A valid and reliable test of technical skill for vision impaired football

References

• Ali A. 2011. Measuring soccer skill performance: a review. Scand J Med Sci Sports. 21(2):170–183. doi:https://doi.org/10.1111/j.1600-0838.2010.01256.x.
   Google Scholar
• Ali A, Williams C, Hulse M, Strudwick A, Reddin J, Howarth L, Eldred J, Hirst M, McGregor S. 2007. Reliability and validity of two tests of soccer skill. J Sports Sci. 25(13):1461–1470. doi:https://doi.org/10.1080/02640410601150470.
   Google Scholar
• Allen PM, Latham K, Mann DL, Ravensbergen RHJC, Myint J. 2016. The level of vision necessary for competitive performance in rifle shooting: setting the standards for paralympic shooting with vision impairment. Front Psychol. 7(NOV). doi:https://doi.org/10.3389/fpsyg.2016.01731.
   Google Scholar
• Allen PM, Latham K, Ravensbergen RHJC, Myint J, Mann DL. 2019. Rifle shooting for athletes with vision impairment: does one class fit all? Front Psychol. 10. doi:https://doi.org/10.3389/fpsyg.2019.01727.
   Google Scholar
• Allen PM, Ravensbergen RHJC, Latham K, Rose A, Myint J, Mann DL. 2018. Contrast sensitivity is a significant predictor of performance in rifle shooting for athletes with vision impairment. Front Psychol. 9(JUN). doi:https://doi.org/10.3389/fpsyg.2018.00950.
   Google Scholar
• Beckman EM, Newcombe P, Vanlandewijck Y, Connick MJ, Tweedy SM. 2014. Novel strength test battery to permit evidence-based paralympic classification. Med. 93:4. doi:https://doi.org/10.1097/MD.0000000000000031
   Google Scholar
• Bland JM, Altman DG. 1999. Measuring agreement in method comparison studies. Statistical Methods Med Res. 8(2):135–160. doi:https://doi.org/10.1177/096228029900800204.
   Google Scholar
• Conte D, Smith MR, Santolamazza F, Favero TG, Tessitore A, Coutts A. 2019. Reliability, usefulness and construct validity of the combined basketball skill test (CBST). J Sports Sci. 37(11):1205–1211. doi:https://doi.org/10.1080/02640414.2018.1551046.
   Google Scholar
• Currell K, Jeukendrup AE. 2008. Validity, reliability and sensitivity of measures of sporting performance. Sports Med. 38:297–316. doi:https://doi.org/10.2165/00007256-200838040-00003
   Google Scholar
• Evans JD. 1996. Straightforward statistics for the behavioral sciences. In: Straightforward statistics for the behavioral sciences. Thomson Brooks/Cole Publishing Co, Pacific Grove, Calif.
   Google Scholar
• Farhani F, Rajabi H, Negaresh R, Ali A, Amani Shalamzari S, Baker JS. 2019. Reliability and validity of a novel futsal special performance test designed to measure skills and anaerobic performance. Int J Sports Physiol Perform. 14(8):1096–1102. doi:https://doi.org/10.1123/ijspp.2018-0850.
   Google Scholar
• Girden E (1992). ANOVA. https://doi.org/10.4135/9781412983419
   Google Scholar
• International Paralympic Committee. (2015). IPC Athlete Classification Code: Rules, Policies and Procedures for Athlete Classification.
   Google Scholar
• International Paralympic Committee. (2016). International standard for athlete evaluation.
   Google Scholar
• Krabben KJ, Ravensbergen RHJC, Nakamoto H, Mann DL. 2019. The development of evidence-based classification of vision impairment in judo: A delphi study. Front Psychol. 10(FEB). doi:https://doi.org/10.3389/fpsyg.2019.00098.
   Google Scholar
• Krabben KJ, van der Kamp J, Mann DL. 2018. Fight without sight: the contribution of vision to judo performance. Psychol Sport Exerc. 37:157–163. doi:https://doi.org/10.1016/j.psychsport.2017.08.004
   Google Scholar
• Mann DL, Ravensbergen HJC. 2018. International paralympic committee (IPC) and international blind sports federation (IBSA) joint position stand on the sport-specific classification of athletes with vision impairment. Sports Med. 48(9):2011–2023. doi:https://doi.org/10.1007/s40279-018-0949-6.
   Google Scholar
• McLaughlin MJ, Sainani KL. 2014. Bonferroni, holm, and Hochberg corrections: fun names, serious changes to P values. PMR. doi:https://doi.org/10.1016/j.pmrj.2014.04.006
   Google Scholar
• Mungovan SF, Peralta PJ, Gass GC, Scanlan AT. 2018. The test–retest reliability and criterion validity of a high-intensity, netball-specific circuit test: the net-test. J Sci Med Sport. 21(12):1268–1273.
