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Low experimental power makes a crisis in visual attention inevitable, but easy to address

Published online by Cambridge University Press:  26 November 2025

Gregory Francis  and
Evelina Thunell Open the ORCID record for Evelina Thunell [Opens in a new window]
Gregory Francis*
Affiliation:
Purdue University, Psychological Sciences, West Lafayette, IN, USA gfrancis@purdue.edu
Evelina Thunell
Affiliation:
Karolinska Institutet, Department of Clinical Neuroscience, Stockholm, Sweden evelina.thunell@ki.se
*
*Corresponding author.
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Abstract

We suggest that the crisis in visual attention is caused by problems prevalent in many other areas of psychology: low-power experiments and questionable research practices. We demonstrate that many attention experiments use sample sizes that are several orders of magnitude too small and argue that it is unreasonable to expect theoretical clarity based on such unreliable empirical data.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 48 , 2025 , e140
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Copyright
© The Author(s), 2025. Published by Cambridge University Press

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References

Cespón, J., Hommel, B., Korsch, M., & Galashan, D. (2020). The neurocognitive underpinnings of the Simon effect: An integrative review of current research. Cognitive, Affective, & Behavioral Neuroscience, 20, 1133–1172.CrossRefGoogle ScholarPubMed
Cisler, J. M., Wolitzky-Taylor, K. B., Adams, T. G. Jr., Babson, K. A., Badour, C. L. & Willems, J. L. (2011). The emotional Stroop task and posttraumatic stress disorder: A meta-analysis. Clinical Psychological Review, 31(5), 817–828.CrossRefGoogle ScholarPubMed
Francis, G. (2024a). IntroStats Online. YIP Software. https://yipstats.com/OnlineStatistics/chapters/calculators/calculators.shtml Google Scholar
Francis, G. (2024b). STATLAB. YIP Software. https://yipstats.com Google Scholar
Francis, G. & Neath, I. (2015). Cognitive psychology online laboratory (CogLab). Cengage Publishing. https://coglab.cengage.com Google Scholar
Francis, G., & Thunell, E. (2022). Excess success in articles on object-based attention. Attention, Perception, & Psychophysics, 84, 700–714.CrossRefGoogle ScholarPubMed
Kuhn, T. S. (1962). The structure of scientific revolutions. Chicago: University of Chicago Press.Google Scholar
Landry, O., & Parker, A. (2013). A meta-analysis of visual orienting in autism. Frontiers in Human Neuroscience, 7, 883. https://doi.org/10.3389/fnhum.2013.00833 CrossRefGoogle ScholarPubMed
Šömen, M. M., Peskar, M., Wollesen, B., Gramann, K., & Marusic, U. (2023). Does standing up enhance performance on the Stroop task in healthy young adults? A systematic review and meta-analysis. International Journal of Environmental Research and Public Health, 20, 2319. https://doi.org/10.3390/ijerph20032319 CrossRefGoogle ScholarPubMed