关于在随机截断交叉滞后面板建模中考虑并发效应的重要性:欺凌和内化问题的示例分析
Lydia G Speyer1, Xinxin Zhu2, Yi Yang2
1Department of Psychology, Lancaster University, Lancaster, UK.
Multivariate behavioral research
|November 26, 2024
概括
随机截取交叉滞后面板模型 (RI-CLPMs) 如果忽略并发效应,可能会产生偏差的结果. 正确地计算定向的时间内关联对于准确的纵向分析和理解随时间变量关系至关重要.
科学领域:
- 心理学 心理学 心理学
- 统计 统计 统计 统计
- 社会科学 社会科学 社会科学
背景情况:
- 随机截图交叉滞后面板模型 (RI-CLPMs) 常用于分析变量之间的时间关系.
- RI-CLPM的解释往往优先考虑交叉的路径,可能会忽视并发的关联.
- 忽视并发效应可能会导致对纵向关联的偏差估计.
研究的目的:
- 调查建模定向时间内关联对RI-CLPM推理的影响.
- 为了确定不考虑并发效应是否会在RI-CLPM中偏见交叉滞后效应.
- 为分析随时间推移的定向关联提供对模型选择的指导.
主要方法:
- 经验分析使用从纵向z-proso研究的数据.
- 具有和没有建模方向性并发效应的RI-CLPMs的比较.
- 评估并发效应建模对交叉滞后效应估计的影响.
主要成果:
- 如果不能建模方向性并发效应,则可以在RI-CLPM中显著偏差交叉滞后效应.
- 同时测量变量的时间序列可以加剧偏差,当没有明确建模时.
- 结果强调了考虑并发关联对于准确的纵向推断的重要性.
结论:
- 在使用RI-CLPM时,要仔细考虑潜在的定向并发效应.
- 如果并发效应的时间序列不清楚,测试多个模型.
- 根据不同模型规格的发现的稳定性得出结论.
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