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Statistics for Criminal Justice and Criminology in Practice and Research: An Introduction
by Jerry Fitzgerald Jack FitzgeraldStatistics 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.
Statistics for Criminology and Criminal Justice
by Jacinta M. GauA Beginner’s Guide to Statistics in Criminology and Criminal Justice Careers Statistics for Criminology and Criminal Justice, Second Edition is an introductory statistics text for undergraduate criminology and criminal justice majors. The topics and engaging presentation style are targeted to students who have a basic background in algebra but who have had little or no exposure to the study of statistics. The overarching goals of the book are to demonstrate to students that statistics used in criminal justice can be enlightening and eye-opening and, that pre-conceived notions of their academic inadequacies coming into the course are false. The fully updated Second Edition includes new learning objectives and learning checks to help guide students through the material and ensure content understanding and retention. Coverage of the fundamental areas in statistics begins with descriptive statistics, moves into probability, and ends with regression to make the content easier for students to follow. By use of real data and research, emphasis is placed on balancing thoroughness with ease of understanding in order to show students the importance and relevance of statistics in their future criminal justice careers.
Statistics for Criminology and Criminal Justice
by Jacinta M. GauA Beginner’s Guide to Statistics in Criminology and Criminal Justice Careers Statistics for Criminology and Criminal Justice, Second Edition is an introductory statistics text for undergraduate criminology and criminal justice majors. The topics and engaging presentation style are targeted to students who have a basic background in algebra but who have had little or no exposure to the study of statistics. The overarching goals of the book are to demonstrate to students that statistics used in criminal justice can be enlightening and eye-opening and, that pre-conceived notions of their academic inadequacies coming into the course are false. The fully updated Second Edition includes new learning objectives and learning checks to help guide students through the material and ensure content understanding and retention. Coverage of the fundamental areas in statistics begins with descriptive statistics, moves into probability, and ends with regression to make the content easier for students to follow. By use of real data and research, emphasis is placed on balancing thoroughness with ease of understanding in order to show students the importance and relevance of statistics in their future criminal justice careers.
Statistics for Criminology and Criminal Justice
by Jacinta M. GauAn Introduction to Statistics in Criminology and Criminal Justice Statistics for Criminology and Criminal Justice, Third Edition demonstrates how statistics is relevant to your 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 any 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. You will 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 you to apply the concepts from the chapter to real-life scenarios, with open-ended questions that are designed to inspire you to think about the nuances of science, statistics, and their application to criminal justice. Additional illustrations and examples in every chapter keep you engaged with the content and offer ample opportunities for you 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 you insights into the state of criminal justice research today. New research on critical topics encourages you 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 you through statistical calculations to reinforce key concepts.
Statistics for Criminology and Criminal Justice
by Jacinta M. GauAn Introduction to Statistics in Criminology and Criminal Justice Statistics for Criminology and Criminal Justice, Third Edition demonstrates how statistics is relevant to your 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 any 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. You will 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 you to apply the concepts from the chapter to real-life scenarios, with open-ended questions that are designed to inspire you to think about the nuances of science, statistics, and their application to criminal justice. Additional illustrations and examples in every chapter keep you engaged with the content and offer ample opportunities for you 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 you insights into the state of criminal justice research today. New research on critical topics encourages you 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 you through statistical calculations to reinforce key concepts.
Statistics for Criminology and Criminal Justice
by Raymond Paternoster Ronet D. BachmanStatistics 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.
Statistics for Criminology and Criminal Justice
by Raymond Paternoster Ronet D. BachmanStatistics 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.
Statistics for Criminology and Criminal Justice
by Raymond Paternoster Ronet D. Bachman Theodore H. WilsonCommunicating the excitement and importance of criminal justice research, this practical and comprehensive book shows students how to perform and understand statistical analyses, while helping them recognize the connection between statistical analyses used in everyday life and their importance to criminology and criminal justice. This updated Fifth Edition is packed with real-world case studies and contemporary examples utilizing the most current crime data and empirical research available. Each chapter presents a particular statistical method in the context of a substantive research story. A companion website for the book at edge.sagepub.com/bachmansccj5e includes resources for instructors and students.
Statistics for Criminology and Criminal Justice
by Raymond Paternoster Ronet D. Bachman Theodore H. WilsonCommunicating the excitement and importance of criminal justice research, this practical and comprehensive book shows students how to perform and understand statistical analyses, while helping them recognize the connection between statistical analyses used in everyday life and their importance to criminology and criminal justice. This updated Fifth Edition is packed with real-world case studies and contemporary examples utilizing the most current crime data and empirical research available. Each chapter presents a particular statistical method in the context of a substantive research story. A companion website for the book at edge.sagepub.com/bachmansccj5e includes resources for instructors and students.
Statistics for Geography and Environmental Science
by Richard Harris Claire JarvisStatistics are important tools for validating theory, making predictions and engaging in policy research. They help to provide informed commentary about social and environmental issues, and to make the case for change. Knowledge of statistics is therefore a necessary skill for any student of geography or environmental science. This textbook is aimed at students on a degree course taking a module in statistics for the first time. It focuses on analysing, exploring and making sense of data in areas of core interest to physical and human geographers, and to environmental scientists. It covers the subject in a broadly conventional way from descriptive statistics, through inferential statistics to relational statistics but does so with an emphasis on applied data analysis throughout.
Statistics for Human Service Evaluation: York: Statistics For Human Service Evaluation + Depoy: Social Work Research And Evaluation
by Reginald O. YorkStatistics for Human Service Evaluation by Reginald O. York is a practical book that shows how both Excel® and SPSS® can be used for analyzing data for human service evaluation. Assuming no prior instruction for statistics, the text utilizes a “learn by doing” approach: readers see the use of statistics demonstrated and then are encouraged to apply their own data to statistical analysis with step-by-step guidance. Decision trees, practice exercises, and quizzes ensure readers will be well prepared to practice data analysis in a wide variety of human services situations.
