DEVELOPMENT OF SOFT POWER INDICATORS FOR SCHOOL ADMINISTRATORS UNDER THE PRIMARY EDUCATIONAL SERVICE AREA OFFICE IN THE UPPER NORTHEASTERN REGION

Abstract

The purposes of this research were to 1) study the components and soft power indicators for school administrators, and 2) to investigate the congruence of the model of components and soft power indicators for school administrators with perceptual data. The informants consisted of 380 teachers, who were selected through stratified random sampling and categorized according to the criteria set by the Upper Northern Educational Office. The research instrument was a questionnaire with five rating scales, and an IOC consistency index were between 0.60 - 1.00. The analyzes of each item ranged from 0.461 to 0.925, with a reliability coefficient of 0.98. Quantitative analysis was conducted using statistical software to determine the mean, standard deviation, and statistical significance of the analyzed data. Bartlett's Test of Sphericity and the Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO) were employed to assess the suitability of the data for factor analysis. The components were analyzed, and the congruence was verified with perceptual data. The findings revealed that: 1) the components and soft power indicators for school administrators were overall at a high level, consisting of  3 main components, 19 sub-components, and 45 soft power indicators, which comprised organizational culture, which consisted of 10 sub-components and 25 indicators, organizational values, which comprised 4 sub-components and 8 indicators, and organizational policy, which included 5 sub-components and 12 indicators.  2) The consistency of the components and soft power indicators for school administrators, which consisted of 3 main components, 3 sub-components, and 45 indicators, was examined with perceptual data. The model exhibited characteristics of a just identified model, indicating the same direction with insignificant path intercepts. The GFI index was 1.000, the CFI index was 1.000, the RMR index was 0.000, and the NFI index was 1.000. The latent variable confidence (ρC) had a value of 0.56, and the extracted variance mean had a value of 0.30. These statistical values indicate the congruence of the model with perceptual data.