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| data analysis in criminal justice: Data Analysis in Criminal Justice and Criminology Philip McCormack, Angela Callahan, 2018-11-07 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 |
| data analysis in criminal justice: Data Analysis for Criminal Justice and Criminology Jerome B. McKean, Bryan Byers, 2000 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. |
| data analysis in criminal justice: Statistical Analysis in Criminal Justice and Criminology Gennaro F. Vito, Michael B. Blankenship, Julie C. Kunselman, 2008 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. |
| data analysis in criminal justice: Data Analysis in Criminal Justice and Criminology (Preliminary Edition) Phillip McCormack, 2016-12-31 |
| data analysis in criminal justice: Statistical Analysis in Criminal Justice and Criminology Gennaro F. Vito, Michael B. Blankenship, Julie C. Kunselman, Geetha Suresh, 2020-04-30 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. |
| data analysis in criminal justice: Statistics in Criminal Justice David Weisburd, Chester Britt, 2013-12-11 Statistics in Criminal Justice takes an approach that emphasizes the application and interpretation of statistics in research in crime and justice. This text is meant for both students and researchers who want to gain a basic understanding of common statistical methods used in this field. In general, the text relies on a building-block approach, meaning that each chapter helps to prepare the student for the chapters that follow. It also means that the level of sophistication of the text increases as the text progresses. Throughout the text there is an emphasis on comprehension and interpretation, rather than computation. However, as the statistical methods discussed become more complex and demanding to compute, there is increasing use and integration of statistical software. This approach is meant to provide the reader with an accessible, yet sophisticated understanding of statistics that can be used to examine real-life criminal justice problems with popular statistical software programs. The primary goal of the text is to give students and researchers a basic understanding of statistical concepts and methods that will leave them with the confidence and the tools for tackling more complex problems on their own. New to the 4th Edition · New chapter on experimental design and the analysis of experimental data. · New chapter on multi-level models, including growth-curve models. · New computer exercises throughout the text to illustrate the use of both SPSS and Stata. · Revision of exercises at the end of each chapter that places greater emphasis on using statistical software. · Additional resources on the text’s web site for instructors and students, including answers to selected problems, syntax for replicating text examples in SPSS and Stata, and other materials that can be used to supplement the use of the text. |
| data analysis in criminal justice: Statistics in Criminology and Criminal Justice: Analysis and Interpretation Jeffery T. Walker, Sean Maddan, 2008-08-15 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. |
| data analysis in criminal justice: Statistics for Criminal Justice and Criminology in Practice and Research Jack Fitzgerald, Jerry Fitzgerald, 2013-01-17 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. |
| data analysis in criminal justice: Data Analysis in Criminal Justice and Criminology (First Edition) Phillip McCormack, Angela Callahan, 2018-11-07 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 used in criminal justice and criminology, various methods of data collection, the importance of identifying the purpose of analysis and key data elements prior to analyzing information, and graphical representation of data. Unit 2 introduces students to samples, distributions, and the central limit theorem as it relates to data analysis. This section provides students with the essential knowledge and skills needed to understand statistical concepts and calculations. The final unit explains how to move beyond statistical description to statistical inference and how sample statistics can be used to estimate population parameters. Highly accessible in nature, Data Analysis in Criminal Justice and Criminology is ideal for undergraduate and graduate courses in criminal justice, criminology, and sociology especially those with emphasis on data analysis. |
| data analysis in criminal justice: Understanding Criminological Research John Martyn Chamberlain, 2012-11-09 Criminological research lies at the heart of criminological theory, influences social policy development, as well as informs criminal justice practice. The ability to collect, analyse and present empirical data is a core skill every student of criminology must learn. Written as an engaging step-by-step guide and illustrated by detailed case studies, this book guides the reader in how to analyse criminological data. Key features of the book include: o Guidance on how to identify a research topic, designing a research study, accounting for the role of the researcher and writing up and presenting research findings. o A thorough account of the development of qualitative and quantitative research methodologies and data analysis within the field of criminology. o Relevant and up-to-date case studies, drawn from internationally published criminological research sources. o Clear and accessible chapter content supported by helpful introductions, concise summaries, self-study questions and suggestions for further reading. Understanding Criminological Research: A Guide to Data Analysis in invaluable reading for both undergraduate and postgraduate students in criminology and criminal justice. |
| data analysis in criminal justice: Introductory Criminal Justice Statistics and Data Analysis Irina R. Soderstrom, Kristie R. Blevins, 2015-09-13 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. |
