Cross-cultural validation of the BFOE model: Best practices and future directions for psychometric evaluation of the Fear of positive evaluation scale – Insights from a Dutch translation
Wolf-Gero Lange , Ashley N. Howell , Justin W. Weeks
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引用次数: 0
Abstract
The Bivalent Fear of Evaluation (BFOE) model suggests that Social Anxiety Disorder is not only characterized by fear of negative evaluation (FNE), but also fear of positive evaluation (FPE). While FNE has been firmly established, research of the latter is accumulating. To evaluate the role of the BFOE Model, and particularly FPE, validated measures such as the Fear of Positive Evaluation Scale (FPES) are pivotal. Yet, validation of psychometric properties is often at stake or neglected when translating a scale to other languages. This hampers cross-cultural evaluation of questionnaires and related concepts considerably, including the BFOE Model. To illustrate, a freely available, but not validated Dutch version of the FPES was completed, along with other measures by 354 community participants from the Netherlands and Belgium in an online study. The Dutch FPES showed excellent convergent and discriminant validity. In addition, it explained additional variance in social anxiety above and beyond FNE. These results as well as those from the factor analyses were highly comparable with those deriving from evaluations of the original English version. In conclusion, the Dutch FPES showed excellent psychometric properties and is fit for further exploring consistency or differences in the BFOE model across cultures. Based on this case, practice guidelines for international use and validation of measures are discussed, and recommendations are provided.
期刊介绍:
ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.