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Prof. Paul Sudnik

Munich University of Applied Sciences, Germany

As the Editor-in-Chief of IJSSH, I invite you to contribute your scholarly work to our esteemed publication. The journal publishes papers which focus on the advanced researches in the field of all aspects of social science and humanity. I'll endeavour to make this journal grow better and hopefully it will become a recognized journal among researchers and scholars in related fields.

Home > Archive > 2025 > Volume 15, Number 1, 2025
IJSSH 2025 Vol.15(1): 7-15
doi: 10.18178/ijssh.2025.15.1.1235

Evolving Determinants of NBA All-Star Selection: A Dynamic Statistical Analysis

Haoyu Fan
King’s College London, London, The United Kingdom of Great Britain and Northern Ireland
Email: 1460216547@qq.com

Manuscript received September 9, 2024; revised October 23, 2024; accepted November 6, 2024; published January 20, 2025.

Abstract—The All-Star Game in the NBA has observed an upward trajectory in popularity over the years. Notably, while several studies have examined the on-court performance metrics like shooting percentage, turnovers, rebounds, and the like as determinants for inclusion in this prestigious game, a limited body of research has addressed the more intricate dynamics of a player’s relationship with the All-Star game eligibility. Through comprehensive descriptive analysis and logistic regression methodologies, this study embarks on exploring the variables that might elucidate this relationship. The findings indicate a positive and statistically significant correlation between certain metrics such as age, rebounds, assists, and scoring with All-Star selection across various time periods. However, it is intriguing to note that variables like steals, points, dunks, and turnovers demonstrated fluctuating strengths in their relationship with All-Star inclusions as time evolved. These results underscore the evolving criteria and possibly the shifting priorities or changes in the gameplay strategy that influence All-Star selections. Such insights can potentially offer a refined understanding of selection benchmarks, thus aiding the NBA and relevant stakeholders in future All-Star selection processes. It also provides a foundation for future research to delve deeper into the evolving metrics of the game and how they correlate with the accolades and recognitions within the professional basketball sphere.

Keywords—logistic regression, NBA All-Star Game, on-court performance metrics, player eligibility

Cite: Haoyu Fan, "Evolving Determinants of NBA All-Star Selection: A Dynamic Statistical Analysis," International Journal of Social Science and Humanity, vol. 15, no. 1, pp. 7-15, 2025.

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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