Statistics For Criminal Justice And 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.

Criminal Justice / Law Enforcement

Using Statistics in Criminal Justice is designed to be an accessible, readable introduction to statistics, written with the criminal justice student in mind. The text teaches students not only how to engage in basic statistical analysis, but, more importantly, how they might use statistics in real and helpful ways. The book is designed for students to understand that statistics is a mechanism by which we take a picture of the world around us. Murray starts by taking students through the steps of creating a rough outline with basic descriptive statistics, then moves to providing more detail and clarity with sampling and inferential statistics. Finally, the author explains using multivariate techniques to fill in the details of the picture, making it more and more indicative of reality. Features: Carefully structured text provides an overview of concepts for each chapter, and explains how concepts in the book interrelate. Multiple examples for each analysis Practice questions at the end of each chapter Clearly ties in theory, methods and statistics , linking concepts from other courses Gives numerous step-by-step examples of analyses Information on how to use in a variety of software: STATA, SPSS and Excel to better accommodate various approaches Conversational tone with real world examples Application to professionals in criminal justice, not just undergraduate students Chapter on Evaluation Research gives students more marketable skills Workbook will be available on line with additional practice problems to use with statistical software

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).

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.

Statistics for Criminal Justice and Criminology in Practice and Research 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.

Statistics in Criminology and Criminal Justice, Fifth Edition is the ideal text for undergraduate and graduate-level statistics courses in criminal justice, criminology, and sociology programs. It teaches students how to collect, organize and record, analyze, interpret, and apply the statistical information.