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延迟奖励的折扣:在21项和27项货币选择问卷中缺少数据归算
Yu-Hua Yeh1, Allison N Tegge2,3, Roberta Freitas-Lemos2
1Psychology Department, Illinois College, Jacksonville, IL, United States of America.
PloS one
|October 16, 2023
概括
本研究引入了一种新方法来处理货币选择问卷 (MCQ) 中缺少的数据. 开发的方法改进了延迟贴现估计,并包括一个R工具,以更容易得分.
科学领域:
- 行为经济学是一种行为经济学.
- 心理测量 心理测量 心理测量
背景情况:
- 货币选择问卷 (MCQ) 是衡量延迟折扣的一个关键工具.
- 目前的评分方法缺乏处理缺失数据的指导,可能会导致结果偏差.
研究的目的:
- 开发和比较新的归算方法,用于缺失的MCQ答案.
- 为客观的延迟折扣估计提供一个强大而用户友好的策略.
主要方法:
- 使用蒙特卡洛模拟来评估归算方法.
- 三种新方法与使用21项和27项MCQ数据集的模式归算进行了比较.
主要成果:
- 一种新的归算方法始终优于模式归算.
- 这种方法使用一致或随机响应来有效地归纳缺失的值.
结论:
- 确定了一种简单有效的方法来归纳缺少的MCQ数据.
- 这些发现确保了公正的延迟折扣估计,并得到了新的R工具的支持.
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