Examining the Structure of Difficulties in Emotion Regulation Scale with Chinese Population: A Bifactor Approach

• Main Authors: Lingling Xu, Jialing Li, Li Yin, Ruyi Jin, Qi Xue, Qianyi Liang, Minqiang Zhang
• Format: Article
• Language: English
• Published: MDPI AG 2021-04-01
• Series: International Journal of Environmental Research and Public Health
• Subjects: emotion regulation; Difficulties in Emotion Regulation Scale; factor analysis; bifactor model
• Online Access: https://www.mdpi.com/1660-4601/18/8/4208

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.