   Google Scholar
• Myint J, Latham K, Mann D, Gomersall P, Wilkins AJ, Allen PM. 2016. The relationship between visual function and performance in rifle shooting for athletes with vision impairment. BMJ Open Sport Exerc Med. 2(1):e000080. doi:https://doi.org/10.1136/bmjsem-2015-000080.
   Google Scholar
• Pastor D, Campayo-Piernas M, Pastor JT, Reina R. 2019. A mathematical model for decision-making in the classification of para-footballers with different severity of coordination impairments. J Sports Sci. 37(12):1403–1410. doi:https://doi.org/10.1080/02640414.2018.1560617.
   Google Scholar
• Rampinini E, Bishop D, Marcora SM, Ferrari Bravo D, Sassi R, Impellizzeri FM. 2007. Validity of simple field tests as indicators of match-related physical performance in top-level professional soccer players. Int J Sports Med. 28(3):228–235. doi:https://doi.org/10.1055/s-2006-924340.
   Google Scholar
• Ravensbergen HJC, Genee AD, Mann DL. 2018. Expert consensus to guide the classification of paralympic swimmers with vision impairment: A delphi study. Front Psychol. 9(OCT). doi:https://doi.org/10.3389/fpsyg.2018.01756.
   Google Scholar
• Ravensbergen HJC, Mann DL, Kamper SJ. 2016. Expert consensus statement to guide the evidence-based classification of Paralympic athletes with vision impairment: A Delphi study. Br J Sports Med. 50(7):386–391. doi:https://doi.org/10.1136/bjsports-2015-095434.
   Google Scholar
• Reina R, Iturricastillo A, Sabido R, Campayo-Piernas M, Yanci J. 2018. Vertical and horizontal jump capacity in international cerebral palsy football players. Int J Sports Physiol Perform. 13(5):597–603. doi:https://doi.org/10.1123/ijspp.2017-0321.
   Google Scholar
• Roca A, Williams AM, Ford PR. 2014. Capturing and testing perceptual-cognitive expertise: A comparison of stationary and movement response methods. Behav Res Methods. 46(1):173–177. doi:https://doi.org/10.3758/s13428-013-0359-5.
   Google Scholar
• Rösch D, Hodgson R, Peterson L, Graf-Baumann T, Junge A, Chomiak J, Dvorak J. 2000. Assessment and evaluation of football performance. Am J Sports Med. 28(5SUPPL). doi:https://doi.org/10.1177/28.suppl_5.s-29.
   Google Scholar
• Runswick OR, Ravensbergen HJC, Allen PM, Mann DL. (2021) Minor Revisions Submitted. Expert opinion on classification for footballers with vision impairment: towards evidence-based minimum impairment criteria. J Sports Sci. https://doi.org/https://doi.org/10.1080/02640414.
   Google Scholar
• Stalin A (2020). Development of sports-specific classification for paralympic skiers with visual impairment. Unpublished Doctoral Thesis. UWSpace. http://hdl.handle.net/10012/15933
   Google Scholar
• Thomas JR, Nelson JK. 2001. Research methods in physical activity. Champaign (IL): Human Kinetics.
   Google Scholar
• Tweedy SM, Beckman EM, Connick MJ. 2014. Paralympic classification: conceptual basis, current methods, and research update. PMR. 6(8SUPPL). doi:https://doi.org/10.1016/j.pmrj.2014.04.013.
   Google Scholar
• Tweedy SM, Vanlandewijck YC. 2011. International Paralympic Committee position stand-background and scientific principles of classification in Paralympic sport. British Journal of Sports Medicine Vol. 45(4):259–269. doi:https://doi.org/10.1136/bjsm.2009.065060.
   Google Scholar
• Vanderford ML, Meyers MC, Skelly WA, Stewart CC, Hamilton KL. 2004. Physiological and sport-specific skill response of Olympic youth soccer athletes. J Strength Conditioning Res. 18(2):334–342. doi:https://doi.org/10.1519/R-11922.1.
   Google Scholar
• Vanlandewijck YC, Verellen J, Beckman E, Connick M, Tweedy SM. 2011. Trunk strength effect on track wheelchair start: implications for classification. Med Sci Sports Exerc. 43(12):2344–2351. doi:https://doi.org/10.1249/MSS.0b013e318223af14.
   Google Scholar
• Williams AM, Ericsson KA. 2005. Perceptual-cognitive expertise in sport: some considerations when applying the expert performance approach. Hum Mov Sci. 24(3):283–307. PMID: 16095739. doi:https://doi.org/10.1016/j.humov.2005.06.002.
   Google Scholar