作为对互联网成行为的预测因素的弹性:在加纳和沙特样本中进行的一项研究,使用结构方程建模方法
Mazen Omar Almulla1, Abdulaziz Mohammed Alismail2, Inuusah Mahama3
1King Faisal University, Al-Hofuf, Saudi Arabia. moalmulla@kfu.edu.sa.
BMC psychology
|January 28, 2025
概括
这项研究发现,低弹性与加纳和沙特阿拉伯学生中更高的互联网成风险相关. 有趣的是,更高的弹性也与增加的成行为有关,这表明了复杂的相互作用.
科学领域:
- 心理学 心理学 心理学
- 跨文化研究跨文化研究.
- 数字行为分析 数字行为分析
背景情况:
- 互联网成是全球高等学生日益关注的问题.
- 恢复力是应对心理挑战的关键因素.
- 跨文化比较对于理解不同学生群体至关重要.
研究的目的:
- 调查弹性和互联网成行为之间的关系.
- 在加纳和沙特阿拉伯的高等教育学生中探索这种关系.
- 为数字福祉提供文化敏感干预信息.
主要方法:
- 跨截面调查设计,涉及加纳和沙特阿拉伯大学的738名学生.
- 使用结构方程建模 (SEM) 来进行数据分析.
- 评估了弹性水平和互联网成行为的各种维度.
主要成果:
- 观察到互联网上性行为的高患病率与低性水平相辅相成.
- 在性和互联网成方面发现了显著的积极关联.
- 低和高的弹性水平都与增加对互联网成的易感性有关.
结论:
- 有针对性的干预措施对于减轻学生互联网成风险至关重要.
- 推建立弹性计划和数字福利倡议.
- 整合心理健康支持服务可以在不同的文化环境中培养更健康的应对机制.
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