Proceedings of the 12th International Conference on Kinanthropology. Sport and Quality of Life. 7. – 9. 11. 2019Kapitola
Decision making of semi-professional female basketball players in competitive gamesRok vydání: 2020
Purpose: Nowadays, not only the research but also coaching is focusing on decision making in basketball. Decision making is critical in basketball, especially in relation to offensive skills (with ball). Generally, the players have to decide what to do with the ball (make an appro-priate decision) and in the shortest time possible. From this point of view, the study aims to identify the factors which can affect the decision making of offensive skills of female basket-ball players.<br />Methods: Eight semi-professional female basketball players participated in this study. Basket-ball players played five competitive games in the second division. During all games, the heart rate was monitored. Decision making was assessed according to Basketball Offensive Game Performance Instrument (BOGPI) and categorized as appropriate and inappropriate. For this purpose, the notational analysis was used. Based on previous research, the four main factors were set as independent variables. Each of these factors was categorized. The first factor was the intensity of load ( 95% of HR ), second factor was ball possession duration (0–8 s, 9–16 s, and 17–24 s), third factor was game period (1st quarter, 2nd quarter, 3rd quarter, and 4th quarter), and the fourth factor was defensive pressure of an opponent (low, moderate, and high). Objectivity was verified by the method of inter-rater agreement, and re-liability was using intra-rater agreement. The influence of factors on decision making was ex-pressed by binary logistic regression. Method of backward stepwise selection was used to find predictors of inappropriate decisions and to find the best model.<br />Results: One regression coeficient in the final model was statistically significant – defensive pressure of the opponent. When the defensive pressure is moderate or high, the chance for inappropriate decisions increased.<br />Conclusion: Based on these findings, the coaches should take into consideration these fac-tors when preparing individual training sessions.
basketball; decision making; logistic regression; offensive skills
Álvarez, A., Ortega Toro, E., Salado, J., & Gómez, M. Á. (2009). Study of the defensive performance indicators in peak performance basketball. Revista de Psicología del Deporte, 18, 0379–0384.
Csataljay, G., James, N., Hughes, M., & Dancs, H. (2012). Performance differences between winning and losing basketball teams during close, balanced and unbalanced quarters. Journal of Human Sport and Exercise, 7(2), 356–364. https://doi.org/10.4100/jhse.2012.72.02
Csataljay, G., James, N., Hughes, M., & Dancs, H. (2013). Effects of defensive pressure on basketball shooting performance. International Journal of Performance Analysis in Sport, 13(3), 594–601. https://doi.org/10.1080/24748668.2013.11868673
French, K. E., & Thomas, J. R. (1987). The Relation of Knowledge Development to Children’s Basketball Performance. Journal of Sport Psychology, 9(1), 15. https://doi.org/10.1123/jsp.9.1.15
Gómez, M. Á., Lorenzo, A., Sampaio, J., Ibáñez, S. J., & Ortega, E. (2008). Game-Related Statistics that Discriminated Winning and Losing Teams from the Spanish Men’s Professional Basketball Teams. Collegium Antropologicum, 32(2), 451–456.
Gómez, M., Alarcón, F., & Ortega, E. (2015). Analysis of shooting effectiveness in elite basketball according to match status. Revista de Psicologia del Deporte, 24(3), 37–41.
Hughes, M., & Franks, I. M. (Ed.). (2015). Essentials of performance analysis in sport (Second edition). New York: Routledge. https://doi.org/10.4324/9781315776743
Chen, W., Hendricks, K., & Zhu, W. (2013). Development and Validation of the Basketball Offensive Game Performance Instrument. Journal of Teaching in Physical Education, 32(1), 100–109. https://doi.org/10.1123/jtpe.32.1.100
Klusemann, M. J., Pyne, D. B., Foster, C., & Drinkwater, E. J. (2012). Optimising technical skills and physical loading in small-sided basketball games. Journal of Sports Sciences, 30(14), 1463–1471. https://doi.org/10.1080/02640414.2012.712714
Landau, S., & Everitt, B. (2004). A handbook of statistical analyses using SPSS. Boca Raton: Chapman & Hall/CRC. https://doi.org/10.1201/9780203009765
Lorenzo, A., Gómez, M. Á., Ortega, E., Ibáñez, S. J., & Sampaio, J. (2010). Game related statistics which discriminate between winning and losing under-16 male basketball games. Journal of Sports Science & Medicine, 9(4), 664–668.
