[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-201614-105":59,"doc-detail-201614-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","medical-school-applicant-characteristics-associated-with-performance-in-multiple-mini-interviews-versus-traditional-interviews-a-multi-institutional-study","Medical School Applicant Characteristics Associated With Performance in Multiple Mini-Interviews Versus Traditional Interviews - A Multi-Institutional Study","","Study examines how medical school applicant characteristics relate to performance in multiple mini-interviews (MMIs) versus traditional interviews (TIs) across five California schools. Using retrospective admissions data from 2011–2013, analyses compare associations with interview outcomes standardized as z scores. Findings indicate disadvantaged applicants have higher TI scores but lower MMI scores, while underrepresented-in-medicine status and MCAT score show no association with interview performance. Results suggest implications for workforce diversity and highlight the need for further multi-institutional research.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/medical-school-applicant-characteristics-associated-with-performance-in-multiple-mini-interviews-versus-traditional-interviews-a-multi-institutional-study/201614/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/medical-school-applicant-characteristics-associated-with-performance-in-multiple-mini-interviews-versus-traditional-interviews-a-multi-institutional-study/201614.png","ImageObject",300,407,{"name":92,"@type":93},"Emma Mercer","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-22","2026-09-04",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",13,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"Which applicant characteristics are analyzed for their association with interview performance?","Question",{"text":113,"@type":114},"The study evaluates underrepresented in medicine (UIM) status, disadvantaged (DA) status, undergraduate GPA, MCAT score, demographic factors, and interview-related variables such as prior number of interviews.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"How do disadvantaged (DA) applicants perform differently in MMIs versus traditional interviews?",{"text":118,"@type":114},"DA applicants show higher traditional interview (TI) scores but lower multiple mini-interview (MMI) scores compared with non-DA applicants.",{"name":120,"@type":111,"acceptedAnswer":121},"What is the relationship between MCAT score and interview performance?",{"text":122,"@type":114},"MCAT score is not associated with interview performance in either MMIs or TIs, and UIM status is also unrelated to performance.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},201614,1788535968,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":29,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":130,"read_time":144,"preview_page_count":4},962084925502,"https://ap-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","Downloaded from [https://journals.lww.com/academicmedicine by BhDMf5ePHKav1zEoum1tQfN4a+kJLhEZgbsIHo4XMi0hCywCX1AWnYQp/IlQrHD3JvjgSxPcaSIyZEnh9WR36tblzp6RQk1qkD4wkA+1wrW0bBtiDicakg== on 06/14/2020](https://journals.lww.com/academicmedicine by BhDMf5ePHKav1zEoum1tQfN4a+kJLhEZgbsIHo4XMi0hCywCX1AWnYQp/IlQrHD3JvjgSxPcaSIyZEnh9WR36tblzp6RQk1qkD4wkA+1wrW0bBtiDicakg== on 06/14/2020)  \nMedical School Applicant Characteristics Associated With Performance in Multiple Mini-Interviews Versus Traditional Interviews: A Multi-Institutional Study  \nMark C. Henderson, MD, Carolyn J. Kelly, MD, Erin Griffin, PhD, Theodore R. Hall, MD, Anthony Jerant, MD, Ellena M. Peterson, MD, Julie A. Rainwater, PhD,  \nFrancis J. Sousa, MD, David Wofsy, MD, and Peter Franks, MD  \n\n| Abstract |  |  |\n| --- | --- | --- |\n| Purpose | Admission Test (MCAT) score, and | on both MMIs and TIs. Higher GPA |\n| To examine applicant characteristics associated with multiple mini-interview (MMI) or traditional interview (TI) | interview score (standardized as z score; mean = 0; SD = 1) . Adjusted linear regression analyses, stratified by | was associated with lower MMI scores (z score, per unit GPA = −0 .26; 95% CI = −0 .45, −0 .06) but unrelated to |\n| performance at five California medical schools.