Psychometric Properties of Academic Burnout Syndrome Scale Among University Students

Main Article Content

Cherreen Chisa Kliangkaew
Priyanut Wutti Chupradit

Abstract

Objective: The purpose of this study 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. 


Materials and Methods: It consisted of 26 items and was content-validated by five experts. 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.


Results: The 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 c2 = 251.753, df = 217, c2 /df = 1.16, p-value = 0.0528, CFI = 0.994, TLI = 0.991, RMSEA = 0.018, SRMR = 0.029.


Conclusion: The measurement tool for assessing burnout among university students is consistent, content-valid, and has structural correctness. Therefore, it has good psychological measurement properties.

Article Details

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Original article (นิพนธ์ต้นฉบับ)

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