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Temporal effects of final action on the performance of the Portuguese men’s volleyball teams

Open Access
|Aug 2019

References

  1. 1. Afonso J., Esteves F., Araújo R., Thomas L., Mesquita I. (2012) Tactical determinants of setting zone in elite men’s Volleyball. J. Sports Sci. Med., 11: 64-70.
  2. 2. Alexandru S.D., Sabin S.I. (2015) Study on the Interpretation of the Results in a Volleyball Game by Using a Specific Program of Statistics. Procedia – Soc. Behav. Sci., 180: 1357–1363. DOI: 10.1016/j.sbspro.2015.02.277.10.1016/j.sbspro.2015.02.277
  3. 3. Araújo R.M., Castro J., Marcelino R., Mesquita I.R. (2010) Relationship between the Opponent Block and the Hitter in Elite Male Volleyball. J. Quant. Anal. Sport, 6. DOI: 10.2202/1559-0410.1216.10.2202/1559-0410.1216
  4. 4. Batterham A.M., Hopkins W.G. (2006) Making Meaningful Inferences about Magnitudes. Int. J. Sports Physiol. Perform., 1: 50–57. DOI: 10.1123/ijspp.1.1.50.10.1123/ijspp.1.1.50
  5. 5. Castro J., Souza A., Mesquita I. (2011) Attack Efficacy in Volleyball: Elite Male Teams. Percept. Mot. Skills, 113: 395-408. DOI: 10.2466/05.25.PMS.113.5.395-408.10.2466/05.25.PMS.113.5.395-40822185054
  6. 6. Cohen J. (1988) Statistical power analysis for the behavioral sciences, 2nd Edition.
  7. 7. Costa G., Castro H., Evangelista B., Malheiros L., Greco P., Ugrinowitsch H. (2017) Predicting Factors of Zone 4 Attack in Volleyball. Percept. Mot. Skills, 124: 621–633. DOI: 10.1177/0031512517697070.10.1177/003151251769707028514920
  8. 8. Data Project (2014) The statistics and analysis software used by the best teams worldwide. http://www.dataproject.com/US/en/Volleyball.
  9. 9. Djamel M., Mohamed S. (2015) Level of decision making in some volleyball skills for secondary stage students. Swedish J. Sci. Res., 2: 23-29.
  10. 10. Drikos S, Kountouris P, Laios A, Laios Y (2009) Correlates of Team Performance in Volleyball. Int. J. Perform. Anal. Sport, 9: 149-156.10.1080/24748668.2009.11868472
  11. 11. Durkovic T., Marelic N., Resetar T. (2008) Influence of the position of players in rotation on differences between winning and loosing teams in volleyball. Int. J. Perform. Anal. Sport, 8: 8-15.10.1080/24748668.2008.11868431
  12. 12. Eom H.J., Schutz R.W. (1992) Statistical analyses of volleyball team performance. Res. Q. Exerc. Sport, 63: 11-18. DOI: 10.1080/02701367.1992.10607551.10.1080/02701367.1992.106075511574656
  13. 13. Hopkins W., Marshall S., Batterham A., Hanin J. (2009) Progressive statistics for studies in sports medicine and exercise science. Med. Sci. Sport Exerc., 41: 3.10.1249/MSS.0b013e31818cb278
  14. 14. Klaričić I., Grgantov Z., Jelaska I. (2018) Prediction of efficiency in elite volleyball: multiple regression approach. Acta Kinesiol., 12: 79-85.
  15. 15. Laios A., Kountouris P. (2017) Receiving and serving team efficiency in Volleyball in relation to team rotation. Int. J. Perform. Anal. Sport, 11: 553-561.10.1080/24748668.2011.11868573
  16. 16. Marcelino R., Mesquita I., Afonso J. (2008) The weight of terminal actions in Volleyball. Contributions of the spike, serve and block for the teams’ rankings in the World League 2005. Int. J. Perform. Anal. Sport, 8: 1-7. DOI: 10.1080/24748668.2008.11868430.10.1080/24748668.2008.11868430
  17. 17. Marcelino R., Mesquita I., Palao J.M., Sampaio J. (2009) Home advantage in high-level volleyball varies according to set number. J. Sport Sci. Med., 8: 352–356.
  18. 18. Marcelino R., Mesquita I., Sampaio J. (2011) Effects of quality of opposition and match status on technical and tactical performances in elite volleyball. J. Sports Sci., 29: 733-741. DOI: 10.1080/02640414.2011.552516.10.1080/02640414.2011.55251621424980
