# Statistics in Criminal Justice (with Study Guide)

## David Weisburd; Chester Britt

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This text is written specifically for the criminal justice student and for student comprehension. Filled with examples and exercises pertinent for criminal justice students, the text assumes no previous exposure to statistics. It takes a research-oriented approach by focusing on teaching the student how to interpret, critique, research, and conduct basic statistical analyses. Statistics is the students' tool to answering questions.

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From the Back Cover:

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.

New to the 3rd Edition
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.

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. He is on the editorial board of a number of professional journals, including the Journal of Quantitative Criminology; the Journal of Research in Crime and Delinquency; Advances in Criminological Theory; and the Israel Law Journal. He has published ten books and more than fifty scientific articles. His most recent books are WHITE COLLAR CRIME AND CRIMINAL CAREERS (2001, Cambridge University Press), and SOCIAL ORGANIZATION AND CRIME (2002, Transaction Press).

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 serves on the editorial board 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. He is co-editor of a forthcoming ADVANCES IN CRIMINOLOGICAL THEORY volume titled CONTROL THEORIES OF CRIME AND DELINQUENCY.

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