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dc.contributor.authorCockerill, I. M.
dc.contributor.authorNevill, Alan M.
dc.contributor.authorLyons, Noel
dc.date.accessioned2010-07-06T09:26:25Z
dc.date.available2010-07-06T09:26:25Z
dc.date.issued1991
dc.identifier.citationJournal of Sports Sciences, 9(2): 205-212
dc.identifier.issn0264-0414
dc.identifier.pmid1895356
dc.identifier.urihttp://hdl.handle.net/2436/107256
dc.description.abstractBecause moods are transitory emotional states that can be influenced by a range of personality and environmental factors, the notion that elite athletes will always tend to produce a so-called iceberg profile of mood, and that less successful performers will not, is open to question. Evidence for such a claim is based principally upon descriptive studies. The present experiment used the POMS inventory as a predictor of cross-country running performance among a group of experienced male athletes. Race times from two competitive events were plotted against each of six mood factors. Using data from race 1, a multiple-regression model - incorporating the interdependence of tension, anger and depression - was able to predict rank order of finishing positions for race 2 with acceptable accuracy (rs = 0.74, P <0.01). The present approach differs from the traditional model of mood research in sport in that it provides a prescriptive, rather than a descriptive, focus. Although the model that has been developed appears promising, it is likely that in sports where demands on athletes are very different from those made upon cross-country runners, an alternative model may be required.
dc.language.isoen
dc.publisherRoutledge
dc.relation.urlhttp://www.swetswise.com/link/access_db?issn=0264-0414&mode=A_MLL
dc.subjectMood
dc.subjectCross-country running
dc.subjectPerformance prediction
dc.subjectMultiple regression
dc.subjectModelling
dc.titleModelling mood states in athletic performance
dc.typeJournal article
dc.identifier.eissn1466-447x
dc.identifier.journalJournal of Sports Sciences
html.description.abstractBecause moods are transitory emotional states that can be influenced by a range of personality and environmental factors, the notion that elite athletes will always tend to produce a so-called iceberg profile of mood, and that less successful performers will not, is open to question. Evidence for such a claim is based principally upon descriptive studies. The present experiment used the POMS inventory as a predictor of cross-country running performance among a group of experienced male athletes. Race times from two competitive events were plotted against each of six mood factors. Using data from race 1, a multiple-regression model - incorporating the interdependence of tension, anger and depression - was able to predict rank order of finishing positions for race 2 with acceptable accuracy (rs = 0.74, P <0.01). The present approach differs from the traditional model of mood research in sport in that it provides a prescriptive, rather than a descriptive, focus. Although the model that has been developed appears promising, it is likely that in sports where demands on athletes are very different from those made upon cross-country runners, an alternative model may be required.


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