Wang Yaning, Zhang Huan, Bao Sarenna
School of Journalism and Communication, Northwest University, Xi'an, China.
School of Journalism and Communication, Nankai University, Tianjin, China.
Front Psychol. 2024 Oct 9;15:1378093. doi: 10.3389/fpsyg.2024.1378093. eCollection 2024.
This study aims to modify the Social Anxiety Scale for Social Media Users (SAS-SMU) to make it more suitable for assessing social anxiety among Chinese social media users, taking into account the unique cultural nuances and social media usage patterns in China. Consequently, a systematic approach was adopted, involving three distinct studies. Study 1 involved translating the English scale into Chinese, conducting interviews with Chinese social media users, and subsequently revising the scale items based on the interview data to ensure cultural appropriateness. Study 2 employed an online survey to collect data and examine the reliability and construct validity of the revised scale, including a two-phase approach: an exploratory factor analysis (EFA) was conducted with 500 participants to identify the underlying factor structure, and a subsequent confirmatory factor analysis (CFA) with 408 participants was used to cross-validate the results. Thus far, this study has developed a social anxiety scale for Chinese mobile social media users (SAS-CMSMU) consisted of 11 items on three factors: Interaction Anxiety, Privacy Concern Anxiety, and Shared Content Anxiety. Study 3 ( = 1,006) applied the SAS-CMSMU to assess social anxiety among Wechat users. The results indicated that participants showed a high level of overall social anxiety (M = 3.646 > 3). Specifically, Privacy Anxiety was the most pronounced, followed by Shared Content Anxiety and Interaction Anxiety. Moreover, significant statistical differences in social anxiety levels were found among WeChat users across gender, age, education, income, and relationship status.
本研究旨在对社交媒体用户社交焦虑量表(SAS - SMU)进行修订,使其更适合评估中国社交媒体用户的社交焦虑,同时考虑到中国独特的文化细微差别和社交媒体使用模式。因此,采用了一种系统的方法,包括三项不同的研究。研究1包括将英文量表翻译成中文,对中国社交媒体用户进行访谈,随后根据访谈数据修订量表项目,以确保文化适宜性。研究2采用在线调查收集数据,并检验修订后量表的信度和结构效度,包括两阶段方法:对500名参与者进行探索性因素分析(EFA)以确定潜在的因素结构,随后对408名参与者进行验证性因素分析(CFA)以交叉验证结果。到目前为止,本研究已经开发出了一个针对中国移动社交媒体用户的社交焦虑量表(SAS - CMSMU),该量表由11个项目组成,涉及三个因素:互动焦虑、隐私担忧焦虑和共享内容焦虑。研究3(n = 1006)应用SAS - CMSMU评估微信用户的社交焦虑。结果表明,参与者总体社交焦虑水平较高(M = 3.646 > 3)。具体而言,隐私焦虑最为明显,其次是共享内容焦虑和互动焦虑。此外,不同性别、年龄、教育程度、收入和恋爱状况的微信用户在社交焦虑水平上存在显著的统计学差异。