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Recommendations for Measurement and Management of an Elite Athlete

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High Performance Department, USA Ski and Snowboard Association, Victory Ln, Park City, UT 84060, USA
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Head Sports Physiology and Research, Aspire Academy, Doha POB 22287, Qatar
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Department of Physical Education Health and Recreation, Eastern Washington University, Cheney, WA 99004, USA
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Physical Education Program, University of California, Berkeley, CA 94720, USA
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Department of Health and Human Performance, The Citadel–The Military College of South Carolina, 171 Moultrie Street Charleston, Charleston, SC 29409, USA
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Sport Science Department, WRC 121, University of Northern Iowa, Cedar Falls, IA 50613, USA
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Kinesiology and Physical Education, University of Toronto, Toronto, ON M5S-2W6, Canada
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Department of Sport, Exercise, and Recreation, East Tennessee State University, Johnson City, TN 37614, USA
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Author to whom correspondence should be addressed.
Sports 2019, 7(5), 105; https://doi.org/10.3390/sports7050105
Received: 8 March 2019 / Revised: 28 April 2019 / Accepted: 2 May 2019 / Published: 7 May 2019
Athletes who merit the title ‘elite’ are rare and differ both quantitatively and qualitatively from athletes of lower qualifications. Serving and studying elite athletes may demand non-traditional approaches. Research involving elite athletes suffers because of the typical nomothetic requirements for large sample sizes and other statistical assumptions that do not apply to this population. Ideographic research uses single-athlete study designs, trend analyses, and statistical process control. Single-athlete designs seek to measure differences in repeated measurements under prescribed conditions, and trend analyses may permit systematic monitoring and prediction of future outcomes. Statistical process control uses control charting and other methods from management systems to assess and modify training processes in near real-time. These methods bring assessment and process control into the real world of elite athletics. View Full-Text
Keywords: single-subject research; trend analysis; statistical process control; elite athlete single-subject research; trend analysis; statistical process control; elite athlete
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Sands, W.; Cardinale, M.; McNeal, J.; Murray, S.; Sole, C.; Reed, J.; Apostolopoulos, N.; Stone, M. Recommendations for Measurement and Management of an Elite Athlete. Sports 2019, 7, 105.

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