Overview
Emphasizes and illustrates how different types of criminal justice research influence the outcome of statistical results
Utilizes real-life examples of criminal justice research
Rich pedagogical aids, including introductory chapter openers, running glossary, chapter summaries, and exercises applicable to the criminal justice field
Includes supplementary material: sn.pub/extras
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Table of contents (21 chapters)
Keywords
About this book
Statistics in Criminal Justice takes an approach that emphasizes the uses of statistics in research in crime and justice. This text is meant for students and professionals who want to gain a basic understanding of statistics in this field. The text takes a building-block approach, meaning that each chapter helps to prepare the student for the chapters that follow. It also means that the level of sophistication of the text increases as the text progresses. Throughout the text there is an emphasis on comprehension and interpretation, rather than computation. However, it takes a serious approach to statistics, which is relevant to the real world of research in crime and justice. This approach is meant to provide the reader with an accessible but sophisticated understanding of statistics that can be used to examine real-life criminal justice problems. The goal of the text is to give the student a basic understanding of statistics and statistical concepts that will leave the student with the confidence and the tools for tackling more complex problems on their own. Statistics in Criminal Justice is meant not only as an introduction for students but as a reference for researchers.
A number of changes have been made to the 3rd edition, including the following:
- Additional exercises at the end of each chapter
- Expanded computer exercises that can be performed in the Student Version of SPSS
- Extended discussion of multivariate regression models, including interaction and non-linear effects
- A new chapter on multinomial and ordinal logistic regression models, examined in a way that highlights comprehension and interpretation
- With the additional material on multivariate regression models, the text is appropriate for both undergraduate and beginning graduate statistics courses in criminal justice
Authors and Affiliations
About the authors
David Weisburd (Ph.D., Yale University) is a leading researcher and scholar in the field of criminal justice. He is Professor of Criminology at the Hebrew University Law School in Jerusalem and is a professor in the Department of Criminology and Criminal Justice at the University of Maryland. Professor Weisburd serves as a senior fellow at the Police Foundation in Washington DC, and is a member of the National Academy of Sciences Panel on Police Practices and Polices and the steering committee of the Campbell Crime and Justice Coordinating Group.
Chester Britt (Ph.D, University of Arizona) is a researcher and scholar in the field of criminology. He is Associate Professor in the Administration of Justice Department at Arizona State University West. Professor Britt is the editor for Justice Quarterly. He has published more than twenty scientific articles and book chapters on issues related to the demography of crime, criminal careers, criminal case processing, and statistics.
Bibliographic Information
Book Title: Statistics in Criminal Justice
Authors: David Weisburd, Chester Britt
DOI: https://doi.org/10.1007/978-0-387-34113-2
Publisher: Springer New York, NY
eBook Packages: Humanities, Social Sciences and Law, Social Sciences (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-34112-5Due: 14 March 2007
Softcover ISBN: 978-1-4419-4162-6Published: 29 October 2010
eBook ISBN: 978-0-387-34113-2Published: 25 February 2007
Edition Number: 3
Number of Pages: XVI, 674
Additional Information: Originally published by Wadsworth, 2003