[
1. Lennemann L., Sidrow K., Johnson E., Harrison C., Vojta C., Walker T. (2013). The influence of agility training on physiological and cognitive performance. Journal of Strength and Conditioning Research 27(12), 3300-3309. DOI: 10.1519/JSC.0b013e31828ddf0610.1519/JSC.0b013e31828ddf0623442271
]Search in Google Scholar
[
2. Mendez-Villanueva A., Bishop D. (2005). Physiological aspects of surfboard riding performance. Sports Medicine 35(1), 55-70. DOI: 10.2165/00007256-200535010-0000510.2165/00007256-200535010-0000515651913
]Search in Google Scholar
[
3. Pramod R., Divya K. (2019). The effects of ladder training on speed of Egyptian high school boys student’s in Qatar. International Journal of Physical Education, Sports and Health 6(1), 18-22. DOI: 10.13140/RG.2.2.15776.64000
]Search in Google Scholar
[
4. Yoshimura M., Umemura Y. (2016). Comparison of factors related to jump performance in volleyball players and swimmers. Journal of Exercise Physiology 19, 53-66.
]Search in Google Scholar
[
5. Reigal R.E., Barrero S., Martín I., Morales-Sánchez V., Juárez-Ruiz de Mier R., Hernández-Mendo A. (2019). Relationships between reaction time, selective attention, physical activity, and physical fitness in children. Frontiers in Psychology 10, 1-8. DOI: 10.3389/fpsyg.2019.0227810.3389/fpsyg.2019.02278680353731681086
]Search in Google Scholar
[
6. Rigoli M., Facchin A., Cardile D., Beschin N., Luzzatti C. (2020). Open-source open-access reaction time test (OORTT): an easy tool to assess reaction times. Neurological Sciences 23 Oct. DOI: 10.1007/s10072-020-04839-y10.1007/s10072-020-04839-y33095365
]Search in Google Scholar
[
7. Rauter S., Coh M., Vodicar J., Zvan M., Krizaj et al. (2018). Analysis of reactive agility and change-of-direction speed between soccer players and physical education students. Human Movement 19(2), 68-74. DOI: 10.5114/hm.2018.7406110.5114/hm.2018.74061
]Search in Google Scholar
[
8. Šimonek J., Horička P., Hianik J. (2017). The differences in acceleration, maximal speed and agility between soccer, basketball, volleyball and handball players. Journal of Human Sport and Exercise 12(1), 73-82. DOI: 10.14198/jhse.2017.121.0610.14198/jhse.2017.121.06
]Search in Google Scholar
[
9. Sheppard J., Young W. (2006). Agility literature review: Classifications, training and testing. Journal of Sports Sciences 24(9), 919-932. DOI: 10.1080/0264041050045710910.1080/0264041050045710916882626
]Search in Google Scholar
[
10. Laessoe U., Grarup B., Bangshaab J. (2016). The use of cognitive cues for anticipatory strategies in a dynamic postural control task – Validation of a novel approach to dual-task testing. PLoS ONE 11, 1-12. DOI: 10.1371/journal.pone.015742110.1371/journal.pone.0157421497239227487000
]Search in Google Scholar
[
11. Sheppard J.M., Dawes J., Jeffreys I., Spiteri T., Nimphius S. (2014). Broadening the view of agility: A scientific review of the literature. Journal of Australian Strength & Conditioning 22(3), 6-25.
]Search in Google Scholar
[
12. Mroczek D. (2007). Changes in psychomotor reactions and the activity of certain physiological indices of volleyball players. Studies in Physical Culture and Tourism 14, 271-277.
]Search in Google Scholar
[
13. Günay A.R., Ceylan H.I., Çolakoğolu F.F., Saygın Ö. (2019). Comparison of coinciding anticipation timing and reaction time performances of adolescent female volleyball players in different playing positions. The Sport Journal 36, 1-12.
]Search in Google Scholar
[
14. Koestanto S.H., Setijino H., Mintarto E. (2017). Model comparison exercise circuit training game and circuit ladder drills to improve agility and speed. Journal of Physical Education, Health and Sport 4(2), 78-83.
