School of Psychology, South China Normal University, Guangzhou 510631, China.
Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, South China Normal University, Guangzhou 510631, China.
Int J Environ Res Public Health. 2021 Apr 15;18(8):4208. doi: 10.3390/ijerph18084208.
The Difficulties in Emotion Regulation Scale (DERS), as one of the most frequently employed measures of emotion regulation (ER), has increasingly been used in numerous researches and applications. However, the structures derived from previous factor-analytic studies have a high degree of inconsistency. In the current study, both the traditional factor analysis method and novel (bifactor) modeling approaches were employed to examine the most optimal measurement structure of the DERS in a sample of 1036 Chinese participants. After a series of comparisons, the findings indicated that the bifactor model, with a general ER factor and four distinct subdimensions, was the most optimal structure for the DERS. Based on the study's findings, the discussion was focused mainly on the future directions and the implications of this bifactor model. The impact and limitations of the study were also discussed, and several suggestions for future research were provided at the end of the paper.
《情绪调节困难量表（DERS）》作为情绪调节（ER）最常用的测量工具之一，在众多研究和应用中被越来越多地使用。然而，之前的因子分析研究得出的结构具有高度的不一致性。在本研究中，我们同时采用传统的因子分析方法和新颖的（双因素）建模方法，对 1036 名中国被试样本中 DERS 的最佳测量结构进行了检验。经过一系列比较，研究结果表明，双因素模型，即一个普遍的 ER 因素和四个不同的子维度，是 DERS 的最佳结构。基于研究结果，本文主要讨论了未来的研究方向和这个双因素模型的意义。此外，还讨论了研究的影响和局限性，并在文末提出了对未来研究的建议。
