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CONTRIBUTORS:
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JOURNAL:
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YEAR:
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1991
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PUB TYPE:
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Journal Article
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SUBJECT(S):
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EMOTION; CROSS-COUNTRY-RUNNING; ACHIEVEMENT; PROFILE-OF-MOOD-STATES; PERFORMANCE-PREDICTION; ELITE-ATHLETE; MAN; MULTIPLE-REGRESSION-ANALYSIS
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DISCIPLINE:
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No discipline assigned
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HTTP:
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LANGUAGE:
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English
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PUB ID:
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103-366-299
(Last edited on
2002/02/27 18:45:01 US/Mountain)
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SPONSOR(S):
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ABSTRACT:
Because 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 - incorportating 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 less than 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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