Original Articles
Wenhui Lv
Abstract
Concerning that technical statistical indicators in a basketball match have some specific features, it will thus be more scientific and effective to analyze a basketball match from the perspective of indicators’ features and offer pertinent trainings to basketball teams. Through studying technical statistical indicators in the World Championships in 2006 and 2010, this paper aims to explore the trend of indicators’ features so as to find an effective way to carry out pertinent trainings for the World Championship. To begin with, 12 technical statistical indicators in every match among 24 teams respectively in 2006 and 2010 have been collected on the official website of World Championship, thus laying the basis of data analysis of technical statistical indicators of basketball. Then, this paper theoretically refers to the principle and steps of the principal factor analysis and cluster analysis to analyze data features. Moreover, SPSS 19.0 is adopted to analyze technical statistical indicators in World Championships of 2006 and 2010 and the results of the principal factor analysis and cluster analysis is achieved. Eigenvalue, square, square and load, rotating square and load are presented in either a table or a figure, a dendrogram is drawn by distance, and technical statistical indicators are classified into five categories and five principal factors are extracted. Finally, according to the constitution of five principal factors and the percentage of the variance of initial eigenvalue, the data of 2006 is compared with that of 2010. After analyzing the data feature differences, it can be concluded that five principal factors of the former World Championship can be referred to for the training of the next one and it is highly credible.