Extravert Surgical Resident Applicants Get Higher 360-Degree Evaluations From Coworkers

Journal of Surgical Research(2024)

引用 0|浏览0
暂无评分
摘要
Introduction 360-degree evaluations are used as an assessment in order to identify strengths and weaknesses of, or as a continuous evaluation for, residents. The aim of this study was to investigate the relationship between personality and ratings on 360-degree evaluations among surgical residency applicants. A secondary aim was to describe the personality profile of applicants for a surgical residency position. Methods Doctors interviewed for a residency or locum position in general, urology, or pediatric surgery were included. Participants rated their personality on the Neutralized Big Five Inventory. A 360-degree assessment was conducted. Scores from two laparoscopic simulators were used as a measure of technical ability. Univariate analyses were used to assess the results. Student's t-test was used to compare personality and Pearson correlations between 360-degree assessment and personality. Results Fifty doctors participated: data were complete for 38. Personality profiles showed higher emotional stability, agreeableness, conscientiousness and openness ratings than the norm. Correlations revealed a significant relationship between extraversion and higher scores on the 360-degree assessments. Significant univariate correlations were found between extraversion and the 360-degree assessments, and two of the correlations held up after adjustment for multiple tests. No correlations with performance when using laparoscopic simulators were found. Conclusions Applicants for surgical residency rated significantly higher than the norm in four personality domains. Extraversion correlated with overall higher scores in 360-degree assessments by coworkers. Higher scores were not related to objective measures of technical skill, highlighting the importance of using objective measures for assessment.
更多
查看译文
关键词
360-Degree evaluation,Applicants,Assessment,Personality profile,Recruitment,Surgical residents
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要