This study aimed at identifying the political knowledge and some aspects of political participation of the rural youth, and determining variables that are proposed to relate and explaine the variance of degree of political knowledge and political participation of the rural youth. Data were collected from a random sample of 1100 youth (550 males, and 550 females) in eleven villages at Menoufiya governorate through personal interviews with respondents. The results of the study indicated a low political knowledge degree and political participation degree for the rural youth. The results of statistical tests revealed that there were significant differences between the two groups of respondents (males and females) regarding political knowledge degree and political participation degree. The findings of step-wise multiple regression analysis indicated that: , The most important variables affecting degree of male's political knowledge were education level, participation in developmental projects, cultural cosmoplitness, participation in public election's conferences, participation in social organizations and participation in political parties. These six significant independent variables explained only 37.9% of the total variance of the male's political knowledge degree. , The most important variables affecting degree of female's political knowledge were education level, cultural cosmoplitness, participation in social organizations, socialization and politicalization, geographical cosmoplitness, monthly incom and age. These seven significant independent variables explained only 33.3% of the total variance of the female's political knowledge degree. , The most important variables affecting degree of male's political participation were political knowledge degree, participation in social organizations, participation in developmental projects and cultural cosmoplitness. These four significant independent variables explained only 24% of the total variance of the male's political participation degree. , The most important variables affecting degree of female's political participation were political knowledge degree, participation in social organizations, age, geographical cosmoplitness, family education level and cultural cosmoplitness. These six significant independent variables explained only 15.6% of the total variance of the female's political participation degree. The study were concluded with a discussion of its findings and a number of suggestions for the inhancement of rural youth' participation in political activities were introduced.

The recent study aims to: identify the degree of farmers implementations for the recommendations of the technical rationalization of water use in New valley Governorate. In addition, identifying the independent variables affecting the degree of farmers implementations for the recommendations of the technical rationalization of water use as a dependent variable. In order to accomplish the study objectives, new valley Governorate was selected as a filed study. A systematic random sample of 212 farmers was selected. This sample represents about 5% of the total farmers in three villages in New valley Governorate. A questionnaire was designed and collected using the personal interview (after it was pre tested) during may 2011. Then, the data were tabulated and analyzed by using simple correlation coefficient, stepwise regression. The study finding showed that about 14% of the total sample have low level of implementations for the recommendations of the technical rationalization of water use. Medium category represents about 50%, and high category of implementations for the recommendations of the technical rationalization of water use represents about 36% of the total sample. Results revealed by using stepwise regression showed that three variables affected the degree of implementations for the recommendations of the technical rationalizations of water use, and these variables explained about 51% of the total variance of the implementations for the recommendations of the technical rationalization of water use. Those variables were: farmland holding size, respondent attitude towards the extension activities, finally respondent degree of formal social participation.