Document Type : Research Paper

Authors

1 M.A. in Sports Management,, Faculty of Physical Education and Sports Sciences, Allameh Tabatabaii, University

2 Associate Professor, Faculty of Physical Education and Sports Sciences, Allameh Tabataba'i University

Abstract

The purpose of this study was to assess the identity and personality of the teams of the Iranian Women's Football Premier League from the perspective of their players. This applied research was conducted by descriptive-correlation method. The statistical population was the players of the women's soccer teams that participated in the Premier League. In order to collect data, a 52-item researcher-made questionnaire was used which had six factors. 94 questionnaires were statistically analyzed. Descriptive statistics were used to describe frequency, mean, standard deviation and inferential statistics were used for Kolmogorov-Smirnov and Shapiro-Wilk tests, Cronbach's alpha coefficient, one-sample t-test, multivariate regression and structural equation model. For statistical operations, SPSS software version 26 and Smart PLS software version 3 were used. The reliability of the questionnaire based on Cronbach's alpha was estimated to be 0.871. Based on the research results, the dimensions of talent, success, entertainment, commitment, admiration and care explain the personality model of the women's soccer premier league teams, which was derived from the sum of success and talent subscales, performance factor and from the sum of admiration and care subscales, character factor. . The general model of structural equations of the research was obtained using the goodness of fit criterion of 0.563, which confirmed a very good fit of the general model of the research. According to the results of this study, sports managers and coaches of clubs can take effective steps to improve the level of performance of players and also improve the image of identity and personality of their team and club in order to attract sponsors and fans by using the dimensions and variables that explain each dimension. Take.

Keywords

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