Recommendations for Measurement and Management of an Elite Athlete

Authors

William Sands, USA Ski and Snowboard AssociationFollow
Marco Cardinale, Aspire AcademyFollow
Jeni McNeal, Eastern Washington UniversityFollow
Steven Murray, University of California - BerkeleyFollow
Christopher Sole, The Citadel–The Military College of South CarolinaFollow
Jacob Reed, University of Northern IowaFollow
Nikos Apostolopoulos, University of TorontoFollow
Michael Stone, East Tennessee State UniversityFollow

Document Type

Article

Publication Version

Published Version

Keywords

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

Journal/Book/Conference Title

Sports

Volume

7

Issue

5

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.

Department

Department of Kinesiology

Comments

First published in Sports, v.7 n.5 (May 2019), by MDPI Open Access Journals.

Original Publication Date

5-2019

DOI of published version

10.3390/sports7050105

Repository

UNI ScholarWorks, University of Northern Iowa, Rod Library

Date Digital

2019

Copyright

©2019 Sands, et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Language

en

File Format

application/pdf

Recommended Citation

Sands, William; Cardinale, Marco; McNeal, Jeni; Murray, Steven; Sole, Christopher; Reed, Jacob; Apostolopoulos, Nikos; and Stone, Michael, "Recommendations for Measurement and Management of an Elite Athlete" (2019). Faculty Publications. 2.
https://scholarworks.uni.edu/kin_facpub/2