\u003Cbr>Method\u003Cbr>Of the five California Longitudinal Evaluation of Admission Practices consortium schools, three used TIsand two used MMIs. Schools provided | interview type, examined associations with interview performance.\u003Cbr>Results\u003Cbr>The 4,993 applicants who completed 7,516 interviews included 931 (18 . 6%) UIM and 962 (19 .3%) DA individuals;\u003Cbr>3,226 (64 . 6%) had only 1 interview. | TI scores. DA applicants had higher TI scores (z score = 0. 17; 95% CI = 0.07, 0.28) but lower MMI scores (z score = −0 . 18; 95% CI = −0 .28, −0 .08) than non-DA applicants. Neither UIM status nor MCAT score was associated with interview performance. |\n| retrospective data on 2011–2013 admissions cycle interviewees:\u003Cbr>age, gender, race/ethnicity (underrepresented in medicine [UIM] or not), disadvantaged (DA) status, undergraduate GPA, Medical College | Mean age was 24.4 (SD = 2. 7); mean GPA and MCAT score were 3.72\u003Cbr>(SD = 0.22) and 33.6 (SD = 3. 7), respectively. Older age, female gender, and number of prior interviews were associated with better performance | Conclusions\u003Cbr>These findings have potentially important workforce implications, particularly regarding MMI performance of DA applicants, and illustrate the need for other multi-institutional studies. |\n\nEditor’s Note: An Invited Commentary on this article by H. Reiter and K. Eva appears on pages 969–971.  \n\n| Tthehhe inight-ervistakeew is a key ds medical secterhomol inantadmisinsions process,1–3 yet there is little empirical research examining what factors affect interview performance. Most reports are surveys or single-institution studies, which have limited generalizability.4 The Association of American Medical Colleges (AAMC) publishes school-specific and aggregate national data on matriculants, but those data do not include information on interviews.5 |\n| --- |\n| Please see the end of this article for information about the authors.\u003Cbr>Correspondence should be addressed to Mark C. Henderson, Department of Internal Medicine, University of California, Davis, School of Medicine, 4150 V St. \\#3100, Sacramento, CA 95817;\u003Cbr>telephone: (916) 734-2812; e-mail: mchenderson@ [ucdavis.edu](ucdavis.edu). |\n\nAcad Med. 2018;93:1029–1034 .  \nFirst published online October 31, 2017  \ndoi: 10. 1097/ACM.0000000000002041 Copyright © 2017 by the Association of American Medical Colleges  \nBackground  \nIn a survey of 120 U.S. and Canadian medical schools, admissions officers reported that Medical College Admission Test (MCAT) scores and undergraduate grade point average (GPA) were the most important factors in deciding whom to interview, whereas letters of recommendation and interview performance were more important factors in making acceptance dec","cbCaiuiCILyXyZq6","https://ap.wps.com/l/cbCaiuiCILyXyZq6","pdf",127110,"English","# Abstract\n## Purpose\n## Method\n## Results\n## Conclusions\n# Background\n## Context and prior evidence\n## Need for multi-institutional studies","[{\"question\":\"Which applicant characteristics are analyzed for their association with interview performance?\",\"answer\":\"The study evaluates underrepresented in medicine (UIM) status, disadvantaged (DA) status, undergraduate GPA, MCAT score, demographic factors, and interview-related variables such as prior number of interviews.\"},{\"question\":\"How do disadvantaged (DA) applicants perform differently in MMIs versus traditional interviews?\",\"answer\":\"DA applicants show higher traditional interview (TI) scores but lower multiple mini-interview (MMI) scores compared with non-DA applicants.\"},{\"question\":\"What is the relationship between MCAT score and interview performance?\",\"answer\":\"MCAT score is not associated with interview performance in either MMIs or TIs, and UIM status is also unrelated to performance.\"}]","Medical School Applicant Characteristics Associated With Performance in Multiple Mini-Interviews Versus Traditional Interviews - A Multi-Institutional Study | PDF",15]