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Showing 2 results for Socioeconomic Status
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Volume 2, Issue 7 (1-2015)
Abstract
This study aimed at determining the relationship between socioeconomic status and motivation to participate in sports activities in the disabled and veterans of Chaharmahal-va-Bakhtiary province. The present study was descriptive correlation and 167 athlete disabled and veterans were selected as the study sample. The Questionnaire of Socioeconomic Status (Ghodratnama, 2013) and Motivation to Participate in Physical Activity Questionnaire by Hung (2010) were used. Their reliability was determined by Cronbach's alpha (Socioeconomic Status: α=0.86 and Motivation to Participate in Physical Activity: α=0.81) and their face validity was confirmed by 12 physical education professors. Descriptive and inferential statistics including Pearson correlation coefficient and multiple liner regression analysis were used to analyze the data. Results showed a direct and significant relationship between socioeconomic status and motivation to participate (r=0.226, P=0.01). There was a direct and significant relationship between rate of income, economic class and education (the components of the socioeconomic status) and the motivation to participate in sports activities. However, there was no significant relationship between housing status and motivation to participate in sports activities. Results of multiple regression showed that the rate of income (β=0.197) and education (β=0.201) were the most important predictors of motivation to participate in sports activities in the disabled and veterans.
, , ,
Volume 5, Issue 16 (4-2017)
Abstract
Planning and control are described as two blades of scissors. Therefore, it is necessary to identify the socioeconomic status of participants in order to scientifically plan and determine the performance evaluation indicators for proper control. The aim of this study was to identify the socioeconomic status of participants in sport for all. The research method was descriptive – survey and the population consisted of all participants in the sport for all in Tehran city. In this study, socioeconomic status comprised of the components: housing, job, income, education of participants, their spouse and children, the amount of study, domestic and foreign travels, spouse’s job, personal and recreational facilities. A researcher-made checklist was used after confirming its content validity and determining its reliability (α=0.84). Data were analyzed using descriptive and inferential statistics (independent 2-sample t test). Results showed that most participants belonged to the lower (53.8%) and middle (43.2%) classes and lowest percentage (3%) belonged to the upper class. Also, no significant differences were observed in socioeconomic status between men and women. SWOT analysis was used to analyze the results and to extract policies and strategies based on the facts. Then, practical suggestions along with predetermined performance evaluation indicators were provided.
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