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Italian validation of the social anxiety scale for social media users (SAS-SMU) in a non-clinical sample

Author

Listed:
  • Giulia Raimondi

    (European University of Rome)

  • Raoul Clementi

    (European University of Rome)

  • Michela Balsamo

    (G. d’Annunzio University Chieti– Pescara)

  • David Lester

    (Stockton University)

  • Claudio Imperatori

    (European University of Rome)

  • Marco Innamorati

    (European University of Rome)

Abstract

Prior research has suggested that the use of social media could be associated with psychopathology (e.g., depression and anxiety symptoms). To measure social anxiety associated with social media use, Alkis et al. (2017) developed the Social Anxiety Scale for Social Media Users (SAS-SMU). The aims of the present study were to investigate the factor structure of the SAS-SMU in a nonclinical sample of Italian adults and to analyze its psychometric properties. Three hundred and eighty participants (222 women and 158 men) were administered Italian versions of the SAS-SMU, the Social Phobia Inventory, the Bergen Social Media Addiction Scale, the Obsessive-Compulsive Inventory Revised, the General Anxiety Disorder-7, the Patient Health Questionnaire-9, and the Satisfaction with Life Scale. The original hierarchical model, with four first-order factors and one second order factor had good fit to the data (χ2185 = 405.81, RMSEA = 0.06, 95%CI 0.05–0.06, CFI = 0.99, TLI = 0.98, SRMR = 0.04). SAS-SMU had satisfactory internal consistency (ordinal α = 0.94) as well as good convergent and divergent validity. Finally, different SAS-SMU scores were associated with different level of social anxiety. The SAS-SMU is, therefore, a reliable and valid measure of social anxiety in relation to social media use.

Suggested Citation

  • Giulia Raimondi & Raoul Clementi & Michela Balsamo & David Lester & Claudio Imperatori & Marco Innamorati, 2024. "Italian validation of the social anxiety scale for social media users (SAS-SMU) in a non-clinical sample," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(2), pages 1203-1215, April.
    • Handle: RePEc:spr:qualqt:v:58:y:2024:i:2:d:10.1007_s11135-023-01690-z
    DOI: 10.1007/s11135-023-01690-z
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    References listed on IDEAS

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    1. Marta Palczyńska & Maja Rynko, 2021. "ICT skills measurement in social surveys: Can we trust self-reports?," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(3), pages 917-943, June.
    2. Ke Xue & ChangZheng Yang & MingYang Yu, 2018. "Impact of new media use on user’s personality traits," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 739-758, March.
    3. repec:plo:pone00:0239133 is not listed on IDEAS
    4. van der Ark, L. Andries, 2012. "New Developments in Mokken Scale Analysis in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i05).
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