动态变化与变化机制相遇:研究潜变得分框架中的调解者
Chanler D Hilley1, Holly P O'Rourke1
1Arizona State University, USA.
International journal of behavioral development
|February 26, 2024
概括
潜在变化得分模型使随着时间的推移,行为变化机制的动态分析成为可能. 本研究展示了在这个框架内进行调解测试,用于具有多个时间点的纵向研究.
科学领域:
- 行为科学 行为科学
- 发展心理学 发展心理学
- 量化心理学 量化心理学
背景情况:
- 纵向行为变化研究往往缺乏探索动态机制的方法.
- 传统的统计模型在调查因素如何影响随时间的变化方面存在局限性.
- 潜在变化得分模型为分析动态,非线性变化模式提供了灵活性.
研究的目的:
- 在潜变得分数框架内引入和展示调解分析.
- 将调解分析扩展到具有两个以上时间点的纵向数据.
- 为实施隐性变化得分调解模型提供实际指导和语法.
主要方法:
- 传统调解模型与潜变得分 (LCS) 模型的整合.
- 在多个时间点对重复测量结果,调解器和预测器的应用.
- 使用Mplus软件进行分析,提供特定的语法示例.
主要成果:
- 成功展示了在潜在变化得分框架中测试调解的三个不同的方法.
- 展示了LCS模型对于复杂的纵向介导的适应性.
- 提供了应用这些先进的纵向调解技术的实际考虑.
结论:
- 隐性变化得分调解模型 (LCSM) 为理解纵向行为研究中的动态机制提供了一种强有力的方法.
- 这些模型推进了对变化和调解的分析,超出了传统的增长曲线和路径分析方法.
- 提出的方法和语法促进了LCSM在发育和行为科学研究中的应用.
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