This research aimed to characterize and measure the level of social capital in the study area, identify the nature of the relationship between the level of social capital and its determinants in the study area, also identify the differences between the categories of respondents according to the level of social capital in the study area, as well as classify the level of social capital of the respondents in the study area into three levels (low, medium, high), using discriminant analysis, knowing which of the factors and determinants taken in the study significantly affect the classification, and which of them do not significantly affect the classification.
The study was conducted in the village of Sayedna Ayoub, one of the Banjer Asoukar villages. The sample consisted of 136 individuals, which is 40% of the total number of households in the village. Data was collected through personal interviews. More than one statistical method was used in analyzing the data of this study to achieve its objectives and test its hypotheses. Descriptive and analytical statistical methods, such as Discriminant analysis and Ancova, were used.
The most important results were:
-          There is a statistically significant correlation at the probability level 0.01, between the dependent variable (the level of social capital) and its determinants in the study area.
-          Discriminant functions were obtained that reflect the classification of the level of social capital in the study area. The proposed model correctly classified the members of the studied sample at a rate of 94.1%. There is a significant effect of the proposed model on the classification of the level of social capital.
-          The rank of the percentage contribution of each predictor variable (in the first discriminant function) in explaining the variation in discriminating and classifying groups for the level of social capital is as follows: the degree of life obstacles and pressures is 76.9%, followed by the degree of religiousness at 74.8%, then occupation at 60.9%, education level at 56.7%, degree of belonging to the local community at 49%, family size at 38.6%, age of the respondent at 31.8%, environmental behavior at 25.4%, degree of social adaptation at 23.5%, motivation to participate at 23.3%, degree of individual volunteerism at 21.1%, degree of geographical openness at 20%, satisfaction with local community services at 18.3%, standard of living per living unit at 17.8%, marital status at 7.8%, trend towards agricultural work at 5.6%, and finally, degree of cultural openness at 3.7%.