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Measuring Crime and Criminality focuses on how different approaches to measuring crime and criminality are used to test existing criminological theories. Each chapter reviews a key approach for measuring criminal behaviour and discusses its strengths or weaknesses for explaining the facts of crime or answers to central issues of criminological inquiry. The book describes the state of the field on different approaches for measuring crime and criminality as seen by prominent scholars in the field. Among the featured contributions are: The Use of Official Reports and Victimization Data for Testing Criminological Theories; The Design and Analysis of Experiments in Criminology; and Growth Curve/Mixture Models for Measuring Criminal Careers. Also included are papers titled: Counterfactual Methods of Causal Inference and Their Application to Criminology; Measuring Gene-Environment Interactions in the Cause of Antisocial Behaviour and What Has Been Gained and Lost through Longitudinal Research and Advanced Statistical Models? This volume of Advances in Criminological Theory illustrates how understanding the various ways criminal behaviour is measured is useful for developing theoretical insights on the causes of crime.
This volume investigates how diverse methodological approaches to measuring crime and criminality serve to validate or challenge established criminological theories. John Macdonald, a scholar in the field, compiles contributions from prominent researchers to evaluate the efficacy of various data collection and analytical techniques. The text provides a systematic review of how specific metrics—ranging from official reports to longitudinal modeling—shape the current understanding of criminal behavior and its underlying causes.
What You Will Find
Experts identify this volume as a technical resource for researchers and graduate students focused on the intersection of statistics and criminal justice theory. Readers frequently note the academic density of the prose, which assumes a foundational understanding of research design and quantitative analysis.
Page Count:
0
Publication Date:
2017-01-01
Publisher:
Taylor & Francis Group
ISBN-10:
0203785991
ISBN-13:
9780203785997
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