]Search in Google Scholar
[
15. Yildizer G., Ozboke C., Tascioglu R., Yilmaz I. (2017). Examining attitudes of physical education teacher education program students toward the teaching profession. Montenegrin Journal of Sports Science and Medicine 6(2), 27-33. DOI: 10.26773/mjssm.2017.09.00410.26773/mjssm.2017.09.004
]Search in Google Scholar
[
16. Shelly Z., Stewart E., Fonville T., Burch R.F.V., Chander H. et al. (2019). Helmet prototype response time assessment using NCAA division 1 collegiate football athletes. International Journal of Kinesiology and Sports Science 7(4), 53-65. DOI: 10.7575/aiac.ijkss.v.7n.4p.5310.7575/aiac.ijkss.v.7n.4p.53
]Search in Google Scholar
[
17. Čoh M., Vodičar J., Žvan M., Šimenko J., Stodolka J. et al. (2018). Are change-of-direction speed and reactive agility independent skills even when using the same movement pattern? Journal of Strength and Conditioning Research 32(7), 1929-1936. DOI: 10.1519/JSC.000000000000255310.1519/JSC.000000000000255329570572
]Search in Google Scholar
[
18. Meller F.O., Loret de Mola C., Assunção M.C.F., Schäfer A.A., Dahly D.L., Barros F.C. (2018). Birth order and number of siblings and their association with overweight and obesity: a systematic review and meta-analysis. Nutrition Reviews 76(2), 117-124. DOI: 10.1093/nutrit/nux06010.1093/nutrit/nux06029315408
]Search in Google Scholar
[
19. Örs B.S., Cantas F., Onarici E., Simsek D. (2019). Assessment and comparison of visual skills among athletes. Spor ve Performans Araştırmaları Dergisi 10(3), 231-241. DOI: 10.17155/omuspd.52234210.17155/omuspd.522342
]Search in Google Scholar
[
20. Verschueren J., Tassignon B., Pluym B., Van Cutsem J., Ver-hagen E., Meeusen R. (2019). Bringing context to balance: development of a reactive balance test within the injury prevention and return to sport domain. Archives of Physiotherapy 9(1), 1-8. DOI: 10.1186/s40945-019-0057-410.1186/s40945-019-0057-4646909731019737
]Search in Google Scholar
[
21. Yıldırım Y., Kızılet A. (2020). The effect of different learning method on the visual reaction time of hand and leg in high school level tennis trainees. Journal of Educational Issues 6(2), 414. DOI: 10.5296/jei.v6i2.1797010.5296/jei.v6i2.17970
]Search in Google Scholar
[
22. Kida N., Oda S., Matsumura M. (2005). Intensive baseball practice improves the Go/Nogo reaction time, but not the simple reaction time. Cognitive Brain Research 22(2), 257-264. DOI: 10.1016/j.cogbrainres.2004.09.00310.1016/j.cogbrainres.2004.09.00315653298
]Search in Google Scholar
[
23. Van De Water T., Huijgen B., Faber I., Elferink-Gemser M. (2017). Assessing cognitive performance in badminton players: A reproducibility and validity study. Journal of Human Kinetics 55, 149-159. DOI: 10.1515/hukin-2017-001410.1515/hukin-2017-0014530428328210347
]Search in Google Scholar
[
24. Koo T.K., Li M.Y. (2016). A guideline of selecting and reporting intraclass correlation coefficients for reliability research. Journal of Chiropractic Medicine 15(2), 155-163. DOI: 10.1016/j.jcm.2016.02.01210.1016/j.jcm.2016.02.012491311827330520
]Search in Google Scholar
[
25. Melchiorri G., Viero V., Triossi T., Annino G., Padua E., Tancredi V. (2017). Anthropometric and performance measures to study talent detection in youth volleyball. The Journal of Sports Medicine and Physical Fitness 57(12), 1623-1632. DOI: 10.23736/s0022-4707.17.07068-210.23736/S0022-4707.17.07068-228222582
]Search in Google Scholar
[
26. Schmidt R.C., O’Brien B., Sysko R. (1999). Self-organization of between-persons cooperative tasks and possible application to sport. International Journal of Sport Psychology 30(4), 558-579.
