Joinson's Facebook Questionnaire: Italian adaptation and validation

• Published in: Advances in Medicine, Psychology, and Public Health Vol. 2; no. 1; pp. 19 - 26
• Main Authors: Rizzo, Amelia, Barbera, Martina, Commendatore, Martina, Marafioti, Giulia, Maggio, Maria Grazia
• Format: Journal Article
• Language: English
• Published: INAMPPH 01.01.2025; International Network for the Advancement of Medicine, Psychology, and Public Health (INAMPPH)
• Subjects: Computer Science; facebook questionnaire; facebook use; Humanities and Social Sciences; measurement; psychological assessment; Social and Information Networks; social networking sites; facebook questionnaire; psychological assessment; facebook use; measurement; social networking sites
• ISSN: 3034-8803; 3034-8803
• DOI: 10.5281/zenodo.11397532

Introduction: Studies on motivations and uses of social network sites (SNS), with particular reference to Facebook, have increasingly developed in the last decade. Nevertheless, there are still very few valid measures for Facebook activity, especially in Italian. The study aims to propose an Italian instrument, developed starting from Joinson’s Facebook Questionnaire, and to verify its psychometric properties to provide researchers with a valid measure for the target population. Methods: Three hundred fifty-five subjects, 185 males and 170 females, aged 9 to 45 years (M = 23,14 ± 6.22), were individually interviewed with the Italian version of the Facebook Questionnaire. Results: Exploratory factor analysis revealed a 7-factor latent structure, similar to the original study, which explained 52% of the variance and obtained a Cronbach's alpha value of .84. and different uses according to the life stage. Conclusions: Methodological implications and cues for future research are discussed. Take-home message: The Italian adaptation of Joinson’s Facebook Questionnaire provides a reliable tool to explore social network usage across different life stages in Italy, demonstrating robust psychometric properties with a seven-factor structure that explains 52% of the variance and achieves a Cronbach's alpha of .84.