概化理论
医学教育
可靠性(半导体)
临床办事员
心理学
教育测量
医学
课程
教育学
量子力学
物理
发展心理学
功率(物理)
作者
Nikki L. Bibler Zaidi,Clarence D. Kreiter,Peris Castaneda,Jocelyn Schiller,Jun Yang,Cyril M. Grum,Maya M. Hammoud,Larry D. Gruppen,Sally A. Santen
出处
期刊:Academic Medicine
[Ovid Technologies (Wolters Kluwer)]
日期:2018-04-25
卷期号:93 (8): 1212-1217
被引量:40
标识
DOI:10.1097/acm.0000000000002262
摘要
Purpose Many factors influence the reliable assessment of medical students’ competencies in the clerkships. The purpose of this study was to determine how many clerkship competency assessment scores were necessary to achieve an acceptable threshold of reliability. Method Clerkship student assessment data were collected during the 2015–2016 academic year as part of the medical school assessment program at the University of Michigan Medical School. Faculty and residents assigned competency assessment scores for third-year core clerkship students. Generalizability (G) and decision (D) studies were conducted using balanced, stratified, and random samples to examine the extent to which overall assessment scores could reliably differentiate between students’ competency levels both within and across clerkships. Results In the across-clerkship model, the residual error accounted for the largest proportion of variance (75%), whereas the variance attributed to the student and student–clerkship effects was much smaller (7% and 10.1%, respectively). D studies indicated that generalizability estimates for eight assessors within a clerkship varied across clerkships (G coefficients range = 0.000–0.795). Within clerkships, the number of assessors needed for optimal reliability varied from 4 to 17. Conclusions Minimal reliability was found in competency assessment scores for half of clerkships. The variability in reliability estimates across clerkships may be attributable to differences in scoring processes and assessor training. Other medical schools face similar variation in assessments of clerkship students; therefore, the authors hope this study will serve as a model for other institutions that wish to examine the reliability of their clerkship assessment scores.
科研通智能强力驱动
Strongly Powered by AbleSci AI