Impact of Job Satisfaction and Perceived Stress Reduction on Work Performance of Secondary School Teachers in Plains of Uttarakhand

Abstract

This research investigates the interplay among job satisfaction (JS), perceived stress/Perceived stress reduction (PS), and workplace performance (WP) among secondary school teachers in the plains of Uttarakhand, India, utilizing a robust empirical framework to understand how these factors influence teacher effectiveness. The study is grounded in the Job Demands-Resources (JD-R) model and Perceived stress reduction literature, addressing the critical role of teachers in shaping educational outcomes and the unique challenges they face in resource-constrained environments. With a sample of 430 teachers, the research employs Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modelling (SEM) to test hypothesized relationships, offering insights into how job satisfaction and perceived stress can enhance teacher performance in a developing educational context. newlineThe teaching profession is recognized as a cornerstone of societal development, with teachers serving as key influencers of academic and moral growth. However, their performance is shaped by multiple factors, including job satisfaction, stress levels, and workplace environment. This study specifically examines how JS influences WP, with PS as a mediator, focusing on secondary school teachers in Uttarakhand, where challenges such as resource scarcity, large class sizes, and administrative burdens are prevalent. Drawing on Herzberg s Two-Factor Theory and the JD-R model, the research posits that job satisfaction, as a resource, fosters Perceived stress reduction, which in turn enhances workplace performance by enabling teachers to engage in collaborative and innovative behaviours. newlineData were collected using a survey with 12 items measuring JS (JS1 JS4), PS (PS1 PS4), and WP (WP1 WP4) on a 5-point Likert scale. The sample size (N = 430) met SEM requirements, ensuring stable parameter estimates.