Abstract Purpose While there has been a sizeable amount of research on identifying the correlates of citizen satisfaction with police agencies, that research has not been synthesized to identify patterns across different studies. This study presents the results of a meta-analysis that assessed the predictive strength of the most commonly included correlates of satisfaction with police. Methods An exhaustive search for studies on satisfaction with police produced 66 studies eligible for inclusion in the meta-analysis. Random effects models were conducted along with moderating analyses. Results Findings revealed that gender, race, age, fear of crime, and victimization were statistically significant predictors of satisfaction with police. Moderating analyses revealed that certain variables, Hispanic ethnicity, socioeconomic status, and perceptions of crime, while not significant in the main effect size analysis, were significant in the moderator analysis. Conclusions It is important that future research establishes a more standardized form of measurement for satisfaction, with the consideration that confidence and trust may operate as distinct constructs. Additionally, it is imperative to move beyond investigating demographic factors alone and instead focus on variables related to procedural justice, performance theory, and neighborhood context.

中文翻译：

---

公民对警察满意度的重要因素：荟萃分析

摘要 目的虽然已经有大量关于确定公民对警察机构满意度的相关性的研究，但尚未综合这些研究来确定不同研究的模式。本研究展示了一项荟萃分析的结果，该分析评估了最常见的警察满意度相关因素的预测强度。方法 对警察满意度研究的详尽搜索产生了 66 项符合纳入荟萃分析的研究。随机效应模型与调节分析一起进行。结果 调查结果显示，性别、种族、年龄、对犯罪的恐惧和受害是对警察满意度的统计显着预测因素。适度分析显示某些变量，西班牙裔种族，社会经济地位，对犯罪的看法虽然在主效应大小分析中不显着，但在调节分析中却显着。结论 重要的是，未来的研究建立一种更标准化的满意度测量形式，考虑到信心和信任可能作为不同的结构运作。此外，必须超越单独调查人口因素，而是关注与程序公正、绩效理论和邻里环境相关的变量。