Social Support at Work and Workload as Predictors of Satisfaction with Life of Peruvian Teachers

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Bibliographic Details
Title: Social Support at Work and Workload as Predictors of Satisfaction with Life of Peruvian Teachers
Language: English
Authors: Carranza Esteban, Renzo Felipe (ORCID 0000-0002-4086-4845), Mamani-Benito, Oscar (ORCID 0000-0002-9818-2601), Turpo Chaparro, Josué Edison (ORCID 0000-0002-1066-6389), Apaza Romero, Abel (ORCID 0000-0002-1791-9609), Castillo-Blanco, Ronald W. (ORCID 0000-0003-2945-3583)
Source: South African Journal of Education. 2023 43(3).
Availability: Education Association of South Africa. University of Pretoria, Centre for the Study of Resilience, Level 3, Groenkloof Student Centre, Department of Educational Psychology, Faculty of Education, George Storrar Road and Lleyds Street, Pretoria 0001, South Africa. Web site: http://www.sajournalofeducation.co.za/index.php/saje/index
Peer Reviewed: Y
Page Count: 10
Publication Date: 2023
Document Type: Journal Articles
Reports - Research
Education Level: Elementary Education
Secondary Education
Descriptors: Social Support Groups, Faculty Workload, Predictor Variables, Life Satisfaction, Foreign Countries, Elementary School Teachers, Secondary School Teachers
Geographic Terms: Peru
ISSN: 0256-0100
2076-3433
Abstract: The repercussions of the coronavirus disease (COVID-19) have generated effects on the working modality of teachers, in whom it is convenient to study variables associated with well-being. The objective with this research was to determine whether social support at work and workload predict satisfaction with life in a sample of Peruvian teachers. The methodology was a predictive and cross-sectional study, carried out on 584 Peruvian teachers of both genders selected in a non-probabilistic way; to whom the social support scale at work, the workload scale and the life satisfaction scale were applied. The survey was carried out virtually, and descriptive statistics, Pearson's correlation coefficient and structural equation modelling (SEM) were conducted to examine the hypothetical model. In the analysis of the proposed model, an adequate fit was obtained, X[superscript 2] (116) = 435.5, p < 0.001, CFI = 0.963, RMSEA = 0.069, SRMR = 0.059. Thus, H[subscript 1] and H[subscript 2] were confirmed on the positive effect of social support at work, [beta] = 0.27, p < 0.001, and the negative effect of workload, [beta] = -0.28, p < 0.001 in satisfaction with life. Likewise, the t values of the beta regression coefficients of the predictor variables were highly significant (p < 0.01). It was concluded that social support at work and an adequate workload predict a better level of satisfaction with life in a sample of Peruvian teachers.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1401450
Database: ERIC
Description
Abstract:The repercussions of the coronavirus disease (COVID-19) have generated effects on the working modality of teachers, in whom it is convenient to study variables associated with well-being. The objective with this research was to determine whether social support at work and workload predict satisfaction with life in a sample of Peruvian teachers. The methodology was a predictive and cross-sectional study, carried out on 584 Peruvian teachers of both genders selected in a non-probabilistic way; to whom the social support scale at work, the workload scale and the life satisfaction scale were applied. The survey was carried out virtually, and descriptive statistics, Pearson's correlation coefficient and structural equation modelling (SEM) were conducted to examine the hypothetical model. In the analysis of the proposed model, an adequate fit was obtained, X[superscript 2] (116) = 435.5, p < 0.001, CFI = 0.963, RMSEA = 0.069, SRMR = 0.059. Thus, H[subscript 1] and H[subscript 2] were confirmed on the positive effect of social support at work, [beta] = 0.27, p < 0.001, and the negative effect of workload, [beta] = -0.28, p < 0.001 in satisfaction with life. Likewise, the t values of the beta regression coefficients of the predictor variables were highly significant (p < 0.01). It was concluded that social support at work and an adequate workload predict a better level of satisfaction with life in a sample of Peruvian teachers.
ISSN:0256-0100
2076-3433