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題名 重大勝利是否能增加職業男網選手之信心
Can a Major Win Enhance a Professional Tennis Player’s Confidence?
作者 林俊佑
Lin, Chun Yu
貢獻者 林良楓
Lin, Liang Feng
林俊佑
Lin, Chun Yu
關鍵詞 心理素質
高天分網球選手
網球
Mental toughness
Talent tennis player
Tennis
日期 2015
上傳時間 24-Aug-2015 09:53:17 (UTC+8)
摘要 本研究欲比較網球技術與心理素質與網球比賽勝率之關聯性，以及不同天分之男網選手的差異，並檢驗重大勝利能否影響選手之生涯。實證結果顯示，大多數的網球技術都和比賽勝率顯著地正相關，而有天分的選手於大多數網球技術之表現優於天分較差的選手。另外也發現選手得到ATP之賽事冠軍後，可以提升網球技術與心理素質；但在得到大滿貫(Grand Slam)賽事冠軍之後卻會退步。本研究結果亦顯示雖然攻擊、防守與心理素質對選手的比賽結果都有很大影響，但在贏得ATP級冠軍之前攻擊技術是影響比賽勝率最大的因素；而贏得大滿貫賽事冠軍之後防守技術則成為最重要的勝率影響因素。研究結果顯示獲得重大勝利之後確實會增加職業男網選手之信心。
This study tries to examine the tennis skills and mental toughness associated with winning percentages, compare the performance difference between talent players and less talent players, and find out how a major win can affect players career. The empirical results suggest that most of the tennis skills and mental toughness are positively and significantly associated with winning percentage. Talent players have better performance than those less talent players in most of tennis skills. The study also finds that players can improve offensive and defensive skills and mental toughness through winning an ATP title, but get worse after winning a Grand Slam title. The research findings suggest that before winning an ATP title offensive skill is as important as defensive skill for a player to gain more winning percentage, however, after winning a Grand Slam title defensive skill is the most important skill to win more winning percentage, although defensive skill and mental toughness are still play an important role for winning more percentage. The research concludes that a major win does enhance a player’s confidence.
參考文獻 Abbott, A., C. Button, G. J. Pepping, and D. Collins, 2005. Unnatural selection: Talent identification and development in sport. Nonlinear Dynamics, Psychology, and Life Sciences, 9(1), 61-88.
Baker, R. D., & McHale, I. G. 2014. A dynamic paired comparisons model: Who is the greatest tennis player? European Journal of Operational Research, 236(2), 677-684.
Bandura, A. 1997. Self-efficacy: The exercise of control. New York: Freeman.
Bloomfield, J., P. A. Fricker, and K.D. Fitch. 1995. Science and Medicine in Sport, 2nd. New Jersey: Wiley.
Bompa, G., and H. Gregory. 1999. Periodization: Theory and Methodology of Training. Human Kinetics Publishers.
Boroujeni, S. T., S. B. G. Mirheydari, Z. Kaviri, and S. Shahhosseini. 2012. The Survey of Relationship and Comparison- Emotional Intelligence, Competitive Anxiety and Mental Toughness Female Super League Basketball Players. Social and Behavioral Science 46, 1440-1444
Boulier, B. L., and Stekler, H. O. 1999. Are sports seedings good predictors? An evaluation. International Journal of Forecasting, 15(1), 83–91
Chitnis A. and O. Vaidya. 2014 Performance assessment of tennis players: Application of DEA. Social and Behavioral Science 133, 74-83
Clarke, S. R., and D. Dyte. 2000. Using official ratings to simulate major tennis tournaments. International Transactions in Operational Research, 7(6), 585–594
Dahl, G., 2012. A matrix-based ranking method with application to tennis. Linear Algebra and its Applications 437 (1), 26-36
del Corral, J., and J. Prieto-Rodríguez. 2010. Are differences in ranks good predictors for Grand Slam tennis matches? International Journal of Forecasting, 26(3), 551– 563
Dewhurst, S. A., R. J. Anderson, G. Cotter, L. Crust, and P. J. Clough. 2012. Identifying the cognitive basis of mental toughness: Evidence from the directed forgetting paradigm. Personality and individual differences, 53(5), 587-590.