| data analysis in criminal justice: Statistics in Criminology and Criminal Justice Jeffery T. Walker, Sean Maddan, 2013 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. |
| data analysis in criminal justice: Foundations of Crime Analysis Jeffery T. Walker, Grant R. Drawve, 2018-02-12 In recent years, the fields of crime analysis and environmental criminology have grown in prominence for their advancements made in understanding crime. This book offers a theoretical and methodological introduction to crime analysis, covering the main techniques used in the analysis of crime and the foundation of crime mapping. Coverage includes discussions of: The development of crime analysis and the profession of the crime analyst, The theoretical roots of crime analysis in environmental criminology, Pertinent statistical methods for crime analysis, Spatio-temporal applications of crime analysis, Crime mapping and the intersection of crime analysis and police work, Future directions for crime analysis. Packed with case studies and including examples of specific problems faced by crime analysts, this book offers the perfect introduction to the analysis and investigation of crime. It is essential reading for students taking courses on crime analysis, crime mapping, crime prevention, and environmental criminology. A companion website offers further resources for students, including flashcards and video and website links. For instructors, it includes chapter-by-chapter PowerPoint slides. |
| data analysis in criminal justice: Introduction to Crime Analysis Deborah Osborne, Susan Wernicke, 2003 This book offers a practical guide and resource for those in law enforcement who analyze crime. The target audience is those new to crime analysis, however many resources are presented that should be useful to more experienced crime analysts as well. Chapter 1 provides an introduction of crime analysis, including the challenges involved in defining crime analysis and the reasons for analyzing crimes. The basic types of crime analysis used in most local law enforcement agencies are described, and the authors point out that most agencies are moving toward tactical and strategic methods of crime analysis. Chapter 2 focuses on the tools of crime analysis. Computer skills are an important component of crime analysis, as demonstrated by the many Internet links provided as resources throughout the book. The importance of knowing the law, the investigative process, and modern policing strategies are also underscored in chapter 2. Linkage analysis, statistical analysis, profiling, and spatial analysis are also addressed in this chapter. Chapter 3 describes the stages of crime analysis: evidence collection, collation, analysis, dissemination, feedback, and evaluation. The Intelligence Cycle of crime analysis is also briefly presented. Chapter 4 turns to a discussion of geographic information systems analysis. Creating crime maps and mapping other data for crime analysis is reviewed and points on privacy issues are offered. Chapter 5 presents many of the crime analysis products available for purchase, including a description of the types of administrative crime analysis reports, intelligence analysis products, and a listing of resources for crime analysis products. Chapter 6 offers advice for the new crime analyst, while chapter 7 discusses the creation of a crime analysis unit. Policies and procedures for such a unit are reviewed and the marketing and funding of a crime analysis unit are discussed. The authors describe how to Measure the success of a crime analysis unit and share crime analysis success stories. Chapter 8 moves into a discussion of education and training resources, including training options for those in law enforcement and education and training offered by colleges and universities. Finally, chapter 9 presents resources for the new crime analyst, including agency resources, publications, and Internet sites. |
| data analysis in criminal justice: Statistics for Criminology and Criminal Justice Ronet D. Bachman, Raymond Paternoster, 2016-01-13 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. |
| data analysis in criminal justice: A Beginner’s Guide to Statistics for Criminology and Criminal Justice Using R Alese Wooditch, Nicole J. Johnson, Reka Solymosi, Juanjo Medina Ariza, Samuel Langton, 2021-06-03 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). |
| data analysis in criminal justice: The Encyclopedia of Research Methods in Criminology and Criminal Justice, 2 Volume Set J. C. Barnes, David R. Forde, 2021-09-08 The Encyclopedia of RESEARCH METHODS IN CRIMINOLOGY & CRIMINAL JUSTICE The most comprehensive reference work on research designs and methods in criminology and criminal justice This Encyclopedia of Research Methods in Criminology and Criminal Justice offers a comprehensive survey of research methodologies and statistical techniques that are popular in criminology and criminal justice systems across the globe. With contributions from leading scholars and practitioners in the field, it offers a clear insight into the techniques that are currently in use to answer the pressing questions in criminology and criminal justice. The Encyclopedia contains essential information from a diverse pool of authors about research designs grounded in both qualitative and quantitative approaches. It includes information on popular datasets and leading resources of government statistics. In addition, the contributors cover a wide range of topics such as: the most current research on the link between guns and crime, rational choice theory, and the use of technology like geospatial mapping as a crime reduction tool. This invaluable reference work: Offers a comprehensive survey of international research designs, methods, and statistical techniques Includes contributions from leading figures in the field Contains data on criminology and criminal justice from Cambridge to Chicago Presents information on capital punishment, domestic violence, crime science, and much more Helps us to better understand, explain, and prevent crime Written for undergraduate students, graduate students, and researchers, The Encyclopedia of Research Methods in Criminology and Criminal Justice is the first reference work of its kind to offer a comprehensive review of this important topic. |
