Applied performance analysis in canoe slalom

A needs analysis of canoe slalom (coach and athlete led) resulted in a reliable performance analysis system for training and competition. This was achieved using a procedure recommended by O'Donoghue & Longville (2004). Reliability tests concluded that errors for split-times and upstream an...

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Main Author: Wells, Julia
Published: Middlesex University 2018
Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765251
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spelling ndltd-bl.uk-oai-ethos.bl.uk-7652512019-03-05T15:14:26ZApplied performance analysis in canoe slalomWells, Julia2018A needs analysis of canoe slalom (coach and athlete led) resulted in a reliable performance analysis system for training and competition. This was achieved using a procedure recommended by O'Donoghue & Longville (2004). Reliability tests concluded that errors for split-times and upstream analyses were unacceptably high if coaches or less trained analysts collected data due to the inconsistent application of operational definitions. Study 2 used percentage times off the K1M and class winners as a measure of performance. Variability was high due to athlete, course and class differences. Race percentages from the 2013-16 Olympic cycle were used to test the probabilities associated with winning, medalling or reaching a final calculated from the 2009-12 Olympic cycle. Signal detection theory determined an appropriate balance between the risk of misses and false alarms (inversely proportional) with results supporting the use of race percentages off the class winner, rather than the K1M, and a 50% level of probability for predicting gaining a medal i.e. a low rate of false alarms (maximum 6%) and a high hit rate (over 70% of medals correctly identified). Study 3 tracked athletes' performances over time using exponentially smoothed ICF race points. Performance funnels were created for winning (previously won a major championship) and winless athletes using the median and 95% confidence intervals for the median. Time series plots for an athlete (from the start of their International career) were synchronised with the performance funnels to allow easy visualisation of performance. Nearly all athletes' time series depicted a period of initial improvement followed by a plateau and then deterioration in performance over a 7½ year period. Athletes were also classified into probable, possible and unlikely to win a future major. This thesis provided coaches and athletes with academically rigorous methodologies to aid their understanding of canoe slalom performance.Middlesex Universityhttps://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765251http://eprints.mdx.ac.uk/25955/Electronic Thesis or Dissertation
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sources NDLTD
description A needs analysis of canoe slalom (coach and athlete led) resulted in a reliable performance analysis system for training and competition. This was achieved using a procedure recommended by O'Donoghue & Longville (2004). Reliability tests concluded that errors for split-times and upstream analyses were unacceptably high if coaches or less trained analysts collected data due to the inconsistent application of operational definitions. Study 2 used percentage times off the K1M and class winners as a measure of performance. Variability was high due to athlete, course and class differences. Race percentages from the 2013-16 Olympic cycle were used to test the probabilities associated with winning, medalling or reaching a final calculated from the 2009-12 Olympic cycle. Signal detection theory determined an appropriate balance between the risk of misses and false alarms (inversely proportional) with results supporting the use of race percentages off the class winner, rather than the K1M, and a 50% level of probability for predicting gaining a medal i.e. a low rate of false alarms (maximum 6%) and a high hit rate (over 70% of medals correctly identified). Study 3 tracked athletes' performances over time using exponentially smoothed ICF race points. Performance funnels were created for winning (previously won a major championship) and winless athletes using the median and 95% confidence intervals for the median. Time series plots for an athlete (from the start of their International career) were synchronised with the performance funnels to allow easy visualisation of performance. Nearly all athletes' time series depicted a period of initial improvement followed by a plateau and then deterioration in performance over a 7½ year period. Athletes were also classified into probable, possible and unlikely to win a future major. This thesis provided coaches and athletes with academically rigorous methodologies to aid their understanding of canoe slalom performance.
author Wells, Julia
spellingShingle Wells, Julia
Applied performance analysis in canoe slalom
author_facet Wells, Julia
author_sort Wells, Julia
title Applied performance analysis in canoe slalom
title_short Applied performance analysis in canoe slalom
title_full Applied performance analysis in canoe slalom
title_fullStr Applied performance analysis in canoe slalom
title_full_unstemmed Applied performance analysis in canoe slalom
title_sort applied performance analysis in canoe slalom
publisher Middlesex University
publishDate 2018
url https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765251
work_keys_str_mv AT wellsjulia appliedperformanceanalysisincanoeslalom
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