条件的概率:相关性效应可能会被边界情况的存在所混
Likan Zhan1,2,3, Meng Wang4
1Cognitive Science and Allied Health School, Beijing Language and Culture University, Beijing, 100083, China. zhanlikan@hotmail.com.
Psychonomic bulletin & review
|July 7, 2025
概括
在条件概率中的相关性效应通常在边界案例被纳入分析时被观察到. 排除这些案例消除了效果,表明它们在理解自然语言条件的过程中起着至关重要的作用.
科学领域:
- 认知科学 认知科学
- 心理语言学 心理语言学
- 可能性理论概率理论.
背景情况:
- 前言和后果的相关性会影响自然语言中的条件概率判断.
- 经验证据是混合的,来自密集研究的积极发现和来自扩展研究的零发现.
- 以前的研究可能由于包含或排除边界病例而导致结果混.
研究的目的:
- 调查边界案例在条件概率的相关性影响中的作用.
- 为了协调密集和扩展概率研究之间的相互矛盾的发现.
主要方法:
- 通过抽象的多重事件进行了一项实验,操纵了边界案例的包含.
- 分析了带有和没有边界案例的概率判断.
- 从以前的密集概率研究中重新分析了数据.
主要成果:
- 当包括边界病例时,在四个参数中的三个参数中观察到相关性效应.
- 当排除边界病例时,没有观察到相关性效应.
- 重新分析证实,边界病例解释了以前的差异.
结论:
- 边界案例对于观察条件概率判断中的相关性效应至关重要.
- 边界病例的存在或不存在可能解释了先前研究中混合的结果.
- 需要进一步的研究,以了解相关效应和边界病例的同时发生.
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