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信号检测模型中的决策标准不是基于客观的概率比率
Xiao Hu1, Chunliang Yang1, Liang Luo2
1Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education, Faculty of Psychology, Beijing Normal University.
Journal of experimental psychology. General
|June 1, 2023
概括
人们可能不会使用客观概率比率 (LR) 作为决策标准. 结果表明LR标准因任务难度而异,与传统的信号检测理论假设相矛盾.
科学领域:
- 认知心理学 认知心理学
- 决策科学 决策科学 决策科学
- 信号检测理论的理论
背景情况:
- 概率比率 (LR) 理论是理解决策标准的主要模型.
- 这种理论假设决策依赖于客观的LR,标准在各个任务中都是稳定的.
- 然而,人们准确计算目标LR的能力经常受到争议.
研究的目的:
- 实证地测试是否根据客观的LR确定决策标准.
- 调查任务难度如何影响决策标准的设定.
- 在信号检测任务中检查LR估计中的潜在不准确性.
主要方法:
- 进行了三项涉及两种条件感知和记忆任务的实验.
- 参与者提供了使用信任评级尺度的答案.
- 分析了不同任务难度级别的决策标准.
主要成果:
- 结果与LR理论的两个核心假设相矛盾.
- 估计的LR标准在任务难度级别上有显著差异.
- 随着任务难度的降低,标准显示出不同的模式.
结论:
- 该研究表明,个人可能在信号检测中不准确地估计LR.
- 这些发现挑战了基于LR的客观标准设置的假设.
- 讨论了在决策过程中对LR估计扭曲的解释.
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