Quantitative analysis evaluates how work stressors affect job performance, highlighting significant relationships.
The aim of the research is to determine the extent of the relationship and frequency of Work Stress on job Performance Context of Simple Linear Regression Analysis, Analysis of Variance (ANOVA), Statistics Trial analysis (T) analysis of the analytical samples and Pearson correlation were applied to analyze the results. The study relied on the quantitative approach. A descriptive research design was used, consisting of 80 samples of Aydin University students working in different sectors. Participants were selected using a questionnaire, various types Statistical tools such as percentage analysis were used T-test, Descriptive Statistics, correlation, Model Summary, Anova, and Coefficients, It was the analysis Implementation was carried out using SPSS, factor analysis, independent samples t-test and Pearson correlation analysis were applied to analyze the data obtained using the questionnaire, The research resulted that there is an effect of the dependent variables (workload pressures, job security pressures, and shift work pressures) on the independent variable (job performance) and we can predict the dependent variable through the independent variables hypothesis, The study also found that the independent variables explained (.14%) of the variation occurring in job performance. The ANOVA analysis revealed that the regression was significant, and the dependent variables (Constant, Workload Stress, Job Security Stress, Shift Work Stress) had an influence on the independent variable (Job Performance). Article visualizations:
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Alramali et al. (2025) studied this question.
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