Overview
- Written for use as a classroom text and suitable as a reference for researchers
- Emphasizes and illustrates how different types of criminal justice research influence the outcome of statistical results
- Uses real-life examples of criminal justice research
- Includes running glossary, chapter summaries, and exercises applicable to the criminal justice field
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This book provides the student, researcher or practitioner with the tools to understand many of the most commonly used advanced statistical analysis tools in criminology and criminal justice, and also to apply them to research problems.
The volume is structured around two main topics, giving the user flexibility to find what they need quickly. The first is “the general linear model” which is the main analytic approach used to understand what influences outcomes in crime and justice. It presents a series of approaches from OLS multivariate regression, through logistic regression and multi-nomial regression, hierarchical regression, to count regression. The volume also examines alternative methods for estimating unbiased outcomes that are becoming more common in criminology and criminal justice, including analyses of randomized experiments and propensity score matching. It also examines the problem of statistical power, and how it can be used to better designstudies. Finally, it discusses meta analysis, which is used to summarize studies; and geographic statistical analysis, which allows us to take into account the ways in which geographies may influence our statistical conclusions.
Authors and Affiliations
About the authors
David Weisburd is a leading researcher and scholar in criminology and criminal justice. He is Distinguished Professor of Criminology, Law and Society at George Mason University in Virginia and Walter E. Meyer Professor of Law and Criminal Justice at the Hebrew University of Jerusalem. Professor Weisburd has received many awards and prizes for his contributions to criminology and criminal justice including the Stockholm Prize in Criminology and the Sutherland and Vollmer Awards from the American Society of Criminology.
Chester Britt was a leading researcher and scholar in the field of criminology. During his career, he taught at a number of universities and led departments at Northeastern University, Arizona State University, and the University of Iowa. His research addressed theories of criminal behavior and victimization, demography of crime and criminal careers, criminal justice decision-making, and quantitative research methods.David Wilson is a Professor in the Criminology, Law and Society Department at George Mason University in Virginia. He is a leading statistician in the field of criminology and was the recipient of the Mosteller Award from the Campbell Collaboration for his contributions to the science of systematic review and meta-analysis.
Alese Wooditch is an Assistant Professor of Criminal Justice at Temple University. She received her PhD from George Mason University. Professor Wooditch has worked in the area of innovative spatial statistical analyses and has contributed to a number of research programs focusing on crime prevention and Agent-Based Modeling.
Bibliographic Information
Book Title: Advanced Statistics in Criminology and Criminal Justice
Authors: David Weisburd, David B. Wilson, Alese Wooditch, Chester Britt
DOI: https://doi.org/10.1007/978-3-030-67738-1
Publisher: Springer Cham
eBook Packages: Law and Criminology, Law and Criminology (R0)
Copyright Information: Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-67737-4Published: 22 October 2021
Softcover ISBN: 978-3-030-67740-4Published: 23 October 2022
eBook ISBN: 978-3-030-67738-1Published: 21 October 2021
Edition Number: 5
Number of Pages: IX, 550
Number of Illustrations: 58 b/w illustrations, 10 illustrations in colour
Topics: Criminology and Criminal Justice, general, Statistics for Social Sciences, Humanities, Law