Abstract

Abstract The first step in this paper is to standardize each index based on factor analysis, then extract factors based on eigenvalues, and then use a rotation matrix to rotate and name the factor variables. The soccer player development system was created by determining the principal components based on the eigenvectors of the eigenvalues. The relationship between exogenous and endogenous latent variables was investigated by establishing structural equations to investigate the linear combination of variables. The model was used to conduct correlation and path analysis on the influencing factors of youth soccer player development. The study showed family factors strongly correlated with youth soccer player socialization r=0.656, p<0.01. Coaching factors moderately correlated with youth soccer player socialization r=0.456, p<0.01. The study of this paper provides some reference value for the development of youth soccer players.

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