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


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].

SUBMITTER: Prasojo LD 

PROVIDER: S-EPMC7154994 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

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

Prasojo Lantip Diat LD   Habibi Akhmad A   Yaakob Mohd Faiz Mohd MFM   Pratama Robin R   Yusof Mat Rahimi MR   Mukminin Amirul A   Suyanto   Hanum Farida F  

Data in brief 20200319


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 sev  ...[more]

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