Malek, M. H., Coburn, J. W., & Marelich, W. D. (2018). Advanced statistics for kinesiology and exercise science: a practical guide to ANOVA and regression analyses. Milton Park, Abingdon : New York, NY: Routledge. https://doi.org/10.4324/9781315231273
Memmert, D., & Harvey, S. (2008). The Game Performance Assessment Instrument (GPAI): Some Concerns and Solutions for Further Development. Journal of Teaching in Physical Education, 27(2), 220–240. https://doi.org/10.1123/jtpe.27.2.220
Montgomery, P. G., Pyne, D. B., & Minahan, C. L. (2010). The Physical and Physiological Demands of Basketball Training and Competition. International Journal of Sports Physiology & Performance, 5(1), 75–86. https://doi.org/10.1123/ijspp.5.1.75
O’Donoghue, P. (Ed.). (2012). Statistics for sport and exercise studies: an introduction. New York: Routledge. https://doi.org/10.4324/9780203133507
O’Donoghue, P. (2015). An introduction to performance analysis of sport. New York: Routledge.
Oslin, J. L., Mitchell, S. A., & Griffin, L. L. (1998). The Game Performance Assessment Instrument (GPAI): Development and Preliminary Validation. Journal of Teaching in Physical Education, 17(2), 231. https://doi.org/10.1123/jtpe.17.2.231
Parejo, I., García, Á., Antúnez, A., & Ibáñez, S. J. (2013). Differences in performance indicators among winners and losers of group a of the spanish basketball amateur league (EBA). Revista de Psicología del Deporte, 22(1), 257–261.
Psotta, R., & Martin, A. (2011). Changes in Decision Making Skill and Skill Execution in Soccer Performance: The Intervention Study. Acta Universitatis Palackianae Olomucensis. Gymnica, 41(2), 7. https://doi.org/10.5507/ag.2011.008
Refoyo, I. R., Sampedro, J. M., & Sillero, M. Q. (2009). The relationship between exercise intensity and performance in drills aimed at improving the proficiency, technical and tactical skills of basketball players. Revista Internacional de Ciencias del Deporte, 5(14), 1–10. https://doi.org/10.5232/ricyde2009.01401
Sampaio, J., Drinkwater, E. J., & Leite, N. M. (2010). Effects of season period, team quality, and playing time on basketball players’ game-related statistics. European Journal of Sport Science, 10(2), 141–149. https://doi.org/10.1080/17461390903311935
Sampaio, J., Lago, C., Casais, L., & Leite, N. (2010). Effects of starting score-line, game location, and quality of opposition in basketball quarter score. European Journal of Sport Science, 10(6), 391–396. https://doi.org/10.1080/17461391003699104
Schmidt, R. A., & Wrisberg, C. A. (2004). Motor learning and performance (3rd edition). Champaign, IL: Human Kinetics.
Vaquera, A., García-Tormo, J. V., Ruano, M. A. G., & Morante, J. C. (2016). An exploration of ball screen effectiveness on elite basketball teams. International Journal of Performance Analysis in Sport, 16(2), 475–485. https://doi.org/10.1080/24748668.2016.11868902
Vaquera, Alejandro, Cubillo, R., García-Tormo, J. V., & Morante, J. C. (2013). Validation of a tactical analysis methodology for the study of pick and roll in basketball. Revista de Psicología del Deporte, 22, 277–281.
Vencurik, T., & Nykodym, J. (2017). Selected factors influencing the successfulness of shooting in women’s basketball. In M. Dragan, G. Sporiš, S. Šalaj, & D. Škegro (Ed.), 8th International Scientific Conference on Kinesiology, 428–431. Opatija, Croatia: University of Zagreb, Faculty of Kinesiology.