Confirmatory Factor Analysis of the desirable Rajamangala University of Technology administrators' characteristics in the 21st century indicators

Abstract

This article aimed to analyze the components of Rajamangala University of Technology administrators' characteristics indicators that were desirable in the 21st  century. The research was conducted in a quantitative research format, utilizing the concept of desirable executive characteristics. The objective was to develop desirable characteristics of administrators for the purpose of establishing policies for the development of administrators in affiliated universities. The research framework covered personality, leadership, knowledge and administrative abilities, as well as morals and ethics. The research was conducted in the area of  9 Rajamangala University of Technology campuses, with a sample group consisting of 415 executives selected using the stratified selection method. The classification was done by university, employing specific random and easy randomization techniques. A single type of tool was employed in the research, which was questionnaires. Data analysis included frequency statistics, percentage values, exploratory factor analysis, and confirmatory factor analysis. The research findings revealed two main outcomes 1) Components of indicators of desirable Rajamangala University of Technology administrators in the 21st century included personality, leadership management knowledge and ability, as well as morality and ethics., and 2) the results of confirming the elements of indicators of desirable Rajamangala University of Technology administrators in the 21st  century were found to be consistent with empirical data. The index measured the degree of harmony between the model and the empirical data, with the following statistics:: chi-square (χ2) = 125.825, degrees of freedom (df) = 102, statistical significance (P-value) = 0.055. Relative Harmony Index (CFI) = 0.994, Concordance Level Index (GFI) = 0.971, Adjusted Harmonic Level Index (AGFI) = 0.940, and Error in Parameter Estimation (RMSEA) = 0.024.