| data analysis in criminal justice: Statistical Applications in Criminal Justice Gennaro F. Vito, Edward J. Latessa, 1989-12 This textbook is specifically designed to give criminology and law students the elements of social statistics. Using examples entirely from criminology, law and justice research, the authors begin with simple mathematical notation and manipulation and work up through: } definitions of major terms } reading of graphs, charts and tables } theoretical basis of statistics, with discussions of probability, sampling and hypothesis testing. Only when the student has a firm mastery of these basic tools do the authors present some of the basic statistical techniques most commonly used in criminal justice research such as t-tests, correlations, simple regression, ANOVA and measures of association. |
| data analysis in criminal justice: Research Strategies for Secondary Data Marc Riedel, 2000 Annotation This text describes and explains for researchers and professionals in criminology and criminal justice the various approaches to the evaluation and analysis of secondary data. |
| data analysis in criminal justice: Machine Learning Risk Assessments in Criminal Justice Settings Richard Berk, 2018-12-13 This book puts in one place and in accessible form Richard Berk’s most recent work on forecasts of re-offending by individuals already in criminal justice custody. Using machine learning statistical procedures trained on very large datasets, an explicit introduction of the relative costs of forecasting errors as the forecasts are constructed, and an emphasis on maximizing forecasting accuracy, the author shows how his decades of research on the topic improves forecasts of risk. Criminal justice risk forecasts anticipate the future behavior of specified individuals, rather than “predictive policing” for locations in time and space, which is a very different enterprise that uses different data different data analysis tools. The audience for this book includes graduate students and researchers in the social sciences, and data analysts in criminal justice agencies. Formal mathematics is used only as necessary or in concert with more intuitive explanations. |
| data analysis in criminal justice: Introduction to Data Analysis with R for Forensic Scientists James Michael Curran, 2010-07-30 Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow them to explore their data to its full potential. Introduction to Data Analysis with R for Forensic Sciences minimizes theory and mathematics and focus |
| data analysis in criminal justice: Statistics for Criminology and Criminal Justice Jacinta M. Gau, 2018-02-09 ...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. |
| data analysis in criminal justice: Applied Crime Analysis Karim Vellani, Joel Nahoun, 2001-01-18 Applied Crime Analysis covers all aspects of crime analysis for private sector businesses including examining the frequency of crimes, the nature of these crimes, the day and time of the incident, the risk to a property and its inhabitants, and the objective analysis of preventative security measures in place. Applied Crime Analysis compares data sources used in conducting crime analysis and explores ways to organize statistical data, crime analysis methodologies, crime prevention theories, and methods of determining patterns and trends. By explaining the significance of crime statistics relative to crime prevention theory and techniques, the book provides readers with a clear, strategic plan to implement crime prevention programs and security resources. Discusses crime analysis techniques and theories in detail Covers all aspects of crime analysis for private sector businesses Uses fictional case studies found throughout chapters that help readers apply statistical data to practical, everyday use |
| data analysis in criminal justice: Adventures in Criminal Justice Research George W. Dowdall, Kim Logio, Earl Babbie, Fred Halley, 1998-12-08 This text teaches students how to analyze issues not only in criminal justice using current General Social Survey data but also in the most authoritative national study of drug and alcohol use on US college campuses, the Harvard School of Public Health College Alcohol Study. By providing step-by-step instructions, the text explores criminal justice by explaining how to conduct and analyze your own survey. Included in the package is a diskette with a GSS file, a College Alcohol Study data set, criminal justice and juvenile justice data sets. |
| data analysis in criminal justice: A Criminologist's Guide to R Jacob Kaplan, 2022-11-25 This book introduces the programming language R and covers the necessary skills to conduct quantitative research in criminology. By the end, a person without any prior programming experience can take raw crime data, be able to clean it, visualize the data, present it using R Markdown, and change it to a format ready for analysis. |
| data analysis in criminal justice: Predict and Surveil Sarah Brayne, 2020-10-22 Predict and Surveil offers an unprecedented, inside look at how police use big data and new surveillance technologies. Sarah Brayne conducted years of fieldwork with the LAPD--one of the largest and most technically advanced law enforcement agencies in the world-to reveal the unmet promises and very real perils of police use of data--driven surveillance and analytics. |
