Institute of Allied Health Sciences, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan.
Biostatistics Consulting Center, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, 701, Taiwan.
BMC Psychiatry. 2023 Oct 18;23(1):763. doi: 10.1186/s12888-023-05251-4.
Phubbing, a phenomenon of ignoring others in face-to-face conversations due to mobile phone use, can be assessed using a Phubbing Scale (PS). Recently, the PS has been shortened into an eight-item version, the PS-8. However, psychometric properties of the PS-8 among Iranian, Bangladeshi and Pakistani individuals remain understudied, especially using advanced psychometric testing, such as Rasch and network analyses.
Participants residing in Iran, Bangladesh, and Pakistan (n = 1902; 50.4% females; mean age = 26.3 years) completed the PS-8 and the Internet Disorder Scale-Short Form (IDS9-SF) via an online survey. Network analysis was used to examine if PS-8 items were differentiated from IDS9-SF items; confirmatory factor analysis (CFA) was used to examine the factor structure and measurement invariance of the PS-8; Rasch modeling was used to examine the dimensionality of the PS-8 and differential item functioning (DIF).
Network analysis showed that PS-8 items were clustered together with a distance to the IDS9-SF items. The CFA results supported a two-factor structure of the PS-8, and the two-factor structure was found to be invariant across countries and women and men. Rasch model results indicated that the two PS-8 subscales were both unidimensional and did not display DIF across countries and gender/sex.
The PS-8 is a feasible and robust instrument for healthcare providers, especially mental health professionals, to quickly assess and evaluate individuals' phubbing behaviors.
低头症，即由于使用手机而忽视面对面交流中的他人的现象，可以通过低头症量表（PS）进行评估。最近，PS 被缩短为八项版本，即 PS-8。然而，PS-8 在伊朗、孟加拉国和巴基斯坦人群中的心理测量学特性仍有待研究，特别是使用先进的心理测量学测试，如 Rasch 和网络分析。
居住在伊朗、孟加拉国和巴基斯坦的参与者（n=1902；50.4%为女性；平均年龄=26.3 岁）通过在线调查完成了 PS-8 和互联网障碍量表-短式（IDS9-SF）。网络分析用于检验 PS-8 项目是否与 IDS9-SF 项目区分开来；验证性因素分析（CFA）用于检验 PS-8 的结构和测量不变性；Rasch 模型用于检验 PS-8 的维度和项目区分度（DIF）。
网络分析表明，PS-8 项目与 IDS9-SF 项目的距离很近，聚集在一起。CFA 结果支持 PS-8 的两因素结构，并且该两因素结构在国家和女性和男性之间具有不变性。Rasch 模型结果表明，PS-8 的两个子量表都是单维的，并且在国家和性别/性别之间没有显示出项目区分度。
PS-8 是医疗保健提供者，特别是心理健康专业人员快速评估和评估个体低头症行为的可行且可靠的工具。
