Title :
Confirmation Bias in Complex Analyses
Author :
Lehner, Paul Edward ; Adelman, Leonard ; Cheikes, Brant A. ; Brown, Mark J.
Author_Institution :
MITRE Corp., McLean
fDate :
5/1/2008 12:00:00 AM
Abstract :
Most research works investigating the confirmation bias has used abstract experimental tasks where participants drew inferences from just a few items of evidence. The experiment reported in this paper investigated the confirmation bias in a complex analysis task that is more characteristic of law enforcement investigations, financial analysis, and intelligence analysis. Participants were professionals, half of whom had intelligence analysis experience. The effectiveness of a procedure designed to mitigate the confirmation bias, called analysis of competing hypotheses (ACH), was tested. Results showed a confirmation bias for both experience groups, but ACH significantly reduced bias only for participants without intelligence analysis experience. Confirmation bias manifested as a weighting bias, not as an interpretation bias. Participants tended to agree on the interpretation of evidence (i.e., whose hypothesis was supported by the evidence) but tended to disagree on the importance of the evidence-giving more weight to the evidence that supported their preferred hypothesis and less weight to evidence that disconfirmed it.
Keywords :
behavioural sciences; competing hypotheses analysis; complex analysis task; confirmation bias; financial analysis; intelligence analysis; law enforcement investigations; Failure analysis; Information analysis; Information technology; Laboratories; Law enforcement; Operations research; Performance analysis; Systems engineering and theory; Testing; Writing; Analysis of competing hypotheses (ACH); anchoring effect; complex analysis; confirmation bias; heuristics and biases;
Journal_Title :
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
DOI :
10.1109/TSMCA.2008.918634