Corrigendum Corrigendum: Signal Detection Measures Cannot Distinguish Perceptual Biases From Response Biases Perception 2016, Vol. 45(8) 964–965 ! The Author(s) 2016 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav DOI: 10.1177/0301006616637983 pec.sagepub.com Owing to errors made by the authors, Jessica K. Witt, J. Eric T. Taylor, Mila Sugovic, and John T. Wixted, the main conclusion of the article was reached using the wrong formula. A reevaluation with the correct formula confirmed the main conclusion. Jessica K. Witt, J. Eric T. Taylor, Mila Sugovic, and John T. Wixted (2015) Signal Detection Measures Cannot Distinguish Perceptual Biases From Response Biases Perception, 44, 289–300, doi:10.1068/p7908 The following corrections apply: The authors simulated data from the Muller-Lyer illusion, which was analyzed using signal detection theory (SDT) measures d’ and c. The authors misreported the equation for c. The correct equation, which was used in the analyses (and for the corresponding data plotted in Figure 1), should be: c ¼ ½zðhitsÞ þ zðfalse alarmsÞ= 2 ð1Þ The incorrect equation was used in reporting the values of c in Figure 2, so the authors recreated Figure 2 below using the correct equation above. The authors have also corrected the figure caption, which had mislabeled the tails-in versus tails-out conditions (corrections are bolded in the new figure caption). In addition, the authors have now posted the R-code for the simulations and the figures at http://amplab.colostate.edu/ MullerLyerSDTsimulations.html. These simulations show that equal shifts due to tail orientation were modeled for both short and long lines. These corrections do not change the paper’s main conclusion that, for discrimination experiments, a change in c cannot reveal whether the bias was perceptual or response-based. Corrigendum 965 Figure 2. Corrected version of Figure 2 from Witt et al. (2015). The figures represent hypothetical distributions of perceived line length for short (blue curves) and long (red curves) lines. The vertical purple line represents the criterion location for classifying a line as long. Panel (a) shows distributions when there is no perceptual or response-based bias. Panels (b) and (c) show distributions when there are only responsebased biases. Panels (d) and (e) show distributions when there are only perceptual biases. A perceptual bias towards shorter means that there is a perceptual bias to see the lines as shorter. The left column shows hypothetical effects on response bias (b) and perceptual bias (d) for the tails-in condition. The right column shows hypothetical effects on response bias (c) and perceptual bias (e) for the tails-out condition. Note that both the response bias and the perceptual bias in each column lead to the exact same distribution of hits and false alarms as each other. For the tails-out condition both types of changes lead to increased hits and false alarms relative to the baseline condition; for the tails-in condition both types of changes lead to decreased hits and false alarms relative to the baseline condition. In other words, both types of biases would lead to the same effect on c. Consequently, an effect in c cannot, in and of itself, differentiate between a perceptual bias and a response-based bias.
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