某高校临床医学八年制医学统计学软件试卷分析

Analysis of Medical Statistics Software Examination for 8-Year Clinical Medicine Program at a Certain University

摘要: 目的：评价某高校临床医学八年制医学统计学软件考试试卷质量。方法：对某高校2022级临床医学八年制95名学生的医学统计学软件考试试卷进行系统分析，从成绩分布、试题难度、区分度、信度和覆盖度等维度评估试卷质量。结果：平均成绩79.94分，中位成绩为81分，及格率为94.74%，合计失分率为20.1%。试卷总体难度中等偏易(P = 0.80)，区分度良好(D = 0.30)，信度可靠(Cronbach’s α = 0.78)，但覆盖度不足。结论：软件教学问题主要体现在高级统计方法应用能力薄弱、理论与操作融合不足。建议优化命题设计、加强教学过程管理，并引入R软件等工具提升学生处理复杂数据的能力。

Abstract: Objective: To evaluate the quality of the medical statistics software examination papers for the eight-year clinical medicine program at a certain university. Methods: This study conducted a systematic analysis of medical statistics software examination papers for 95 students from the 2022 cohort of an eight-year clinical medicine program at a university, evaluating paper quality across multiple dimensions, including score distribution, question difficulty, discrimination, reliability, and coverage. Results: Average score was 79.94, median score was 81, pass rate was 94.74%, and total score loss rate was 20.1%. The overall difficulty level was moderate-to-easy (P = 0.80), with good discrimination (D = 0.30) and reliable internal consistency (Cronbach’s α = 0.78), though coverage was insufficient. Conclusion: Software teaching deficiencies are primarily manifested in weak application skills for advanced statistical methods and inadequate integration of theoretical knowledge with practical operations. Recommendations include optimizing test design, strengthening the management of teaching processes, and introducing tools like R software to enhance students’ complex data processing capabilities.