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An online cognitive bias task: the Rough Estimation Task using Qualtrics

journal contribution
posted on 22.01.2020 by Thom Wilcockson, Emmanuel M Pothos, W Miles Cox
Measurement 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 Pharmacology

Volume

31

Issue

1

Pages

97 - 101

Publisher

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

20/08/2019

Publication date

2020-02-01

Copyright date

2020

ISSN

0955-8810

eISSN

1473-5849

Language

en

Depositor

Dr Thom Wilcockson. Deposit date: 17 January 2020

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