Assessing satisfaction in simulation among nursing students: psychometric properties of the Satisfaction with Simulation Experience - Italian Version scale

Background: The Satisfaction with Simulation Experience scale is a 5-point Likert scale that measures students' satisfaction in medium and high-fidelity simulation scenarios. This study aims at investigating the psychometric properties of the Satisfaction with Simulation Experience - Italian Version scale. Methods: A multi-centre cross-sectional study was conducted. The scale was administered to a sample of 266 undergraduate nursing students from two Italian universities after attending a medium- and high-fidelity simulation session in November 2022 and March 2023. Cronbach's alpha coefficient and item-total correlation were sorted out to assess internal consistency and reliability. The test-retest method was used as a measure of scale stability over time as well as the confirmatory factor analysis to verify construct validity. Results: The Cronbach's alpha value was 0.94 for the overall scale, indicating excellent reliability, and it was 0.84 or higher for each subscales, indicating good reliability. A large correlation coefficient of 0.60 or higher was found between each item and its subscale and between each item and the overall scale score. A medium test-retest correlation coefficient was found for most items (r > 0.30). The confirmatory factor analysis confirmed the factorial structure found in the original study. Conclusions: Satisfaction is an important teaching and learning quality indicator along with the achievement of learning outcomes in simulation. The Satisfaction with Simulation Experience - Italian Version scale showed good reliability and validity; therefore, it could be a useful tool to assess simulation impact in Italian nursing students. The extensive utilization of the Satisfaction with Simulation Experience scale, along with its various validated versions, could facilitate assessing satisfaction in simulation across diverse contexts and enable comparisons of findings across studies in different countries.