Filipcic, A., A. Panjan, and N. Sarabon. 2014. Classification of top male tennis players. International Journal of Computer Science in Sport, 13, 36-42
Global Community Tennis Association Inc., Percentage Tennis, http://www.playtennisintheparks.com/pages/index.cfm?siteid=8105
Gonzalez-Diaz, J., O. Gossner, and B. W. Rogers. 2012. Performing best when it matters most: Evidence from professional tennis. Journal of Economic Behavior & Organization 84 (3), 767-781
Halkos, G., and N. Tzeremes. 2012. Evaluating professional tennis players’ career performance- A Data Envelopment Analysis approach. Munich Personal RePEc Archive.
Han, B., R. Xie, L. Li, L. Zhu, and S. Wang. 2014. A heuristic biomarker selection approach based on professional tennis player ranking strategy. Computer Methods and Programs in Biomedicine 113 (1), 186-201
Klaassen, F., and J. Magnus. 2003. Forecasting the winner of a tennis match. European Journal of Operational Research, 148(2), 257–267
Knottenbelt, W. J., D. Spanias, and A. M. Madurska. 2012. A common-opponent stochastic model for predicting the outcome of professional tennis matches. Computers and Mathematics with Applications 64 (12), 3820-3827
McHale, I., and A. Morton. 2011. A Bradley-Terry type model for forecasting tennis match results. International Journal of Forecasting, 27(2), 619–630
Newland, A., M. Newton, L. Finch, C. R. Harbke, and L. Podlog. 2013. Moderating variables in the relationship between mental toughness and performance in basketball. Journal of Sport and Health Science 2 (3), 184-192
Papic, V., N. Rogulj, and V. Plestina. 2009. Identification of sport talents using a web-oriented expert system with a fuzzy module. Expert Systems with Applications 36(5), 8803-8838
Radicchi, F. 2011. Who Is the Best Player Ever? A Complex Network Analysis of the History of Professional Tennis. PloS one 6 (2): e17249.
Ramon, N., J. L. Ruiz, and I. Sirvent. 2012. Common sets of weights as summaries of DEA profiles of weights: With an application to the ranking of professional tennis players. Expert Systems with Applications, 39(5): 4882–4889
Scheibehenne, B., and A. Broder. 2007. Predicting Wimbledon 2005 tennis results by mere player name recognition. International Journal of Forecasting, 23(3), 415–426
Weinberg, R. S., & D. Gould. 2014. Foundations of Sport and Exercise Psychology, 6E. Human Kinetics.
Werkiani, M. E., B. Zakizadeh, M.S. Feizabadi, F.N Golsefidi, and M. Rahimi. 2011. Review of the effective talent identification factors of badminton for better teaching to success. Social and Behavioral Sciences 31,834-836
描述 碩士
國立政治大學
會計研究所
102353030
資料來源 http://thesis.lib.nccu.edu.tw/record/#G1023530301
資料類型 thesis
dc.contributor.advisor 林良楓zh_TW
dc.contributor.advisor Lin, Liang Fengen_US
dc.contributor.author (Authors) 林俊佑zh_TW
dc.contributor.author (Authors) Lin, Chun Yuen_US
dc.creator (作者) 林俊佑zh_TW
dc.creator (作者) Lin, Chun Yuen_US
dc.date (日期) 2015en_US
dc.date.accessioned 24-Aug-2015 09:53:17 (UTC+8)-
dc.date.available 24-Aug-2015 09:53:17 (UTC+8)-
dc.date.issued (上傳時間) 24-Aug-2015 09:53:17 (UTC+8)-
dc.identifier (Other Identifiers) G1023530301en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/77858-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 會計研究所zh_TW
dc.description (描述) 102353030zh_TW
