INSTRUCTIONAL LEADERSHIP OF SCHOOL ADMINISTRATORS AFFECTING THE INTERNAL QUALITY ASSURANCE IMPLEMENTATION OF SCHOOLS UNDER THE OFFICE OF ROI ET PRIMARY EDUCATIONAL SERVICE AREA 3
Abstract:
The purposes of this research were to 1) study the level of instructional leadership of school administrators, 2) study the level of internal quality assurance implementation of schools, 3) study the relationship between instructional leadership of school administrators and the internal quality assurance implementation of schools and 4) identify the aspects of instructional leadership of school administrators that affecting the internal quality assurance implementation of school. The sample group consisted of 311 participants. The research tools were 5-level rating scale questionnaires with reliability of 0.95 for instructional leadership and 0.99 for the internal quality assurance implementation of schools. Data analysis used percentage, mean, and standard deviation. Hypotheses were tested using Pearsons product moment correlation coefficient and stepwise multiple regression
The results showed that 1) the overall level of instructional leadership of school administrators was at a high level. 2) The overall level of the internal quality assurance implementation of schools was at a high level. 3) The relationship between the instructional leadership of school administrators and the internal quality assurance implementation of schools was highly positive relationship with a correlation coefficient significant at the 0.01 level (rxy = 0.742); and 4) The instructional leadership of school administrators that affecting the internal quality assurance implementation of schools were: teacher professional development (X4), vision, mission, and goal setting of the school (X1), supervision, monitoring, and evaluation of teaching and learning (X5), and curriculum and instructional development (X2). Together, these factors accounted for 57.60 % of the variance in the internal quality assurance implementation of schools, with the following predictive equations.
Equation for forecasting using raw scores.
Y´ = .537 + .243X4 + .136X1 + .352X5 + .197X2
Equation for forecasting using standard scores.
Z´y = .287ZX4 + .093ZX1 + .440ZX5 + .155ZX2