一个概率知识结构的可靠性
Debora de Chiusole1, Umberto Granziol2, Andrea Spoto3,4
1FISPPA Department, University of Padua, Padua, Italy.
Behavior research methods
|July 26, 2024
概括
为知识空间理论 (KST) 引入了新的可靠性指数. 这些基于的测量方法克服了评估知识状态和响应模式可靠性的经典测试理论 (CTT) 的局限性.
科学领域:
- 心理测量 心理测量 心理测量
- 教育测量教育的测量
- 认知科学 认知科学
背景情况:
- 经典测试理论 (CTT) 的可靠性估计方法被广泛使用,但可能不适合知识空间理论 (KST).
- 在KST中,真分和错误不是独立的,这对传统的基于CTT的可靠性指数构成了挑战.
- 现有的可靠性指标需要在KST框架内进行调整或采用新的方法.
研究的目的:
- 在知识空间理论 (KST) 框架内,提出和分析用于估计测试总体可靠性的新索引.
- 探索现有的经典测试理论 (CTT) 方法在KST中的适用性,并确定它们的局限性.
- 开发基于信息理论概念的新可靠性指数,用于KST.
主要方法:
- 探索古典测试理论 (CTT) 方法,重点关注差异比率 (真得分差异与总差异).
- 开发两个新的可靠性指数,利用和条件的概念.
- 使用现实数据进行理论分析,计算机模拟和经验验证.
主要成果:
- 经典测试理论 (CTT) 方法被认为不适合知识空间理论 (KST),因为它依赖于错误和真得分.
- 开发了两个新的基于的指数:一个是给定知识状态的响应模式可靠性,另一个是估计知识状态的可靠性.
- 通过模拟和经验数据分析,在各种条件下研究拟议的索引的行为.
结论:
- 开发的基于的指数为知识空间理论 (KST) 的可靠性估计提供了合适的框架.
- 这些新的索引解决了KST中存在的特定依赖关系,提供了对测试可靠性的更准确的评估.
- 这些发现支持信息理论的应用,用于在KST中推进教育和心理评估中的可靠性测量.
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