对中国社交媒体用户的社会焦虑量表进行测试,修订和应用
Yaning Wang1, Huan Zhang2, Sarenna Bao3
1School of Journalism and Communication, Northwest University, Xi'an, China.
Frontiers in psychology
|October 24, 2024
概括
这项研究适应了中国用户的社交媒体用户社会焦虑量表 (SAS-SMU),创建了SAS-CMSMU. 中国的社交媒体用户报告了高度的社会焦虑,特别是在隐私方面.
科学领域:
- 心理学 心理学 心理学
- 社会科学 社会科学 社会科学
- 人与计算机的交互
背景情况:
- 现有的社会焦虑量表可能无法捕捉中国社交媒体用户的文化细微差别.
- 中国独特的社交媒体使用模式需要文化适应的评估工具.
- 社交媒体的使用在中国人口中很普遍,影响了心理健康.
研究的目的:
- 为中国的社交媒体环境修改社交媒体用户社会焦虑量表 (SAS-SMU).
- 开发和验证一个文化上适当的尺度来评估中国社交媒体用户的社会焦虑.
- 调查中国微信用户中社交焦虑的流行程度和具体尺寸.
主要方法:
- 这是一个三项研究的方法,涉及翻译,专家审查,采访和规模修订.
- 对500名参与者进行探索性因素分析 (EFA),对408名参与者进行确认性因素分析 (CFA),以验证规模.
- 对1006名微信用户进行了最终规模 (SAS-CMSMU) 的管理,以评估社会焦虑水平和人口统计相关性.
主要成果:
- 为中国移动社交媒体用户 (SAS-CMSMU) 制定了11项社会焦虑量表,其中包括三个因素:互动焦虑,隐私关注焦虑和共享内容焦虑.
- 中国的社交媒体用户总体上表现出高度的社会焦虑 (M=3.646),其中隐私问题焦虑是最突出的方面.
- 在微信用户中,在性别,年龄,教育,收入和关系状况方面观察到社会焦虑水平的显著差异.
结论:
- SAS-CMSMU是评估中国社交媒体用户社会焦虑的可靠和有效工具.
- 隐私问题是中国社交媒体环境中社会焦虑的一个重要方面.
- 人口统计因素在塑造像微信这样的社交媒体平台上的社会焦虑体验方面发挥着重要作用.
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