Data analysis for strength and conditioning coaches: using Excel to analyze reliability, differences, and relationships

Turner, Anthony N. ORCID logoORCID: https://orcid.org/0000-0002-5121-432X, Brazier, Jon, Bishop, Chris ORCID logoORCID: https://orcid.org/0000-0002-1505-1287, Chavda, Shyam ORCID logoORCID: https://orcid.org/0000-0001-7745-122X, Cree, Jon ORCID logoORCID: https://orcid.org/0000-0002-7738-0203 and Read, Paul (2015) Data analysis for strength and conditioning coaches: using Excel to analyze reliability, differences, and relationships. Strength & Conditioning Journal, 37 (1) . pp. 76-83. ISSN 1524-1602 [Article] (doi:10.1519/SSC.0000000000000113)

Abstract

Statistical analysis is crucial to the role of strength and conditioning, and coaches should be able to identify whether their data are reliable and objectively determine differences and relationships. These analytical skills are central to our ability of uncovering trends and associations, making predictions and assessing the efficacy of training programs. This article reviews statistical tests available through Microsoft Excel, covering reliability (through the coefficient of variation), the smallest worthwhile change (i.e., the first meaningful difference in scores), effect sizes (i.e., the magnitude of change between performance scores), and relationships (i.e., correlations)

Item Type: Article
Research Areas: A. > School of Science and Technology > London Sport Institute > Strength and Conditioning at the London Sport Institute
Item ID: 14621
Useful Links:
Depositing User: Anthony Turner
Date Deposited: 22 Apr 2015 12:12
Last Modified: 20 Feb 2020 14:46
URI: https://eprints.mdx.ac.uk/id/eprint/14621

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