Farnaz Fakhri; Seyyed Mohamad Hosein Razavi; Amir Reza Khadem
Volume 14, Issue 28 , September 2015, , Pages 9-24
Abstract
Recently, the competition between countries to gain medals in international competitions and rankings of countries based on scores, has taken a high intensity and this has led thes researchers to begin to explore affecting socio-economic and other factors in sporting success in various competitions including ...
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Recently, the competition between countries to gain medals in international competitions and rankings of countries based on scores, has taken a high intensity and this has led thes researchers to begin to explore affecting socio-economic and other factors in sporting success in various competitions including the Olympic Games. However, the growth of research in this field and distribution of information, dominance of all aspects of this area is impossible. Hence, the combination of the results of previous conducted studies to obtain an overview research topic is more useful than the definition of new research projects. In the present study, purposive sampling (snowball sampling) was used. After reviewing the articles about the relationship between economic factors and sport performance, 20 studies were selected. To analyze the data collected, a comprehensive meta-analysis software program was used. The results showed that the mean of effect size of the relationship between economic factors and performance in sports events was 0.415. Since the effect size of the estimated is significant at 95% level, economic factors effect on sports performance.
Fariba Askarian; Afshar Jafari; Farnaz Fakhri
Volume 12, Issue 19 , April 2013, , Pages 205-220
Abstract
Due to the influence of different aspects of the sport, especially athletics in the community as one of the indicators of economic and social development, this study ought to identify the least-developed and non-development regions, leading to proper planning for reduce regional disparities.
The present ...
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Due to the influence of different aspects of the sport, especially athletics in the community as one of the indicators of economic and social development, this study ought to identify the least-developed and non-development regions, leading to proper planning for reduce regional disparities.
The present study was descriptive and analytical. The statistical population consisted of 30 the Organization of Youth and Sports. The statistical sample was same with statistical population. The data’s of provinces includes, athletes, coaches, medals were won by each province, sport facilities … by the researcher made questionnaire. Descriptive statistic methods were used to describe data and inferential statistics methods (factor analysis) and numerical taxonomy to analyze the data (α= 0.05).
The results indicate that 10.34% of provinces were developed, 48.27% leas-development & 41.37% non-development. Also Tehran in comparison with the other provinces was non-homogeneous.
Determining to recognize the leas-development and non-development provinces in term of athletics, will help sports authorities to allocate scheduling of priority in regions.
