Designed for students with little or no familiarity with statistics, this text presents clear explanations for underlying concepts of statistical inference and hypothesis testing, and features step-by- step demonstrations of common statistical procedures used in criminal justice research. Excel application exercises allow students to visualize the processes of statistical calculations and to perform advanced statistical techniques using the function wizard and data analysis tool. Other learning features include boxes introducing statistical techniques for addressing specific research problems, boxes requiring students to perform different statistical tests, key terms, and problem sets. Proctor teaches statistics at Indiana University. Badzinski teaches statistics and communications. Annotation copyrighted by Book News, Inc., Portland, OR.

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.

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).

"...It is a great textbook for undergrads who are being exposed to statistics in the field for the first time and for Master’s students who need a better grasp of the fundamentals of statistics before taking more advanced courses..." —Calli M. Cain, University of Nebraska at Omaha "A must-have textbook for Instructors and students alike in the fields of Criminology and Criminal Justice. The book is user-friendly." —Bonny Mhlanga, Western Illinois University An Introduction to Statistics in Criminology and Criminal Justice Statistics for Criminology and Criminal Justice, Third Edition demonstrates how statistics is relevant to a student’s life and future career by illustrating the logical connections between basic statistical concepts and their real-world implications in criminology and criminal justice. Written for students with a limited mathematical background, author Jacinta Gau eases student anxiety around statistics by simplifying the overarching goal of each statistical technique and providing step-by-step instructions for working through the formulas and numbers. Students use real data from the field to build a foundational knowledge of statistics, rather than merely memorizing key terms or formulas. New to the Third Edition NEW Thinking Critically feature encourages students to apply the concepts from the chapter to real-life scenarios, with open-ended questions that are designed to inspire students to think about the nuances of science, statistics, and their application to criminal justice. Additional illustrations and examples in every chapter keep students engaged with the content and offer ample opportunities for them to practice the techniques. New and updated data sets from a wide range of relevant sources, such as the NCVS and UCR, BJS, LEMAS, the Census of Jails, and much more have been incorporated to give students insights into the state of criminal justice research today. New research on critical topics encourages students to discuss changes happening in the field such as the Census of Jails, inmate-on-staff assaults in prisons, and homicide rates. Practicing Statistics Whiteboard Videos, available in SAGE edge, walk students through statistical calculations to reinforce key concepts. Previous edition errors have been corrected by a statistician. Give your students the SAGE edge! SAGE edge offers a robust online environment featuring an impressive array of free tools and resources for review, study, and further exploration, keeping both instructors and students on the cutting edge of teaching and learning.

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.

Designed for the introductory-level statistics course in criminology, criminal justice, sociology and related social sciences, this text is adapted from Walker's Statistics in Criminology and Criminal Justice, Third Edition. Understanding Statistics provides a solid overview of the subject by taking the basic elements from the chapters covering univariate, bivariate, and inferential statistics while retaining the foundational discussions and interpretations. The material is presented in a clear and easy-to-understand format and focuses on calculating the basic formulas in statistics yet preserves enough advanced material to prepare students for further study.Understanding Statistics boasts a variety of in-text study aids, such as key terms, equation summaries, exercises, end-of-chapter references, and suggested readings; as well as a collection of online study tools housed on the dedicated student companion website. The student-friendly presentation of the material coupled with the rich variety of student and instructor resources make Understanding Statistics the ideal introductory statistics text for undergraduate students!Every new printed copy is packaged with full student access to the student companion website featuring a a rich variety of study tools! (eBook version does not include access to the student companion website. Standalone access can be purchased here http://www.jblearning.com/catalog/9781449649234/)The latest version of SPSS 18.0 is available as a bundle.Instructor Resources:-Microsoft PowerPoint lecture slides-Instructor manual with answers to the exercises and pre-tests-Microsoft Excel and SPSS data sets-Test BankStudent Resources:-Microsoft and Excel SPSS data sets-Companion website featuring:*interactive flashcards*interactive glossary*mutliple choice questions*fill-in-the-blank questions*practice quiz (with answers)*pre-tests (with answers)*tests (with answers)*student data sets, in Excel and SPSS, that correlate to the chapter material*weblinks*suggested further reading