A Review and Analysis of the Impact of Homicide Measurement on Cross-National Research

IF 6.3 1区 社会学 Q1 CRIMINOLOGY & PENOLOGY
Meghan L. Rogers, W. Pridemore
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引用次数: 7

Abstract

The number of cross-national homicide studies is increasing rapidly. Many scholars, however, do not consider the details of how individual nations and the four main centralized homicide data sources—raw estimates from the World Health Organization (WHO) Mortality Database, adjusted estimates from the WHO Global Health Observatory, United Nations Office on Drugs and Crime, and World Bank World Development Indicators—generate national homicide rates and the impact this may have on results and the scientific record. We tested whether homicide trends, levels, and structural covariates are dependent on data source. We used 1990–2018 data in 5-year groupings and pooled them over time and nation. We utilized exploratory data analysis techniques to look for differences in homicide rates and trends. Then we employed seemingly unrelated regression (SUR) to determine whether associations with homicide of typical structural covariates were dependent on homicide data source. Finally, we examined Wald Tests to determine whether differences in the sizes of the SUR coefficients from each data source were significantly different from zero. We found differences in homicide trends and rates by data source and that associations with homicide rates of structural covariates varied in significance, magnitude, and even direction depending on homicide data source. Cross-national homicide research has a promising future for understanding short- and long-term global and regional trends and population-level covariates and constructing theoretical explanations for geographical and temporal variation. However, researchers must better understand how national homicide data are generated by nations and these four data sources. All four systems possess limitations, but homicide data from the WHO Mortality Database present the most attractive option. Expected final online publication date for the Annual Review of Criminology, Volume 6 is January 2023. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
凶杀测量对跨国研究影响的回顾与分析
跨国凶杀案研究的数量正在迅速增加。然而,许多学者没有考虑个别国家和四个主要集中的杀人数据来源(世界卫生组织死亡率数据库的原始估计、世界卫生组织全球卫生观察站的调整估计、联合国毒品和犯罪问题办公室和世界银行世界发展指标)如何产生国家杀人率的细节,以及这可能对结果和科学记录产生的影响。我们检验了杀人趋势、水平和结构协变量是否依赖于数据源。我们将1990年至2018年的数据按5年分组,并按时间和国家汇总。我们利用探索性数据分析技术来寻找凶杀率和趋势的差异。然后,我们采用看似不相关回归(SUR)来确定典型结构协变量与杀人的关联是否依赖于杀人数据源。最后,我们检查了Wald检验,以确定每个数据源的SUR系数大小的差异是否显著不同于零。我们发现,不同的数据来源在杀人趋势和比率上存在差异,而与杀人率相关的结构性协变量在重要性、幅度甚至方向上都因杀人数据来源而异。跨国杀人研究对于理解短期和长期的全球和区域趋势以及人口水平的协变量以及构建地理和时间变化的理论解释具有广阔的前景。然而,研究人员必须更好地了解国家杀人数据是如何由国家和这四个数据源产生的。所有四种系统都有局限性,但来自世卫组织死亡率数据库的杀人数据是最有吸引力的选择。预计《犯罪学年度评论》第6卷的最终在线出版日期是2023年1月。修订后的估计数请参阅http://www.annualreviews.org/page/journal/pubdates。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Annual Review of Criminology
Annual Review of Criminology CRIMINOLOGY & PENOLOGY-
CiteScore
11.30
自引率
2.90%
发文量
35
期刊介绍: The Annual Review of Criminology provides comprehensive reviews of significant developments in the multidisciplinary field of criminology, defined as the study of both the nature of criminal behavior and societal reactions to crime.
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