A BIASED RANDOM-WALK MODEL FOR 2 CHOICE REACTION-TIMES
A BIASED RANDOM-WALK MODEL FOR 2 CHOICE REACTION-TIMES
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DOI：
10.1016/0022-2496(83)90011-1
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发表时间：
1983-01-01
影响因子：
1.8
通讯作者：
ASHBY, FG
中科院分区：
文献类型：
--
作者：
ASHBY, FG
推广了基于序贯概率比检验的两个选择反应时间(RT)的Stone‘’S随机游走模型，并对相同的反应预测了正确和错误的反应时间。广义版本允许信号检测理论中发现的类型的偏差直接进入累积过程，因此矛盾的证据可能被视为略微有利于1种选择。由此得到的有偏SPRT模型可以预测正确和不正确的平均RT之间的任何关系。与“链接与健康”S相对判断理论的特殊对称情形不同，有偏SPRT模型可以预测正确的平均反应时，一个反应快，另一个反应慢。有偏SPRT模型、经典SPRT模型和对称RJT模型均符合Green和Luce报道的RT截止时间实验数据。在这3个模型中，有偏的SPRT模型提供了最好的解释。给出了一种在RJT模型中加入相同偏向的方法。
Stone''s random walk model of 2 choice response times (RT) based on the sequential probability ratio test (SPRT) is generalized and predicts equal correct and incorrect RT to the same response. The generalized version allows a bias of the type found in signal detection theory to enter directly into the accumulation process so that ambivalent evidence may be seen as slightly favoring 1 alternative. The resulting biased SPRT model can predict any relation between correct and incorrect mean RT. Unlike the special symmetric case of Link and Health''s relative judgment theory (RJT), the biased SPRT model can predict that correct mean RT are faster for 1 response but slower for the other. The biased SPRT model, the classical SPRT model and the symmetric RJT model are all fit to the data of an RT deadline experiment [using human subjects] reported by Green and Luce. Of the 3, the biased SPRT model provides the best account. A method for incorporating the same sort of bias into RJT models is sketched out.