When does information about causal structure improve statistical reasoning?

McNair, S and Feeney, A (2014) When does information about causal structure improve statistical reasoning? Quarterly Journal of Experimental Psychology, 67 (4). pp. 625-645. ISSN 1747-0218

Abstract

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Authors/Creators:
  • McNair, S
  • Feeney, A
Copyright, Publisher and Additional Information: © 2013 The Experimental Psychology Society. This is an Accepted Manuscript of an article published by Taylor & Francis in Quarterly Journal of Experimental Psychology on 12 August 2013, available online: http://www.tandfonline.com/10.1080/17470218.2013.821709. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Statistical reasoning; Bayesian reasoning; Base rate neglect; Causal reasoning
Dates:
  • Published: April 2014
  • Accepted: 14 June 2013
  • Published (online): 12 August 2013
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 05 May 2016 14:51
Last Modified: 12 Apr 2017 00:24
Published Version: http://dx.doi.org/10.1080/17470218.2013.821709
Status: Published
Publisher: Taylor & Francis
Identification Number: https://doi.org/10.1080/17470218.2013.821709
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