心理学
验证性因素分析
比例(比率)
克朗巴赫阿尔法
可靠性(半导体)
临床心理学
心理弹性
有效性
结构方程建模
社会心理学
心理测量学
数学
量子力学
统计
物理
功率(物理)
作者
Cynda Hylton Rushton,Ginger C. Hanson,Danielle Boyce,Heidi Holtz,Katie Nelson,Edward G. Spilg,Rébecca Robillard
摘要
Abstract Aim To refine the Rushton Moral Resilience Scale (RMRS) by creating a more concise scale, improving the reliability, particularly of the personal integrity subscale and providing further evidence of validity. Background Healthcare workers are exposed to moral adversity in practice. When unable to preserve/restore their integrity, moral suffering ensues. Moral resilience is a resource that may mitigate negative consequences. To better understand mechanisms for doing so, a valid and reliable measurement tool is necessary. Design Cross‐sectional survey. Methods Participants ( N = 1297) had completed ≥1 items on the RMRS as part of the baseline survey of a larger longitudinal study. Item analysis, confirmatory factor analyses, reliability analyses (Cronbach's alpha), and correlations were used to establish reliability and validity of the revised RMRS. Results Item and confirmatory factor analysis were used to refine the RMRS from 21 to 16 items. The four‐factor structure (responses to moral adversity, personal integrity, relational integrity and moral efficacy) demonstrated adequate fit in follow‐up confirmatory analyses in the initial and hold‐out sub‐samples. All subscales and the total scale had adequate reliabilities ( α ≥ 0.70). A higher‐order factor analysis supports the computation of either subscale scores or a total scale score. Correlations of scores with stress, anxiety, depression and moral distress provide evidence of the scale's validity. Reliability of the personal integrity subscale improved. Conclusion and Implications The RMRS‐16 demonstrates adequate reliability and validity, particularly the personal integrity subscale. Moral resilience is an important lever for reducing consequences when confronted with ethical challenges in practice. Improved reliability of the four subscales and having a shorter overall scale allow for targeted application and will facilitate further research and intervention development. Patient/Public Contribution Data came from a larger study of Canadian healthcare workers from multiple healthcare organizations who completed a survey about their experiences during COVID‐19.
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