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首页> 外文期刊>Journal of Behavioral Decision Making >Maximizing Scales Do Not Reliably Predict Maximizing Behavior in Decisions from Experience
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Maximizing Scales Do Not Reliably Predict Maximizing Behavior in Decisions from Experience

机译:最大化规模并不能可靠地预测经验决策中的最大化行为

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In this paper, we explore the relationships between psychometric and behavioral measures of maximization in decisions from experience (DfE). In two experiments, we measured choice behavior in two experimental paradigms of DfE and self-reported maximizing tendencies using three prominent scales of maximization. In the repeated consequentialist choice paradigm, participants made repeated choices between two unlabeled options and received consequential feedback on each trial. In the sampling paradigm, participants freely sampled from two options and received feedback on their sampling before making a single consequential choice. Individuals exhibited different degrees of maximizing behavior in both paradigms and across different payoff distributions, but none of the maximizing scales predicted this behavior. These results indicate that maximization scales address constructs that are different from the maximization behavior observed in DfE, and that these measures will need to be improved to reflect behavioral aspects of choice and search from experience. Copyright (c) 2017 John Wiley & Sons, Ltd.
机译:在本文中,我们探讨了根据经验(DfE)做出的决策中最大化心理测度和行为测度之间的关系。在两个实验中,我们测量了DfE的两个实验范式中的选择行为,并使用三个显着的最大化尺度对自我报告的最大化趋势进行了测量。在重复的结果选择决策范式中,参与者在两个未标记的选择之间进行了重复选择,并在每次试验中均收到了相应的反馈。在抽样范式中,参与者在做出一个相应的选择之前先从两个选项中自由抽样,并收到有关抽样的反馈。个体在两种范式中以及在不同的收益分布中都表现出不同程度的最大化行为,但是没有一个最大化量表能够预测这种行为。这些结果表明,最大化量表处理的结构与DfE中观察到的最大化行为不同,并且这些措施将需要改进,以反映从经验中选择和搜索的行为方面。版权所有(c)2017 John Wiley&Sons,Ltd.

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