-6
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Gender-based differences in letters of recommendation written for ophthalmology residency applicants

Abstract: BackgroundTo determine whether gender-based differences may be present in letters of recommendation written for ophthalmology residency applicants.MethodsAll applications submitted through SF Match to the UCLA Stein Eye Institute Residency Training Program from the 2017–2018 application cycle were analyzed using validated text analysis software (Linguistic Inquiry and Word Count (Austin, TX)). The main outcome measures were differences in language use in letters of recommendation by gender of applicant.Results… Show more

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Cited by 77 publications
(93 citation statements)
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References 26 publications
(16 reference statements)
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“…Despite having some promise, letters of recommendation are plagued with a number of problems including poor interrater reliability (Baxter et al, 1981) and the potential for gender or racial differences in letter content (Houser & Lemmons, 2018b;Lin et al, 2019;Lunneborg & Lillie, 1973;Madera et al, 2009Madera et al, , 2019Morgan et al, 2013;Schmader et al, 2007). To our knowledge, research examining subgroup differences in letter content has not examined whether these differences translate into different selection outcomes in the context of graduate admissions; however, Madera et al (2009Madera et al ( , 2019 examined this question among applicants for a faculty position.…”
Section: Letters Of Recommendationmentioning
confidence: 99%
“…Despite having some promise, letters of recommendation are plagued with a number of problems including poor interrater reliability (Baxter et al, 1981) and the potential for gender or racial differences in letter content (Houser & Lemmons, 2018b;Lin et al, 2019;Lunneborg & Lillie, 1973;Madera et al, 2009Madera et al, , 2019Morgan et al, 2013;Schmader et al, 2007). To our knowledge, research examining subgroup differences in letter content has not examined whether these differences translate into different selection outcomes in the context of graduate admissions; however, Madera et al (2009Madera et al ( , 2019 examined this question among applicants for a faculty position.…”
Section: Letters Of Recommendationmentioning
confidence: 99%
“…Another example of an action item for implementing a holistic review process is increasing committee awareness of potential bias in subjective academic metrics such as LORs and narrative student evaluations. Although some studies have shown gender-based differences in LORs, demonstrating that letters for male applicants often use a more authentic tone and use more achievement and power words than those written for female applicants, [56][57][58] few studies examine potential racial and ethnic biases in LORs. At least one training program has found that letter writers for their applicants describe UIM applicants as less agentic than white and Asian applicants.…”
Section: Discussionmentioning
confidence: 99%
“…There are more published studies assessing for potential gender bias in LORs for residency and fellowship applicants (Table 5). Studies have found that, when compared with letters for female applicants, letters for male applicants had a more authentic tone, 56,57 used more achievement words 58 and more agentic words 59-61 (ie, superb, intelligent, exceptional), 59 contained more possessive language, 61 were more likely to contain the words ''future leader'' 59 or ''future success,'' 61 and contained more references to personal drive, knowledge, leadership, and power. 56,58 Letters for female applicants tended to use more terms such as ''hardworking,'' ''compassionate,'' and ''teacher'' 56,62 and more socio- communal phrases (ie, teamwork, helpfulness) 62 and were more likely to reference the applicant's spouse's accomplishments.…”
Section: Letters Of Recommendationmentioning
confidence: 99%
“…Understanding gender disparity in the academic eld would help in selecting candidates for professions. Despite that there was no gender difference in students' performance on computer-based examinations [27], gender-based disparity was studied and proved in medical education and in non-cognitive factors [28][29][30][31][32]. A study has shown that student ability in computer-based examinations were not affected [27].…”
Section: Discussionmentioning
confidence: 99%