Leadership of School Administrators Affecting The Internal Supervision of Schools under The Office of The Non-Formal and Informal Education in The Northeast -
Main Article Content
Abstract
The purposes of this research were: 1) to study the leadership of school administrators, 2) to study in school supervision, 3) to study the relationship between leadership factors. and internal supervision in educational institutions. and 4) to create forecasting equations Leadership styles that affect internal supervision in schools Under the Office of Non-Formal and Informal Education In the northeast. The sample consisted of 341 administrators and teachers in the academic year 2562, of school under the Office of Non-Formal and Informal Education, the Northeast, draw by simple random sampling. The instrument used in this research was a questionnaire with 5 rating scales with the power rating between 0.73-0.96. and the reliability of the whole version was 0.99. The statistics used in the data analysis were mean, standard deviation. Pearson's product moment correlation coefficient and Stepwise multiple regression analysis were The research employed results were as follows: 1). Leadership of school administrators, overall, it was at the high level 2). The Internal supervision of educational institution administrators was at the high level. 3) The school administrators' leadership had a positive relationship with internal supervision with statistical significance at the level of .01 4). Forecasting leadership equation of school administrators affecting internal supervision under the Office of Non-Formal and Informal Education in the northeast with statistical significance at the level of .01 which can create the forecasting equation in the raw score form, = -.155X1 - 2.271X2. + .181X3 + 1.215X4 + .265X5 + 2.217X6 -.525X7 +1.759 Forecasting equations in the standard score format are Z = -.155X1 - 2.653X2 + .208X3 + 1.402X4 + .316X5 + 2.378X6 - .583X7 Able to jointly forecast the internal supervision of the school in 97.1%, which is statistically significant at the .01 level.