Prasojo Lantip Diat, Habibi Akhmad, Yaakob Mohd Faiz Mohd, Pratama Robin, Yusof Mat Rahimi, Mukminin Amirul, Hanum Farida
Universitas Negeri Yogyakarta, Indonesia, Yogyakarta, 55281.
Universitas Jambi, Indonesia, Jambi, 36122.
Data Brief. 2020 Mar 19;30:105448. doi: 10.1016/j.dib.2020.105448. eCollection 2020 Jun.
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].
该数据集呈现了教师自我概念（TSC）和教师效能感（TE）作为预测倦怠的预测因素之间的关系。所涉及的倦怠的三个组成部分是情感耗竭（EE）、去个性化（DP）和个人成就感降低（RPA）。文中探讨了各种统计方法，如内容效度指数（CVI）、探索性因素分析（EFA）、验证性因素分析（CFA）、基于协方差的结构方程模型（CB-SEM）。来自3个省份的876名印度尼西亚教师愿意填写问卷参与其中。这些数据可用于教育机构和中心制定克服教师倦怠的政策，帮助教师了解影响其倦怠的因素，以及供未来的研究人员扩展此数据集所提供的模型。该数据集是与《Heliyon》杂志共同提交的，标题为“教师倦怠：亚洲背景下的结构方程模型分析”[1]。
