Statistics in Criminology and Criminal Justice: Analysis and Interpretation


Book Description

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


Book Description

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.




Statistical Analysis in Criminal Justice and Criminology


Book Description

"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.




Statistics for Criminology and Criminal Justice


Book Description

Statistics for Criminology and Criminal Justice, Fourth Edition offers students a practical and comprehensive introduction to statistics and highlights the integral role research and statistics play in the study of criminology and criminal justice. Packed with real-world case studies and contemporary examples utilizing the most current crime data and empirical research available, students not only learn how to perform and understand statistical analyses, but also recognize the connection between statistical analyses use in everyday life and its importance to criminology and criminal justice. Written by two well-known experts in the field, Ronet D. Bachman and Raymond Paternoster continue to facilitate learning by presenting statistical formulas with step-by-step instructions for calculation. This “how to calculate and interpret statistics” approach avoids complicated proofs and discussions of statistical theory, without sacrificing statistical rigor. The Fourth Edition is replete with new examples exploring key issues in today’s world, motivating students to investigate research questions related to criminal justice and criminology with statistics and conduct research of their own along the way. 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.




Statistical Analyses for Criminal Justice and Criminology


Book Description

This book is a how-to guide on statistical analyses designed for undergraduates and others new to the subject. It uses a conceptual framework, starting with the most basic concepts of statistics and moving up through the capacity to perform bivariate regression. Written in an easy-going and clear style, it uses policing data to illustrate concepts. Easily identified Main Take-Aways and Key Terms features aid student understanding. Designed to combat the fear of mathematics and statistics often held by students in the social sciences, plain verbiage, multiple examples, and clear demonstrations combine to achieve the actualization and proper contextualized use of univariate and bivariate statistics. This work also serves as a launching pad for further study in statistics. As an accessible introduction to statistics in criminal justice and criminology, this text will appeal to both students and instructors in introductory criminal justice and criminology statistics courses.




Statistics in Criminology and Criminal Justice


Book Description

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.




Statistical Analysis in Criminal Justice and Criminology


Book Description

Statistical analysis is critical in criminal justice. Professionals in the field must be diligent producers of research to assist policy makers in evaluating program and policy proposals. The key to understanding statistical analysis is by applying the concepts, methodology, and statistical procedures taught in the classroom. Written for undergraduates with little or no background in statistics, the third edition of Statistical Analysis in Criminal Justice and Criminology continues to focus on students’ understanding of fundamental analysis. It is premised on active learning utilizing common statistical tools to analyze crime data, avoiding the comprehensive approach common to many statistics texts. Authors draw from longtime classroom experience to present complex theories in approachable ways. Exercises move from an initial step through the application of concepts explained in each chapter before insights on interpreting the results in a meaningful way is provided. New to this edition is the inclusion of both SPSS and Excel criminal justice data sets used to complete end-of-chapter exercises and analyses. This distinctive offering enables readers to develop their skills with the program most accessible to them.




Statistics in Criminology and Criminal Justice


Book Description

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.




Statistics in Criminology and Criminal Justice


Book Description

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.