[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-462679-105":59,"doc-detail-462679-en":130},{"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":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","selection-into-medicine-using-interviews-and-other-measures-much-remains-to-be-learned","Selection into Medicine Using Interviews and Other Measures - Much Remains to Be Learned","","The study evaluates the effectiveness of a medical program panel admission interview as a selection tool and proposes improvements to the overall admission tools battery. Data from 1,024 students across four cohorts were analyzed using exploratory factor analysis and hierarchical linear regressions. Interview sub-scores showed high inter-correlations and loaded strongly on a single factor, yet admission tools explained only limited variance in key outcome measures. Conclusions emphasize that each tool measures distinct attributes, supporting independent assessment of interview procedures and questions.",{"@graph":69,"@context":122},[70,84,105],{"@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":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/selection-into-medicine-using-interviews-and-other-measures-much-remains-to-be-learned/462679/",{"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/selection-into-medicine-using-interviews-and-other-measures-much-remains-to-be-learned/462679.png","ImageObject",300,407,{"name":92,"@type":93},"eBook King","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-28","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":24},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What was the main objective of the study?","Question",{"text":112,"@type":113},"To identify how effective the panel admission interview is as a selection tool for the medical program and to determine possible improvements to the selection tools battery.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How did the researchers analyze the admission tools and interview results?",{"text":117,"@type":113},"They used exploratory factor analysis (principal component analysis) to uncover underlying factors and hierarchical linear regressions to test how well the tools predict medical program performance.",{"name":119,"@type":110,"acceptedAnswer":120},"What did the study conclude about admission tools and interview questions?",{"text":121,"@type":113},"Each admission tool measures different attributes, and the admission interview procedures and the interview questions should be assessed independently.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},462679,1792161691,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":24,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"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":144,"read_time":41,"preview_page_count":4},962088006270,"https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45","Selection into medicine using interviews and other measures: Much remains to be learned  \nColleen Ma  \nThe University of Sydney  \nPeter Harris, Andrew Cole, Phil Jones and Boaz Shulruf  \nUniversity of New South Wales  \nThe objectives of this study were to identify the effectiveness of the panel admission interview as a selection tool for the medical program and identify improvements in the selection tools battery. Data from 1024 students, representing four cohorts of students were used in this study. Exploratory factor analysis using principal component analysis was used to identify underlying factors within the admission tools. A series of hierarchical linear regressions was employed to identify the predictability of performance in the medical program by the admission tools. Although the admission tools yielded low correlations with one another (r\u003C.30), correlations between interview sub-scores were high (.435\u003Cr\u003C.640) . All interview sub-scores loaded on to a single factor explaining over 60% of the variance. The admission tools and the interview overall scores explained less than 13.5% and 3.8%(respectively) of the variance in the key outcome measures. We concluded that each admission tool measured different attributes, and suggest that admission interview procedures and the interview questions should be assessed independently.  \nIntroduction  \nIt is common experience that the number of medical school applicants greatly exceeds the number of available places in each program (Barzansky & Etzel, 2003) . Therefore, the admission process plays an important role in helping to identify those students with the desired skills and attributes to be successful in the medical program. The selection of students involves the use of a combination of admission tools in order to determine the most suitable candidates. Some institutions also aim to increase the diversity of their medical students measured by different social determinants (Lakhan, 2003; Puddey & Mercer, 2013) which have been found to impact on student self-concept, learning and later, on their career choices (Poole, Bourke & Shulruf, 2010; Yeung, Li, Wilson & Craven, 2013) . It is noteworthy that medical school selection tools are rarely designed to correlate with particular assessments within the medical program (Eva, Reiter, Rosenfeld, Trinh, Wood & Norman, 2012) . Admission tools that are widely used around the world consider previous grades (GPA), aptitude or achievement tests, interviews, reference letters and personal essays (Adam, Dowell & Greatrix, 2011; AAMC, 2017; Eva, Reiter, Rosenfeld, Trinh, Wood & Norman, 2012; Mercer & Puddey, 2011; Prideaux et al., 2011; Shulruf, Poole, Wang, Rudland & Wilkinson, 2012; Wilkinson, Zhang & Parker, 2011; Wright & Bradley, 2010) . Despite the plethora of research in this area, predicting performance in the medical program, including timely completion, remains a major challenge (Shulruf et al., 2012) .  \nPrevious academic performance, measured by GPA, was found to be the strongest predictor of subsequent academic success and future career placement, yet the  \n624 Selection into medicine using interviews and other measures: Much remains to be learned  \npredictability of academic success is stronger for the early years and drops towards the end of the program (Cohen-Schotanus et al., 2006; Collins & White, 1993; Dowell et al., 2011; McManus et al., 2005; Shulruf, Poole, Wang, Rudland & Wilkinson, 2012; Silver & Hodgson, 1997; Wilkinson et al., 2008) . Aptitude and achievement tests such as the Undergraduate Medicine and Health Sciences Admissions Test (UMAT), Medical College Admissions Test (MCAT) and the UK Clinical Aptitude Test (UKCAT) are also becoming prevalent in the medical program admissions process. Of the three mentioned, both the UMAT and UKCAT are considered to be purely aptitude tests, while some sections of the MCAT (which are used for graduate entry programs) are deemed to measure academic knowledge previously acquired ","cbCaie4Rb7QCVYW5","https://ap.wps.com/l/cbCaie4Rb7QCVYW5","pdf",214485,12,"English","# Introduction\n## Study objectives and data analysis approach\n## Predictors in medical program selection (GPA and tests)\n## Interview role and limitations\n## Reliability and interview formats (e.g., MMI)\n## Context and ongoing challenges in prediction","[{\"question\":\"What was the main objective of the study?\",\"answer\":\"To identify how effective the panel admission interview is as a selection tool for the medical program and to determine possible improvements to the selection tools battery.\"},{\"question\":\"How did the researchers analyze the admission tools and interview results?\",\"answer\":\"They used exploratory factor analysis (principal component analysis) to uncover underlying factors and hierarchical linear regressions to test how well the tools predict medical program performance.\"},{\"question\":\"What did the study conclude about admission tools and interview questions?\",\"answer\":\"Each admission tool measures different attributes, and the admission interview procedures and the interview questions should be assessed independently.\"}]","Selection into Medicine Using Interviews and Other Measures - Much Remains to Be Learned | PDF",1790764872]