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Abstract
There is a lack of intricate research into the relationships between work performance and other variables. This study examined the causal relationship between work, non-work stressors, and work performance. Using longitudinal multi-group data from three groups—university staff, trainee nurses, and part-time employees (overall N=244)—structural equation modelling was employed to explore one-way and reverse competing models. The results produced a good fitting model with one-way causal paths from work-related and non-work stressors (time 1) to job performance (time 2). Nested model comparison analysis provided further evidence to support this best fitting model, emphasizing the strong influence that non-work factors have within the workplace. This study has important implications for theory, methodology and statistical analysis, and practice in the field of work-related stressors and performance.