“The Questions Shape the Answers”: Assessing the Quality of Published Survey Instruments in Health Professions Education Research

印为红字的 医学教育 利克特量表 心理学 最佳实践 调查研究 可靠性(半导体) 描述性统计 质量(理念) 应用心理学 编码(社会科学) 测量数据收集 测量仪器 医学 统计 数学教育 数学 政治学 功率(物理) 哲学 认识论 量子力学 发展心理学 法学 物理
作者
Anthony R. Artino,Andrew W. Phillips,Amol Utrankar,Andrew Ta,Steven J. Durning
出处
期刊:Academic Medicine [Ovid Technologies (Wolters Kluwer)]
卷期号:93 (3): 456-463 被引量:70
标识
DOI:10.1097/acm.0000000000002002
摘要

Purpose Surveys are widely used in health professions education (HPE) research, yet little is known about the quality of the instruments employed. Poorly designed survey tools containing unclear or poorly formatted items can be difficult for respondents to interpret and answer, yielding low-quality data. This study assessed the quality of published survey instruments in HPE. Method In 2017, the authors performed an analysis of HPE research articles published in three high-impact journals in 2013. They included articles that employed at least one self-administered survey. They designed a coding rubric addressing five violations of established best practices for survey item design and used it to collect descriptive data on the validity and reliability evidence reported and to assess the quality of available survey items. Results Thirty-six articles met inclusion criteria and included the instrument for coding, with one article using 2 surveys, yielding 37 unique surveys. Authors reported validity and reliability evidence for 13 (35.1%) and 8 (21.6%) surveys, respectively. Results of the item-quality assessment revealed that a substantial proportion of published survey instruments violated established best practices in the design and visual layout of Likert-type rating items. Overall, 35 (94.6%) of the 37 survey instruments analyzed contained at least one violation of best practices. Conclusions The majority of articles failed to report validity and reliability evidence, and a substantial proportion of the survey instruments violated established best practices in survey design. The authors suggest areas of future inquiry and provide several improvement recommendations for HPE researchers, reviewers, and journal editors.

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