| data analysis in criminal justice: Research Methods in Criminal Justice and Criminology Callie Marie Rennison, Timothy C. Hart, 2022-01-31 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. |
| data analysis in criminal justice: Statistical Concepts for Criminal Justice and Criminology Franklin P. Williams, 2009 This book is concept-based and focuses on the building blocks of statistical ideas. Covering the essential techniques—univariate tools, Chi-square, t-test, analysis of variance, and Pearson's r—in a simple conversational style, the text explains the concepts behind each technique and how results are interpreted. Its emphasis is on understanding over mathematical calculations, and its goal is to give students a grasp of the role of variance and error. A chapter on graphical statistics complements the normal quantitative approaches and each technique is set in the context of how it is used to answer research questions. |
| data analysis in criminal justice: Understanding Criminal Networks Gisela Bichler, 2019-09-24 Understanding Criminal Networks is a short methodological primer for those interested in studying illicit, deviant, covert, or criminal networks using social network analysis (SNA). Accessibly written by Gisela Bichler, a leading expert in SNA for dark networks, the book is chock-full of graphics, checklists, software tips, step-by-step guidance, and straightforward advice. Covering all the essentials, each chapter highlights three themes: the theoretical basis of networked criminology, methodological issues and useful analytic tools, and producing professional analysis. Unlike any other book on the market, the book combines conceptual and empirical work with advice on designing networking studies, collecting data, and analysis. Relevant, practical, theoretical, and methodologically innovative, Understanding Criminal Networks promises to jumpstart readers’ understanding of how to cross over from conventional investigations of crime to the study of criminal networks. |
| data analysis in criminal justice: Statistics in Criminology and Criminal Justice Jeffery T. Walker, Sean Maddan, 2019-03-01 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. |
| data analysis in criminal justice: CRIMINAL JUSTICE RESEARCH METHODS. CARLOS. SMITH POSADAS (HILARY. GLASNER, AVIVA.), 2020 |
| data analysis in criminal justice: Adventures in Criminal Justice Research George W. Dowdall, Earl R. Babbie, Fred Halley, 1997 Shows students how to: analyse issues in criminal justice using current GSS General Social Survey data - analyse issues in drug and alcohol use on campus using the Harvard School of Public Health College Alcohol Study and use SPSS, the most widely used professional software in criminal justice. |
| data analysis in criminal justice: Advanced Statistics in Criminology and Criminal Justice David Weisburd, David B. Wilson, Alese Wooditch, Chester L. Britt, 2022 |
| data analysis in criminal justice: Data-Driven Law Edward J. Walters, 2018-07-16 For increasingly data-savvy clients, lawyers can no longer give it depends answers rooted in anecdata. Clients insist that their lawyers justify their reasoning, and with more than a limited set of war stories. The considered judgment of an experienced lawyer is unquestionably valuable. However, on balance, clients would rather have the considered judgment of an experienced lawyer informed by the most relevant information required to answer their questions. Data-Driven Law: Data Analytics and the New Legal Services helps legal professionals meet the challenges posed by a data-driven approach to delivering legal services. Its chapters are written by leading experts who cover such topics as: Mining legal data Computational law Uncovering bias through the use of Big Data Quantifying the quality of legal services Data mining and decision-making Contract analytics and contract standards In addition to providing clients with data-based insight, legal firms can track a matter with data from beginning to end, from the marketing spend through to the type of matter, hours spent, billed, and collected, including metrics on profitability and success. Firms can organize and collect documents after a matter and even automate them for reuse. Data on marketing related to a matter can be an amazing source of insight about which practice areas are most profitable. Data-driven decision-making requires firms to think differently about their workflow. Most firms warehouse their files, never to be seen again after the matter closes. Running a data-driven firm requires lawyers and their teams to treat information about the work as part of the service, and to collect, standardize, and analyze matter data from cradle to grave. More than anything, using data in a law practice requires a different mindset about the value of this information. This book helps legal professionals to develop this data-driven mindset. |
| data analysis in criminal justice: Snapshots of Research Richard D. Hartley, 2010-10-20 Immerse your students in contemporary and classic scholarly research and readings from the major branches of the criminal justice system This text/reader is a comprehensive, cutting-edge overview of the main research methods used in the fields of criminology and criminal justice. Snapshots of Research offers a wide range of modern research examples, as well as several classic articles, including a broad range of readings from the four major branches of the criminal justice system—policing, courts/law, juvenile justice, and corrections—that are relevant to career paths students may be interested in pursuing. |
