测试智能手机普及度尺度对自报告客观智能手机使用数据的青少年的有效性
Shobhik Chakraborty1, Marco Gui2, Tiziano Gerosa3
1Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, USA.
Digital health
|April 1, 2024
概括
青少年智能手机普及度表 (SPS-A) 有效地衡量了问题性智能手机使用 (PSU). 它与客观的智能手机持续时间很好地相关,为成量表提供了有效的替代方案.
科学领域:
- 心理学 心理学 心理学
- 人与计算机的交互
- 青少年健康 青少年健康
背景情况:
- 青少年问题性智能手机使用 (PSU) 难以量化,现有的自我报告措施显示与客观数据的联系很弱.
- 青少年智能手机普及度量表 (SPS-A) 是为了评估在关键日常活动中主观智能手机使用频率而开发的.
- 之前的研究表明,自报告的PSU指标与客观的智能手机使用数据之间的相关性有限.
研究的目的:
- 调查SPS-A尺度和青少年客观智能手机参与度量 (持续时间,频率,通知) 之间的关系.
- 评估SPS-A尺度的有效性,以衡量非病理性问题的智能手机使用.
- 将SPS-A尺度的预测能力与智能手机参与度的自我报告措施进行比较.
主要方法:
- 一组1396名瑞士青少年 (平均年龄15.8岁,59%为女性) 参与了这项研究.
- 收集了客观的智能手机使用数据 (持续时间,频率,通知) 并与SPS-A尺度得分进行比较.
- 使用统计分析,包括相关系数,来检查变量之间的关系.
主要成果:
- 在客观测量的智能手机使用时间和SPS-A得分之间发现了实质性的相关性 (r = .41对于iOS,r = .42对于Android).
- 在更高的客观使用类别中的青少年报告了智能手机普及率的线性增加水平.
- 对通知计数和设备解锁的相关性很小;没有观察到性别差异.
结论:
- SPS-A尺度是评估智能手机普及率和青少年问题性智能手机使用的有效措施.
- 与传统的自我报告措施相比,SPS-A对客观智能手机持续时间的预测有效性更强.
- 这些发现支持SPS-A在理解青少年智能手机参与度超出"成"框架的实用性.
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