Beschreibung:
Measuring Crime and Criminality focuses on how different approaches to measuring crime and criminality are used to test existing criminological theories
Introduction: The Measurement of Crime and Estimating Treatment Effects in Criminology, 1. The Self-Report Method and the Development of Criminological Theory, 2. Socially Desirable Response Bias in Criminology: An Example of Its Effect in Testing the Effects of Self-Control, 3. How Do We Measure the Severity of Crimes? New Estimates of the Cost of Criminal Victimization, 4. Communities and Crime Theories: Construct Validation Deficits, a Paucity of Comparisons, and a Boudon-Coleman Metamodel Resolution, 5. The Coming of a Networked Criminology?, 6. What Can Genetically Informed Research Tell Us about the Causes of Crime?, 7. Bounding Disagreements about Treatment Effects with an Application to Criminology, 8. Randomized Experiments and the Advancement of Criminological Theory, 9. Causal Inference via Natural Experiments and Instrumental Variables: The Effect of "Knifing Off" from the Past, 10. Criminal Career Research: A Statistical and Substantive Comparison of Growth Modeling Approaches, 11. Understanding Desistance: Theory Testing with Formal Empirical Models, 12. Meta-Analysis and the Relative Support for Various Criminological Theories, Contributors, Index