| data analysis in criminal justice: Multiple Objective Analytics for Criminal Justice Systems Gerald W. Evans, 2024-10-09 Criminal justice systems are complex and difficult to design and operate. This is due to their many interacting parts, and their dynamic and probabilistic nature, as well as their interfaces with other systems. This book reviews the use of analytics to address issues in criminal justice system and discusses the various sources of data associated with the systems. This book is meant to be used by those who would like 1) an introduction to criminal justice systems and 2) an illustration of how some of the various methodologies of analytics can be used to address specific issues in criminal justice systems. This book will be of interest to faculty, students, and researchers in schools/departments of criminal justice, law, public affairs, political science, industrial engineering, and management. In addition, the book should be of use to government analysts who study the effects of criminal programs and laws. |
| data analysis in criminal justice: Criminal Justice Research in an Era of Mass Mobility Andriani Fili, Synnøve Jahnsen, Rebecca Powell, 2018-05-08 We live in an era of mass mobility where governments remain committed to closing borders, engaging with securitisation discourses and restrictive immigration policies, which in turn nurture xenophobia and racism. It is within this wider context of social and political unrest that the contributors of this collection reflect on their experiences of conducting criminological research. This collection focuses on the challenges of doing research on the intersections between criminal justice and immigration control, choosing and changing methodologies while juggling the disciplinary and interdisciplinary requirements of the work’s audience. From research design, to fieldwork to writing-up, this book captures every part of the research process, drawing on a range of topics such as migration control, immigrant detention and border policing. It also reflects on more neglected areas such as the interpersonal and institutional contexts of research and the ontological and epistemological assumptions embedded within data analysis methods. It makes a significant contribution to our understanding of the major developments in current research in this field, how and why they occur and with what consequences. This book seeks to shake off the phantom of undisturbed research settings by bringing to the fore the researchers' involvement in the research process and its products. An interdisciplinary collection, it can be used as a reference not just for those interested in the criminology of mobility but also as a learning tool for anyone conducting research on a highly charged topic in contemporary policy and politics. |
| data analysis in criminal justice: Criminal Justice Forecasts of Risk Richard Berk, 2012-04-06 Machine learning and nonparametric function estimation procedures can be effectively used in forecasting. One important and current application is used to make forecasts of “future dangerousness to inform criminal justice decision. Examples include the decision to release an individual on parole, determination of the parole conditions, bail recommendations, and sentencing. Since the 1920s, risk assessments of various kinds have been used in parole hearings, but the current availability of large administrative data bases, inexpensive computing power, and developments in statistics and computer science have increased their accuracy and applicability. In this book, these developments are considered with particular emphasis on the statistical and computer science tools, under the rubric of supervised learning, that can dramatically improve these kinds of forecasts in criminal justice settings. The intended audience is researchers in the social sciences and data analysts in criminal justice agencies. |
| data analysis in criminal justice: Practical Program Evaluation For Criminal Justice Gennaro F. Vito, George E. Higgins, 2014-05-08 Practical Program Evaluation for Criminal Justice shows readers how to apply the principles of fiscal responsibility, accountability, and evidence-based practice to criminal justice reform plans. Unlike other policy-based texts, which tend to focus more on implementation than assessment, this book provides applicable, step-by-step instruction on determining an initiative's necessity prior to its adoption (reducing the risk of wasting resources), as well as how to accurately gauge its effectiveness during initial roll-out stages. The book gradually introduces basic data analysis procedures and statistical techniques, which, once mastered, can be used to prove or disprove a program's worth. Lastly, the book introduces the types of stakeholders who should review evaluation results for quick action, as well as how to best structure reports to ensure their buy-in. Individually examines every major evaluation type (as well as the benefits, concerns, and constraints of each), including needs, theory, process, outcome/impact, and cost efficiency Defines the precise data points each evaluation type requires, and the exact manner in which this data can be collected Demonstrates how different types of evaluations can be used together to provide clear information regarding a program's overall performance level Cites and makes use of real-world policy evaluations and vetted programs |
| data analysis in criminal justice: Introductory Statistics for Criminal Justice and Criminology Jon L. Proctor, Diane M. Badzinski, 2002 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. |
Criminal Justice Data Analysis - Berkeley Law
As of 2012, data reported into the program by 17,207 active law enforcement agencies (LEA). In 46 states, agencies report data to state UCR program usually housed within state Criminal …
Introductory Guide to Crime Analysis and Mapping
As an introduction to crime analysis, this section provides the definition of crime analysis as a general concept as well as definitions of five types of crime analysis.
