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Wolverhampton Intellectual Repository and E-Theses > School of Sport, Performing Arts and Leisure > Research Centre for Sport, Exercise and Performance > Learning and Teaching in Sport, Exercise and Performance > Selected issues in the design and analysis of sport performance research.

Please use this identifier to cite or link to this item: http://hdl.handle.net/2436/68623
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Title: Selected issues in the design and analysis of sport performance research.
Authors: Atkinson, Greg
Nevill, Alan M.
Citation: Journal of Sports Sciences, 19(10): 811-827
Publisher: Taylor & Francis
Journal: Journal of Sports Sciences
Issue Date: 2001
URI: http://hdl.handle.net/2436/68623
DOI: 10.1080/026404101317015447
PubMed ID: 11561675
Additional Links: http://www.informaworld.com/smpp/content~content=a713776375~db=all
http://direct.bl.uk/bld/PlaceOrder.do?UIN=100852263&ETOC=RN&from=searchengine
Abstract: 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.
Type: Article
Language: en
Keywords: Violation of assumptions
Performance analysis
Validity
Statistical analysis
MeSH: Great Britain
Humans
Models, Statistical
Predictive Value of Tests
Reproducibility of Results
Research Design
Sensitivity and Specificity
Sports
Statistics as Topic
Task Performance and Analysis
ISSN: 0264-0414
Appears in Collections: Learning and Teaching in Sport, Exercise and Performance

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