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Predictors of Staff Turnover and Turnover Intentions within Addiction Treatment Settings: Change over Time Matters:

机译:上瘾治疗设置中员工流失和离职意图的预测因素:时间变化问题:

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This study examined the extent to which changes over time in clinicians’ responses to measures of work attitude (eg, job satisfaction) and psychological climate (eg, supervisor support) could predict actual turnover and turnover intentions above and beyond absolute levels of these respective measures. Longitudinal data for this study were collected from a sample of clinicians (N = 96) being trained to implement an evidence-based treatment for adolescent substance use disorders. Supporting findings from a recent staff turnover study, we found job satisfaction change was able to predict actual turnover above and beyond average levels of job satisfaction. Representing new contributions to the staff turnover literature, we also found that change over time in several other key measures (eg, job satisfaction, role manageability, role clarity) explained a significant amount of variance in turnover intentions above and beyond the absolute level of each respective measure. A key implication of the current study is that organizations seeking to improve their ability to assess risk for staff turnover may want to consider assessing staff at multiple points in time in order to identify systematic changes in key employee attitudes like turnover intentions and job satisfaction.
机译:这项研究调查了临床医生对工作态度(例如,工作满意度)和心理氛围(例如,上司的支持)的反应随时间变化的程度,可以预测实际的离职和离职意图,超出或超过这些措施的绝对水平。该研究的纵向数据是从接受过培训以实施基于证据的青少年物质使用障碍治疗的临床医生样本(N = 96)中收集的。支持一项来自最近员工流动率研究的发现,我们发现工作满意度的变化能够预测高于平均水平的工作满意度的实际流动率。代表了对人员更替文献的新贡献,我们还发现,随着时间的推移,其他几个关键指标(例如,工作满意度,角色可管理性,角色清晰性)的变化也说明了员工离职意图的显着差异(超出绝对值)各自的措施。当前研究的关键意义在于,寻求提高其评估员工离职风险的能力的组织可能希望考虑在多个时间点评估员工,以便识别关键员工态度(如离职意图和工作满意度)的系统性变化。

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