47: 202: 302 Data Analysis in Criminal Justice - Rutgers …
Jan 24, 2019 · Apply and analyze theories related to the policies and practices of the criminal justice system and its major institutions. Demonstrate the ability to gather, explain, and apply …
Developing Data Dashboards to Drive Criminal Justice Decisions
Jurisdictions across the country are seeking ways to better understand their justice-involved populations and guide their decisions with data. Justice system processes span independent …
Analysis of the Criminal Justice System’s Data Architecture
Justice stakeholders can use this framework to capture, document, and measure the components that exist, and they can add to it to develop a robust criminal justice data architecture.
Overview of Crime Analysis - Bureau of Justice Assistance
A publication by the Bureau of Justice Assistance (BJA) provides an overview of how an analytical function benefits law enforcement agencies in nine ways (Bureau of Justice Assistance, 2005):
Data-Driven Programs to Improve Criminal Justice Decision …
Through the Justice Reinvestment Initiative (JRI), state leaders work with experts to conduct agency-spanning data analysis; develop and implement data-driven, tailored solutions to …
CRIM 515: Criminal Justice Research Methods & Data Analysis
Specifically, this includes the formulation of research questions, logic of inquiry, research design, observation, measurement, and introduction to social statistics and applications to criminal …
PREDICTIVE ANALYTICS IN LAW ENFORCEMENT: A REPORT …
Mar 19, 2020 · Federal, State, and Local law enforcement agencies use data analytics in a variety of ways, including to investigate past criminal acts, identify patterns in criminal behavior, …
GUIDELINES FOR THE GOVERNANCE OF STATISTICAL DATA IN
Crime Prevention and Criminal Justice (CCPCJ) endorsed the International Classification of Crime for Statistical Purposes (ICCS). ICCS is the international standard for defining and classifying …
Instructor: Professor Valerio aćak, PhD
Describe the development and functions of major criminal justice institutions (e.g., police, courts, corrections, and juvenile justice), the activities of actors within these institutions, and how they …
Considerations for Jail Analysts - Office of Justice Programs
Fundamental yet powerful analysis of jail data is achieved by categorizing information and applying counts or sums to derive insight about the business processes that generate the data.
ANALYSIS AND INTERPRETATION OF CRIMINAL JUSTICE …
Criminal justice research, as is true with research in economics, political science, education, and several other fields, may sometimes involve unique problems.
Policymaker’s Use of Data to Inform Criminal Justice Decisions
NCSL analyzed state legislative actions, legislators’ remarks and communications, and other sources to identify the following five challenges and barriers that hinder legislators’ use of data …
Data Analysis and Dissemination Module 10C - United …
Can examine broad ranges of issues related to victimization and the operation of the criminal justice system. All findings must be supported by the data. Findings should not be directed …
Analysis of Publicly Available Court Data (APACD) - Bureau of …
Apr 27, 2018 · As the primary source for criminal justice statistics in the United States, BJS is responsible for collecting, analyzing, publishing, and disseminating statistical information on …
Choosing the Right Data Strategy for Behavioral Health and …
Collecting data and evaluating programs should be a critical element of all criminal justice and behavioral health initiatives. Data help illustrate what is working, what needs to change, and …
Data & Civil Rights: Criminal Justice Primer
Discrimination and racial disparities persist at every stage of the U.S. criminal justice system, from policing to trials to sentencing. The United States incarcerates a higher percentage of its …
CJ-302 Data Analysis in Criminal Justice Syllabus copy
This course will provide a theoretical background and practical experience to statistics and data for criminal justice. This course examines descriptive, inferential and multivariate statistics
A study on the application of data mining-based crime …
Increasingly mature data mining techniques have rapidly promoted the development of data-driven crime prediction research. Graph neural networks are often used to extract spatial …
Criminal Justice Data Analysis - Berkeley Law
As of 2012, data reported into the program by 17,207 active law enforcement agencies (LEA). In 46 states, agencies report data to state UCR program usually housed within state Criminal …
Introductory Guide to Crime Analysis and Mapping
As an introduction to crime analysis, this section provides the definition of crime analysis as a general concept as well as definitions of five types of crime analysis.
