Monacis Lucia, de Palo Valeria, Griffiths Mark D, Sinatra Maria
1 Department of Humanities, University of Foggia , Foggia, Italy.
2 International Gaming Research Unit, Division of Psychology, Nottingham Trent University , Nottingham, UK.
J Behav Addict. 2017 Jun 1;6(2):178-186. doi: 10.1556/2006.6.2017.023. Epub 2017 May 11.
Aim Research into social networking addiction has greatly increased over the last decade. However, the number of validated instruments assessing addiction to social networking sites (SNSs) remains few, and none have been validated in the Italian language. Consequently, this study tested the psychometric properties of the Italian version of the Bergen Social Media Addiction Scale (BSMAS), as well as providing empirical data concerning the relationship between attachment styles and SNS addiction. Methods A total of 769 participants were recruited to this study. Confirmatory factor analysis (CFA) and multigroup analyses were applied to assess construct validity of the Italian version of the BSMAS. Reliability analyses comprised the average variance extracted, the standard error of measurement, and the factor determinacy coefficient. Results Indices obtained from the CFA showed the Italian version of the BSMAS to have an excellent fit of the model to the data, thus confirming the single-factor structure of the instrument. Measurement invariance was established at configural, metric, and strict invariances across age groups, and at configural and metric levels across gender groups. Internal consistency was supported by several indicators. In addition, the theoretical associations between SNS addiction and attachment styles were generally supported. Conclusion This study provides evidence that the Italian version of the BSMAS is a psychometrically robust tool that can be used in future Italian research into social networking addiction.
目的 在过去十年中，对社交网络成瘾的研究大幅增加。然而，用于评估社交网站（SNS）成瘾的经过验证的工具数量仍然很少，并且没有一个经过意大利语验证。因此，本研究测试了意大利版卑尔根社交媒体成瘾量表（BSMAS）的心理测量特性，并提供了有关依恋风格与SNS成瘾之间关系的实证数据。方法 本研究共招募了769名参与者。采用验证性因素分析（CFA）和多组分析来评估意大利版BSMAS的结构效度。可靠性分析包括提取的平均方差、测量标准误差和因素确定性系数。结果 CFA得出的指标表明，意大利版BSMAS的模型与数据拟合良好，从而证实了该工具的单因素结构。在年龄组间的构型、度量和严格不变性以及性别组间的构型和度量水平上建立了测量不变性。几个指标支持了内部一致性。此外，SNS成瘾与依恋风格之间的理论关联总体上得到了支持。结论 本研究提供了证据，表明意大利版BSMAS是一种心理测量稳健的工具，可用于未来意大利对社交网络成瘾的研究。
