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European City Homicide Rates: A Comparison of OLS Regression and Hierarchical Linear Modeling Techniques

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Abstract:

The present study compares methodological techniques to examine the variation in homicide rates across a sample of European cities and to determine the extent to which the countries’ level of development affects those city-level homicide rates. We compare substantive findings derived by applying two statistical techniques—ordinary least squares regression and multi-level modeling—to homicide rates for 112 European cities circa 2001. Results using both techniques identified classic covariates—economic deprivation and population structure—as important and robust predictors of homicide rates. In addition, the country’s level of development is related to the city-level homicide rates. Mixed support was found for an association between homicide and unemployment rates, youth population, or population heterogeneity (non-European Union nationals). Finally, we assess the relative merits and shortcomings of the two techniques as well as the implications on the substantive findings derived from these techniques.
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Association:
Name: ASC Annual Meeting
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http://www.asc41.com


Citation:
URL: http://citation.allacademic.com/meta/p270008_index.html
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MLA Citation:

McCall, Patricia., Engen, Rodney. and Nieuwbeerta, Paul. "European City Homicide Rates: A Comparison of OLS Regression and Hierarchical Linear Modeling Techniques" Paper presented at the annual meeting of the ASC Annual Meeting, St. Louis Adam's Mark, St. Louis, Missouri, Nov 12, 2008 <Not Available>. 2014-11-30 <http://citation.allacademic.com/meta/p270008_index.html>

APA Citation:

McCall, P. L., Engen, R. L. and Nieuwbeerta, P. , 2008-11-12 "European City Homicide Rates: A Comparison of OLS Regression and Hierarchical Linear Modeling Techniques" Paper presented at the annual meeting of the ASC Annual Meeting, St. Louis Adam's Mark, St. Louis, Missouri <Not Available>. 2014-11-30 from http://citation.allacademic.com/meta/p270008_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Abstract: The present study compares methodological techniques to examine the variation in homicide rates across a sample of European cities and to determine the extent to which the countries’ level of development affects those city-level homicide rates. We compare substantive findings derived by applying two statistical techniques—ordinary least squares regression and multi-level modeling—to homicide rates for 112 European cities circa 2001. Results using both techniques identified classic covariates—economic deprivation and population structure—as important and robust predictors of homicide rates. In addition, the country’s level of development is related to the city-level homicide rates. Mixed support was found for an association between homicide and unemployment rates, youth population, or population heterogeneity (non-European Union nationals). Finally, we assess the relative merits and shortcomings of the two techniques as well as the implications on the substantive findings derived from these techniques.


Similar Titles:
Homicide Rates and European Union Enlargement: An Analysis of Ten Eastern European Countries

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Coupling Longitudinal Data and Hierarchical Linear Modeling to Examine the Antecedents and Consequences of Jealousy Experiences in Romantic Relationships: A Test of the Relational Turbulence Model

Hierarchical Linear Modeling (HLM) Analysis of Student Growth in Secondary Education Mathematics: A School-Based Application of Growth Modeling


 
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