Selected issues in the design and analysis of sport performance research.
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JSS Research Methods.pdf
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Atkinson&Nevill JSS 2001
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Issue Date
2001
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The aim of this review is to discuss some issues in the design and statistical analysis of sport performance research, rather than to supply an authoritative 'cookbook' of methods. In general, we try to communicate some possible solutions to the conundrum of how to maintain both internal and external validity, as well as optimize statistical power, in applied sport performance research. We start by arguing that some sport performance research has been overly concerned with physiological predictors of performance, at the expense of not providing a valid and reliable description of the exact nature of the task in question. We show how the influence of certain factors on competitive performances can be described using linear or logistic regression. We discuss the choice of analysis for factorial repeated-measures designs, which is complicated by the assumption of 'sphericity' in a univariate general linear model, and the relatively low statistical power of the multivariate approach when used with small samples. We consider a little-used and simpler technique known as 'analysis of summary statistics'. In multi-group pre- and post-test designs, a useful technique can be to pair-match individuals on their performance scores in a counterbalanced fashion before the intervention or control has been introduced. Finally, we outline how confidence intervals can help in making statements about the probability of the population difference in performance exceeding the value designated as being worthwhile or not.Citation
Journal of Sports Sciences, 19(10): 811-827Publisher
Taylor & FrancisJournal
Journal of Sports SciencesPubMed ID
11561675Additional Links
https://www.tandfonline.com/doi/abs/10.1080/026404101317015447Type
Journal articleLanguage
enISSN
0264-0414ae974a485f413a2113503eed53cd6c53
10.1080/026404101317015447
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