如何开发,测试和扩展多项处理树模型:一个教程
Oliver Schmidt1, Edgar Erdfelder2, Daniel W Heck1
1Department of Psychology, University of Marburg.
Psychological methods
|July 27, 2023
概括
本教程指导研究人员开发和测试用于心理学理论的多项处理树 (MPT) 模型. 它涵盖了数据结构,模型拟合和对个体差异的层次模型.
科学领域:
- 认知心理学 认知心理学
- 心理建模 心理建模
背景情况:
- 心理学理论经常提出不可观察的潜在过程影响可观察到的反应.
- 多项式处理树 (MPT) 模型提供了一个框架,用于在离散响应数据中量化这些潜在的认知过程.
研究的目的:
- 为特定实验设计量身定制的MPT模型开发,安装和测试提供全面的教程.
- 以经典的对聚类模型为例来演示MPT模型的应用.
- 为分析个体差异和潜在过程相关性引入层次式MPT建模.
主要方法:
- 使用"多树"软件进行基础的MPT模型开发,包括数据结构,模型方程,可识别性,验证性,估计性,假设测试和功率分析.
- 在R中使用"TreeBUGS"包用于层次式MPT建模,使得单个可变性和潜在过程和共变量之间的相互关系的分析成为可能.
- 通过开放科学框架提供可访问的数据和注释分析脚本,以实现可重复性.
主要成果:
- 该教程成功地说明了构建和评估MPT模型的逐步过程.
- 展示了心理研究中标准和层次的MPT方法的实际应用.
- 为研究人员提供可重复的工作流程,以便他们在自己的研究中实施MPT建模.
结论:
- 在心理学研究中,MPT模型是剖析潜伏的认知过程的多功能工具.
- 该教程为研究人员提供了必要的技能和资源,以有效地应用MPT建模.
- 层次式的MPT建模增强了对个体差异和心理构造之间的复杂关系的分析.
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