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Network Theory: Effectiveness of Social Media Networks Created by Sheriff Offices.

机译:网络理论:治安办公室创建的社交媒体网络的有效性。

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摘要

Police departments in the United States have struggled with ways to increase the involvement of their local community residents with law enforcement. Online social network web sites may be the new technological media method to achieve involvement of community residents with law enforcement agencies. Poor community involvement is centered on the problem of poor communication between community residents and sheriff offices. This quantitative hierarchical regression study was used to address the problem with an emphasis on social network theory. The effect of both frequency and quality of use of online social media on the dependent variables of crime solving and community relations, while controlling for population density and social economic status (SES), was employed. Based on a power analysis using hierarchical multiple linear regression analysis, assuming a medium effect size of 0.30, level of significance at 0.05, and four predictors (frequency of online social media use, quality of online social media use, county population density, and county SES), a sample size of 45 sheriff offices was needed. A sample of 52 provided sufficient data for the study. An on-line survey modeled after the validated International Association of Chiefs of Police (IACP) survey instrument was made available to the 75 county Arkansas sheriff offices. The predictor variable frequency accounted for a significant amount of the variation in both dependent variables. The predictor variable quality or variety of social media sources was not significant, so the null hypothesis was not rejected. However, more social media sources increase the significance of the frequency. Overall, Arkansas sheriffs supported the use of social media for both community relations and crime solving. Recommendations for future study would be a study replication of other states, population expansion, and consideration of other predictor or control variables evolving from research and theory.
机译:美国的警察部门一直在努力增加当地社区居民对执法的参与。在线社交网站可能是使社区居民参与执法机构参与的新技术媒体方法。社区参与不力集中在社区居民与警长办公室之间沟通不畅的问题上。该定量层次回归研究用于解决该问题,重点是社交网络理论。在控制人口密度和社会经济地位(SES)的同时,利用了网络社交媒体使用频率和质量对犯罪解决和社区关系因变量的影响。基于使用分层多元线性回归分析的功效分析,假设中等效应大小为0.30,显着性水平为0.05,并且有四个预测变量(在线社交媒体使用频率,在线社交媒体使用质量,县人口密度和县) SES)​​,需要有45个警长办公室的样本量。 52个样本为研究提供了足够的数据。根据经过验证的国际警察局长协会(IACP)调查工具建模的在线调查已提供给75个县的阿肯色州警长办公室。预测变量频率说明了两个因变量的显着变化。社交媒体来源的预测变量质量或多样性并不显着,因此零假设没有被拒绝。但是,更多的社交媒体来源增加了频率的重要性。总体而言,阿肯色州的治安官支持使用社交媒体进行社区关系和犯罪解决。未来研究的建议将是其他状态的研究复制,人口扩展以及考虑从研究和理论演变而来的其他预测变量或控制变量。

著录项

  • 作者

    Beshears, Michael L.;

  • 作者单位

    Northcentral University.;

  • 授予单位 Northcentral University.;
  • 学科 Sociology Criminology and Penology.;Sociology Theory and Methods.;Law.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 128 p.
  • 总页数 128
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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