dc.description.abstract (摘要) 本研究欲比較網球技術與心理素質與網球比賽勝率之關聯性，以及不同天分之男網選手的差異，並檢驗重大勝利能否影響選手之生涯。實證結果顯示，大多數的網球技術都和比賽勝率顯著地正相關，而有天分的選手於大多數網球技術之表現優於天分較差的選手。另外也發現選手得到ATP之賽事冠軍後，可以提升網球技術與心理素質；但在得到大滿貫(Grand Slam)賽事冠軍之後卻會退步。本研究結果亦顯示雖然攻擊、防守與心理素質對選手的比賽結果都有很大影響，但在贏得ATP級冠軍之前攻擊技術是影響比賽勝率最大的因素；而贏得大滿貫賽事冠軍之後防守技術則成為最重要的勝率影響因素。研究結果顯示獲得重大勝利之後確實會增加職業男網選手之信心。zh_TW
dc.description.abstract (摘要) This study tries to examine the tennis skills and mental toughness associated with winning percentages, compare the performance difference between talent players and less talent players, and find out how a major win can affect players career. The empirical results suggest that most of the tennis skills and mental toughness are positively and significantly associated with winning percentage. Talent players have better performance than those less talent players in most of tennis skills. The study also finds that players can improve offensive and defensive skills and mental toughness through winning an ATP title, but get worse after winning a Grand Slam title. The research findings suggest that before winning an ATP title offensive skill is as important as defensive skill for a player to gain more winning percentage, however, after winning a Grand Slam title defensive skill is the most important skill to win more winning percentage, although defensive skill and mental toughness are still play an important role for winning more percentage. The research concludes that a major win does enhance a player’s confidence.en_US
dc.description.tableofcontents Table of Contents III
List of Tables IV
Chapter 1 Introduction 1
1.1 Motivation 1
1.2 Research Purpose and Problems 1
1.3 Organization of the Research 2
Chapter 2 Literature Review 3
2.1 Introduce of Association of Tennis Professionals 3
2.2 Tennis Matches Related Literature 5
2.3 Talent Identification Background and Related Literature 6
2.4 Background and Related Literatures of Sport Psychology 7
Chapter 3 Research Design 9
3.1 Hypotheses Development 9
3.2 Data Collection 10
3.3 Variables Description 11
3.4 Research Method 14
Chapter 4 Empirical Results 16
4.1 The Descriptive Statistics 16
4.2 Tennis Skills and Winning Percentage 21
4.3 Talent Players Perform Better Than Less Talent Players 25
4.4 A Major Win Enhance a Player’s Performance 32
Chapter 5 Conclusions and Suggestions 42
5.1 Conclusions 42
5.2 Suggestions and Limitations 43
References 44		zh_TW
dc.format.extent 1191381 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G1023530301en_US
dc.subject (關鍵詞) 心理素質zh_TW
dc.subject (關鍵詞) 高天分網球選手zh_TW
dc.subject (關鍵詞) 網球zh_TW
dc.subject (關鍵詞) Mental toughnessen_US
dc.subject (關鍵詞) Talent tennis playeren_US
dc.subject (關鍵詞) Tennisen_US
dc.title (題名) 重大勝利是否能增加職業男網選手之信心zh_TW
dc.title (題名) Can a Major Win Enhance a Professional Tennis Player’s Confidence?en_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) Abbott, A., C. Button, G. J. Pepping, and D. Collins, 2005. Unnatural selection: Talent identification and development in sport. Nonlinear Dynamics, Psychology, and Life Sciences, 9(1), 61-88.
Baker, R. D., & McHale, I. G. 2014. A dynamic paired comparisons model: Who is the greatest tennis player? European Journal of Operational Research, 236(2), 677-684.
Bandura, A. 1997. Self-efficacy: The exercise of control. New York: Freeman.
Bloomfield, J., P. A. Fricker, and K.D. Fitch. 1995. Science and Medicine in Sport, 2nd. New Jersey: Wiley.
Bompa, G., and H. Gregory. 1999. Periodization: Theory and Methodology of Training. Human Kinetics Publishers.
