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

被引:0
作者
Raimondi G. [1 ]
Clementi R. [1 ]
Balsamo M. [3 ]
Lester D. [2 ]
Imperatori C. [1 ]
Innamorati M. [1 ]
机构
[1] Experimental and Applied Psychology Laboratory, Department of Human Sciences, European University of Rome, Rome
[2] Stockton University, Galloway, NJ
[3] Department of Psychological Sciences, Health, and Territory, G. d’Annunzio University Chieti– Pescara, Chieti
关键词
Factor analysis; SAS-SMU; Scale validation; Social anxiety; Social media;
D O I
10.1007/s11135-023-01690-z
中图分类号
学科分类号
摘要
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. © The Author(s), under exclusive licence to Springer Nature B.V. 2023.
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页码:1203 / 1215
页数:12
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共 59 条
  • [1] Aderka I.M., McLean C.P., Huppert J.D., Davidson J.R.T., Foa E.B., Fear, avoidance and physiological symptoms during cognitive-behavioral therapy for social anxiety disorder, Behav. Res. and Ther, 51, 7, pp. 352-358, (2013)
  • [2] Alkis Y., Kadirhan Z., Sat M., Development and validation of social anxiety scale for social media users, Comput. in Hum. Behav, 72, pp. 296-303, (2017)
  • [3] Aluh D.O., Chukwuobasi T., Mosanya A.U., A cross-sectional survey of social media anxiety among students of university of Nigeria, J. of Ment Health and Hum. Behav, 24, 1, (2019)
  • [4] Diagnostic and statistical manual of mental disorders, (2013)
  • [5] Andreassen C.S., Torsheim T., Brunborg G.S., Pallessen S., Development of a Facebook Addiction Scale, Psychol. Rep, 2, pp. 501-517, (2012)
  • [6] Appel H., Gerlach A.L., Crusius J., The interplay between Facebook use, social comparison, envy, and depression, Curr. Opin. in Psychol, 9, pp. 44-49, (2016)
  • [7] Bar-Haim Y., Lamy D., Pergamin L., Bakermans-Kranenburg M.J., Van Ijzendoom M.H., Threat-related attentional bias in anxious and nonanxious individuals: A meta-analytic study, Psychol. Bull, 133, 1, pp. 1-24, (2007)
  • [8] Boyers G.B., Broman-Fulks J.J., Valentiner D.P., McCraw K., Curtin L., Michael K.D., The latent structure of social anxiety disorder and the performance only specifier: A taxometric analysis, Cogn. Behav. Ther, 46, 6, pp. 507-521, (2017)
  • [9] Browne M.W., Cudeck R., Alternative Ways of assessing Model Fit, Sociol. Methods & Res, 21, 2, pp. 230-258, (1992)
  • [10] Clark D.M., Wells A., A cognitive model of social phobia, Social Phobia: Diagnosis, Assessment, and Treatment, pp. 69-93, (1995)