使用三角测量来评估来自随机截取交叉滞后面板模型的研究结果:一个关于好奇心和创造力的数据应用程序
1Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
PloS one
|December 4, 2025
概括
好奇心和创造力之间的长度关联可能是虚假的,而不是相互加强的. 使用多个模型进行进一步分析表明混因素,挑战随机截取交叉滞后面板模型 (RI-CLPM) 之前的发现.
科学领域:
- 心理学 心理学 心理学
- 认知科学 认知科学
- 量化心理学 量化心理学
背景情况:
- 之前使用随机截取交叉滞后面板模型 (RI-CLPM) 的研究表明,好奇心和创造力之间存在相互强化.
- 有关RI-CLPM在捕捉真实纵向效应方面的潜在偏差和局限性存在担忧.
研究的目的:
- 用多种统计模型进行三角测量,重新评估好奇心和创造力之间的关系.
- 调查之前报告的相互增强效应是否强大或潜在的虚假.
主要方法:
- 使用潜变得分模型 (LCSM) 和多层回归分析分析现有数据 (N=400).
- 将RI-CLPM的结果与LCSM,多级回归和虚假纵向关联模型 (MoSLA) 的结果进行比较.
主要成果:
- 来自LCSM和多级回归的结果与RI-CLPM的发现相矛盾,表明没有相互增强.
- 莫斯拉建议观察到的纵向关联可能是虚假的,可能是由于混变量.
- 只有RI-CLPM分析支持相互增强效应的结论.
结论:
- 在这个数据集中,好奇心和创造力之间的纵向关联可能是虚假的,并不表明直接的因果关系或相互增强的关系.
- 混杂因素,如共同的特征或状态效应,可能解释观察到的相关性.
- 该研究提供了对RI-CLPM结果进行审查的方法教程,并强调了采用多种分析方法的重要性.
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