درخت حوزه‌های تخصصی

Pourpose: The aim of research was to design and test the strategic competencies of managers of Lorestan Province Education Department in the school year 2019-2020. Methodology: It was an applied study in terms of purpose and a mixed-exploratory (qualitative/quantitative) one in regards to the method. The statistical population in Delphi Method consisted of 17 experts familiar with the research topic and were selected by targeted sampling. The statistical population in the quantitative section comprised of all presidents, vice-presidents, and directors of education departments across the province. According to Cochran’s formula 87 subjects were selected by stratified sampling. The research tool included an author-made questionnaire with three dimensions, 9 components and 83 indicators. The validity from the lecturers’ viewpoint and reliability based on Cronbach’s alpha test was 0.92. The Delphi method with Kendall’s coefficient was used to analyze data. Model fitting and validation was made by CFA (Confirmatory Factor Analysis) and structural equations in Spss and PLs Smart. Findings: Data analysis showed that concerning significance of the model aspects, management was prioritized as factor loading (.98), organizational loading (.93), and individual loading (.90) (P<0/001). Based on t amounts, the significance of factor loadings (route coefficients) of the relationships among the components and strategic competencies aspects was above 2.57 which suggested that factor loadings of all components related to the “individual”, “management”, and “organizational” aspects were meaningful in the level of error α =0.01 (P<0.001, t>2.57). Finally, the suggested model of strategic competencies of directors of education department was 0.61 based on Goodness of Fit (GOF) standard, which was more than 0.35. Conclusion: Based on the present findings, the indigenous model of strategic competencies of managers in the education system can be considered significant.

Computer-Assisted and Web-Based Innovations in Psychology, Special Education, and Health edited by James K. Luiselli & Aaron J. Fischer. London & San Diego: Academic Press, 2016. 408pp., $74.95 (hardcover), ISBN 9780128020753

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.