Boroujeni, S. T., S. B. G. Mirheydari, Z. Kaviri, and S. Shahhosseini. 2012. The Survey of Relationship and Comparison- Emotional Intelligence, Competitive Anxiety and Mental Toughness Female Super League Basketball Players. Social and Behavioral Science 46, 1440-1444
Boulier, B. L., and Stekler, H. O. 1999. Are sports seedings good predictors? An evaluation. International Journal of Forecasting, 15(1), 83–91
Chitnis A. and O. Vaidya. 2014 Performance assessment of tennis players: Application of DEA. Social and Behavioral Science 133, 74-83
Clarke, S. R., and D. Dyte. 2000. Using official ratings to simulate major tennis tournaments. International Transactions in Operational Research, 7(6), 585–594
Dahl, G., 2012. A matrix-based ranking method with application to tennis. Linear Algebra and its Applications 437 (1), 26-36
del Corral, J., and J. Prieto-Rodríguez. 2010. Are differences in ranks good predictors for Grand Slam tennis matches? International Journal of Forecasting, 26(3), 551– 563
Dewhurst, S. A., R. J. Anderson, G. Cotter, L. Crust, and P. J. Clough. 2012. Identifying the cognitive basis of mental toughness: Evidence from the directed forgetting paradigm. Personality and individual differences, 53(5), 587-590.
Filipcic, A., A. Panjan, and N. Sarabon. 2014. Classification of top male tennis players. International Journal of Computer Science in Sport, 13, 36-42
Global Community Tennis Association Inc., Percentage Tennis, http://www.playtennisintheparks.com/pages/index.cfm?siteid=8105
Gonzalez-Diaz, J., O. Gossner, and B. W. Rogers. 2012. Performing best when it matters most: Evidence from professional tennis. Journal of Economic Behavior & Organization 84 (3), 767-781
Halkos, G., and N. Tzeremes. 2012. Evaluating professional tennis players’ career performance- A Data Envelopment Analysis approach. Munich Personal RePEc Archive.
Han, B., R. Xie, L. Li, L. Zhu, and S. Wang. 2014. A heuristic biomarker selection approach based on professional tennis player ranking strategy. Computer Methods and Programs in Biomedicine 113 (1), 186-201
Klaassen, F., and J. Magnus. 2003. Forecasting the winner of a tennis match. European Journal of Operational Research, 148(2), 257–267
Knottenbelt, W. J., D. Spanias, and A. M. Madurska. 2012. A common-opponent stochastic model for predicting the outcome of professional tennis matches. Computers and Mathematics with Applications 64 (12), 3820-3827
McHale, I., and A. Morton. 2011. A Bradley-Terry type model for forecasting tennis match results. International Journal of Forecasting, 27(2), 619–630
Newland, A., M. Newton, L. Finch, C. R. Harbke, and L. Podlog. 2013. Moderating variables in the relationship between mental toughness and performance in basketball. Journal of Sport and Health Science 2 (3), 184-192
Papic, V., N. Rogulj, and V. Plestina. 2009. Identification of sport talents using a web-oriented expert system with a fuzzy module. Expert Systems with Applications 36(5), 8803-8838
Radicchi, F. 2011. Who Is the Best Player Ever? A Complex Network Analysis of the History of Professional Tennis. PloS one 6 (2): e17249.
Ramon, N., J. L. Ruiz, and I. Sirvent. 2012. Common sets of weights as summaries of DEA profiles of weights: With an application to the ranking of professional tennis players. Expert Systems with Applications, 39(5): 4882–4889
Scheibehenne, B., and A. Broder. 2007. Predicting Wimbledon 2005 tennis results by mere player name recognition. International Journal of Forecasting, 23(3), 415–426
Weinberg, R. S., & D. Gould. 2014. Foundations of Sport and Exercise Psychology, 6E. Human Kinetics.
Werkiani, M. E., B. Zakizadeh, M.S. Feizabadi, F.N Golsefidi, and M. Rahimi. 2011. Review of the effective talent identification factors of badminton for better teaching to success. Social and Behavioral Sciences 31,834-836		zh_TW