Using Multilevel Mediation Model to Measure the Contribution of Beliefs to Judgments of Learning
Using Multilevel Mediation Model to Measure the Contribution of Beliefs to Judgments of Learning
复制标题
使用多级中介模型衡量信念对学习判断的贡献
DOI：
10.3389/fpsyg.2020.00637
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发表时间：
2020-04-15
影响因子：
3.8
通讯作者：
Luo, Liang
中科院分区：
文献类型：
--
作者：
Hu, Xiao;Zheng, Jun;Luo, Liang
最近关于学习判断（JOL）的研究表明，信念在 JOL 的形成中发挥着重要作用。当前的文章介绍了一种多级中介模型，当 JOL 和基于信念的全局预测是从同一组参与者中测量时，可以量化信念对 JOL 形成的贡献。我们将多级中介模型与假设和已发布的数据集进行拟合的示例表明，使用多级中介模型来检查信念对线索和 JOL 之间关系的中介效应是可行的，并在一个模型中定量比较信念和处理流畅性对 JOL 的影响。然后我们比较了当前的多级中介模型和先前研究中实现的多级调节模型，并讨论了它们的异同。最后，进行了数据模拟，以解释当我们对线索进行基于信念的全局预测回归时，多级中介模型的 I 类错误的膨胀，并提出了有关进行多级中介分析的适当步骤的建议。
Recent studies on judgments of learning (JOLs) suggest that beliefs play an important role in the formation of JOLs. The current article introduces a multilevel mediation model to quantify the contribution of beliefs to JOL formation when both JOLs and global belief-based predictions are measured from the same group of participants. Our examples of fitting the multilevel mediation model to hypothetical and published datasets revealed that it is feasible to use the multilevel mediation model to examine the mediation effect of beliefs on the relationship between a cue and JOLs, and quantitatively compare the effects of beliefs and processing fluency on JOLs in one model. Then we compared the current multilevel mediation model and the multilevel moderation model implemented in previous studies, and discussed their similarities and differences. Finally, a data simulation was performed to explain the inflation of Type I error for the multilevel mediation model when we regress global belief-based predictions on the cue, and suggestions about appropriate steps for conducting multilevel mediation analysis are proposed.