ReviewNeuropsychology review2018
Non-Gaussian Distributional Analyses of Reaction Times (RT): Improvements that Increase Efficacy of RT Tasks for Describing Cognitive Processes.
Review in Neuropsychology review, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Differences in Ex-Gaussian Parameters from Response Time Distributions Between Individuals with and Without Attention Deficit/Hyperactivity Disorder: A Meta-analysis.Neuropsychology review · 2024Pooled it
- Not normal: a simulation study comparing effect sizes for skewed psychological data.Frontiers in psychology · 2026Article
- Extensions of multinomial processing tree models for continuous variables: A simulation study comparing parametric and non-parametric approaches.Behavior research methods · 2025Article
- How does practice modulate fake-production costs in a basketball task? Analyses of frequency distributions and mixture effects.Psychological research · 2025Article
- Distracted by Previous Experience: Integrating Selection History, Current Task Demands and Saliency in an Algorithmic Model.Computational brain & behavior · 2024Article
- Beyond detection rate: understanding the vigilance decrement using signal detection theory.Frontiers in cognition · 2024Article
- Generalised exponential-Gaussian distribution: a method for neural reaction time analysis.Cognitive neurodynamics · 2023Article
- Correctness and response time distributions in the MemTrax continuous recognition task: Analysis of strategies and a reverse-exponential model.Frontiers in aging neuroscience · 2022Article
- Article
- Variable rather than extreme slow reaction times distinguish brain states during sustained attention.Scientific reports · 2021Article
- A distributional and theoretical analysis of reaction time in the reversal task across adulthood.Journal of clinical and experimental neuropsychology · 2020Article
- Theoretical models of reaction times arising from simple-choice tasks.Cognitive neurodynamics · 2019Article
- Modeling Response Time and Responses in Multidimensional Health Measurement.Frontiers in psychology · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This didactic aims of this review are to demonstrate the advantages of examining the entire reaction time (RT) distribution to better realize the efficacy of mental speed assessment in clinical neuropsychology. RT distributions are typically non-normal, requiring consideration of a host of statistical issues. Specifically, the appropriate model of the mental speed task's distribution (e.g., ex-Gaussian, Weibull, Normal-Gaussian, etc.) must be determined to know what parameters can be used to characterize test performance. While RT mean and standard deviation are typically used to characterize clinical performance, these parameters are usually inappropriate because RT performance rarely conforms to a normal-Gaussian distribution. For illustrative purposes, a tutorial for examining the entire RT distribution is provided that demonstrates differences between an Attention Deficit/Hyperactivity and a neurotypical group of college students. While such analyses are descriptive, it is important to characterize test performance in the context of a theoretical model of RT performance. Therefore, the tutorial includes interpretation that uses the Diffusion model (Ratcliff Psychological Review, 85, 59-108, 1978), which assumes an ex-Gaussian distribution. It is concluded that current results conform to a large literature demonstrating a more nuanced understanding of cognition afforded by non-Gaussian analysis of RT. This literature is compelling neuropsychology to enlarge assessment technology beyond the limitations of paper-and-pencil instruments.
Indexed as
Identifiers
30178182What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.