Resilience and Perceived Organizational Support as Predictors of Psychological Well-Being among School Teachers

Abstract

: Teacher well-being is an important concern because teachers work within demanding professional, interpersonal and organizational environments. The present study examined whether resilience and perceived organizational support significantly predict psychological well-being among school teachers. A quantitative, cross-sectional correlational and predictive design was used. Data were collected from 110 school teachers through a structured online questionnaire. Resilience was assessed using the six-item Brief Resilience Scale, perceived organizational support using a nine-item shortened measure of perceived organizational support, and psychological well-being using the eight-item Flourishing Scale. Descriptive statistics, internal consistency reliability, Pearson product-moment correlations and multiple linear regression were used for analysis. The Brief Resilience Scale showed acceptable internal consistency (Cronbach’s α = .728), while the perceived organizational support measure (α = .866) and Flourishing Scale (α = . 938) demonstrated high internal consistency in the present sample. Resilience was positively related to psychological well-being, r = .387, p < .001, and perceived organizational support was also positively related to psychological well-being, r = .447, p < .001. Resilience and perceived organizational support were positively correlated, r = .366, p < .001. Multiple regression indicated that the two predictors jointly explained 25.7% of the variance in psychological well-being, F(2, 107) = 18.552, p < .001. Both resilience (B = 2.737, p = .005) and perceived organizational support (B = 2.225, p < .001) made significant positive contributions to the prediction of psychological well-being. The findings support an integrated personal-and-organizational resource perspective and have implications for counseling psychology, school leadership and teacher-support practices. Because the study was cross-sectional, the findings indicate statistical prediction and association rather than causation.