47: 202: 302 Data Analysis in Criminal Justice - Rutgers …
Jan 24, 2019 · Apply and analyze theories related to the policies and practices of the criminal justice system and its major institutions. Demonstrate the ability to gather, explain, and apply …
Developing Data Dashboards to Drive Criminal Justice …
Jurisdictions across the country are seeking ways to better understand their justice-involved populations and guide their decisions with data. Justice system processes span independent …
Analysis of the Criminal Justice System’s Data Architecture
Justice stakeholders can use this framework to capture, document, and measure the components that exist, and they can add to it to develop a robust criminal justice data architecture.
Overview of Crime Analysis - Bureau of Justice Assistance
A publication by the Bureau of Justice Assistance (BJA) provides an overview of how an analytical function benefits law enforcement agencies in nine ways (Bureau of Justice Assistance, 2005):
Data-Driven Programs to Improve Criminal Justice Decision …
Through the Justice Reinvestment Initiative (JRI), state leaders work with experts to conduct agency-spanning data analysis; develop and implement data-driven, tailored solutions to …
CRIM 515: Criminal Justice Research Methods & Data Analysis
Specifically, this includes the formulation of research questions, logic of inquiry, research design, observation, measurement, and introduction to social statistics and applications to criminal …
PREDICTIVE ANALYTICS IN LAW ENFORCEMENT: A REPORT …
Mar 19, 2020 · Federal, State, and Local law enforcement agencies use data analytics in a variety of ways, including to investigate past criminal acts, identify patterns in criminal behavior, …
GUIDELINES FOR THE GOVERNANCE OF STATISTICAL DATA IN
Crime Prevention and Criminal Justice (CCPCJ) endorsed the International Classification of Crime for Statistical Purposes (ICCS). ICCS is the international standard for defining and classifying …
Instructor: Professor Valerio aćak, PhD
Describe the development and functions of major criminal justice institutions (e.g., police, courts, corrections, and juvenile justice), the activities of actors within these institutions, and how they …
Considerations for Jail Analysts - Office of Justice Programs
Fundamental yet powerful analysis of jail data is achieved by categorizing information and applying counts or sums to derive insight about the business processes that generate the data.
ANALYSIS AND INTERPRETATION OF CRIMINAL JUSTICE …
Criminal justice research, as is true with research in economics, political science, education, and several other fields, may sometimes involve unique problems.
Policymaker’s Use of Data to Inform Criminal Justice Decisions
NCSL analyzed state legislative actions, legislators’ remarks and communications, and other sources to identify the following five challenges and barriers that hinder legislators’ use of data …
Data Analysis and Dissemination Module 10C - United …
Can examine broad ranges of issues related to victimization and the operation of the criminal justice system. All findings must be supported by the data. Findings should not be directed …
Analysis of Publicly Available Court Data (APACD) - Bureau of …
Apr 27, 2018 · As the primary source for criminal justice statistics in the United States, BJS is responsible for collecting, analyzing, publishing, and disseminating statistical information on …
Choosing the Right Data Strategy for Behavioral Health …
Collecting data and evaluating programs should be a critical element of all criminal justice and behavioral health initiatives. Data help illustrate what is working, what needs to change, and …
Data & Civil Rights: Criminal Justice Primer
Discrimination and racial disparities persist at every stage of the U.S. criminal justice system, from policing to trials to sentencing. The United States incarcerates a higher percentage of its …
CJ-302 Data Analysis in Criminal Justice Syllabus copy
This course will provide a theoretical background and practical experience to statistics and data for criminal justice. This course examines descriptive, inferential and multivariate statistics
A study on the application of data mining-based crime …
Increasingly mature data mining techniques have rapidly promoted the development of data-driven crime prediction research. Graph neural networks are often used to extract spatial …
