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

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 inconsisten...

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Detalles Bibliográficos
Autores principales: Xu, Lingling, Li, Jialing, Yin, Li, Jin, Ruyi, Xue, Qi, Liang, Qianyi, Zhang, Minqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071479/
https://www.ncbi.nlm.nih.gov/pubmed/33921118
http://dx.doi.org/10.3390/ijerph18084208
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author Xu, Lingling
Li, Jialing
Yin, Li
Jin, Ruyi
Xue, Qi
Liang, Qianyi
Zhang, Minqiang
author_facet Xu, Lingling
Li, Jialing
Yin, Li
Jin, Ruyi
Xue, Qi
Liang, Qianyi
Zhang, Minqiang
author_sort Xu, Lingling
collection PubMed
description 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.
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spelling pubmed-80714792021-04-26 Examining the Structure of Difficulties in Emotion Regulation Scale with Chinese Population: A Bifactor Approach Xu, Lingling Li, Jialing Yin, Li Jin, Ruyi Xue, Qi Liang, Qianyi Zhang, Minqiang Int J Environ Res Public Health Article 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. MDPI 2021-04-15 /pmc/articles/PMC8071479/ /pubmed/33921118 http://dx.doi.org/10.3390/ijerph18084208 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xu, Lingling
Li, Jialing
Yin, Li
Jin, Ruyi
Xue, Qi
Liang, Qianyi
Zhang, Minqiang
Examining the Structure of Difficulties in Emotion Regulation Scale with Chinese Population: A Bifactor Approach
title Examining the Structure of Difficulties in Emotion Regulation Scale with Chinese Population: A Bifactor Approach
title_full Examining the Structure of Difficulties in Emotion Regulation Scale with Chinese Population: A Bifactor Approach
title_fullStr Examining the Structure of Difficulties in Emotion Regulation Scale with Chinese Population: A Bifactor Approach
title_full_unstemmed Examining the Structure of Difficulties in Emotion Regulation Scale with Chinese Population: A Bifactor Approach
title_short Examining the Structure of Difficulties in Emotion Regulation Scale with Chinese Population: A Bifactor Approach
title_sort examining the structure of difficulties in emotion regulation scale with chinese population: a bifactor approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8071479/
https://www.ncbi.nlm.nih.gov/pubmed/33921118
http://dx.doi.org/10.3390/ijerph18084208
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