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

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.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-000F-F101-3 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-CCE5-E
Genre: Journal Article

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Henry_Failure.pdf (Publisher version), 496KB
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 Creators:
Henry, Molly1, Author              
McAuley, J. Devin2, Author
Affiliations:
1Max Planck Research Group Auditory Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634548              
2Michigan State University, East Lansing, MI, USA, ou_persistent22              

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Free keywords: Montreal Battery of Evaluation of Amusia (MBEA); Signal detection theory (SDT); Amusia; ROC curves; Music perception
 Abstract: 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.

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Language(s): eng - English
 Dates: 2012-12
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1525/mp.2013.30.5.480
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Title: Music Perception
Source Genre: Journal
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Publ. Info: Berkeley, CA : University of California Press
Pages: - Volume / Issue: 30 (5) Sequence Number: - Start / End Page: 480 - 496 Identifier: ISSN: 0730-7829
CoNE: https://pure.mpg.de/cone/journals/resource/954925533029