2.50
Hdl Handle:
http://hdl.handle.net/2436/68623
Title:
Selected issues in the design and analysis of sport performance research.
Authors:
Atkinson, Greg; Nevill, Alan M.
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.
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
Type:
Article
Language:
en
ISSN:
0264-0414
Appears in Collections:
Learning and Teaching in Sport, Exercise and Performance

Full metadata record

DC FieldValue Language
dc.contributor.authorAtkinson, Greg-
dc.contributor.authorNevill, Alan M.-
dc.date.accessioned2009-05-20T16:11:05Z-
dc.date.available2009-05-20T16:11:05Z-
dc.date.issued2001-
dc.identifier.citationJournal of Sports Sciences, 19(10): 811-827en
dc.identifier.issn0264-0414-
dc.identifier.pmid11561675-
dc.identifier.doi10.1080/026404101317015447-
dc.identifier.urihttp://hdl.handle.net/2436/68623-
dc.description.abstractThe 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.en
dc.language.isoenen
dc.publisherTaylor & Francisen
dc.relation.urlhttp://www.informaworld.com/smpp/content~content=a713776375~db=allen
dc.relation.urlhttp://direct.bl.uk/bld/PlaceOrder.do?UIN=100852263&ETOC=RN&from=searchengineen
dc.subjectViolation of assumptionsen
dc.subjectPerformance analysisen
dc.subjectValidityen
dc.subjectStatistical analysisen
dc.subject.meshGreat Britainen
dc.subject.meshHumansen
dc.subject.meshModels, Statisticalen
dc.subject.meshPredictive Value of Testsen
dc.subject.meshReproducibility of Resultsen
dc.subject.meshResearch Designen
dc.subject.meshSensitivity and Specificityen
dc.subject.meshSportsen
dc.subject.meshStatistics as Topicen
dc.subject.meshTask Performance and Analysisen
dc.titleSelected issues in the design and analysis of sport performance research.en
dc.typeArticleen
dc.identifier.journalJournal of Sports Sciencesen

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