INFORMATION INTEGRATION IN RISKY DECISION MAKING
INFORMATION INTEGRATION IN RISKY DECISION MAKING
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DOI：
10.1037/h0029300
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发表时间：
1970-01-01
影响因子：
--
通讯作者：
SHANTEAU, JC
中科院分区：
文献类型：
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作者：
ANDERSON, NH;SHANTEAU, JC
将信息集成理论应用于概率事件决策。10名大学生对包含独立得失成分的双注的主观价值进行了判断。每个组成部分的价值被认为是反映输赢概率的主观权重和赢钱或输钱的主观价值的乘积。赌注的总价值是这两个分量的总价值之和。因此，每个判断都需要进行乘法和加法运算。该倍增模型在4种实验条件下均表现良好。添加模型显示了更严重的差异，尽管这些差异的幅度很小。运用功能测量理论对概率刺激和金钱刺激的主观值进行了量化。主观价值和客观价值在概率和金钱方面都呈非线性关系。（参考文献33）（PsycINFO Database Record (c) 2016 APA，版权所有）
Applied a theory of information integration to decision making with probabilistic events. 10 undergraduates judged the subjective worth of duplex bets that included independent gain and lose components. The worth of each component was assumed to be the product of a subjective weight that reflected the probability of winning or losing, and the subjective worth of the money to be won or lost. The total worth of the bet was the sum of the worths of the 2 components. Thus, each judgment required multiplying and adding operations. The multiplying model worked quite well in 4 experimental conditions. The adding model showed more serious discrepancies, though these were small in magnitude. The theory of functional measurement was applied to scale the subjective values of the probability and money stimuli. Subjective and objective values were nonlinearly related both for probability and for money.(33 ref.)(PsycINFO Database Record (c) 2016 APA, all rights reserved)