执行功能的心理测量结构:一个令人满意的测量模型? 使用元分析和网络建模进行检查
Kevin P Rosales1, Eugene H Wong1, Lisa Looney1
1Department of Child Development, California State University, San Bernardino, CA 92407, USA.
Behavioral sciences (Basel, Switzerland)
|December 22, 2023
概括
这项研究挑战了执行职能传统的三因素模型,表明网络建模可以更好地理解这些复杂的认知过程.
科学领域:
- 认知科学 认知科学
- 神经科学是一个神经科学.
- 心理学 心理学 心理学
背景情况:
- 执行功能是关键的认知过程,具有重要的理论和应用意义.
- 米克等人. 美国的三要素模型一直是占主导地位的框架,但面临着对其充分性的日益严格审查.
- 人们担心传统模式过度简化了执行职能的复杂性质.
研究的目的:
- 批判性地评估 Miyake 等人的心理测量有效性. 这是一个具有影响力的执行职能三因素模型.
- 引入和验证网络建模作为理解执行函数的优越替代方案.
- 探索这些发现对认知科学研究和实践的影响.
主要方法:
- 为了测试提出的假设,进行了两项实证研究.
- 网络建模技术被用来分析执行职能之间的关系.
- 隐性变量建模被用作一种比较分析方法.
主要成果:
- 结果使人们对已建立的三因素模型的心理测量强度和整体充分性产生了怀疑.
- 与潜变量建模相比,网络建模在捕捉认知过程的复杂性方面表现出更好的能力.
- 有证据表明,网络建模为执行职能提供了更细致的理解.
结论:
- 传统的三要素模型可能不能完全反映执行职能的复杂性质.
- 网络建模为调查执行职能提供了一个有希望的新框架.
- 这些发现需要对当前的理论模型和对执行职能的应用方法进行重新评估.
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