Suppr超能文献

网络跟踪量表:编制及其与性别、错失恐惧症和社交媒体参与度的关系

Cyberstalking scale: development and relations with gender, FOMO and social media engagement.

作者信息

Silva Santos Isabella Leandra, Pimentel Carlos Eduardo, Mariano Tailson Evangelista

机构信息

Departament of Psychology, Federal University of Paraíba, João Pessoa, Paraíba Brazil.

出版信息

Curr Psychol. 2023;42(6):4802-4810. doi: 10.1007/s12144-021-01823-3. Epub 2021 May 11.

Abstract

Cyberstalking is a form of persecution that has proliferated with technology's evolution. The present research aimed to develop a cyberstalking measure and observe its relations with Fear of Missing Out (FOMO), social media engagement, and sociodemographic variables. To achieve these goals, two studies were performed. In the first study, 200 subjects (76.5% female, with a mean age of 21.6 years) answered the 15 items originally developed for the scale. These data went trough exploratory factor analysis and Cronbach's alpha to verify the reliability of the instrument. The results indicated the exclusion of five items, and after this removal, the scale was valid and reliable (α = 0.86). In the second study, which also had 200 subjects (65% female and an average age of 21.8 years), was realized confirmatory factor analysis (measuring the model fit), accompanied by correlations and mediation analysis. The analyzes demonstrated that the one-factor model was adequate (GFI = 0.98; CFI = 0.99; TLI = 0.99; RMSEA = 0.02; SRMR = 0.06). Path analysis showed social media engagement as a significant mediator of FOMO and gender's impact on cyberstalking: Both had direct (FOMO: λ = 0.31; CI = 0.19-0.42;  < 0.01; Gender: λ = 0.12; CI = 0.02-0.22;  < 0.05) and indirect effects (FOMO: λ = 0.07; CI = 0.03-0.11; p < 0.01; Gender: λ = 0.04; CI = 0.01-0.07; p < 0.01).

摘要

网络跟踪是一种随着技术发展而激增的迫害形式。本研究旨在开发一种网络跟踪测量方法,并观察其与错失恐惧(FOMO)、社交媒体参与度以及社会人口统计学变量之间的关系。为实现这些目标,进行了两项研究。在第一项研究中,200名受试者(76.5%为女性,平均年龄21.6岁)回答了最初为该量表编制的15个项目。这些数据经过探索性因素分析和克朗巴哈系数分析以验证该工具的可靠性。结果表明排除了5个项目,排除后该量表有效且可靠(α = 0.86)。在第二项研究中,同样有200名受试者(65%为女性,平均年龄21.8岁),进行了验证性因素分析(测量模型拟合度),并伴有相关性和中介分析。分析表明单因素模型是合适的(GFI = 0.98;CFI = 0.99;TLI = 0.99;RMSEA = 0.02;SRMR = 0.06)。路径分析表明社交媒体参与度是错失恐惧和性别对网络跟踪影响的重要中介:两者都有直接效应(错失恐惧:λ = 0.31;CI = 0.19 - 0.42;p < 0.01;性别:λ = 0.12;CI = 0.02 - 0.22;p < 0.05)和间接效应(错失恐惧:λ = 0.07;CI = 0.03 - 0.11;p < 0.01;性别:λ = 0.04;CI = 0.01 - 0.07;p < 0.01)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55c4/8112835/078c42abb544/12144_2021_1823_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验