Statistics in Criminal Justice

The updated and expanded 3rd edition of Statistics in Criminal Justice introduces basic statistics and statistical concepts, tailored to the real world of crime and justice, with each chapter building in sophistication to prepare for the concepts that follow.

Statistics in Criminal Justice introduces basic statistics and statistical concepts in a building-block method with each chapter building in sophistication to prepare for the concepts that follow. While emphasizing comprehension and interpretation, rather than computation, the book takes a serious approach to statistics, which is tailored to the real world of crime and justice. This provides the reader with an accessible but sophisticated understanding of statistics as applied to real-life criminal justice problems. The updated and expanded 3rd edition includes additional chapter-end exercises; 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, designed for comprehension and interpretation; and additional material on multivariate regression models. The book is designed for undergraduate and beginning graduate statistics courses in criminal justice, and as a reference for researchers.

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

Autorentext

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.

Inhalt
Introduction: Statistics as a Research Tool.- Measurement: The Basic Building Block of Research.- Representing and Displaying Data.- Describing the Typical Case: Measures of Central Tendency.- How Typical Is the Typical Case?: Measuring Dispersion.- The Logic of Statistical Inference: Making Statements About Populations from Sample Statistics.- Defining the Observed Significance Level of a Test: A Simple Example Using the Binomial Distribution.- Steps in a Statistical Test: Using the Binomial Distribution to Make Decisions About Hypotheses.- Chi-Square: A Test Commonly Used for Nominal-Level Measures.- The Normal Distribution and Its Application to Tests of Statistical Significance.- Comparing Means and Proportions in Two Samples.- Comparing Means Among More Than Two Samples: Analysis of Variance.- Measures of Association for Nominal and Ordinal Variables.- Measuring Association for Interval-Level Data: Pearson's Correlation Coefficient.- An Introduction to Bivariate Regression.- Multivariate Regression.- Multivariate Regression: Additional Topics.- Logistic Regression.- Multivariate Regression with Multiple Category Nominal or Ordinal Measures: Extending the Basic Logistic Regression Model.- Special Topics: Confidence Intervals.- Special Topics: Statistical Power.