Mignolli Giada, Colledani Daiana, Tommasi Francesco, Meneghini Anna Maria
Department of Human Sciences, University of Verona, 37129 Verona, Italy.
Department of Psychology, Sapienza University of Rome, 00185 Rome, Italy.
Eur J Investig Health Psychol Educ. 2025 Aug 19;15(8):165. doi: 10.3390/ejihpe15080165.
Following the idea that individuals engage with different strategies to regulate their emotional experiences, scholars in the field of psychology have shown increasing interest in the notion of emotion regulation flexibility. Despite growing attention to this construct, validated instruments for assessing individuals' capacity to choose among different emotion regulation strategies effectively are limited, particularly in non-English-speaking contexts. The present study aims to extend the use of the Emotion Regulation Flexibility Questionnaire by providing a validation of the Italian version and supporting its generalisability.
The Italian Emotion Regulation Flexibility Questionnaire (IT-ERFQ) was included in a cross-sectional study involving = 887 participants (60.4% female). Exploratory and confirmatory factor analyses were conducted, along with tests of measurement invariance across gender and age groups, assessments of internal consistency, and evaluations of external validity.
The IT-ERFQ showed a clear unidimensional structure, good internal reliability, and full measurement invariance across groups. The eight-item Italian version correlated negatively with emotion dysregulation and positively with well-being.
These findings provide strong evidence for the psychometric soundness of the IT-ERFQ and support its use in both basic and applied research.
基于个体采用不同策略来调节自身情绪体验这一观点,心理学领域的学者对情绪调节灵活性的概念表现出越来越浓厚的兴趣。尽管对这一概念的关注日益增加,但用于有效评估个体在不同情绪调节策略中进行选择能力的经过验证的工具却很有限,尤其是在非英语语境中。本研究旨在通过对意大利语版本进行验证并支持其通用性,来扩展情绪调节灵活性问卷的应用。
意大利语情绪调节灵活性问卷(IT - ERFQ)被纳入一项横断面研究,该研究涉及887名参与者(60.4%为女性)。进行了探索性和验证性因素分析,以及跨性别和年龄组的测量不变性测试、内部一致性评估和外部效度评估。
IT - ERFQ呈现出清晰的单维结构、良好的内部信度以及跨组的完全测量不变性。这个包含八个条目的意大利语版本与情绪失调呈负相关,与幸福感呈正相关。
这些发现为IT - ERFQ的心理测量稳健性提供了有力证据,并支持其在基础研究和应用研究中的使用。