Advanced Statistics in Criminology and Criminal Justice

This book is a valuable resource for students, researchers, and practitioners in criminology and criminal justice, providing them with the tools to understand and apply advanced statistical analysis tools to research problems. It covers the general linear model, alternative methods for estimating unbiased outcomes, statistical power, meta analysis, and geographic statistical analysis.

Format: Hardback
Length: 550 pages
Publication date: 22 October 2021
Publisher: Springer Nature Switzerland AG

This comprehensive book is a valuable resource for students, researchers, and practitioners in the field of criminology and criminal justice. It offers a thorough understanding of numerous advanced statistical analysis tools commonly used in this domain, enabling users to apply them to address research problems effectively.

The book is organized into two main sections, providing flexibility in navigating the content. The first section focuses on "the general linear model," which serves as the primary analytic approach used to examine the factors that influence outcomes in crime and justice. It presents a comprehensive range of approaches, including ordinary least squares (OLS) multivariate regression, logistic regression, multi-nomial regression, hierarchical regression, and count regression. These methods allow for a detailed analysis of the relationships between various variables and their impact on criminal behavior.

In addition to the general linear model, the book also explores alternative methods for estimating unbiased outcomes, which are becoming increasingly important in criminology and criminal justice. These methods include analyses of randomized experiments and propensity score matching, which help mitigate the potential biases inherent in observational studies. The volume also delves into the issue of statistical power, discussing how it can be used to design studies that are more likely to yield significant findings.

Furthermore, the book discusses meta-analysis, a powerful tool for summarizing studies and combining the results of multiple research studies. It enables users to draw broader conclusions and identify patterns across different research contexts. Additionally, the book explores geographic statistical analysis, which takes into account the spatial distribution of crime and other relevant factors and how they may influence statistical conclusions.

By providing a comprehensive and accessible guide to advanced statistical analysis tools, this book empowers students, researchers, and practitioners to enhance their understanding of the complex dynamics of crime and justice. It equips them with the skills necessary to analyze data, draw meaningful conclusions, and contribute to the field's ongoing research efforts.

Weight: 1237g
Dimension: 254 x 178 (mm)
ISBN-13: 9783030677374
Edition number: 5th ed. 2022