ADMINISTRATIVE FACTORS AFFECTING EFFECTIVENESS OF SCHOOLS UNDER PATHUMTHANI PRIMARY EDUCATIONAL SERVICE AREA 1

Abstract

This research aimed to 1) Study the level of school administrative factors 2) Study the level of school administrative efficiency and 3) Study the predictive power of administrative factors affecting the effectiveness of schools. 2) This research is a quantitative research. The sample group used in the research is teachers and educational personnel in schools under the Office of the Primary Educational Service Area, Pathum Thani Area 2, academic year 2025. The sample size was determined using Krejci and Morgan's table. The sample consisted of 297 people. The sample group was selected according to the proportion criteria and the sample group was randomly selected using the stratified random sampling method. The data collection tool was a questionnaire with a reliability value of 0.8650. The statistics used for data analysis included frequency, percentage, mean, standard deviation, and stepwise multiple regression analysis.

The research results found that: 1) Factors affecting the efficiency of school administration under the Office of the Basic Education Commission were at the highest level in all aspects considering each factor individually, all factors were at the highest level. 2) The efficiency of school administration under the Office of the Basic Education Commission was at a high level overall. 3) Teacher and educational personnel factors (X₂), parent and community factors (X₃), budget factors (X₄), and educational media and technology factors (X₅) affected the efficiency of school administration under the Office of the Basic Education Commission, Pathum Thani Educational Service Area 2 with statistical significance at the .05 level, with a multiple correlation coefficient (R) of .878. This could explain 77.20 percent of the variance in the efficiency of schools’ administration under the Office of the Basic Education Commission, Pathum Thani Educational Service Area 2 (R² = .772). The influence of predictor variables on criterion variables from most to least was as follows: Educational media and technology factors (β = .362), parent and community factors (β = .200), teachers and educational personnel factors (β = .181), and budget factors (β = .179).