Data relating to factors affecting teachers' burnout: A sem analysis in an Asian context

Lantip Diat Prasojo; Akhmad Habibi; Mohd Faiz Mohd Yaakob; Robin Pratama; Mat Rahimi Yusof; Amirul Mukminin; Suyanto; Farida Hanum

doi:10.1016/j.dib.2020.105448

Data relating to factors affecting teachers' burnout: A sem analysis in an Asian context

Data Brief. 2020 Mar 19:30:105448. doi: 10.1016/j.dib.2020.105448. eCollection 2020 Jun.

Authors

Lantip Diat Prasojo¹, Akhmad Habibi², Mohd Faiz Mohd Yaakob³, Robin Pratama², Mat Rahimi Yusof³, Amirul Mukminin², Suyanto¹, Farida Hanum¹

Affiliations

¹ Universitas Negeri Yogyakarta, Indonesia, Yogyakarta, 55281.
² Universitas Jambi, Indonesia, Jambi, 36122.
³ Universiti Utara Malaysia, Malaysia, Kedah, 06010.

Abstract

The dataset presents the relationship between Teacher Self-Concept (TSC) and Teacher Efficacy (TE) as the predictors predicting burnout. Three components of burnout involved are Emotional Exhaustion (EE), Depersonalization (DP), and Reduced Personal Accomplishment (RPA). Various statistical approaches such as Content Validity Index (CVI), Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), Covariance-Based Structural Equation Modeling (CB-SEM) were addressed. Eight hundred seventy six Indonesian teachers form 3 provinces were willing to get involved by filling in the instrument. The data can be used for the educational institutions and centers to issue policies overcoming burnout among teachers, teachers to understand factors affecting their burnout, and future researchers extend the model offered by this dataset. This dataset is co-submitted from Heliyon entitled "Teachers' burnout: A SEM analysis in an Asian context" [1].

Keywords: Asian teachers; Dataset; TE; TSC; burnout.