Introductory Statistics For Criminal Justice And Criminology

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).

The updated Fourth 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 analysis. A great introduction to the theory and practice of statistics, the Fourth Edition focuses on data collection, knowing which statistics to use with what data, how to interpret output of SPSS (an IBM company), explanations and demonstrations of statistical procedures, why procedures give the results they do, how to interpret the output of statistical analyses, and more. Each chapter has been updated to include new information on statistical output, revised data files, additional data sets, and extensive use of flowcharts to increase students' confidence in analyzing and conducting statistical research.

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

Statistics in Criminal Justice and Criminology Research: An Introduction is for advanced undergraduate and graduate level students in criminology and criminal justice statistics courses. It is designed for students pursuing careers in criminology and/or criminal justice by adequately and evenly covering statistical research for both professions. The engaging writing style, real-life applications, and comprehensive format will distinguish this text from its competitors and help establish it as more than just another statistics book. Fitzgerald and Fitzgerald have teamed up to create a flexible and useful text that will not only meet the needs of criminal justiceiminology students but also provide motivation for students who have math anxiety yet strive to become criminal justice professionals.Features and Benefits:1) Frequent use of diagrams and graphs to illustrate ideas and procedures discussed in the text.2) Attention devoted to discussing 'conceptual' formulas and what they represent about the data to help students make sense of the results.3) Extensive sets of review questions and exercises at ends of chapters help students master the content presented. 4) Quotes from actual reports in 'From the Literature' boxes help connect the discussion of research methods and statistical analysis with the research process as a whole.5) 'Pause, Think and Explore' boxes follow the mathematical formulas and are intended to help students develop an understanding of how the formula works, gain confidence in working with the mathematics, and develop better insight about what the formulas are signaling about the data being analyzed.

The latest edition of this user-friendly statistics and data analysis text is enriched by updated material and the successful teaching and research experiences of the lead author and new coauthor, Kristie Blevins. Their goal is to help students understand the logic of statistical reasoning and expose them to a variety of research situations in the context of criminal justice. The authors present basic statistical principles and practices on which students build knowledge and data analysis skills. Both mathematical procedures and guidelines for using SPSS to manipulate information are included. Straightforward explanations and meaningful examples strengthen the concepts for those seeking a solid foundation for conducting scientific research and learning how to interpret and write up results. Multiple-choice questions and SPSS project assignments reinforce how statistical knowledge can be applied to the field of criminal justice. Introductory Criminal Justice Statistics and Data Analysis is an essential tool for criminal justice departments and programs wishing to build strong quantitative components in their curricula.