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Effects of the Permutation of Reinforcement Magnitude on Measures of Delay Discounting in a Hypothetical Money Scenario

机译:假设货币情景中加固幅度的排列对延迟贴现措施的影响

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摘要

The current study analyzed the extent to which three common permutations of reinforcement magnitude---quantity, volume, and duration---affected the rate at which participants discounted hypothetical monetary rewards. College students served as participants. Hypothetical scenarios were presented using the Hypothetical Money Procedure (Kirby, 1996), and participants self-reported the subjective value of a delayed monetary reward. Conditions presented the monetary choices as (a) quantity of dollar bills, (b) heights (inches) of a stack of dollar bills, and (c) durations of time to spend in a hypothetical cash machine to collect dollar bills. For each condition, participants' combined subjective values were used to calculate area under the curve (AuC) and to generate discounting curves based on Mazur's (1987) hyperbolic model. The duration permutation yielded a statistically significant smaller AuC value and resulted in a higher k-value in comparison to the quantity and volume permutations. Response patterns also were used to group participants based on the permutation that yielded the highest idiosyncratic AuC value. The permutation of reinforcement magnitude was demonstrated to be a significant variable in controlling discounting rates for hypothetical money.
机译:当前的研究分析了增强幅度的三个常见排列-数量,数量和持续时间-在多大程度上影响了参与者折现假想的金钱奖励的比率。大学生是参与者。使用假设货币程序(Kirby,1996)介绍了假设情景,参与者自我报告了延迟货币奖励的主观价值。条件将货币选择表示为(a)美元钞票的数量,(b)一叠美元钞票的高度(英寸),以及(c)在假设的自动提款机中收集美元钞票的时间长度。对于每种条件,使用参与者的主观综合值来计算曲线下的面积(AuC),并根据Mazur(1987)双曲线模型生成折现曲线。与数量和体积排列相比,持续时间排列产生统计上显着较小的AuC值,并导致较高的k值。响应模式也用于根据产生最高特异AuC值的排列对参与者进行分组。事实证明,增强量的排列是控制假设货币贴现率的重要变量。

著录项

  • 作者

    Harman, Michael J.;

  • 作者单位

    The University of Wisconsin - Milwaukee.;

  • 授予单位 The University of Wisconsin - Milwaukee.;
  • 学科 Experimental psychology.;Behavioral psychology.
  • 学位 Ph.D.
  • 年度 2018
  • 页码 53 p.
  • 总页数 53
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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