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Variables determinantes que predicen el rendimiento de los clubes de fútbol profesional en la Primera División de Etiopía
by
Melkamu, Zelalem
, Mengistu, Sisay
, Getnet, Daniel
in
Clubs
/ Correlation
/ Human capital
/ Legal Problems
/ Likert Scales
/ Multiple Regression Analysis
/ Professional soccer
/ Soccer
2025
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Variables determinantes que predicen el rendimiento de los clubes de fútbol profesional en la Primera División de Etiopía
by
Melkamu, Zelalem
, Mengistu, Sisay
, Getnet, Daniel
in
Clubs
/ Correlation
/ Human capital
/ Legal Problems
/ Likert Scales
/ Multiple Regression Analysis
/ Professional soccer
/ Soccer
2025
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Do you wish to request the book?
Variables determinantes que predicen el rendimiento de los clubes de fútbol profesional en la Primera División de Etiopía
by
Melkamu, Zelalem
, Mengistu, Sisay
, Getnet, Daniel
in
Clubs
/ Correlation
/ Human capital
/ Legal Problems
/ Likert Scales
/ Multiple Regression Analysis
/ Professional soccer
/ Soccer
2025
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Variables determinantes que predicen el rendimiento de los clubes de fútbol profesional en la Primera División de Etiopía
Journal Article
Variables determinantes que predicen el rendimiento de los clubes de fútbol profesional en la Primera División de Etiopía
2025
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Overview
Introduction: Managing soccer clubs is a challenging and rewarding experience, requiring a combination of leadership skills and strategic decision-making. Objective: This study investigated professional soccer club performance determinants in the Ethiopian Premier League. Methodology: This study investigated professional soccer club performance determinants in the Ethiopian Premier League. A correlational analysis was conducted to examine the relationship between the variables and the performance of soccer clubs. Thirty-nine seven-point Likert scale questionnaires, deemed reliable (α = .91), were used to collect data from a sample of 214 participants selected through a simple random sampling method. Frequencies, percentages, means, standard deviations, correlations, and multiple linear regression analyses (with a significance level of P < 0.05) were performed using SPSS version 26 software. Results: There was a negative correlation between the performance of soccer clubs and fan influence (r = (214) -.170, p < .05); financing (r = (214) -.394, p < .01); club history (r = (214) -.106, p > .05); game situations (r = (214) -.480, p < .01); human capital (r = (214) -.024, p > .05); media (r = (214) -.365, p < .01); legal issues (r = (214) -.406, p < .01); and leadership and governance (r = (214) -.139, p < .05), respectively. Furthermore, eight predictors collectively explained 44.7% of the variance (F (8, 214) = 22.537, p < .001). Discussion: The study reveals that factors like financing, game situations, media, and legal issues significantly influence soccer club performance, accounting for nearly half of its variability. Conclusions: The study found that game situation, financial capability, and legal issues significantly impact football club performance, whereas human capital, fan influence, and club history exhibit greater variability.
Publisher
Federación Española de Docentes de Educación Física (FEADEF)
Subject
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