Introductory Criminal Justice Statistics And Data Analysis

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.

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.

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.

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.

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.

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).

"Statistical Analysis in Criminal Justice and Criminology" is aimed at undergraduates with little or no background in the subject. It is premised on active learning utilizing common statistical tools to analyze criminal justice data. The focus is on the student's understanding of fundamental statistical "analysis," and not on comprehensive coverage of statistical research. Special features of the book include: examples of criminal justice research step-by-step guidance in using SPSS two data sets: a) crime data from the Uniform Crime Reports for all 50 states, coupled with other data, such as number of executions, size of the jail and prison population; and b) survey data from the National Survey on Crime and Justice. Companion Website, an instructor's manual, and a student study guide introduction of a new method of analysis in each chapter, along with terms, examples, and practice problems.

This is the only book that introduces students to the statistical methods of criminology and criminal justice, and shows how they are actually used. Each detailed yet accessible chapter combines instruction in statistical analysis with investigations of key research questions in the field; for example, what are the causes of crime? Useful at both the introductory and intermediate levels, the text contains in-depth coverage of descriptive statistics, including graphical displays of data and exploratory data analysis, along with bivariate and multivariate analyses. Emphasis is placed equally on calculation and interpretation.