This study aimed to construct a measure of social exclusion of rural women that has indications of stability and validity, characterizing the level of social exclusion of rural women in its various dimensions (social exclusion - economic exclusion - political exclusion - total degree of exclusion) in the study area, as well as determining the relative importance of each of the axes used in Measuring the social exclusion of rural women, and identifying the reasons that lead to the social exclusion of rural women from the point of view of the respondents in the study sample.
A regular random sample of 300 rural women was selected,160 respondents in the village of Qasr Rashwan, 140 respondents in the village of Dar Al-Salam.. Frequency distribution tables, percentages, arithmetic mean, and standard deviation were used to display and describe the data, and the Spearman and Brown equation was used for prediction , and Gutman's coefficient, stability coefficient alpha (α) by Cronbach's method, to measure the stability of the measure of social exclusion of rural women, Pearson's simple correlation coefficient, and gradual multiple regression analysis were used to identify the order of social exclusion axes according to their relative importance within the scale.
The most important results were that the stability coefficients of the measure of social exclusion of rural women and its sub-axes were all relatively high, which provides a great deal of confidence in the use of this measure. And that the majority of women in the study sample (35.0% - 39.3%) experience economic exclusion in a medium and high degree, and the majority of women in the study sample (39.1% - 33.6%) experience social exclusion in a medium and high degree. And that more than half of the respondents (59.7%) have a high degree of political exclusion. The value of (F) of (203.45) indicated the significance of the regression model for the relationship of the main axes (economic exclusion, social exclusion, political exclusion) with the degree of total social exclusion of rural women.