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Data Analysis in Criminal Justice and Criminology: History, Concept, and Application breaks down various data analysis techniques to help students build their conceptual understanding of key methods and processes. The information in the text encourages discussion and consideration of how and why data analysis plays an important role in the fields of criminal justice and criminology. The book is divided into three units. Unit 1 discusses how data analysis is us
Unique to the market, this user-friendly book offers a comprehensive introduction to data analysis in criminal justice and criminology. Ideal for readers with a limited math background, Data Analysis in Criminal Justice and Criminology offers a clear presentation of data analytic methodologies combined with examples, research, and exercises that foster active learning. Study questions and exercises throughout encourage readers to apply data analytic knowledge and skills, serving to engage student interest while preparing them for careers as practitioners. In addition, real-world examples of research studies show practical applications of text material, helping students to understand the relevance of statistics in criminal justice and criminology. For anyone interested in data analysis in criminology.
Statistics for Criminal Justice and Criminology in Practice and Research—by Jack Fitzgerald and Jerry Fitzgerald—is an engaging and comprehensive introduction to the study of basic statistics for students pursuing careers as practitioners or researchers in both Criminal Justice and Criminology programs. This student-friendly text shows how to calculate a variety of descriptive and inferential statistics, recognize which statistics are appropriate for particular data analysis situations, and perform hypothesis tests using inferential statistics. But it is much more than a "cook book." It encourages readers to think critically about the strengths and limitations of the statistics they are calculating, as well as how they may be misapplied and misleading. Examples of statistics and statistical analyses are drawn from the worlds of the practitioner as well as the policymaker and researcher. Students will also gain a clear understanding of major ethical issues in conducting statistical analyses and reporting results, as well as insight into the realities of the life of researchers and practitioners as they use statistics and statistical analyses in their day-to-day activities.
Thoroughly updated and revised, the Third Edition of Statistics in Criminology and Criminal Justice: Analysis and Interpretation provides criminal justice students with a firm knowledge base in the theory and application of statistical analyses. Students will be introduced to methods of identifying and classifying data, followed by explanations and demonstrations of statistical procedures. They will learn what statistical techniques are appropriate for particular data, why procedures give the results they do, and how to interpret the output of statistical analyses.
"New to this edition is the accompanying CD that contains five criminal justice data sets. Students use the data sets to answer the questions in end-of-chapter exercises and data analysis sections. These hands-on, real-world activities provide a variety of opportunities to use statistical tools and understand their applicability."--Back cover.
This book provides hands-on guidance for researchers and practitioners in criminal justice and criminology to perform statistical analyses and data visualization in the free and open-source software R. It offers a step-by-step guide for beginners to become familiar with the RStudio platform and tidyverse set of packages. This volume will help users master the fundamentals of the R programming language, providing tutorials in each chapter that lay out research questions and hypotheses centering around a real criminal justice dataset, such as data from the National Survey on Drug Use and Health, National Crime Victimization Survey, Youth Risk Behavior Surveillance System, The Monitoring the Future Study, and The National Youth Survey. Users will also learn how to manipulate common sources of agency data, such as calls-for-service (CFS) data. The end of each chapter includes exercises that reinforce the R tutorial examples, designed to help master the software as well as to provide practice on statistical concepts, data analysis, and interpretation of results. The text can be used as a stand-alone guide to learning R or it can be used as a companion guide to an introductory statistics textbook, such as Basic Statistics in Criminal Justice (2020).
Research Methods in Criminal Justice and Criminology connects key concepts to real field research and practices using contemporary examples and recurring case studies throughout the book that demonstrate how concepts relate to students’ lives. Authors Callie M. Rennison and Timothy C. Hart introduce practical research strategies used in criminal justice to show students how a research question can become a policy that changes or influences criminal justice practices. The book’s student-driven approach addresses both the "why" and the "how" as it covers the research process and focuses on the practical application of data collection and analysis. By demonstrating the variety of ways research can be used, and reinforcing the need to discern quality research, the book prepares students to become critical consumers and ethical producers of research. The Second Edition includes two new case studies woven throughout, and new expert profiles to highlight contemporary topics. Editable PowerPoint slides and a test bank are available to instructors.
In recent years, the fields of crime analysis and environmental criminology have grown in prominence for their advancements made in understanding crime. This book offers a theoretical and methodological introduction to crime analysis, covering the main techniques used in the analysis of crime and the foundation of crime mapping. Coverage includes discussions of: The development of crime analysis and the profession of the crime analyst, The theoretical roots of crime analysis in environmental criminology, Pertinent statistical methods for crime analysis, Spatio-temporal applications of crime analysis, Crime mapping and the intersection of crime analysis and police work, Future directions for crime analysis. Packed with case studies and including examples of specific problems faced by crime analysts, this book offers the perfect introduction to the analysis and investigation of crime. It is essential reading for students taking courses on crime analysis, crime mapping, crime prevention, and environmental criminology. A companion website offers further resources for students, including flashcards and video and website links. For instructors, it includes chapter-by-chapter PowerPoint slides.
This book is concept-based and focuses on the building blocks of statistical ideas. Covering the essential techniques—univariate tools, Chi-square, t-test, analysis of variance, and Pearson's r—in a simple conversational style, the text explains the concepts behind each technique and how results are interpreted. Its emphasis is on understanding over mathematical calculations, and its goal is to give students a grasp of the role of variance and error. A chapter on graphical statistics complements the normal quantitative approaches and each technique is set in the context of how it is used to answer research questions.
Applied Crime Analysis covers all aspects of crime analysis for private sector businesses including examining the frequency of crimes, the nature of these crimes, the day and time of the incident, the risk to a property and its inhabitants, and the objective analysis of preventative security measures in place. Applied Crime Analysis compares data sources used in conducting crime analysis and explores ways to organize statistical data, crime analysis methodologies, crime prevention theories, and methods of determining patterns and trends. By explaining the significance of crime statistics relative to crime prevention theory and techniques, the book provides readers with a clear, strategic plan to implement crime prevention programs and security resources. Discusses crime analysis techniques and theories in detail Covers all aspects of crime analysis for private sector businesses Uses fictional case studies found throughout chapters that help readers apply statistical data to practical, everyday use