Help Privacy Policy Disclaimer
  Advanced SearchBrowse




Journal Article

Failure to apply signal detection theory to the Montreal Battery of Evaluation of Amusia may misdiagnose amusia


Henry,  Molly
Max Planck Research Group Auditory Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

(Publisher version), 496KB

Supplementary Material (public)
There is no public supplementary material available

Henry, M., & McAuley, J. D. (2012). Failure to apply signal detection theory to the Montreal Battery of Evaluation of Amusia may misdiagnose amusia. Music Perception, 30(5), 480-496. doi:10.1525/mp.2013.30.5.480.

Cite as: https://hdl.handle.net/11858/00-001M-0000-000F-F101-3
This article considers a signal detection theory (SDT) approach to evaluation of performance on the Montreal Battery of Evaluation of Amusia (MBEA). One hundred fifty-five individuals completed the original binary response version of the MBEA (n = 62) or a confidence rating version (MBEA-C; n = 93). Confidence ratings afforded construction of empirical receiver operator characteristic (ROC) curves and derivation of bias-free performance measures against which we compared the standard performance metric, proportion correct (PC), and an alternative signal detection metric, d ′. Across the board, PC was tainted by response bias and underestimated performance as indexed by Az , a nonparametric ROC-based performance measure. Signal detection analyses further revealed that some individuals performing worse than the standard PC-based cutoff for amusia diagnosis showed large response biases. Given that PC is contaminated by response bias, this suggests the possibility that categorizing individuals as having amusia or not, using a PC-based cutoff, may inadvertently misclassify some individuals with normal perceptual sensitivity as amusic simply because they have large response biases. In line with this possibility, a comparison of amusia classification using d ′- and PC-based cutoffs showed potential misclassification of 33% of the examined cases.