مراقبت پرستاری و مامایی ابن سینا (Jan 2021)
Psychometric Characteristics of Multidimensional Measure of Nurses’ Personal Resilience
Abstract
Background and Aims: Nurses face too much stressors as work-rest cycle problems, overload responsibility, lack of vacation time and painful experiences of patients; therefore, resiliency can help them to appropriate and efficient cope with these stressors. But, there is no brief and practical scale to assess psychological resiliency among nurses in Iran. So, the aim of the present study was to evaluate the psychometric properties of the multidimensional measure of nurses’ personal resilience. Methods: In this methodological study, 120 nurses from Amol’s hospitals were studied using a convenience sampling method who filled the multidimensional measure of nurses’ personal resilience. The multidimensional measure of nurses’ personal resilience is composed of 40 items. The psychometric properties were examined through the Nominal validity, Content Validity, Concurrent validity, Construct validity. The data was analyzed by SPSS 22. Results: Nomianl and content validity were approved by five psychologists. The KMO index and Bartlett's test of sphericity indicated that correlation matrices were suitable for factor analysis. Factor analysis with Principal Component Analysis extracted one factor with 55.21% total variance. Internal consistency was confirmed by a Cronbach’s alpha of 0.86 and there was no change in number of components or dimensions and questions. Conclusion: This study showed that the multidimensional measure of nurses’ personal resilience had appropriate psychometric properties and is a valid and reliable screening index to measure psychological resiliency of nurses. This index could facilitate the assessing of Well-Being in brief and practical way among nurses.
