Evidence map›Paper›PMID 33921118›Full record

ArticleInternational journal of environmental research and public health2021

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, Minqiang Zhang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Lingling XuSchool of Psychology, South China Normal University, Guangzhou 510631, China.
Jialing LiSchool of Psychology, South China Normal University, Guangzhou 510631, China.
Li YinSchool of Psychology, South China Normal University, Guangzhou 510631, China.
Ruyi JinSchool of Psychology, South China Normal University, Guangzhou 510631, China.
Qi XueSchool of Psychology, South China Normal University, Guangzhou 510631, China.
Qianyi LiangSchool of Psychology, South China Normal University, Guangzhou 510631, China.
Minqiang ZhangSchool of Psychology, South China Normal University, Guangzhou 510631, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Emotional RegulationAffective SymptomsChinaFactor Analysis, StatisticalHumansPsychometricsbifactor modelDifficulties in Emotion Regulation Scaleemotion regulationfactor analysis

Identifiers

PMID33921118
PMCPMC8071479

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.