CAS Key Laboratory of Behavioral Science, Institute of Psychology, 16 Lincui Road, Chaoyang District, Beijing, 100101, China.
Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA.
Mem Cognit. 2020 Jan;48(1):42-50. doi: 10.3758/s13421-019-00960-2.
Task-irrelevant stimulus location can influence the response performance to task-relevant attributes, generating the location-based Simon effect. Using a Monte Carlo study and other methods, we examined whether the ex-Gaussian distribution provides a good fit to empirical reaction time (RT) distributions in the Simon task and whether reliable Simon effects occur on the ex-Gaussian parameters: (a) the mean (μ), (b) the standard deviation (σ) of the normal distribution, and (c) the tail (τ). Results showed that the ex-Gaussian function fits well to empirical RT distributions, and that these ex-Gaussian parameters are reliable between two trial blocks at the group level. At the individual level, correlation analysis showed that the Simon effect was reliable on the μ parameter but not on σ and τ. Moreover, a partial correlation analysis, with μs of the two blocks as controlling variables, showed that the Simon effect on τ was reliable. These results provide evidence that the ex-Gaussian function is a valuable tool for analyzing the Simon effect and can be considered as an alternative for analyzing RT distributions in Simon-type tasks.
任务无关刺激位置会影响对任务相关属性的反应表现,从而产生基于位置的 Simon 效应。通过蒙特卡罗研究和其他方法,我们考察了在 Simon 任务中,指数高斯分布是否能很好地拟合经验反应时 (RT) 分布,以及是否能在指数高斯参数上产生可靠的 Simon 效应:(a) 正态分布的均值 (μ),(b) 标准差 (σ),以及 (c) 尾部 (τ)。结果表明,指数高斯函数很好地拟合了经验 RT 分布,并且这些指数高斯参数在组水平上的两个试次块之间是可靠的。在个体水平上,相关分析表明,μ 参数上的 Simon 效应是可靠的,但 σ 和 τ 参数上的 Simon 效应不可靠。此外,偏相关分析以两个块的 μs 作为控制变量,表明 τ 上的 Simon 效应是可靠的。这些结果提供了证据表明,指数高斯函数是分析 Simon 效应的有效工具,可以作为分析 Simon 型任务中 RT 分布的替代方法。