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題名 大學籃球員招募對比賽結果之影響:以UBA為例
The Impact Of The UBA College Basketball Recruiting Class On Game Results
作者 蔡昇哲
Tsai, Sheng-Che
貢獻者 吳文傑
Wu, Wen-Chieh 
蔡昇哲
Tsai, Sheng-Che
關鍵詞 大專男子籃球聯賽
球員招募
球員效率評級
迴歸模型
UBA
Recruiting Class
College Basketball
Player Efficiency Rating
日期 2024
上傳時間 4-Sep-2024 15:07:43 (UTC+8)
摘要 本研究旨在探討中華民國大專男子籃球一級聯賽(UBA)中球隊招募對比賽結果之影響。本研究分析了過去四年裡(109至112學年)連續進入全國前八強的五支一級強權球隊的比賽數據。為比較各隊招募狀況,本研究採用基於球員效率評分(PER)的公式為當屆高中生球員評分並授與對應的星等評級,以進一步通過累加所招募新生球員的星等的方式來表示UBA各隊的招募狀況。基於計算結果,利用迴歸分析及面板數據分析檢驗招募的新生球員以及其他因子對該賽季比賽結果(球隊最終得分和比賽淨勝分)的影響。 研究結果顯示,球隊所招募的本土新生球員隊比賽結果有顯著影響,而招募的外籍新生球員對比賽結果帶來的效果較不顯著。其中,本土新生球員得分對球隊總得分和比賽勝分差皆產生了顯著的正面影響,而學校的本土招募評分則是對球隊總得分和比賽勝分差產生了負面影響。此研究結果可以幫助學校的招募團隊進一步思考如何配置並最大化招募資源,為球隊爭取更佳戰績。
The study aim to investigate the impact of the UBA college basketball recruiting class on game results. The study analyzed data from five powerhouses, which consecutively made it to the national final eight these years, in the University Basketball Association (or UBA, governing body for collegiate athletics in Taiwan) Division One Men’s College Basketball over four seasons (109 to 112 academic year). For analysis, a Player Efficiency Ratings (PER)-based formula was implemented to give each high school player their overall rankings, to further examine an UBA team’s recruiting status by adding up the rankings of freshman players recruited. Based on the ranking results, OLS regression analysis and panel data analysis, a fixed effect regression model, were implemented to test the impact of the recruiting class on game results (final score and the point differential of each game) throughout the seasons, along with other factors affecting the final game result, such as rebounds, assists, and other basic game statistics. The results showed that there was a significant effect on a team’s game performance based on the team’s recruiting status as well as the points scored by the recruited freshman players, particularly for local players. Unexpectedly, recruiting higher-ranking local players has been found to negatively impact the team's overall scoring and net point differential in games, while the scoring from local freshman players positively influences the team's overall scoring and net point differential in games.
參考文獻 Borghesi, R. (2015). The Financial and Competitive Value of NCAA Basketball Recruits. Retrieved February 28, 2020 Caro, C. A. (2012). College Football Success: The Relationship between Recruiting and Winning. International Journal of Sports Science & Coaching, 7(1), 139–152. https://doi.org/10.1260/1747-9541.7.1.139 ESPN Basketball Recruiting - Player Rankings. (2007). Retrieved March 23, 2020, from http://www.espn.com/collegesports/basketball/recruiting/playerrankings/_/class/2007/ord er/true ESPN Basketball Recruiting - Player Rankings. (2018) Retrieved February 13, 2020, from http://www.espn.com/collegesports/basketball/recruiting/playerrankings/_/class/2018/order/true ESPN. (2021). College Basketball Top 100 [Player Recruiting Rankings from 2013 to 2019] . Retrieved from http://www.espn.com/college-sports/basketball/recruiting/playerrankings Evans, B., & Pitts, J. (2017). The determinants of NCAA basketball recruiting outcomes. Applied Economics Letters, 24(5), 351-354. Grading Scale. (2006, October 26). Retrieved February 13, 2020, from https://www.espn.com/college-sports/recruiting/basketball/mens/news/story?id=2639514 Langelett, G. (2003). The Relationship between Recruiting and Team Performance in Division 1A College Football. Journal of Sports Economics, 4(3), 240–245. Treme, J., Burrus, R., and Sherrick, B. (2011). "The Impact of Recruiting on NCAA Basketball