10Aug 2019

COMPARISON OF COGNITIVE ABILITIES BETWEEN MUSICIANS AND NON-MUSICIANS.

  • Kathmandu, Nepal.
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Existing body of knowledge demonstrates that musicians experience improved mental abilities than non-musicians in variety of mental ability tasks. The present study made a comparison of cognitive abilities (immediate auditory and visual memory, auditory and visual working memory load, spatial thinking ability and cognitive information processing) between musicians (N=30, 19 males and 11 females) and non-musicians (N=30, 10 males and 20 females) of Nepal. All participants had similar level of education. The mean age of the participants from the musical group was M=26.97 years (SD= 3.285) and from non-musical group was M=23.83 years (SD= 1.487). Series of tests including Immediate Span of Memory (Visual and Auditory), Visual and Auditory n-back tasks, Cross Section Test and Digit Symbol Test (WAIS Form I) were performed. The results showed no significant difference in any of the aforementioned cognitive tasks between the two groups. Participants who did not perform well in one task could not perform well in other similar tasks also. Results from the present study indicate that intelligence perhaps may not be a unitary construct as it possibly could be affected by variables including cultural framework, level of educational experience and increase in age. In spite of the fact that studies such as these are mostly conducted in the western context, comprehensive analysis of the non-western cultures may as well provide wealth of unexplored knowledge on music cognition. Nonetheless, this study tried to explore the probable causes for the variability of results between the West and the East.

