Validation of the knowledge on the Noor evidence-based medicine questionnaire for healthcare professionals: Rasch analysis

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.