Naval Medical Center San Diego, San Diego, CA 92134, USA.
Mil Med. 2024 Nov 5;189(11-12):e2673-e2677. doi: 10.1093/milmed/usae190.
Despite the importance of linguistic analysis, no systematic research has been explored in the form of linguistic analysis on personal statements for military orthopedic surgery residency programs. This study was conducted to analyze U.S. Navy (USN) orthopedic surgery applicants' personal statements using an automated textual analysis program to assess personal statements for linguistic styles.
A retrospective analysis of USN orthopedic applicant personal statements from application years 2016 to 2019 was performed utilizing the Linguistic Inquiry and Word Count (LIWC) software. LIWC analyzed the text for summary variables: analytical thinking, clout, authenticity, and emotional tone. We compared this analysis with Step 1 and Step 2 scores and determined whether an applicant matched.
A total of 94 personal statements (60,230 words) were analyzed using LIWC. The average word count was 640.7, with an average of 23 words per sentence. The average-matched applicant USMLE Step 1 and Step 2 scores were 240 and 250, respectively. When examining summary traits utilizing multiple logistic regression analysis, only analytical thinking demonstrated a statistically significant difference in matched versus unmatched applicants with a P = .011 (OR = 1.10).
As the USMLE Step 1 exam transitions from a scoring system to Pass/Fail grading, programs will look at other characteristics to determine who would likely succeed in residency. From a linguistic analysis standpoint, matched applicants' personal statements demonstrated higher analytical thinking, clout, affiliation, power, and risk focus than unmatched applicants. Unmatched applicants demonstrated higher authenticity than matched applicants.
尽管语言分析很重要,但针对军事骨科住院医师项目个人陈述的语言分析形式,尚未进行系统研究。本研究旨在使用自动化文本分析程序分析美国海军(USN)骨科申请的个人陈述,以评估个人陈述的语言风格。
对 2016 年至 2019 年 USN 骨科申请个人陈述进行回顾性分析,使用语言探究和词汇计数(LIWC)软件。LIWC 分析了总结变量的文本:分析性思维、影响力、真实性和情感基调。我们将此分析与步骤 1 和步骤 2 的分数进行比较,并确定申请人是否匹配。
共分析了 94 份个人陈述(60230 字),使用 LIWC。平均字数为 640.7,平均每个句子有 23 个单词。平均匹配的申请人 USMLE 步骤 1 和步骤 2 分数分别为 240 和 250。当利用多元逻辑回归分析检查总结特征时,只有分析性思维在匹配与不匹配的申请人之间具有统计学差异(P=0.011;OR=1.10)。
随着 USMLE 步骤 1 考试从评分系统转变为通过/失败的评分系统,各项目将寻找其他特征来确定谁可能在住院医师培训中取得成功。从语言分析的角度来看,匹配的申请人的个人陈述显示出比不匹配的申请人更高的分析性思维、影响力、归属感、权力和风险关注度。不匹配的申请人比匹配的申请人表现出更高的真实性。