]Search in Google Scholar
[
27. Duarte R., Araújo D., Correia V., Davids K. (2012). Sports teams as superorganisms: Implications of sociobiological models of behaviour for research and practice in team sports performance analysis. Sports Medicine 42(8), 633-642. DOI: 10.2165/11632450-000000000-0000010.2165/11632450-000000000-0000022715927
]Search in Google Scholar
[
28. McGarry T., Anderson D.I., Wallace S.A., Hughes M.D., Franks I.M. (2002). Sport competition as a dynamical self-organizing system. Journal of Sports Sciences 20(10), 771-781. DOI: 10.1080/02640410232067562010.1080/02640410232067562012363294
]Search in Google Scholar
[
29. Fotia J. (2016). Praxiología motriz: lógica interna, sistema y estructura como herramienta de análisis en los deportes de cooperación y oposición. Adrián Ferreira (Comp.)” Pensando La Educación Física Como Área de Conocimiento”. Buenos Aires: Miño y Dávila, p 11-362.
]Search in Google Scholar
[
30. Forthomme B., Croisier J.L., Ciccarone G., Crielaard J.M., Cloes M. (2005). Factors correlated with volleyball spike velocity. The American Journal of Sports Medicine 33(10), 1513-1519. DOI: 10.1177/036354650527493510.1177/036354650527493516009986
]Search in Google Scholar
[
31. Fuchs P.X., Fusco A., Bell J.W., von Duvillard S.P., Cortis C., Wagner H. (2019). Movement characteristics of volleyball spike jump performance in females. Journal of Science and Medicine in Sport 22(7), 833-837. DOI: 10.1016/j. jsams.2019.01.002
]Search in Google Scholar
[
32. Popowczak M., Domaradzki J., Rokita A., Zwierko M., Zwierko T. (2020). Predicting visual-motor performance in a reactive agility task from selected demographic, training, anthropometric, and functional variables in adolescents. International Journal of Environmental Research and Public Health 17(15). DOI: 10.3390/ijerph1715532210.3390/ijerph17155322743233532722036
]Search in Google Scholar
[
33. Schollhorn W. (2003). Coordination dynamics and its consequences on sports. International Journal of Computer Science in Sport 2(2), 40-46.
]Search in Google Scholar
[
34. Santos S., Jiménez S., Sampaio J., Leite N. (2017). Effects of the Skills4Genius sports-based training program in creative behavior. PLOS ONE 12, e0172520. DOI: 10.1371/journal. pone.0172520
]Search in Google Scholar
[
35. Santos S., Coutinho D., Gonçalves B., Schöllhorn W., Sampaio J., Leite N. (2018). Differential learning as a key training approach to improve creative and tactical behavior in soccer. Research Quarterly for Exercise and Sport 89(1), 11-24. DOI: 10.1080/02701367.2017.141206310.1080/02701367.2017.141206329351500
]Search in Google Scholar
[
36. Ryu D., Abernethy B., Mann D.L., Poolton J.M., Gorman A.D. (2013). The role of central and peripheral vision in expert decision making. Perception 42(6), 591-607. DOI: 10.1068/p748710.1068/p748724422243
]Search in Google Scholar
[
37. Ryu D., Abernethy B., Mann D.L., Poolton J.M. (2015). The contributions of central and peripheral vision to expertise in basketball: How blur helps to provide a clearer picture. Journal of Experimental Psychology: Human Perception and Performance 41(1), 167-185. DOI: 10.1037/a003830610.1037/a003830625485663
]Search in Google Scholar
[
38. Piras A., Vickers J.N. (2011). The effect of fixation transitions on quiet eye duration and performance in the soccer penalty kick: instep versus inside kicks. Cognitive Processing 12, 245-255. DOI: 10.1007/s10339-011-0406-z10.1007/s10339-011-0406-z21544570
]Search in Google Scholar
[
39. Vater C., Luginbühl S., Magnaguagno L. (2019). Testing the functionality of peripheral vision in a mixed-methods football field study. Journal of Sports Sciences 37, 2789-2797. DOI: 10.1080/02640414.2019.166410010.1080/02640414.2019.166410031631809
]Search in Google Scholar
[
40. Zhang X., Yan M., Yangang L. (2009). Differential performance of Chinese volleyball athletes and nonathletes on a multiple-object tracking task. Perceptual and Motor Skills 109, 747-756. DOI: 10.2466/pms.109.3.747-75610.2466/pms.109.3.747-75620178275
]Search in Google Scholar
