SOCIAL CAPITAL of FARMERS in FAYOUM GOVERNORATE | ||
| Fayoum Journal of Agricultural Research and Development | ||
| Article 13, Volume 29, Issue 1, January 2015, Pages 20-41 PDF (601.98 K) | ||
| Document Type: Research articles. | ||
| DOI: 10.21608/fjard.2015.193011 | ||
| Author | ||
| Osama Metwally Mohamed | ||
| Agricultural Economics Dept., Fac. Of Agric., El- Fayoum Univ. | ||
| Abstract | ||
| The study aimed basically at achieving the following objectives: developing a quantitative, valid and reliable scale of social capital, identifying the relative importance of sub- dimensions used in measuring the social capital degree, describing the social capital levels in three patterns of different developmental levels of rural communities in Fayoum district, Fayoum governorate, identifying differences in the social capital levels among the three studied types of rural communities, and finally identifying variables affecting the degree of respondents social capital. The study was conducted on three patterns of different developmental levels of villages in Fayoum district, Fayoum governorate. These villages were: Demo, Monshaet Sakran and Manashy El- Khateeb. A systematic random sample of 243 farmers (representing 10% of total numbers of farmers in the studied villages) were selected to conduct the study. Data were collected through an interviews with respondent farmers using a questionnaire. The statistical analysis tools used in the study were: Spearman Brown, Guttman and Cronback methods to estimate the reliability coefficient of the social capital scale. The construct validity method was utilized to estimate the validity degree of the proposed scale. Frequencies, percentages, arithmetic mean, standard deviation and range were also used to present and describe data. One way analysis of variance and least significant difference test were utilized in determining the defferences among the three studied villages according to the respondents’ social capital levels. Pearson correlation coefficient, chi square test and Cramer coefficient were used to identify the relationships between the respondents’ social capital levels and the studied variables. Finally, the study used stepwise multiple regression analysis to identify the relative importance of sub- dimensions used in measuring the social capital degree and also to identify the most important variables affecting the respondents’ social capital levels. | ||
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