Using meta-analysis under conditions of definitional ambiguity: the case of corporate crime |
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Authors: | M. Rorie M. Alper N. Schell-Busey S. S. Simpson |
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Affiliation: | 1. Department of Criminal Justice, University of Nevada, Las Vegas, Las Vegas, NV, USAmelissa.rorie@unlv.edu;3. Bureau of Justice Statistics, Washington, DC, USA;4. Department of Law and Justice Studies, Rowen University, Glassboro, NJ, USA;5. Department of Criminology and Criminal Justice, University of Maryland, College Park, College Park, MD, USA |
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Abstract: | Given the reliance on meta-analyses to produce criminal justice policy recommendations, it is important to think critically about how this method is being applied in practice. In this study, we use data from a meta-analysis of corporate crime deterrence to demonstrate that applying meta-analytic methods to conceptually ambiguous research domains is problematic. Although meta-analysis is capable of modeling methodological variations in different research projects examining the same construct, analysts should not assume that meta-analytic methods are always appropriate; methodological differences may reflect underlying conceptual dissimilarities – this violates an assumption of meta-analysis. We also offer a critique of the corporate crime field for failing to clearly define its outcome, a critique that can be extended to other areas of criminological study. |
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Keywords: | Corporate crime deterrence meta-analysis regulation white-collar crime |
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