Qualtrics_REsT_ms_v3.3.pdf (187.75 kB)
An online cognitive bias task: the Rough Estimation Task using Qualtrics
journal contribution
posted on 2020-01-22, 09:20 authored by Thom WilcocksonThom Wilcockson, Emmanuel M Pothos, W Miles CoxMeasurement of cognitive bias typically relies on laboratory-based tasks. In order for cognitive bias measures to be useful outside of laboratory settings, a simple measure is required which does not rely on precise measurement tools, for example, precise reaction time measurement (which can be done only with specialized software typically running through either dedicated hardware or specifically configured computers). The Rough Estimation Task is a simple reading task which has been previously shown to be an effective measure of alcohol-related cognitive bias. We conducted an online version of the Rough Estimation Task, so that we could measure cognitive bias away from a laboratory environment. We also measured whether baseline Rough Estimation Task scores could predict future drinking and Rough Estimation Task scores. A sample of undergraduate participants completed the study online. We found that the online Rough Estimation Task was associated with both current and future drinking, as measured in a follow-up online task. The results imply that the online Rough Estimation Task could be used as a simple online measure of cognitive bias for both concurrent and future drinking behavior, and so raises hope for employing this measure outside of laboratory settings and possibly even in clinical applications.
History
School
- Sport, Exercise and Health Sciences
Published in
Behavioural PharmacologyVolume
31Issue
1Pages
97 - 101Publisher
Ovid Technologies (Wolters Kluwer Health)Version
- AM (Accepted Manuscript)
Rights holder
© Wolters Kluwer Health, Inc.Publisher statement
This is a non-final version of an article published in final form in WILCOCKSON, T.D.W., POTHOS, E.M. and COX, W.M., 2020. An online cognitive bias task: the Rough Estimation Task using Qualtrics. Behavioural Pharmacology, 31 (1), pp.97-101.Acceptance date
2019-08-20Publication date
2020-02-01Copyright date
2020ISSN
0955-8810eISSN
1473-5849Publisher version
Language
- en
Depositor
Dr Thom Wilcockson. Deposit date: 17 January 2020Usage metrics
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