[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-201580-en":3,"doc-seo-201580-105":30,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":27,"seo_description":14,"update_tm":28,"read_time":29},201580,137441390410,"Hazel","https://ap-avatar.wpscdn.com/avatar/2000252f4ab5702993?_k=1776741390130283984",4,"Exam","A Predictive Model for USMLE Step 1 Scores","Purpose, method, results, and conclusions describe the development of a predictive model for USMLE Step 1 scores using multiple student-related factors. After IRB approval, two consecutive second-year medical school classes completed surveys covering study time, resources, question-bank performance, group habits, and need-based financial aid. Statistical analysis used SPSS with one-way ANCOVA and multiple linear regression. Step 1 scores correlated with CBSE prior to dedicated study, UWorld percent-correct, straight As in first year, and financial need, with a model explaining 62.3% of score variability.","Received 05/30/2016  \nReview began 06/04/2016  \nReview ended 08/25/2016  \nPublished 09/07/2016  \n© Copyright 2016  \nGiordano et al. This is an open access article distributed under the terms of the Creative Commons Attribution License CCBY 3.0. , which permits unrestricted use , distribution , and reproduction in any medium , provided the original author and source are credited.  \nDOI: 10.7759/cureus.769  \nOpen Access Original Article  \n Published via University of Central Florida  \nA Predictive Model for USMLE Step 1 Scores  \nChristin Giordano 1, David Hutchinson 1, Richard Peppler 1  \n1. Faculty and Academic Affairs, University of Central Florida College of Medicine Corresponding author: Christin Giordano, [giordano.christin@gmail.com](giordano.christin@gmail.com)  \nAbstract  \nPurpose  \nThe United States Medical Licensing Examination (USMLE) Step 1 plays a pivotal role in one’s residency application. While prior literature has investigated which factors influence performance on the examination, the authors sought to include factors such as performance on a well-used question bank and financial need to develop a predictive model.  \nMethod  \nAfter obtaining institutional review board approval, the authors surveyed two consecutive second-year medical school classes and correlated the data to the students’ Step 1 and National Board of Medical Examiners (NBME) Comprehensive Basic Science Examination (CBSE) scores. The survey included questions such as how many days they studied per week, how many days they studied in total, which resources they used, how they performed on question banks, group studying habits, and whether they were receiving financial aid. The authors also assessed whether the students received only A letter grades during the first year of medical school. The authors used SPSS® Statistics V22.0 (IBM® Corporation, NY, USA ) and included one-way analysis of covariance (ANOVA) and multiple linear regression for statistical analysis.  \nResults  \nEighty-one students completed the survey with an average Step 1 score of 240 .5 and with an average study time of 39 .5 days. The Step 1 Scores significantly correlated with the CBSE taken immediately preceding the dedicated study period (r=0 .711, P=\u003C0 .001), UWorld Question Bank (UWorld) percentage correct (r = 0.622, P\u003C0 .001), straight As during first-year (r=0 .356, P=0 .001), and financial need (r=0 .318, P=0 .01) . The scores were not correlated with age, gender, Medical College Admissions Test (MCAT), prior medical training, number of days studied, or the students’ perception of appropriate time studied. The authors developed a predictive model accounting for 62.3% of the variability. 140.625+(0 .319xCBSE)-(3 .817xA)+(5 .845xN)+(0 .452xU), where A=1 if straight As, N=1 if receiving need-based scholarship, U=UWorld percent-correct, and CBSE=the three-digit score of the CBSE taken prior to the dedicated study period.  \nConclusions  \nAcademic performance and financial need may predict Step 1 scores. Interestingly, the number of days studied did not have a correlation with scores, suggesting that increased length of study may not ameliorate poor grades.  \nCategories: Medical Education  \nKeywords: step 1, usmle, step 1 score  \nIntroduction  \nThe United States Medical Licensing Examination (USMLE) Step 1 exam is the first of three required exams for the practice of medicine as a physician within the United States. Because studies have found that higher USMLE scores are associated with improved faculty evaluations and first-time board pass rates, it is held in extremely high regard by residency programs nationwide and can affect placement into competitive residencies [1-2]. In fact, in the 2014 National Resident Matching Program Director Survey, 94% of the 1,793 residency programs directors spanning all medical specialties cited Step 1 scores as an important factor with a rating of 4 .1 out of 5, and it was cited more than any other factor in the survey [3] . As such, the St","cbCairXJtgRZEdbG","https://ap.wps.com/l/cbCairXJtgRZEdbG","pdf",246317,1,6,"English","en",105,"# Abstract\n## Purpose\n## Method\n## Results\n## Conclusions\n# Introduction\n# Materials and Methods\n# Results\n# Conclusions","[{\"question\":\"What factors were used to build the predictive model for USMLE Step 1 scores?\",\"answer\":\"The model incorporated CBSE performance taken immediately before dedicated study, UWorld question bank percent-correct, first-year straight As, and whether the student received need-based scholarship (financial need).\"},{\"question\":\"How were the study data collected for the analysis?\",\"answer\":\"After IRB approval, the authors surveyed two consecutive second-year medical school classes and correlated survey responses with students’ Step 1 and NBME CBSE scores.\"},{\"question\":\"Did study duration relate to Step 1 scores in the results?\",\"answer\":\"No. Step 1 scores were not correlated with the number of days studied, indicating that longer study time was not associated with better scores in this dataset.\"}]","A Predictive Model for USMLE Step 1 Scores | 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factors were used to build the predictive model for USMLE Step 1 scores?","Question",{"text":74,"@type":75},"The model incorporated CBSE performance taken immediately before dedicated study, UWorld question bank percent-correct, first-year straight As, and whether the student received need-based scholarship (financial need).","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"How were the study data collected for the analysis?",{"text":79,"@type":75},"After IRB approval, the authors surveyed two consecutive second-year medical school classes and correlated survey responses with students’ Step 1 and NBME CBSE scores.",{"name":81,"@type":72,"acceptedAnswer":82},"Did study duration relate to Step 1 scores in the results?",{"text":83,"@type":75},"No. Step 1 scores were not correlated with the number of days studied, indicating that longer study time was not associated with better scores in this 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