construct validity of tests that measure kick

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Test seems to be a good predictor of other tests. ... and ability to put spin on the ball (free kick and corner kick tests) when kicking in soccer. in contrast, the goal.
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© 2016 EDIZIONI MINERVA MEDICA Online version at http://www.minervamedica.it

The Journal of Sports Medicine and Physical Fitness 2017 December;57(12):1613-22 DOI: 10.23736/S0022-4707.16.06863-8

ORIGINAL ARTICLE EXERCISE PHYSIOLOGY AND BIOMECHANICS

Construct validity of tests that measure kick performance for young soccer players based on cluster analysis: exploring the relationship between coaches rating and actual measures Luiz H. PALUCCI VIEIRA 1, 2, Vitor L. de ANDRADE  2, Rodrigo L. AQUINO  2, 3, 4, Renato MORAES  1, 2, Fabio A. BARBIERI  5, Sérgio A. CUNHA 6, Bruno L. BEDO  2, Paulo R. SANTIAGO  1, 2 * 1Biomechanics and Motor Control Laboratory (LaBioCoM), School of Physical Education and Sport of Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil; 2Post-Graduate Program in Rehabilitation and Functional Performance, Faculty of Medicine at Ribeirão Preto, University of São Paulo (FMRP), Ribeirão Preto, São Paulo, Brazil; 3CIFI2D, Faculty of Sport, University of Porto, Porto, Portugal; 4Botafogo Futebol Clube, Youth Training Department, Ribeirão Preto, São Paulo, Brazil; 5Laboratory of Information, Vision and Action, Physical Education Department, São Paulo State University “Júlio de Mesquita Filho”, Bauru, São Paulo, Brazil; 6Laboratory of Instrumentation for Biomechanics (LIB), Faculty of Physical Education (FEF), State University of Campinas, Campinas, São Paulo, Brazil

*Corresponding author: Paulo R. Santiago, Faculty of Medicine at Ribeirão Preto, University of São Paulo. Av. Bandeirantes 3900, Monte Alegre, Ribeirão Preto SP, CEP 14049-900, Brazil. E-mail: [email protected]

A B S T RAC T BACKGROUND: The main aim of this study was to verify the relationship between the classification of coaches and actual performance in field tests that measure the kicking performance in young soccer players, using the K-means clustering technique. METHODS: Twenty-three U-14 players performed 8 tests to measure their kicking performance. Four experienced coaches provided a rating for each player as follows: 1: poor; 2: below average; 3: average; 4: very good; 5: excellent as related to three parameters (i.e. accuracy, power and ability to put spin on the ball). RESULTS: The scores interval established from k-means cluster metric was useful to originating five groups of performance level, since ANOVA revealed significant differences between clusters generated (P

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