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

Lingling Xu, Jialing Li, Li Yin, Ruyi Jin, Qi Xue, Qianyi Liang and Minqiang Zhang
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Lingling Xu: School of Psychology, South China Normal University, Guangzhou 510631, China
Jialing Li: School of Psychology, South China Normal University, Guangzhou 510631, China
Li Yin: School of Psychology, South China Normal University, Guangzhou 510631, China
Ruyi Jin: School of Psychology, South China Normal University, Guangzhou 510631, China
Qi Xue: School of Psychology, South China Normal University, Guangzhou 510631, China
Qianyi Liang: School of Psychology, South China Normal University, Guangzhou 510631, China
Minqiang Zhang: School of Psychology, South China Normal University, Guangzhou 510631, China

IJERPH, 2021, vol. 18, issue 8, 1-16

Abstract: 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.

Keywords: emotion regulation; Difficulties in Emotion Regulation Scale; factor analysis; bifactor model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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