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http://dx.doi.org/10.11627/jkise.2015.38.2.101

Causal Relationship Analysis of Winning Factors in Football Game : Structural Equation Model  

Kim, Ju-Hyung (School of Information and Computer Engineering, Hongik University)
Chang, Kyu-Chang (School of Information and Computer Engineering, Hongik University)
Kim, Sang-Hye (School of Information and Computer Engineering, Hongik University)
Park, Jung-Min (School of Information and Computer Engineering, Hongik University)
Ha, Chunghun (School of Information and Computer Engineering, Hongik University)
Publication Information
Journal of Korean Society of Industrial and Systems Engineering / v.38, no.2, 2015 , pp. 101-107 More about this Journal
Abstract
Modern football has transformed into a scientific football based on data. With this trend, various methods for tactics studies and outcome prediction have been developed on the perspective of data analysis. In this paper, we propose a structural equation model for football game. We analyze critical factors that affect to the winning of game except psychological parts and the causal relationship between latent variables and observed variables is statistically verified through the proposed structural equation model. The results show that the Passing ability and the Ball possession affect to the Attack ability, and consequently it has a positive impact on the winning of game.
Keywords
Structural Equation Model; Football Factors Analysis; Causal Relationship Analysis;
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Times Cited By KSCI : 3  (Citation Analysis)
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1 Arbuckle, J.L., IBM SPSS Amos 20 User's Guide, 2011.
2 Byrne, B.M., Structural equation modeling with AMOS : Basic concepts, applications, and programming, 2nd ed. New York : Routledge/Taylor and Francis, 2009.
3 Carling, C., Influence of opposition team formation on physical and skill-related performance in a professional soccer team. Eur. J. Sport Sci., 2011, Vol. 11, No. 3, pp. 155-164.   DOI
4 Choi, K.S., The comparison of the type of pass and the pass success rate in the 2010 South Africa World Cup winning team. J. Korean Assoc. Phys. Educ. Sport Girls Women, 2012, Vol. 26, No. 4, pp. 509-514.
5 Dixon, M.J. and Coles, S.G., Modelling association football scores and inefficiencies in the football betting market. J.R. Stat. Soc. Ser. C(Applied Stat.), 1997, Vol. 46, No. 2, pp. 265-280.   DOI
6 Hooper, D., Coughlan, J., and Mullen, M., Structural equation modelling : Guidelines for determining model fit. Electron. J. Bus. Res. Methods, 2008, Vol. 6, No. 1, pp. 53-60.
7 Karlis, D. and Ntzoufras, I., Analysis of sports data by using bivariate Poisson models. J. R. Stat. Soc. Ser. C (Applied Stat.), 2003, Vol. 52, No. 3, pp. 381-393.
8 Kim, C.S., A Comparison Analysis of Effects of System Factor on Satisfaction in Service Sectors. J. Soc. Korea Ind. Syst. Eng., 2011, Vol. 34, No. 1, pp. 80-89.
9 Kim, K.S., Structural Equation Modeling Analysis with AMOS, 1st ed. Seoul : Hannarae, 2006.
10 Kim, S.H., Kim, T.H., and Kim, P.S., A Study of Factors Influencing Customer Satisfaction and Loyalty of MP3-Player. J. Soc. Korea Ind. Syst. Eng., 2007, Vol. 30, No. 2, pp. 15-22.
11 Lee, H.Y., Research Methodology, 1st ed. Seoul : Chungram, 2012.
12 Maher, M.J., Modelling association football scores. Stat. Neerl., 1982, Vol. 36, No. 3, pp. 109-118.   DOI
13 Yun, Y.K. and Soo, L.Y., Hierarchical Importance and Structure of Factors in Football Performance. Korean J. Sport. Psychol., 2006, Vol. 17, No. 4, pp. 87-100.
14 Park, M.H., Effects of ISO 9001:2008 Requirement Execution and TQM on Financial Performance. J. Soc. Korea Ind. Syst. Eng., 2012, Vol. 35, No. 2, pp. 80-87.
15 Shah, R. and Goldstein, S.M., Use of structural equation modeling in operations management research : Looking back and forward. J. Oper. Manag., January 2006, Vol. 24, No. 2, pp. 148-169.   DOI