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审视情绪调节的结构:一种因素分析方法。

Examining the Structure of Emotion Regulation: A Factor-Analytic Approach.

作者信息

Seligowski Antonia V, Orcutt Holly K

机构信息

Northern Illinois University.

出版信息

J Clin Psychol. 2015 Oct;71(10):1004-22. doi: 10.1002/jclp.22197. Epub 2015 Jul 22.

DOI:10.1002/jclp.22197
PMID:26202046
Abstract

OBJECTIVE

Critiques of self-report indices of emotion regulation suggest that its measurement is in need of more critical investigation. The current study examined the factor structure of emotion regulation as informed by Gross' (1998a) Process Model: Situation Selection, Attentional Deployment, Cognitive Change, and Response Modulation.

METHOD

A sample of 553 participants was recruited using Amazon's Mechanical Turk (M(age) = 37.12, SD = 13.66; n = 352 female). Confirmatory factor analysis with maximum likelihood estimation was performed in Mplus.

RESULTS

A four-factor model of emotion regulation demonstrated poor fit. An alternative five-factor model fit the data well: CFI = .94, TLI = .93, RMSEA = .07.

CONCLUSION

Emotion regulation may be better conceptualized as a combination of specific strategy use and a broader construct, called "emotional distancing" (a trait-like disposition towards emotions). Further research is required to determine if the observed five-factor model can be replicated in more diverse samples.

摘要

目的

对情绪调节自我报告指标的批评表明,其测量需要更严格的研究。本研究依据格罗斯(1998a)的过程模型:情境选择、注意力分配、认知改变和反应调节,检验了情绪调节的因素结构。

方法

通过亚马逊的Mechanical Turk招募了553名参与者(年龄均值M = 37.12,标准差SD = 13.66;女性n = 352)。在Mplus中进行了最大似然估计的验证性因素分析。

结果

情绪调节的四因素模型拟合不佳。另一个五因素模型对数据拟合良好:比较拟合指数CFI = 0.94,塔克-刘易斯指数TLI = 0.93,近似误差均方根RMSEA = 0.07。

结论

情绪调节可能更好地被概念化为特定策略使用与一个更宽泛的构念(称为“情绪疏离”,一种类似特质的情绪倾向)的结合。需要进一步研究以确定观察到的五因素模型是否能在更多样化的样本中得到复制。

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