Pisarski, A and Brook, C and Bohle, P and Gallois, C and Watson, B and Winch, S, Extending a model of shift-work tolerance, Chronobiology International: The Journal of Biological and Medical Rhythm Research, 23, (6) pp. 1363-1377. ISSN 0742-0528 (2006) [Refereed Article]
The present study contributes to theory and practice through the development of a model of shift-work tolerance with the potential to indicate interventions that reduce nurses' intention toward turnover and increase job satisfaction in hospital-based settings. Survey data from 1257 nurses were used to conduct structural equation modeling that examine the direct and indirect effects of supervisor and colleague support, team identity, team climate, and control over working environment on time-based work/life conflict, psychological well-being, physical symptoms, job satisfaction, and turnover intention. The analysis of the proposed model revealed a good fit The chi-square difference test was non-significant (chi2(26) = 338.56), the fit indices were high (CFI = .923, NFI = .918, and NNFI = .868), the distribution of residuals was symmetric and approached zero, the average standardized residual was low (AASR = .04), and the standardized RMR was .072. In terms of the predictor variable, the final model explained 48% of the variance in turnover intention. The data revealed considerable evidence of both direct effects on adjustment and complex indirect links between levels of adjustment and work-related social support, team identity, team climate, and control. Nurses with high supervisor and coworker support experienced more positive team climates, identified more strongly with their team, and increased their perceptions of control over their work environment. This in turn lowered their appraisals of their time-based work/life conflict, which consequently increased their psychological well-being and job satisfaction and reduced their physical health symptoms and turnover intention. The type of shift schedule worked by the nurses influenced levels of turnover intention, control over work environment, time-based work/life conflict, and physical symptoms.