Statistics for Human Service Evaluation: York: Statistics For Human Service Evaluation + Depoy: Social Work Research And Evaluation
by Reginald O. YorkStatistics for Human Service Evaluation by Reginald O. York is a practical book that shows how both Excel® and SPSS® can be used for analyzing data for human service evaluation. Assuming no prior instruction for statistics, the text utilizes a “learn by doing” approach: readers see the use of statistics demonstrated and then are encouraged to apply their own data to statistical analysis with step-by-step guidance. Decision trees, practice exercises, and quizzes ensure readers will be well prepared to practice data analysis in a wide variety of human services situations.
Statistics for Linguists: An Introduction Using R
by Bodo WinterStatistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches, maintaining its focus on conceptual issues and avoiding excessive mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style, this text is the ideal main resource for graduate and advanced undergraduate students of Linguistics statistics courses as well as those in other fields, including Psychology, Cognitive Science, and Data Science.
Statistics for People Who (Think They) Hate Statistics
by Dr Neil J. SalkindThe Sixth Edition of Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets.
Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016
by Dr Neil J. SalkindStatistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book's unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.
Statistics for People Who (Think They) Hate Statistics
by Neil J. SalkindThe Sixth Edition of Neil J. Salkind’s best-selling Statistics for People Who (Think They) Hate Statistics promises to ease student anxiety around an often intimidating subject with a humorous, personable, and informative approach. Salkind guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. New to this edition is an introduction to working with large data sets.
Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel
by Neil J. Salkind Bruce B. FreyThis Fifth Edition of Neil J. Salkind’s Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel, presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Opening with an introduction to Excel, including coverage of how to use functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. New to the Fifth Edition is new co-author Bruce Frey who has added a new feature on statisticians throughout history (with a focus on the contributions of women and people of color). He has updated the "Real-World Stats" feature, and added more on effect sizes, updated the discussions on hypotheses, measurement concepts like validity and reliability, and has more closely tied analytical choices to the level of measurement of variables.
Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel
by Neil J. Salkind Bruce B. FreyThis Fifth Edition of Neil J. Salkind’s Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel, presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Opening with an introduction to Excel, including coverage of how to use functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. New to the Fifth Edition is new co-author Bruce Frey who has added a new feature on statisticians throughout history (with a focus on the contributions of women and people of color). He has updated the "Real-World Stats" feature, and added more on effect sizes, updated the discussions on hypotheses, measurement concepts like validity and reliability, and has more closely tied analytical choices to the level of measurement of variables.
Statistics for People Who (Think They) Hate Statistics (Think They) Hate Statistics: Using Microsoft Excel 2016
by Dr Neil J. SalkindStatistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016, Fourth Edition presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Researchers and students will appreciate the book's unhurried pace and thorough, friendly presentation. Opening with an introduction to Excel 2016, including coverage of how to use functions and formulas, this edition also shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. The book walks readers through various statistical procedures, beginning with simple descriptive statistics, correlations, and graphical representations of data, and ending with inferential techniques, analysis of variance, and a new introductory chapter on working with large datasets and data mining using Excel.
Statistics for the Health Sciences: A Non-Mathematical Introduction
by Christine Dancey Richard Rowe John ReidyStatistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: * multiple choice questions for both student and lecturer use * full Powerpoint slides for lecturers * practical exercises using SPSS * additional practical exercises using SAS and R This is an essential textbook for students studying beginner and intermediate level statistics across the health sciences.
Statistics for the Social Sciences
by Dr R. Mark SirkinPopular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fear them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained.
Statistics in Criminal Justice
by David Weisburd Chester BrittStatistics 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.
Statistics in Social Work: An Introduction to Practical Applications
by Professor Amy BatchelorUnderstanding statistical concepts is essential for social work professionals. It is key to understanding research and reaching evidence-based decisions in your own practice—but that is only the beginning. If you understand statistics, you can determine the best interventions for your clients. You can use new tools to monitor and evaluate the progress of your client or team. You can recognize biased systems masked by complex models and the appearance of scientific neutrality. For social workers, statistics are not just math, they are a critical practice tool.This concise and approachable introduction to statistics limits its coverage to the concepts most relevant to social workers. Statistics in Social Work guides students through concepts and procedures from descriptive statistics and correlation to hypothesis testing and inferential statistics. Besides presenting key concepts, it focuses on real-world examples that students will encounter in a social work practice. Using concrete illustrations from a variety of potential concentrations and populations, Amy Batchelor creates clear connections between theory and practice—and demonstrates the important contributions statistics can make to evidence-based and rigorous social work practice.
Statistics on U.S. Immigration: An Assessment of Data Needs for Future Research
by Committee on National StatisticsThe growing importance of immigration in the United States today prompted this examination of the adequacy of U.S. immigration data. This volume summarizes data needs in four areas: immigration trends, assimilation and impacts, labor force issues, and family and social networks. It includes recommendations on additional sources for the data needed for program and research purposes, and new questions and refinements of questions within existing data sources to improve the understanding of immigration and immigrant trends.
Statistics, Public Debate and the State, 1800–1945: A Social, Political and Intellectual History of Numbers (Studies for the International Society for Cultural History #1)
by Jean-Guy Prevost Jean-Pierre BeaudBased around a number of illustrative case studies, this book charts the development of our modern-day reliance on statistics. Topics covered include scientific innovations, administrative issues and the use of numbers in politics. By looking at these aspects of statistics together, the authors are able to present a truly original work.