Advancing Quantitative Methods in Criminology and Criminal Justice is designed to promote the understanding of various quantitative research methods and to encourage their use among those seeking answers to questions about crime and justice. To this end a number of top scholars have been assembled to provide their insights on a variety of 'cutting edge' quantitative research techniques. The chapters that appear delve into the state of quantitative methods in the discipline, group-based trajectory modeling, spatial dependence models, structural equation models, meta-analysis, social network designs, panel data modeling, and censored regression techniques. This book will be highly beneficial for readers who seek to stay as current as possible as they pursue answers to questions about crime and justice using quantitative research methods.
This book was originally published as a special issue of the Journal of Criminal Justice Education.
Introduction Travis C. Pratt 1. Using the group-based trajectory model to study crime over the life course Daniel S. Nagin and Alex R. Piquero 2. When space matters: Spatial dependence, diagnostics, and regression models Robert J. Fornango 3. Basic principles and practices of structural equation models in criminal justice and criminology research Jacinta M. Gau 4. Meta-analysis in criminal justice and criminology: What it is, when it’s useful, and what to watch out for Travis C. Pratt 5. An overview of social network analysis Jean Marie McGloin and David S. Kirk 6. A user-friendly introduction to panel data modelling John L. Worrall 7. Censored regression in response to the distributional realities of crime and justice measures Christopher J. Sullivan and Tara Livelsberger