Objective: The primary objective of the present study is to validate the Difficulty in Emotion Regulation Scale-Short Form (DERS-SF) in a sample of Italian adolescents. Additionally, we aim to evaluate its factorial structure by examining the contribution of each subscale (i.e., Nonacceptance, Clarity, Awareness, Goals, Impulse, Strategy) on the general factor using bi-factor models by replicating a past study.
Method: The sample comprises N = 704 adolescents aged 11-17 years (M = 13.38, SD = 1.37; 53.12% females). To establish external validity, correlation and path analyses were conducted between the DERS-SF sub-scales, the total score, and measures of internalizing and externalizing symptoms, as well as Problematic Smartphone Use (PSU). Measurement invariance was tested comparing males versus females and pre-adolescents and adolescents.
Results: Overall, results supported the multidimensional nature of the DERS-SF, confirming its original six-factor structure. However, bi-factor models analysis revealed that the Awareness subscale should be excluded when calculating the total score. Furthermore, findings indicated that the Strategy subscale variance is largely accounted for by the general factor rather than the specific subscale. In terms of external validity, significant positive associations between the DERS-SF sub-scales, the total score, and PSU, internalizing and externalizing symptoms were observed. Measurement invariance was supported.
Conclusions: Altogether, findings support the validity of the DERS-SF among Italian Adolescents and provide insights relevant to the understanding of the multifaceted facets of emotion regulation, emphasizing its relevance as a transdiagnostic process.
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http://dx.doi.org/10.1002/jclp.23732 | DOI Listing |
Child Abuse Negl
January 2025
Swinburne University of Technology, Department of Psychological Sciences, Hawthorn, Victoria, Australia.
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January 2025
Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
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View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!