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The Musical Ear Test, a new reliable test for measuring musical competence

Wallentin, Mikkel, Nielsen, Andreas Højlund, Friis-Olivarius, Morten, Vuust, Christian, Vuust, Peter·2010·Learning and Individual Differences
DOI 10.1016/j.lindif.2010.02.004
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Abstract

This paper reports results from three experiments using the Musical Ear Test (MET), a new test designed for measuring musical abilities in both musicians and non-musicians in an objective way with a relatively short duration (< 20 min.). In the first experiment we show how the MET is capable of clearly distinguishing between a group of professional musicians and a group of non-musicians. In the second experiment we demonstrate that results from the MET are strongly correlated with measures of musical expertise obtained using an imitation test. In the third experiment we show that the MET also clearly distinguishes groups of non-musicians, amateurs and professional musicians. The test is found to have a large internal consistency (Cronbach alpha: 0.87). We further show a correlation with amount of practice within the group of professionals as well as a correlation with a forward digit span test.

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Research works printed but not linked: 48

  1. Bangert, 2006, Shared networks for auditory and motor processing in professional pianists: Evidence from fMRI conjunction, NeuroImage, 30, 917, 10.1016/j.neuroimage.2005.10.044 · DOI
  2. Bever, 1974, Cerebral dominance in musicians and nonmusicians, Science, 185, 537, 10.1126/science.185.4150.537 · DOI
  3. Bopp, 2005, Aging and verbal memory span: A meta-analysis, The journals of gerontology Series B, Psychological sciences and social sciences, 60, P223, 10.1093/geronb/60.5.P223 · DOI · Paper page
  4. Carson, 1998, Why has musical aptitude assessment fallen flat? And what can we do about it?, Journal of Career Assessment, 6, 311, 10.1177/106907279800600303 · DOI
  5. Chabris, 1999, Prelude or requiem for the ‘Mozart effect’?, Nature, 400, 826, 10.1038/23608 · DOI
  6. Chan, 1998, Music training improves verbal memory, Nature, 396, 128, 10.1038/24075 · DOI
  7. Cronbach, 1951, Coefficient alpha and the internal structure of tests, Psychometrika, 16, 297, 10.1007/BF02310555 · DOI · Paper page
  8. Dobbs, 1989, Adult age differences in working memory, Psychology and Aging, 4, 500, 10.1037/0882-7974.4.4.500 · DOI · Paper page
  9. Edwards, 2000, Development of a standard test of musical ability for participants in auditory interface testing, Proceedings of the International Conference on Auditory Display (ICAD), 116
  10. Franklin, 2008, The effects of musical training on verbal memory, Psychology of Music, 36, 353, 10.1177/0305735607086044 · DOI · Paper page
  11. Fujioka, 2006, One year of musical training affects development of auditory cortical-evoked fields in young children, Brain, 129, 2593, 10.1093/brain/awl247 · DOI
  12. Gaab, 2003, Musicians differ from nonmusicians in brain activation despite performance matching, Annals of the New York Academy of Sciences, 999, 385, 10.1196/annals.1284.048 · DOI
  13. Gaser, 2003, Brain structures differ between musicians and non-musicians, Journal of Neuroscience, 23, 9240, 10.1523/JNEUROSCI.23-27-09240.2003 · DOI
  14. Helmbold, 2005, Differences in primary mental abilities between musicians and nonmusicians, Journal of Individual Differences, 26, 74, 10.1027/1614-0001.26.2.74 · DOI
  15. Ho, 2003, Music training improves verbal but not visual memory: Cross-sectional and longitudinal explorations in children, Neuropsychology, 17, 439, 10.1037/0894-4105.17.3.439 · DOI
  16. Howe, 1998, Innate talents: Reality or myth?, The Behavioral and brain sciences, 21, 399, 10.1017/S0140525X9800123X · DOI
  17. Hutchinson, 2003, Cerebellar volume of musicians, Cerebral Cortex, 13, 943, 10.1093/cercor/13.9.943 · DOI
  18. Ivanov, 2003, The Mozart Effect and primary school children, Psychology of Music, 31, 405, 10.1177/03057356030314005 · DOI
  19. Jakobson, 2003, Time tagging: A key to musicians' superior memory, Music Perception, 20, 307, 10.1525/mp.2003.20.3.307 · DOI
  20. Jausovec, 2006, The influence of Mozart's music on brain activity in the process of learning, Clinical Neurophysiology, 117, 2703, 10.1016/j.clinph.2006.08.010 · DOI
  21. Kilgour, 2000, Music training and rate of presentation as mediators of text and song recall, Memory & cognition, 28, 700, 10.3758/BF03198404 · DOI
