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Survey research reveals high transformational leadership among administrators in Sichuan University, suggesting the need for improved training and incentive mechanisms.
The objectives of this research were: (1) To study the level of transformational leadership of administrators in Sichuan University of Arts and Sciences under Sichuan province; (2) To compare transformational leadership of administrators in Sichuan University of Arts and Sciences under Sichuan province, clssified by age and education level; and (3)To propose the guideline for transformational leadership of administrators in Sichuan University of Arts and Sciences under Sichuan province. This research was survey research. The sample was 285 teachers in Sichuan University of Arts and Sciences under Sichuan province. The instrument for data collection were a five-point rating scale questionnaire. The statistic for analysis data were frequency, percentage, mean, Standard Deviation and t-test. The results of research were found that: (1) transformational leadership of the administrators in Sichuan University of Arts and Sciences under Sichuan province, overall was at high level; (2) comparison of transformational leadership of the administrators in Sichuan University of Arts and Sciences under Sichuan province, clssified by education level and work experience were not different; and (3) the guideline for transformational leadership of the administrators in Sichuan University of Arts and Sciences under Sichuan province: 1st strengthen the training and study of leading cadres to improve their leadership and quality. Learn advanced leadership concepts and methods through various training courses and academic exchange activities; 2nd Establish an effective incentive mechanism to encourage leading cadres to innovate and take responsibility. To the outstanding performance of the leading cadres to give commendation and reward, stimulate the work enthusiasm; 3rd to strengthen the participation of teachers and students and establish and improve a sound democratic decision-making mechanism.
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Kexin et al. (2025) studied this question.
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