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Author: David Weisburd
Publisher: Springer Science & Business Media
ISBN: 1461491703
Category : Social Science
Languages : en
Pages : 801
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Book Description
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.
Author: David Weisburd
Publisher: Springer Science & Business Media
ISBN: 1461491703
Category : Social Science
Languages : en
Pages : 801
Get Book Here
Book Description
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.
Author: Jacob Kaplan
Publisher: Chapman & Hall/CRC
ISBN: 9781032244075
Category : Criminal statistics
Languages : en
Pages : 0
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Book Description
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.
Author: Jack Fitzgerald
Publisher: SAGE Publications
ISBN: 1452292167
Category : Social Science
Languages : en
Pages : 609
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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.
Author: Alison Burke
Publisher:
ISBN: 9781636350684
Category :
Languages : en
Pages :
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Book Description
Author: Alese Wooditch
Publisher: Springer Nature
ISBN: 3030506258
Category : Social Science
Languages : en
Pages : 342
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Book Description
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).
Author: Aleš Završnik
Publisher: Routledge
ISBN: 1315395762
Category : Social Science
Languages : en
Pages : 286
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Book Description
From predictive policing to self-surveillance to private security, the potential uses to of big data in crime control pose serious legal and ethical challenges relating to privacy, discrimination, and the presumption of innocence. The book is about the impacts of the use of big data analytics on social and crime control and on fundamental liberties. Drawing on research from Europe and the US, this book identifies the various ways in which law and ethics intersect with the application of big data in social and crime control, considers potential challenges to human rights and democracy and recommends regulatory solutions and best practice. This book focuses on changes in knowledge production and the manifold sites of contemporary surveillance, ranging from self-surveillance to corporate and state surveillance. It tackles the implications of big data and predictive algorithmic analytics for social justice, social equality, and social power: concepts at the very core of crime and social control. This book will be of interest to scholars and students of criminology, sociology, politics and socio-legal studies.
Author: Kenneth Pease
Publisher: Dartmouth Publishing Company
ISBN:
Category : Social Science
Languages : en
Pages : 452
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Book Description
This volume comprises of a selection of imaginative and important research based upon published or readily available statistical sources. These include some long neglected classics, ripe for reconsideration and replication. It also contains examples of statistical and graphical abuses – for example a press release from British Telecom on the alleged success of its call-tracing programme. The book makes clear the scope for creative and policy-relevant research using much despised statistics.
Author: Ramona R. Rantala
Publisher:
ISBN:
Category : Crime analysis
Languages : en
Pages : 16
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Book Description
Author: George L. Kelling
Publisher: Simon and Schuster
ISBN: 0684837382
Category : Political Science
Languages : en
Pages : 340
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Book Description
Cites successful examples of community-based policing.
Author: National Research Council
Publisher: National Academies Press
ISBN: 0309168686
Category : Law
Languages : en
Pages : 111
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Book Description
Most major crime in this country emanates from two major data sources. The FBI's Uniform Crime Reports has collected information on crimes known to the police and arrests from local and state jurisdictions throughout the country. The National Crime Victimization Survey, a general population survey designed to cover the extent, nature, and consequences of criminal victimization, has been conducted annually since the early1970s. This workshop was designed to consider similarities and differences in the methodological problems encountered by the survey and criminal justice research communities and what might be the best focus for the research community. In addition to comparing and contrasting the methodological issues associated with self-report surveys and official records, the workshop explored methods for obtaining accurate self-reports on sensitive questions about crime events, estimating crime and victimization in rural counties and townships and developing unbiased prevalence and incidence rates for rate events among population subgroups.
