医疗保健专业人员对Noor循证医学问卷知识的验证:Rasch分析

IF 1 Q3 MEDICINE, GENERAL & INTERNAL Electronic Journal of General Medicine Pub Date : 2023-11-01 DOI:10.29333/ejgm/13535
M. N. Norhayati, Mat Nawi Zanaridah, Ruhana Che Yusof
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引用次数: 0

摘要

目的:本研究旨在使用Rasch测量模型检验Noor循证医学(EBM)问卷知识的结构验证。方法:对90名在政府医院工作的医护人员进行横断面研究。Rasch模型用于研究统计学、单维度、极性、不匹配和Wright映射的分布。结果:Rasch分析显示,15个项目的项目可靠性较高,为0.96,而人的可靠性为0.81。K15项为缺火(PtMea Corr=0.22,装备MnSq=1.95,装备z-std=5.00,infit MnSq=1.63,infit z-std=3.60);该项目对规模的构建没有贡献,但不会降级。三个项目(K1、K14和K9)即使是能力较低的受访者也可以轻松回答。结论:Noor EBM问卷知识强大,具有良好的心理测量特性,可用于研究和临床目的。
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Validation of the knowledge on the Noor evidence-based medicine questionnaire for healthcare professionals: Rasch analysis
Aim: This study aimed to examine the construct verification of the knowledge on the Noor evidence-based medicine (EBM) questionnaire using the Rasch measurement model. Methods: A cross-sectional study was conducted among ninety healthcare professionals working in a government hospital. The Rasch model was used to investigate the distribution of statistics, unidimensionality, polarity, misfit, and Wright map. Results: The Rasch analysis showed that the 15 items had high reliability of items at 0.96, while reliability for persons were 0.81. Item K15 is a misfit (PtMea Corr=0.22, outfit MnSq=1.95, outfit z-std=5.00, infit MnSq=1.63, infit z-std=3.60); the item does not contribute to the construction of scale but not degrading. Three items (K1, K14, and K9) can easily be answered even by low ability respondents. Conclusions: The Noor EBM questionnaire knowledge is robust with excellent psychometric properties that can be used for both research and clinical purposes.
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来源期刊
Electronic Journal of General Medicine
Electronic Journal of General Medicine MEDICINE, GENERAL & INTERNAL-
CiteScore
3.60
自引率
4.80%
发文量
79
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