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An Empirical Assessment of the Sources of Police Job Satisfaction
Police Quarterly ( IF 2.9 ) Pub Date : 2019-09-16 , DOI: 10.1177/1098611119875117
Eugene A. Paoline 1 , Jacinta M. Gau 1
Affiliation  

Dissatisfied workers are at risk for negative occupational behaviors such as job turnover, poor performance, work avoidance, decreased morale among coworkers, and physical or legal liability. Relying heavily on demographic (e.g., sex, race, education) and occupational (e.g., rank, experience, assignment) explanatory factors, early empirical studies failed to effectively model the statistical correlates of police officer job satisfaction. Recent inquiries have found more success in explaining the variation in job satisfaction by examining a variety of work-related attitudes. The current study adds to this burgeoning area of research by assessing the role of internal and external dimensions of the work environment, as well as views of fairness and effectiveness, on the job satisfaction of police officers. Based on survey data from a midsized municipal police department in Florida, the multivariate analysis reveals a number of successful predictors of job satisfaction, especially for those officers with a street-level assignment. A second analysis, based on qualitative coding of open-ended survey questions, finds differences in positive and negative features of the occupation across varying levels of satisfied and dissatisfied respondents. Implications of these findings for police practitioners and researchers are discussed.

中文翻译:

警察工作满意度来源的实证评估

不满意的工人面临负面职业行为的风险,例如工作流失,绩效差,避免工作,同事士气低落以及身体或法律责任。早期的实证研究严重依赖人口统计学(例如性别,种族,教育程度)和职业(例如等级,经验,任务)的解释因素,未能有效地模拟警察工作满意度的统计相关性。最近的调查发现,通过检查各种与工作相关的态度,可以更成功地解释工作满意度的变化。当前的研究通过评估工作环境的内部和外部维度的作用,以及对警察工作满意度的公正性和有效性的观点,为这一新兴的研究领域增色添彩。根据佛罗里达州一个中型市警察局的调查数据,多变量分析揭示了许多成功的工作满意度预测指标,尤其是对于那些在街头任职的警官而言。根据开放式调查问题的定性编码进行的第二次分析发现,在不同水平的满意和不满意的受访者中,职业的积极和消极特征存在差异。讨论了这些发现对警务人员和研究人员的影响。在不同水平的满意和不满意的受访者中发现职业的正面和负面特征的差异。讨论了这些发现对警务人员和研究人员的影响。在不同水平的满意和不满意的受访者中发现职业的正面和负面特征的差异。讨论了这些发现对警务人员和研究人员的影响。
更新日期:2019-09-16
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