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Data Analysis in Criminal Justice and Criminology: History, Concept, and Application breaks down various data analysis techniques to help students build their conceptual understanding of key methods and processes. The information in the text encourages discussion and consideration of how and why data analysis plays an important role in the fields of criminal justice and criminology. The book is divided into three units. Unit 1 discusses how data analysis is us
"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.
"...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.
Unique to the market, this user-friendly book offers a comprehensive introduction to data analysis in criminal justice and criminology. Ideal for readers with a limited math background, Data Analysis in Criminal Justice and Criminology offers a clear presentation of data analytic methodologies combined with examples, research, and exercises that foster active learning. Study questions and exercises throughout encourage readers to apply data analytic knowledge and skills, serving to engage student interest while preparing them for careers as practitioners. In addition, real-world examples of research studies show practical applications of text material, helping students to understand the relevance of statistics in criminal justice and criminology. For anyone interested in data analysis in 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.
Two leading authors on medical ethics, science policy, and civil liberties take a hard look at how the United States has balanced the use of DNA technology, particularly the use of DNA databanks in criminal justice, with the privacy rights of its citizenry. The authors explore many controversial topics, including the legal precedent for taking DNA from juveniles, the search for possible family members of suspects in DNA databases, the launch of "DNA dragnets" among local populations, and the warrantless acquisition by police of so-called abandoned DNA in the search for suspects. Most intriguing, they explode the myth that DNA profiling is infallible, which has profound implications for criminal justice.
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.
Essentials of Statistics for Criminology and Criminal Justice helps students understand the vital role that research and statistics play in the study of criminology and criminal justice by showing them how to conduct and interpret statistics in real-world settings with a step-by-step approach to solving problems. This practical, applied approach offers students the fundamentals of descriptive and inferential statistics in a concise and easy-to-understand format—avoiding complicated proofs and discussions of statistical theory. The examples and case studies provide relevant examples for criminology and criminal justice students, and deal with contemporary issues related to crime, corrections, police, and the judicial system. Students will not only learn about the "how to" in statistics, but they will also recognize its importance in today’s criminal justice system.
Research Methods in Criminal Justice and Criminology connects key concepts to real field research and practices using contemporary examples and recurring case studies throughout the book that demonstrate how concepts relate to students’ lives. Authors Callie M. Rennison and Timothy C. Hart introduce practical research strategies used in criminal justice to show students how a research question can become a policy that changes or influences criminal justice practices. The book’s student-driven approach addresses both the "why" and the "how" as it covers the research process and focuses on the practical application of data collection and analysis. By demonstrating the variety of ways research can be used, and reinforcing the need to discern quality research, the book prepares students to become critical consumers and ethical producers of research. The Second Edition includes two new case studies woven throughout, and new expert profiles to highlight contemporary topics. Editable PowerPoint slides and a test bank are available to instructors.
The Foundations of Statistics in Criminology and Criminal Justice underscores the purpose and role of statistics in criminal justice practice, emphasizes major analytical techniques, and covers two key types of statistics--descriptive and inferential. The text helps students build a fundamental background in analytical methods within the context of criminal justice. Part I demonstrates the importance of statistics and its practical application within criminology and criminal justice. Part II introduces students to descriptive statistics. They learn about measures of central tendency and measures of variability within empirical research in the criminal justice system. In Part III, students examine the issues of probability and the normal curve, which explain how criminal justice data sources and research can be used for decision-making tools with an adequate degree of scientific validation. Part IV explores inferential statistics as a decision-making aid that plays a pivotal roles in criminal justice policy development and planning. The final section demonstrates practical applications within the discipline and summarizes analytical methods. Accessible and engaging, The Foundations of Statistics in Criminology and Criminal Justice is an exemplary resource for courses in statistics in criminology and criminal justice.