Success." Applied Economics Letters 18: 795–798. doi:10.1080/13504851.2010.507171. Treme, J., Burrus, R. (2015). NCAA basketball: when does recruiting talent translate into wins for power conferences?. J Econ Finan 40, 735–753 (2016). Conrad, C. (2020). Understanding NCAA Basketball, College Recruitment, and Factors that Influence College Decisions for Basketball Student-Athletes Carol E. J. (1993). The Relationship of a Basketball Efficiency Rating System to Game Outcome US Department of Education. (2021). EADA [Men’s College Recruiting Expenditures from 2013-2019 & School Populations]. Retrieved from https://ope.ed.gov/athletics/#/ Summary of NCAA Regulations - NCAA Division I, http://fs.ncaa.org/Docs/AMA/compliance_forms/DI/DI%20Summary%20of%20NCAA%20Regulations.pdf
描述 碩士
國立政治大學
應用經濟與社會發展英語碩士學位學程(IMES)
111266006
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0111266006
資料類型 thesis
dc.contributor.advisor 吳文傑zh_TW
dc.contributor.advisor Wu, Wen-Chieh en_US
dc.contributor.author (Authors) 蔡昇哲zh_TW
dc.contributor.author (Authors) Tsai, Sheng-Cheen_US
dc.creator (作者) 蔡昇哲zh_TW
dc.creator (作者) Tsai, Sheng-Cheen_US
dc.date (日期) 2024en_US
dc.date.accessioned 4-Sep-2024 15:07:43 (UTC+8)-
dc.date.available 4-Sep-2024 15:07:43 (UTC+8)-
dc.date.issued (上傳時間) 4-Sep-2024 15:07:43 (UTC+8)-
dc.identifier (Other Identifiers) G0111266006en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/153413-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 應用經濟與社會發展英語碩士學位學程(IMES)zh_TW
dc.description (描述) 111266006zh_TW
dc.description.abstract (摘要) 本研究旨在探討中華民國大專男子籃球一級聯賽(UBA)中球隊招募對比賽結果之影響。本研究分析了過去四年裡(109至112學年)連續進入全國前八強的五支一級強權球隊的比賽數據。為比較各隊招募狀況,本研究採用基於球員效率評分(PER)的公式為當屆高中生球員評分並授與對應的星等評級,以進一步通過累加所招募新生球員的星等的方式來表示UBA各隊的招募狀況。基於計算結果,利用迴歸分析及面板數據分析檢驗招募的新生球員以及其他因子對該賽季比賽結果(球隊最終得分和比賽淨勝分)的影響。 研究結果顯示,球隊所招募的本土新生球員隊比賽結果有顯著影響,而招募的外籍新生球員對比賽結果帶來的效果較不顯著。其中,本土新生球員得分對球隊總得分和比賽勝分差皆產生了顯著的正面影響,而學校的本土招募評分則是對球隊總得分和比賽勝分差產生了負面影響。此研究結果可以幫助學校的招募團隊進一步思考如何配置並最大化招募資源,為球隊爭取更佳戰績。zh_TW
dc.description.abstract (摘要) The study aim to investigate the impact of the UBA college basketball recruiting class on game results. The study analyzed data from five powerhouses, which consecutively made it to the national final eight these years, in the University Basketball Association (or UBA, governing body for collegiate athletics in Taiwan) Division One Men’s College Basketball over four seasons (109 to 112 academic year). For analysis, a Player Efficiency Ratings (PER)-based formula was implemented to give each high school player their overall rankings, to further examine an UBA team’s recruiting status by adding up the rankings of freshman players recruited. Based on the ranking results, OLS regression analysis and panel data analysis, a fixed effect regression model, were implemented to test the impact of the recruiting class on game results (final score and the point differential of each game) throughout the seasons, along with other factors affecting the final game result, such as rebounds, assists, and other basic game statistics. The results showed that there was a significant effect on a team’s game performance based on the team’s recruiting status as well as the points scored by the recruited freshman players, particularly for local players. Unexpectedly, recruiting higher-ranking local players has been found to negatively impact the team's overall scoring and net point differential in games, while the scoring from local freshman players positively influences the team's overall scoring and net point differential in games.en_US
