A warning about median reaction time.
Abstract
When used with positively skewed reaction time distributions, sample medians tend to over-estimate population medians. The extent of overestimation is related directly to the amount of skew in the reaction time distributions and inversely to the size of the sample over which the median is computed. Simulations indicate that overestimation could approach 50 ms with small samples and highly skewed distributions. An important practical consequence of the bias in median reaction time is that sample medians must not be used to compare reaction times across experimental conditions when there are unequal numbers of trials in the conditions. If medians are used with unequal sample sizes, then the bias may produce an artifactual difference in conditions or conceal a true difference. Some recent studies of cuing and stimulus probability effects provide examples of this potential artifact.
Cited by (8)
- Modern robust statistical methods: An easy way to maximize the accuracy and power of your research.Erceg-Hurn, David M., Mirosevich, Vikki M. · 2008 · American Psychologist
- A Critique and Improvement of the CL Common Language Effect Size Statistics of McGraw and WongVargha, András, Delaney, Harold D. · 2000 · Journal of Educational and Behavioral Statistics
- Effective Analysis of Reaction Time DataWhelan, Robert · 2008 · The Psychological Record
- Enhanced multisensory integration in older adultsLaurienti, Paul J., Burdette, Jonathan H., Maldjian, Joseph A., Wallace, Mark T. · 2006 · Neurobiology of Aging
- Short Report: Reaction Time Analysis with Outlier Exclusion: Bias Varies with Sample SizeMiller, Jeff · 1991 · The Quarterly Journal of Experimental Psychology Section A
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A warning about median reaction time. https://app.cochat.ai/papers/10.1037//0096-1523.14.3.539
- The paper
- Miller, J. (1988). A warning about median reaction time. Journal of Experimental Psychology: Human Perception and Performance. https://doi.org/10.1037//0096-1523.14.3.539
Data sources
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.