  19. 19. Marcelino R., Mesquita I., Sampaio J., Moraes J. (2010) Study of performance indicators in male volleyball according to the set results. Rev. Bras. Educ. Física e Esporte, 24: 69-78.10.1590/S1807-55092010000100007
  20. 20. Millán-Sánchez A., Morante Rábago J.C., Ureña Espa A. (2017) Differences in the success of the attack between outside and opposite hitters in high level men’s volleyball. J. Hum. Sport Exerc., 12: 251-257. DOI: 10.14198/jhse.2017.122.01.10.14198/jhse.2017.122.01
  21. 21. Monteiro R., Mesquita I., Marcelino R. (2009) Relationship between the set outcome and the dig and attack efficacy in elite male volleyball game. Int. J. Perform. Anal. Sport, 9: 294-305.10.1080/24748668.2009.11868486
  22. 22. Palao J.M., Santos J.A., Ureña A. (2004) Effect of team level on skill performance in volleyball. Int. J. Perform. Anal. Sport, 4: 50-60.10.1080/24748668.2004.11868304
  23. 23. Pena J., Rodriguez-Guerra J., Busca B., Serra N. (2013) Which skills and factors better predict winning and losing in high-level men’s volleyball? J. Strength Cond. Res., 27: 2487-2493.10.1519/JSC.0b013e31827f4dbe
  24. 24. Petroski E.L., Fidelix Y.L., Augusto D., Silva S., Rocha M.A., Oncken P., Viera F.S. (2013) Anthropometric, morpholgical and somatotype characteristics of athletes of the Brazilian Men’s Volleyball team: an 11-year descriptive study. Brazilian J. Kinanthropometry Hum. Perform., 184-193.
  25. 25. Robinson G., O’Donoghue P. (2007) A weighted kappa statistic for reliability testing in performance analysis of sport. International. J. Perform. Anal. Sport, 7: 12-19.10.1080/24748668.2007.11868383
  26. 26. Rodriguez-Ruiz D., Quiroga M., Miralles J., Sarmiento S., Saá Y., Garcia-Manso J. (2011). Study of the technical and tactical variables determining set win or loss in top-level European men’s volleyball. Int. J. Perform. Anal. Sport, 7: 1-13.10.2202/1559-0410.1281
  27. 27. Silva M., Lacerda D., João P. (2013) Match analysis of discrimination skills according to the setter attack zone position in high level volleyball. Int. J. Perform. Anal. Sport, 13: 367-379.10.1080/24748668.2013.11868661
  28. 28. Silva M., Lacerda D., João P.V. (2014) Game-related volleyball skills that influence victory. J. Hum. Kinet., 41: 173-179. DOI: 10.2478/hukin-2014-0045.10.2478/hukin-2014-0045412045125114744
  29. 29. Silva M., Marcelino R., Lacerda D., João P.V. (2016) Match Analysis in Volleyball : a systematic review. Int. J. Perform. Anal. Sport, 5: 35-46.
  30. 30. Stutzig N., Zimmermann B., Büsch D., Siebert T. (2017) Analysis of game variables to predict scoring and performance levels in elite men’s volleyball Analysis of game variables to predict scoring and performance levels in elite men’s volleyball. Int. J. Perform. Anal. Sport, 15: 816-829. DOI: 10.1080/24748668.2015.11868833.10.1080/24748668.2015.11868833
  31. 31. Valhondo Á., Fernández-Echeverría C., González-silva J., Claver F., Moreno M.P. (2018) Variables that predict serve efficacy in elite men’s volleyball with different quality of opposition sets. J. Hum. Kinet., 61: 167-177. DOI: 10.1515/hukin-2017-0119.10.1515/hukin-2017-0119587334629599869
  32. 32. Zetou E., Moustakidis A., Tsigilis N., Komninakidou A. (2007) Does Effectiveness of Skill in Complex I Predict Win in Men’s Olympic Volleyball Games? J. Quant. Anal. Sport, 3. DOI: 10.2202/1559-0410.1076.10.2202/1559-0410.1076
Language: English
Page range: 121 - 130
Submitted on: Mar 22, 2019
Accepted on: Aug 14, 2019
Published on: Aug 23, 2019
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2019 Ricardo Lima, Ana Filipa Silva, Filipe Manuel Clemente, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.