Social support at work and workload as predictors of satisfaction with life of Peruvian teachers

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, X² (116) = 435.5, p < .001, CFI = .963, RMSEA = .069, SRMR = .059. Thus, H₁ and H₂ were confirmed on the positive effect of social support at work, B = .27, p < .001, and the negative effect of workload, B = -.28, p < .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.