คุณสมบัติการวัดทางจิตวิทยาของมาตรวัดภาวะหมดไฟ ในการเรียนของนักศึกษามหาวิทยาลัย

Abstract

The name of the research is Psychometric Properties of Academic Burnout Syndrome Scale Among University Students. The purpose of this research was to study and develop the Psychometric burnout scale in university students, analyzing quantitative data by content analysis and using the model of Maslach burnout inventory in university students. It consisted of 26 items and was content-validated by five experts. The research tools were used with an experimental group of 37 students to analyze the reliability and discrimination. Subsequently, a confirmatory factor analysis was conducted with 484 students from Chiangmai University in three fields: Health Science, Science and Technology, and Liberal Arts and Social Sciences, from December 2022-January 2023. The research results was content validity index test by CVI = 0.86 and was used to test the burnout among university students. The reliability of the whole measuring questionnaire had an alpha coefficient of 0.918. When individual components were taken into consideration, it was found that emotional exhaustion = 0.807, cynicism = 0.777, and reduced academic efficacy = 0.915. From the analysis of discrimination power, it was found that the Pearson correlation coefficient was between 0.029 – 0.766. The structural equation for validity using factor analysis confirmed the fit with the empirical data, as indicated by the following statistical values 2 = 251.753, df = 217, 2 /df = 1.16, p-value = 0.0528, CFI = 0.994, TLI = 0.991, RMSEA = 0.018, SRMR = 0.029. The factor loading of the first order () of Emotional exhaustion was between 0.520 and 0.749, the factor loading of the second order () of Cynicism was between 0.381 and 0.828, and the factor loading of the third order () of Reduced academic efficacy was between 0.456 and 0.772 Key words: Psychometric Properties, Burnout Syndrome Scale, University Students