评估每日拖延的项目和规模的个人间和内部可靠性:一种多层次和动态的方法
Xiaohui Luo1, Yueqin Hu1, Hongyun Liu1
1Beijing Normal University, P.R. China.
Assessment
|March 18, 2024
概括
这项研究使用动态结构方程建模评估了每日推迟措施的可靠性. 大多数项目显示出高可靠性,但可能不适合密集的纵向数据 (ILD) 收集.
科学领域:
- 心理学科学 心理学科学
- 行为研究方法 行为研究方法
背景情况:
- 密集纵向数据 (ILD) 越来越多地用于研究动态心理过程,如拖延.
- 现有的每日拖延措施往往适应特征尺度,而没有严格的可靠性测试对人内动态.
研究的目的:
- 评估一个常见的六项每日拖延量表的个人间和内部可靠性.
- 采用动态结构方程建模 (DSEM) 进行高级心理测量评估.
主要方法:
- 利用DSEM在34天内分析了252名参与者的数据.
- 收集了日常拖延措施和特征拖延措施.
主要成果:
- 六项表格和五项表格显示了人与人之间的高可靠性和内部可靠性.
- 一个项目显示可靠性明显降低,表明重复使用的潜在问题.
- 在日常拖延因素和特征措施之间发现了中等到强烈的相关性.
- 观察到个人可靠性的个人之间显著的变化.
结论:
- 广泛使用的每日拖延量表在很大程度上是可靠的ILD研究.
- 研究人员应对特定项目保持谨慎,并考虑个别可靠性的变化.
- 这些发现增强了ILD研究延迟的有效性,并改善了可靠性估计.
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