1. Anxiety, job satisfaction, supervisor support and turnover intentions of mid‐career nurses: A structural equation model analysis.
- Author
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Modaresnezhad, Minoo, Andrews, Martha C., Mesmer‐Magnus, Jessica, Viswesvaran, Chockalingam, and Deshpande, Satish
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STRUCTURAL equation modeling , *SOCIAL support , *CROSS-sectional method , *FAMILY conflict , *DISCRIMINANT analysis , *LABOR turnover , *SURVEYS , *JOB satisfaction , *HYPOTHESIS , *FACTOR analysis , *ANXIETY , *SUPERVISION of employees , *DATA analysis software , *STATISTICAL correlation , *INVECTIVE ,RESEARCH evaluation - Abstract
Aims: To explore the effects of four predictors of anxiety (work constraints, work/family conflict, verbal abuse and negative team orientation) among nurses and their subsequent effects on job satisfaction and turnover intentions; and to examine the moderating effect of supervisor support on the relationship between job satisfaction and turnover intentions. Background: Work‐related anxiety is a well‐known predictor of employee burnout. Research suggests the prevalence of stress in the workplace varies by occupation, with stress among nurses one of the highest. Methods: We employed data from the 2015 national survey of licensed registered nurses (n=1,080). We assessed the conceptual model using partial least squares structural equation modeling (PLS‐SEM). Results: Work constraints, work/family conflict, and negative team orientation lead to anxiety, which diminished job satisfaction and ultimately increased turnover intentions. Supervisor support weakened the job dissatisfaction–turnover relationship. Conclusions: These findings suggest that the common experiences reported by health care professionals lead to anxiety and ultimately turnover intentions and emphasize the role of supervisor support. Implications for Nursing Management: The supervisor's role is crucial to the implications of workplace‐generated anxiety for nurse job satisfaction and turnover intentions. As such, nurse managers need to develop tangible strategies to help nurses navigate these contextual constraints. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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