dc.description.tableofcontents Abstract 1. Introduction 1.1 Background 6 1.2 Purpose of Study 7 1.3 Significance 9 1.4 Limitations 10 1.5 Framework 10 2. Literature Review 2.1 College Basketball and Football Recruitment 13 2.2 Player Evaluation and Ranking Systems 15 3. Methodology 3.1 Development of Testable Hypotheses 17 3.2 Research Design 19 3.3 Sample 20 3.4 Instrumentation 21 3.5 Source 21 3.6 Data Management and Analysis 22 3.7 Model Specification 26 4. Results 4.1 Sample Specification 31 4.2 The Relationship Between Recruiting Class Scoring Status And Team Scoring Status 36 4.1.1 Ordinary Least Squares (OLS) Model 37 4.1.2 Fixed Effects Model (FE) 38 4.3 The Relationship Between Recruiting Status (Star Rankings) And Game Result 40 4.2.1 Ordinary Least Squares (OLS) Model 41 4.2.2 Fixed Effects Model (FE) 42 4.4 The Relationship Between Recruiting Status (PER Rankings) And Game Result 44 4.2.1 Ordinary Least Squares (OLS) Model 45 4.2.2 Fixed Effects Model (FE) 46 5. Discussion and Conclusion 5.1 Research Questions and Results 49 5.2 Limitations 50 5.3 Recommendations for Future Research 51 5.4 Conclusion 51 References 52zh_TW
dc.format.extent 4847735 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0111266006en_US
dc.subject (關鍵詞) 大專男子籃球聯賽zh_TW
dc.subject (關鍵詞) 球員招募zh_TW
dc.subject (關鍵詞) 球員效率評級zh_TW
dc.subject (關鍵詞) 迴歸模型zh_TW
dc.subject (關鍵詞) UBAen_US
dc.subject (關鍵詞) Recruiting Classen_US
dc.subject (關鍵詞) College Basketballen_US
dc.subject (關鍵詞) Player Efficiency Ratingen_US
dc.title (題名) 大學籃球員招募對比賽結果之影響:以UBA為例zh_TW
dc.title (題名) The Impact Of The UBA College Basketball Recruiting Class On Game Resultsen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) Borghesi, R. (2015). The Financial and Competitive Value of NCAA Basketball Recruits. Retrieved February 28, 2020 Caro, C. A. (2012). College Football Success: The Relationship between Recruiting and Winning. International Journal of Sports Science & Coaching, 7(1), 139–152. https://doi.org/10.1260/1747-9541.7.1.139 ESPN Basketball Recruiting - Player Rankings. (2007). Retrieved March 23, 2020, from http://www.espn.com/collegesports/basketball/recruiting/playerrankings/_/class/2007/ord er/true ESPN Basketball Recruiting - Player Rankings. (2018) Retrieved February 13, 2020, from http://www.espn.com/collegesports/basketball/recruiting/playerrankings/_/class/2018/order/true ESPN. (2021). College Basketball Top 100 [Player Recruiting Rankings from 2013 to 2019] . Retrieved from http://www.espn.com/college-sports/basketball/recruiting/playerrankings Evans, B., & Pitts, J. (2017). The determinants of NCAA basketball recruiting outcomes. Applied Economics Letters, 24(5), 351-354. Grading Scale. (2006, October 26). Retrieved February 13, 2020, from https://www.espn.com/college-sports/recruiting/basketball/mens/news/story?id=2639514 Langelett, G. (2003). The Relationship between Recruiting and Team Performance in Division 1A College Football. Journal of Sports Economics, 4(3), 240–245. Treme, J., Burrus, R., and Sherrick, B. (2011). "The Impact of Recruiting on NCAA Basketball Success." Applied Economics Letters 18: 795–798. doi:10.1080/13504851.2010.507171. Treme, J., Burrus, R. (2015). NCAA basketball: when does recruiting talent translate into wins for power conferences?. J Econ Finan 40, 735–753 (2016). Conrad, C. (2020). Understanding NCAA Basketball, College Recruitment, and Factors that Influence College Decisions for Basketball Student-Athletes Carol E. J. (1993). The Relationship of a Basketball Efficiency Rating System to Game Outcome US Department of Education. (2021). EADA [Men’s College Recruiting Expenditures from 2013-2019 & School Populations]. Retrieved from https://ope.ed.gov/athletics/#/ Summary of NCAA Regulations - NCAA Division I, http://fs.ncaa.org/Docs/AMA/compliance_forms/DI/DI%20Summary%20of%20NCAA%20Regulations.pdfzh_TW