  22. Koelsch, 1999, Superior pre-attentive auditory processing in musicians, NeuroReport, 10, 1309, 10.1097/00001756-199904260-00029 · DOI
  23. Krumhansl, 2000, Rhythm and pitch in music cognition, Psychological Bulletin, 126, 159, 10.1037/0033-2909.126.1.159 · DOI
  24. Lynn, 1989, Simple musical tests as measures of Spear mans g, Personality and Individual Differences, 10, 25, 10.1016/0191-8869(89)90173-6 · DOI
  25. Madison, 2009, Correlations between intelligence and components of serial timing variability, Intelligence, 37, 68, 10.1016/j.intell.2008.07.006 · DOI
  26. Musacchia, 2008, Relationships between behavior, brainstem and cortical encoding of seen and heard speech in musicians and non-musicians, Hearing research, 241, 34, 10.1016/j.heares.2008.04.013 · DOI
  27. Nantais, 1999, The Mozart effect: An artifact of preference, Psychological Science, 10, 370, 10.1111/1467-9280.00170 · DOI
  28. Palmer, 1990, Mental representations for musical meter, Journal of experimental psychology Human perception and performance, 16, 728, 10.1037/0096-1523.16.4.728 · DOI
  29. Pantev, 2001, Timbre-specific enhancement of auditory cortical representations in musicians, Neuroreport, 12, 169, 10.1097/00001756-200101220-00041 · DOI
  30. Peretz, 2003, Varieties of musical disorders, The Montreal Battery of Evaluation of Amusia. Annals of the New York Academy of Sciences, 999, 58
  31. Rammsayer, 2007, Performance on temporal information processing as an index of general intelligence, Intelligence, 35, 123, 10.1016/j.intell.2006.04.007 · DOI
  32. Rauscher, 1993, Music and spatial task performance, Nature, 365, 611, 10.1038/365611a0 · DOI
  33. Schellenberg, 2004, Music lessons enhance IQ, Psychological science: a journal of the American Psychological Society/APS, 15, 511, 10.1111/j.0956-7976.2004.00711.x · DOI · Paper page
  34. Schellenberg, 2005, Music listening and cognitive abilities in 10-and 11-year-olds: The blur effect, Neurosciences and Music Ii: from Perception to Performance, 1060, 202
  35. Schlaug, 1995, Increased corpus callosum size in musicians, Neuropsychologia, 33, 1047, 10.1016/0028-3932(95)00045-5 · DOI
  36. Schlaug, 1995, In vivo evidence of structural brain asymmetry in musicians, Science, 267, 699, 10.1126/science.7839149 · DOI
  37. Schneider, 2002, Morphology of Heschl's gyrus reflects enhanced activation in the auditory cortex of musicians, Nature Neuroscience, 5, 688, 10.1038/nn871 · DOI
  38. Schneider, 2005, Structural, functional, and perceptual differences in Heschl's gyrus and musical instrument preference, Annals of the New York Academy of Sciences, 1060, 387, 10.1196/annals.1360.033 · DOI
  39. Seashore, 1942, Science in music, Science, 95, 417, 10.1126/science.95.2469.417 · DOI
  40. Sloboda, 1996, The role of practice in the development of performing musicians, British journal of psychology (1953), 87, 287, 10.1111/j.2044-8295.1996.tb02591.x · DOI
  41. Steele, 1997, Listening to Mozart does not enhance backwards digit span performance, Perceptual and motor skills, 84, 1179, 10.2466/pms.1997.84.3c.1179 · DOI
  42. Steele, 1999, The mystery of the Mozart effect: Failure to replicate, Psychological Science, 10, 366, 10.1111/1467-9280.00169 · DOI
  43. Tervaniemi, 2005, Pitch discrimination accuracy in musicians vs nonmusicians: An event-related potential and behavioral study, Experimental brain research, 161, 1, 10.1007/s00221-004-2044-5 · DOI
  44. Thompson, 2001, Arousal, mood, and the Mozart effect, Psychological Science, 12, 248, 10.1111/1467-9280.00345 · DOI
  45. Tierney, 2008, Effects of early musical experience on auditory sequence memory, Empirical Musicology Review, 3, 178, 10.18061/1811/35989 · DOI
  46. Vuust, 2005, To musicians, the message is in the meter pre-attentive neuronal responses to incongruent rhythm are left-lateralized in musicians, NeuroImage, 24, 560, 10.1016/j.neuroimage.2004.08.039 · DOI
  47. Vuust, 2006, It don't mean a thing... Keeping the rhythm during polyrhythmic tension, activates language areas (BA47), NeuroImage, 31, 832, 10.1016/j.neuroimage.2005.12.037 · DOI
  48. Zhu, 2008, The influence of Mozart's sonata K.448 on visual attention: An ERPs study, Neuroscience Letters, 434, 35, 10.1016/j.neulet.2008.01.043 · DOI

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Metadata

Authors
Wallentin, M., Nielsen, A. H., Friis-Olivarius, M., Vuust, C., & Vuust, P.
Venue
Learning and Individual Differences
Publisher
Elsevier BV
Published
2010-06
Volume
20
Issue
3
Pages
188-196
ISSN
1041-6080
DOI
10.1016/j.lindif.2010.02.004
Cited by
225
References
6
Language
en
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