Transactions on Data Analysis in Social Science

Transactions on Data Analysis in Social Science

A Practical Examination of a Novel Statistical Approach for Anticipating Musicians’ Performance

Document Type : Original Article

Authors
Department of Industrial Management, Faculty of Management, University of Tehran, Tehran, Iran
Abstract
Great musicians have long offered a wealth of suggestions on how to manage and make it easier to face the challenging circumstances of significant concerts. These suggestions might be a subset of self-management, stress management, etc., to regulate irrational feelings throughout the performance. While musicians frequently employ a variety of ways to manage the intensity of difficult situations during performances, there is still a need for an effective plan to manage the unfavorable effects of emotions or stress. Therefore, the connection between a musician's life cycle and performance must be discovered. This work examines the relationship between performance quality and biorhythm by doing a more thorough examination of the subject, introducing major biorhythms, and assessing the relationship. This relationship has been assessed using a discriminant analysis (DFA). There haven't yet been any research that compare the relationship between biorhythm and musical performance quality. But several academics have conducted studies to determine the relationship between biorhythms and various events, including accidents and other occurrences. Its outcomes have been divided into two categories. Some people have rejected the link between events and biorhythm, while others have embraced it and found significance in it. To the second category this study belongs.
Keywords

McEvoy, C. T., Temple, N., & Woodside, J. V. (2012). Vegetarian diets, low-meat diets and health: a review. Public health nutrition, 15(12), 2287-2294. doi:10.1017/S1368980012000936
Khalil, T. M., & Kurucz, C. N. (1977). The influence of 'biorhythm'on accident occurrence and performance. Ergonomics, 20(4), 389-398. doi:10.1080/00140137708931641
Wright, M. L.(1977). Biorhythms: Fact and Fancy. in Human Factors and Ergonomics Society Annual Meeting Proceedings, 21(3),193-196. doi:10.1177/107118137702100305
Hoseini, S. M. , Mehdizadeh, A. A. (2009). Biorhythm And Educational Performance: Students Of Islamic Azad University, Firoozkuh Branch.
Rabiee, A., & Khatamino, F. (2011). Study of the relationship between biorhythm and staff's job satisfaction (Case study: Nargan Company). Quarterly Management & Human Resources in Oil Industry, 2(8), 29-52.
D'andrea, V. J., Black, D. R., & Stayrook, N. G. (1984). Relation of the Fliess-Swoboda Biorhythm Theory to suicide occurrence. The Journal of nervous and mental disease, 172(8), 490-494. doi:10.1097/00005053-198408000-00008
Saket, R. K., Kaushik, W. C. S., & Singh, C. G. (2011). Biorhythmic analysis to prevent aviation accidents. In Innovations in Defence Support Systems-2 (pp. 207-240). Springer, Berlin, Heidelberg. doi:10.1007/978-3-642-17764-4_7
Stevenson, A. (2010). Oxford dictionary of English. USA: Oxford University Press.
Biorhythm, C. (2014). Biorhythm Awareness. Bookpubber.
Hines, T. M. (1998). Comprehensive review of biorhythm theory. Psychological reports, 83(1), 19-64. doi:10.2466/pr0.1998.83.1.19
D'andrea, V. J., Black, D. R., & Stayrook, N. G. (1984). Relation of the Fliess-Swoboda Biorhythm Theory to suicide occurrence. The Journal of nervous and mental disease, 172(8), 490-494. doi:10.1097/00005053-198408000-00008
Taylor, C. G. (2004). The structure & dynamics of the biorhythm.
Fellner, D. J., & Sulzer-Azaroff, B. (1984). Increasing industrial safety practices and conditions through posted feedback. Journal of Safety Research, 15(1), 7-21. doi:10.1016/0022-4375(84)90026-4
Willey, P., & Farnkoni, A. (2003). Scientific tests of biorhythmology do not support its claims. Science confronts the paranormal (σσ. 219–221). Buffalo, NY: Prometheus.
Arab, F., Omidvari, M., & Nasiripour, A. A. (2014). Investigating of the effect of Biorhythm on work-related Accidents. Health and Safety at Work, 4(2), 51-58.
Lachenbruch, P. A. (1975).Discriminant analysis. Wiley Online Library.
McLachlan, G. (2005). Discriminant Analysis and Statistical Pattern Recognition [PDF]. Chichester, England: John Wiley & Sons.
Press, S. J., & Wilson, S. (1978). Choosing between logistic regression and discriminant analysis. Journal of the American Statistical Association, 73(364), 699-705. doi:10.1080/01621459.1978.10480080
Aldrich, J., & Cnudde, C. F. (1975). Probing the bounds of conventional wisdom: A comparison of regression, probit, and discriminant analysis. American Journal of Political Science, 571-608. doi:10.2307/2110547
Volume 2, Issue 1
2020
Pages 10-22

  • Receive Date 17 October 2019
  • Revise Date 14 December 2019
  • Accept Date 24 February 2020