Skip to main navigation Skip to search Skip to main content

Recommendations for Measurement and Management of an Elite Athlete

  • William Sands
  • , Marco Cardinale
  • , Jeni McNeal
  • , Steven Murray
  • , Christopher Sole
  • , Jacob Reed
  • , Nikos Apostolopoulos
  • , Michael H. Stone
  • USA Ski and Snowboard Association
  • Aspire Academy
  • Eastern Washington University
  • University of California
  • The Citadel-The Military College of South Carolina
  • University of Northern Iowa
  • University of Toronto

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageAmerican English
JournalSports
Volume7
DOIs
StatePublished - May 7 2019

Keywords

  • elite athlete
  • single-subject research
  • statistical process control
  • trend analysis

Disciplines

  • Exercise Physiology
  • Sports Sciences

Cite this