Ethical Leadership of School’s Administrators Affecting Organizational Climate of Schools under the Office of Roi Et Primary Educational Service Area 3

Abstract

The purposes of this research were to: 1) study ethical leadership of school’s administrators; 2) study organizational climate of schools, and 3) create the prediction equations of ethical leadership of school’s administrators affecting organizational climate of schools under the office of Roi Et primary educational service area 3. The samples were 323 administrators and teachers in schools under the office of Roi Et primary educational service area 3 in 2018 academic year. The research instrument used for data collection was a five rating scales questionnaire with reliabilities of Cronbach’s alpha coefficient were 0.910 and 0.850. The statistical techniques employed in data analysis were percentage, mean, standard deviation and Pearson Product Moment Correlation Coefficient. Regression equations were created for predicting dependent variables through Stepwise Multiple Regression analysis. The research findings were as follows: 1) the level of ethical leadership of school’s administrators of schools under the office of Roi Et primary educational service area 3 in overall was at a high level. Individual aspects were at high level for all aspects. 2) The organizational climate of schools under the office of Roi Et primary educational service area 3 in overall was at a high level. Individual aspects were at high level for all aspects. 3) Ethical leadership of school’s administrators affecting organizational climate of schools under the office of Roi Et primary educational service area 3, there were 4 aspects: good citizen(X6), respect to individual (X5), reliability (X4), and honesty (X3) respectively. The four variables predicted the variance of ethical leadership affecting organizational climate. It could predict 72.50%. The prediction equations could be written as follow: The regressive equation in the form of raw score (Unstandardized Score) Y´ = .556 + .407X6 + .202X5 + .162X4 + .081X3 The regressive equation in the form of standard score (Standardized Score)