Abstract

The Self-Compassion Scale (SCS) is one of the several tools for measuring compassionate self-attitude. Despite its popularity, there is an ongoing controversy regarding its factor structure. Previous studies employing exploratory structural equation modeling (ESEM) found support for the single-bifactor (one general and six group factors) model over the competing two-bifactor (two general factors representing compassionate and uncompassionate self-responding and six group factors) model. Here, we replicated and extended previous ESEM studies through examining the validity and dimensionality of different bifactor models in a sample of UK adults. Model fit was examined across two estimators: maximum likelihood and weighted least square mean and variance adjusted. Finally, we investigated whether one or two observed scores of the SCS can better identify cases of depression, anxiety, and mental wellbeing. Both bifactor models showed good fit to the data irrespective of the estimators used, but only the single-bifactor model demonstrated satisfactory convergent and criterion validity and unidimensionality. The total observed SCS score detected depression, anxiety and high mental wellbeing with higher accuracy than any of the two scores. Overall, we propose to use the total score of the SCS in further research and practice.

摘要

自我同情量表 (SCS) 是衡量富有同情心的自我态度的几种工具之一。尽管它很受欢迎，但关于它的因素结构一直存在争议。以前采用探索性结构方程模型 (ESEM) 的研究发现，单双因素（一个一般因素和六个群体因素）模型比竞争性双因素（两个代表同情和非同情性自我反应的一般因素和六个群体因素）模型的支持。在这里，我们通过检查英国成年人样本中不同双因子模型的有效性和维度来复制和扩展以前的 ESEM 研究。通过两个估计量检查模型拟合：最大似然和加权最小二乘均值和方差调整。最后，我们调查了一个或两个观察到的 SCS 分数是否可以更好地识别抑郁、焦虑和心理健康的案例。无论使用何种估计量，两种双因子模型均显示出与数据的良好拟合，但只有单双因子模型表现出令人满意的收敛性和标准有效性和单维性。观察到的 SCS 总分检测抑郁、焦虑和高度心理健康的准确性高于这两个分数中的任何一个。总体而言，我们建议在进一步的研究和实践中使用 SCS 的总分。观察到的 SCS 总分检测抑郁、焦虑和高度心理健康的准确性高于这两个分数中的任何一个。总体而言，我们建议在进一步的研究和实践中使用 SCS 的总分。观察到的 SCS 总分检测抑郁、焦虑和高度心理健康的准确性高于这两个分数中的任何一个。总体而言，我们建议在进一步的研究和实践中使用 SCS 的总分。