The Effect of Alcohol Hangover on Choice Response Time

34 Pages Posted: 15 Nov 2015 Last revised: 5 Apr 2016

See all articles by James Grange

James Grange

Keele University

Richard Stephens

Keele University

Kate Jones

Health & Safety Laboratory

Lauren Owen

University of Sheffield

Date Written: April 5, 2016

Abstract

The effect of alcohol hangover on cognitive processing has received little attention. We explored the effect of alcohol hangover on choice response time (RT), a dominant dependent variable in cognitive research. Prior research of the effect of hangover on RT has produced mixed findings; all studies reviewed relied exclusively on estimates of central tendency (e.g., mean RT), which has limited information value. Here we present novel analytical methods by going beyond mean RT analysis. Specifically, we examined performance in hangover conditions across the whole RT distribution by fitting ex-Gaussian models to participant data, providing a formal description of the RT distribution. This analysis showed detriments to performance under hangover conditions at the slower end of the RT distribution; RT variance was also increased under hangover conditions. We also fitted an explicit mathematical process model of choice RT — the diffusion model — to participant data, which estimates parameters reflecting psychologically-meaningful processes underlying choice RT. This analysis showed that hangover reduced information processing efficiency during response selection, and increased response caution; changes in these parameters reflect hangover affecting core decisional-components of RT performance. The implications of the data as well as the methods used for hangover research are discussed.

Keywords: Alcohol hangover, choice response time, cognitive processing, cognitive model

Suggested Citation

Grange, James and Stephens, Richard and Jones, Kate and Owen, Lauren, The Effect of Alcohol Hangover on Choice Response Time (April 5, 2016). Available at SSRN: https://ssrn.com/abstract=2690770 or http://dx.doi.org/10.2139/ssrn.2690770

James Grange (Contact Author)

Keele University ( email )

Keele, Staffordshire ST5 5BG
United Kingdom

Richard Stephens

Keele University ( email )

Keele, Staffordshire ST5 5BG
United Kingdom

Kate Jones

Health & Safety Laboratory ( email )

Buxton
United Kingdom

Lauren Owen

University of Sheffield ( email )

17 Mappin Street
Sheffield, Sheffield S1 4DT
United Kingdom

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