ANALYSIS OF RESPONSE-TIME DISTRIBUTIONS - AN EXAMPLE USING THE STROOP TASK
ANALYSIS OF RESPONSE-TIME DISTRIBUTIONS - AN EXAMPLE USING THE STROOP TASK
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DOI：
10.1037/0033-2909.109.2.340
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发表时间：
1991-03-01
影响因子：
22.4
通讯作者：
MEWHORT, DJK
中科院分区：
文献类型：
--
作者：
HEATHCOTE, A;POPIEL, SJ;MEWHORT, DJK
响应时间（RT）分布的形状可以用一个由正态分布和指数分布卷积组成的3参数模型来描述，即前高斯分布。基于平均RT的分析没有考虑分布的形状，因此可能会模糊性能的各个方面。为了说明这一点，将前高斯模型应用于从Stroop任务中获得的数据。平均RT显示有强干扰，但无促进作用，而基于前高斯模型的分析显示既有干扰也有促进作用。简而言之，不考虑RT分布形状的分析可能会产生误导，因此应该避免。
The shape of a response time (RT) distribution can be described by a 3-parameter model consisting of the convolution of the normal and exponential distributions, the ex-Gaussian. Analyses based on mean RT do not take the distribution's shape into account and, for that reason, may obscure aspects of performance. To illustrate the point, the ex-Gaussian model was applied to data obtained from a Stroop task. Mean RT revealed strong interference but no facilitation, whereas the analysis based on the ex-Gaussian model showed both interference and facilitation. In short, analyses that do not take the shape of RT distributions into account can mislead and, therefore, should be avoided.