Download Free Elementary Statistics In Criminal Justice Research Book in PDF and EPUB Free Download. You can read online Elementary Statistics In Criminal Justice Research and write the review.

For courses in Criminal Justice and Statistics for Criminal Justice. An accessible introduction to statistics in the criminal justice field. Elementary Statistics in Criminal Justice Research, Fourth Edition, provides an introduction to statistics for students in criminal justice and criminology. Created specifically for students who many not have strong backgrounds in mathematics, the text focuses primarily on the statistical theories and methods that criminal justice students need to understand. This text was adapted from the best-selling Elementary Statistics in Social Research, and provides broad and accessible coverage that will appeal to students and instructors alike.
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.
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. An accessible introduction to statistics in the criminal justice field. Elementary Statistics in Criminal Justice Research, Fourth Edition, provides an introduction to statistics for students in criminal justice and criminology. Created specifically for students who many not have strong backgrounds in mathematics, the text focuses primarily on the statistical theories and methods that criminal justice students need to understand. This text was adapted from the best-selling Elementary Statistics in Social Research, and provides broad and accessible coverage that will appeal to students and instructors alike.
Statistics for the Terrified Criminologist is a user-friendly introduction to elementary statistics, intended primarily for the reluctant, math-anxious/avoidant criminology student. Written in a personal and informal style, with healthy doses of humor and encouragement, the aim of this book is to help readers make the leap from apprehension to comprehension of elementary statistics. Statisticsfor the Terrified Criminologist includes step-by-step instructions on how to run basic statistical tests in SPSS (Statistical Package for the Social Sciences) and is intended to serve as a comprehensive text for criminology courses in statistics and research methods; as a refresher for criminology students who have already taken a statistics course; and as a primer for new students of elementary statistics. Millions of people have math anxiety; yet this fact is rarely taken into consideration in textbooks on statistics. This book also presents self-help strategies (based on the cognitive behavioral techniques of rational emotive therapy) that help people manage their math anxiety so they can relax and build confidence while learning statistics. Statistics for theTerrified Criminologist makes statistics accessible to people by helping them manage their anxiety and presenting them with other essential materials for learning statistics before jumping into statistics.
Formerly a Nelson Hall title, this comprehensive introduction to the basics of criminal justice research introduces simple research methodologies and gradually advances to more complicated ones. The text describes elementary descriptive and inferential statistics, demonstrates research techniques, and examines the various scientific perspectives used in research today. This approach encourages students to think critically about the research they will encounter in their studies as well as think about ways they can conduct their own research.
Key Topic: This best-selling introduction to statistical analysis in the social sciences provides the right balance of conceptual understanding and step-by-step computational techniques. Key Benefit: Written to be understandable to a broad range of students, particularly those without a strong background in mathematics.
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.
A core statistics text that emphasizes logical inquiry, not math Basic Statistics for Social Research teaches core general statistical concepts and methods that all social science majors must master to understand (and do) social research. Its use of mathematics and theory are deliberately limited, as the authors focus on the use of concepts and tools of statistics in the analysis of social science data, rather than on the mathematical and computational aspects. Research questions and applications are taken from a wide variety of subfields in sociology, and each chapter is organized around one or more general ideas that are explained at its beginning and then applied in increasing detail in the body of the text. Each chapter contains instructive features to aid students in understanding and mastering the various statistical approaches presented in the book, including: Learning objectives Check quizzes after many sections and an answer key at the end of the chapter Summary Key terms End-of-chapter exercises SPSS exercises (in select chapters) Ancillary materials for both the student and the instructor are available and include a test bank for instructors and downloadable video tutorials for students.
A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian statistics. A companion website includes materials that enable readers to use the R statistical computing environment to reproduce and explore computations and visualizations presented in the text. The book is an excellent companion to a "math camp" or a course designed to provide foundational mathematics needed to understand relatively advanced statistical methods.