ORIGINAL ARTICLE
Validation of the knowledge on the Noor evidence-based medicine questionnaire for healthcare professionals: Rasch analysis
 
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1
Department of Family Medicine, School of Medical Sciences, Health Campus, Universiti Sains Malaysia, Kubang Kerian, Kelantan, MALAYSIA
 
2
Klinik Kesihatan Putatan, Jalan Pasir Putih, Putatan, Sabah, MALAYSIA
 
3
Department of Medicine, Faculty of Medicine, Universiti Malaya, Wilayah Persekutuan Kuala Lumpur, MALAYSIA
 
 
Online publication date: 2023-08-06
 
 
Publication date: 2023-11-01
 
 
Electron J Gen Med 2023;20(6):em534
 
KEYWORDS
ABSTRACT
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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