درخت حوزه‌های تخصصی

Purpose: The aim of the current study was to identify the factors affecting female student’s dropout rate in Jargalan section of North Khorasan province. Methodology: fundamental and applied method was employed to cover the goal of this study also descriptive casual comparative was use for data collection. Mixed method (quantitative-qualitative) also was employed through using grounded theory(GT). The statistical population consisted of all female students leaving school in the first semester of the elementary school from 2017 to 2018, which included 200 students. In the qualitative phase, the sampling was saturated with 20 individuals and in the quantitative section, 128 students were selected based on available sampling. Semi-structured interviews and a researcher-made questionnaire based on interviews were used for data collection. The face and content validity of the questionnaire was confirmed by experts and the combined reliability was calculated with Cronbach's alpha. Confirmatory factor analysis was used to analyze the research questions. Findings: The results of grounded theory showed that economic, educational, personal beliefs, factors related to specific culture and family factors are the factors that play a role in the dropout rate. The results also showed parental resistance and children's participation in home affairs, financial constraints and bottlenecks, parental literacy, and lack of attention and importance to education of girls as much as boys, were the main causes of girls leaving school. Conclusion: Education is a long-term management tool for human resource education and long-term investment that clarifies the talents and how they contribute to the economic and social growth of societies. And the most important contributor to any society's stagnation and decline is its advancement and progress, and this enormous fertility education and responsibility holds all the talents of the present and future generations of society in expectation and expectation. Provide for growth and development because failure to complete primary education results in numerous individual and societal disadvantages, with dropouts being one of the most important.

Purpose: The present study aimed to develop a model of psychological well-being based on social capital with the mediation of emotional intelligence in education staff. Methodology: The research method was descriptive and descriptive-correlational and the method of modeling structural equations. The statistical population of the study was all education staff in Tehran in 1997-98. To determine the sample size, the principles of sample size determination were used in multivariate regression analysis in structural equation modeling, in which 610 people were selected by stratified sampling method. The Ryff and Keys Psychological Welfare Questionnaire (1989), the Putnam Social Capital Scale (2000) and the Schutte & Et al Intellectual Intelligence Questionnaire (1988) were used to measure and evaluate the status of employees. Structural equation modeling and Amos software were used to analyze the data. Findings: The results of data analysis showed that the model of predicting psychological well-being based on social capital had a favorable fit considering the mediating role of emotional intelligence based on experimental data. Conclusion: In order to promote the mental health of vital assets of a society, it is very important to pay attention to the psychological well-being of education staff and the factors affecting it.