The location-based Simon effect: Reliability of ex-Gaussian analysis.

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) distribu...

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Published in:Memory & Cognition Vol. 48; no. 1; pp. 42 - 51
Main Authors: Luo, Chunming, Proctor, Robert W.
Format: Article
Published: Springer Nature Jan2020
Subjects:
Online Access:View this record in EBSCOhost
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        10.3758/s13421-019-00960-2
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        atl: The location-based Simon effect: Reliability of ex-Gaussian analysis.
      aug:
        au:
          Luo, Chunming
          Proctor, Robert W.
        affil:
          CAS Key Laboratory of Behavioral Science, Institute of Psychology, 16 Lincui Road, Chaoyang District, 100101, Beijing, China
          Department of Psychological Sciences, Purdue University, West Lafayette, IN, USA
      su:
        Reliability (Personality trait)
        Task performance
        Probability theory
        Reaction time
        Statistical models
        Descriptive statistics
      sug:
        subj:
          Reliability (Personality trait)
          Task performance
          Probability theory
          Reaction time
          Statistical models
          Descriptive statistics
      keyword:
        Ex-Gaussian distribution
        Reaction time distribution
        Reliability
        Simon effect
        Ex-Gaussian distribution
        Reaction time distribution
        Reliability
        Simon effect
      ab: 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.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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