  1. Ackerman, P. L., &Beier, M. E. (2005). Knowledge and Intelligence. In O. Wilhelm & R. W. Engle (Eds.), Handbook of understanding and measuring intelligence (pp. 125-140). USA: Sage Publications.
  2. Barrett, L. F., &Tugade, M. M. (2004). Individual differences in working memory capacity and dual-process theories of mind. Psychol Bull. 130(4), 553-573. doi: 1037/0033-2909.130.4.553
  3. Bernstein, D. A. (2018). Essentials of psychology (7th). USA: Cengage.
  4. Bermeitinger, C. (2016). Priming. Psychology and mental health: Concepts, methodologies, tools and applications (pp. 42-88). USA: Information Science Reference.
  5. Besson, M., Chobert, J., & Marie, C. (2011). Transfer of training between music and speech: Common processing, attention, and memory. Front Psychol, 2, 1-12. doi: 10.3389/fpsyg.2011.00094
  6. Bhargava, R. (2012). Span of Immediate Memory- Visual and Auditory. Agra, India: National Psychological Corporation.
  7. Bialystok, E., &DePape, A. M. R. (2009). Musical expertise, bilingualism and executive functioning. Journal of Experimental psychology: Human Perception and Performance, 35(2), 565-574. doi: 10.1037/a0012735
  8. Brain Workshop - a Dual N-Back game (version 4.8.4). (n.d.). Retrieved from http://brainworkshop.sourceforge.net/
  9. Carter, R. (2014). The human brain book (2nd). New York, USA: DK Publishing.
  10. Cepeda, N. J., Blackwell, K. A., &Munakata, (2013). Speed isn?t everything: Complex processing speed measures mask individual differences and developmental changes in executive control. Dev Sci., 16(2), 269-286. doi:10.1111/desc.12024
  11. Cohen, C. A. &Hegarty, M. (2012).Inferring cross sections of 3D objects: A new spatial thinking test. Learning and Individual Differences, 22, 868-874. doi:10.1016/j.lindif.2012.05.007
  12. Flaugnacco, E., Lopez, L., Terribili, C., Montico, M., Zoia, S., &Schon, D. (2015). Music training increases phonological awareness and reading skills in developmental dyslexia: A randomized control trial. PloS ONE, 10(9), doi:10.1371/journal.pone.0138715
  13. Gardner, M. K. (2011). Theories of Intelligence. In M. A. Bray & T. J. Kehle (Eds.), The Oxford handbook of school psychology (pp. 79-102). New York, USA: Oxford University Press.
  14. George, E. M., &Coch, D. (2011). Music training and working memory: An ERP study. Neuropsychologia, 49(5), 1083-1094. Retrieved from http://dx.doi.org/10.1016/j.neuropsychologia.2011.02.001
  15. Gutchess, A. H., &Indeck, A. (2009). Cultural influences on memory. Progress in Brain Research, 178, 137-150. doi: 1016/S0079-6123(09)17809-3
  16. Gutchess, A. H., Schwartz, A. J., &Boduroglu, A. (2011). The influence of culture on memory. ResearchGate. doi: 1007/978-3-642-21852-1_9
  17. Goede, M. D. (2009). Gender differences in spatial cognition (Doctoral dissertation). Utrecht University, Utrecht. Retrieved from https://dspace.library.uu.nl/handle/1874/32156
  18. Jensen, A. R. (1971). Individual differences in visual and auditory memory. Journal of Educational Psychology, 2(2), 123-131. Retrieved from https://pdfs.semanticscholar.org/ec77/4932b14b66b828a867603ec4636d4d8b3e0a.pdf
  19. Moreno, S., Bialystok, E., Barac, R., Schellenberg, E. G., Cepeda, N. J., & Chau, T. (2011). Short-term music training enhances verbal intelligence and executive function. PsycholSci, 22(11), 1425?1433. doi:10.1177/0956797611416999
  20. Nairne, J. S. (2013). Psychology (6th). USA: Wadsworth.
  21. Nairne, J. S. (1990). A feature model of immediate memory. Memory & Cognition, 18(3), 251-269. Retrieved from https://link.springer.com/content/pdf/10.3758%2FBF03213879.pdf
  22. Perlovsky, L. (2016). Music: Passion and cognitive functions. Retrieved from http://scitechconnect.elsevier.com/music-passions-and-cognitive-functions/
  23. Pomerantz, A. (2008). Clinical psychology: Science, practice, and culture. USA: Sage Publications.
  24. Reilly, D., Neumann, D. L., & Andrews, G. (2017). Gender differences in spatial ability: implications for STEM education and approaches to reducing the gender gap for parents and educators. In M. S. Khine (Ed.), Visual-spatial ability: Transforming research into practice (pp. 195-224). Switzerland: Springer International. doi: 10.1007/978-3-319-44385-0_10
  25. Rodrigues, A. C., Loureiro, M. A., &Caramelli, P. (2013). Long-term musical training may improve different forms of visual attention abilities. Brain and Cognition, 82(3), 229-235. Retrieved from http://doi.org/10.1016/j.bandc.2013.04.009
  26. Roivainen, E. (2011). Gender differences in processing speed: A review of recent research. Learning and Individual Difference, 21(2), 145-149. doi: 1016/j.lindif.2010.11.021
  27. Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review,103(3), 403-428. Retrieved from http://dx.doi.org/10.1037/0033-295X.103.3.403
  28. Schwartz, A. J., Boduroglu, A., &Gutchess, A. H. (2014). Cross-cultural differences in categorical memory errors. Cognitive Science, 38, 997-1007. doi: 10.1111/cogs.12109
  29. Sternberg, R. J., & Powell, J. S. (1982). Theories of Intelligence. In R. J. Sternberg (Ed.), Handbook of human intelligence (pp. 975-1000). USA: Cambridge University Press.
  30. Talamini, F., Carretti, B., &Grassi, M. (2016). The working memory of musicians and nonmusicians. Music Perception, 34(2), 183-191. doi: 1525/mp.2016.34.2.183
  31. Vasuki, P. R. M., Sharma, M., Demuth, K., &Arciuli J. (2016). Musicians' edge: A comparison of auditory processing, cognitive abilities and statistical learning. Hearing Research, 342, 112- 123. doi: http://dx.doi.org/10.1016/j.heares.2016.10.008
  32. Wechsler, D. (1955). Wechsler Adult Intelligence Scale- Form I. New York, USA: The Psychological Corporation.
  33. Zuk, J., Benjamin, C., Kenyon, A., &Gaab, N. (2014). Behavioral and neural correlates of executive functioning in musicians and non-musicians. PLoS ONE, 9(6), e99868. doi:10.1371/journal.pone.0099868.

[Gaurav Devkota. (2019); COMPARISON OF COGNITIVE ABILITIES BETWEEN MUSICIANS AND NON-MUSICIANS. Int. J. of Adv. Res. 7 (Aug). 493-499] (ISSN 2320-5407). www.journalijar.com

Gaurav Devkota
Kathmandu, Nepal

DOI:

Article DOI: 10.21474/IJAR01/9525      
DOI URL: https://dx.doi.org/10.21474/IJAR01/9525

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