E3S Web Conf.
Volume 319, 2021International Congress on Health Vigilance (VIGISAN 2021)
|Number of page(s)||6|
|Section||Methods, Tools and Techniques in Health Vigilance|
|Published online||24 November 2021|
Validation of Academic burnout scale among Moroccan trainee teachers
1 Research Laboratory Innovation & Information System, EuRSED Vienne France.
2 Research Laboratory of Informatics Systems and Optimization, Faculty of science, Ibn Tofail, University, Kénitra, Morocco.
3 Research Laboratory: Education, Environment & Health (EES) at CRMEF Rabat / Salé / Kénitra.
4 Laboratory of Genetics and Biometrics, Faculty of science, Ibn Tofail University, Kénitra, Morocco
5 Department of Psychology, University Paris Nanterre, 92000 Nanterre, France.
6 Laboratory of Analysis, Geometry and Applications, Faculty of science, Ibn Tofail University, Morocco.
Corresponding Author: email@example.com
With the aim of measuring trainee’s academic burnout, the Maslach Burnout Inventory –Student Scale was translated, revised and validated. A cross-sectorial study took place between November and March 2020.The sample consisted 160 trainee teachers (36% males, 64% females) from Kénitra Regional Center of Education and Training (CRMEF). The average age is 27.94 ± 5.44 years. The Data collected was analyzed by SPSS to establish descriptive analysis, calculate reliability, and other psychometric properties. An exploratory factor analysis was used to validate the MBI-SS instrument. The results indicated the conservation of three factors. All subscales had satisfactory reliability. This study can be applied to more specific samples in other regional centers.
Key words: Trainee teacher / academic burnout / validation / reliability
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.