Factor analysis for detection of sports talent in football players

DOI: https://doi.org/10.17765/2176-9206.2022v15n1.e9766
Keywords: Multivariate analysis, Soccer, Sports performance

Abstract

Verify the applicability of Factor Analysis - FA by crossing the variables obtained with the tests proposed by a protocol for detecting talent, anthropometry, flexibility and strength. The sample included 38 under-19 athletes from Cuiabá Esporte Clube. The evaluation consisted of the application of the iSports test protocol to detect sports talent, anthropometric tests (weight, height, BMI, WHR), flexibility test (sit and reach), manual strength test (Hand Grip) and vertical impulsion test. Through PA, 14 variables were reorganized into 4 new factors taking into account their commonalities and variances. Each new factor presents correlations between 2 or more variables that were discussed later. This type of multivariate statistical analysis proved to be efficient for grouping of data and for the possibility of being applied as a tool that helps and seeks to contemplate the multidimensionality of the identification of sporting talents.

Author Biographies

Ariel Abrahão, Universidade Federal de Mato Grosso - UFMT
Faculty of Physical Education, Postgraduate Program in Physical Education, Federal University of Mato Grosso (UFMT), Cuiabá (MT), Brazil.
Élvio Marcos de Andrade Júnior, Universidade Federal de Mato Grosso - UFMT
Faculty of Physical Education, Postgraduate Program in Physical Education, Federal University of Mato Grosso (UFMT), Cuiabá (MT), Brazil.
Almir de França Ferraz, Universidade São Judas Tadeu - USJT
Faculty of Physical Education, Postgraduate Program in Physical Education, Federal University of Mato Grosso (UFMT), Cuiabá (MT), Brazil.
Kuang Hongyu, Universidade Federal de Mato Grosso - UFMT
Department of Statistics, Federal University of Mato Grosso (UFMT), Cuiabá (MT), Brazil.
Carlos Fett, Universidade Federal de Mato Grosso - UFMT
Faculty of Physical Education, Postgraduate Program in Physical Education, Federal University of Mato Grosso (UFMT), Cuiabá (MT), Brazil.

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Published
2022-01-31
Issue
Vol 15 No 1 (2022): jan./mar.
Section
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