The Foundations of Statistics in Criminology and Criminal Justice: Companion Learning Guide is a supporting volume for The Foundations of Statistics in Criminology and Criminal Justice written by Kyung-shick Choi and Hyeyoung Lim. Whereas the main text helps students build a knowledge base of analytical methods within the context of criminal justice, this companion learning guide emphasizes practical application. Students are provided with numerous examples and opportunities to practice the measurement of central tendency, variability, probability, confidence intervals, hypothesis testing, regression analysis, the chi-square test, and more. The book also includes IBM SPSS statistical software tutorials specially designed to help students learn data management and data analysis skills using real criminal justice data. An ideal supplementary resource, The Foundations of Statistics in Criminology and Criminal Justice: Companion Learning Guide is well suited for graduate and undergraduate courses in statistics and data analysis in criminology and criminal justice.

In Criminological Theories, the noted criminologist Ronald Akers provides thorough description, discussion, and appraisal of the leading theories of crime/delinquent behavior and law/criminal justice - the origin and history of each theory and its contemporary developments and adherents. Akers offers a clear explanation of each theory (the central concepts and hypotheses of each theory as well as critical criteria for evaluating each theory in terms of its empirical validity). Researchers and librarians, as well as general readers, will find this book a very useful tool and will applaud its clear and understandable exposition of abstract concepts.

The Foundations of Statistics in Criminology and Criminal Justice: Companion Learning Guide is a supporting volume for The Foundations of Statistics in Criminology and Criminal Justice written by Kyung-shick Choi and Hyeyoung Lim. Whereas the main text helps students build a knowledge base of analytical methods within the context of criminal justice, this companion learning guide emphasizes practical application. Students are provided with numerous examples and opportunities to practice the measurement of central tendency, variability, probability, confidence intervals, hypothesis testing, regression analysis, the chi-square test, and more. The book also includes IBM SPSS statistical software tutorials specially designed to help students learn data management and data analysis skills using real criminal justice data. An ideal supplementary resource, The Foundations of Statistics in Criminology and Criminal Justice: Companion Learning Guide is well suited for graduate and undergraduate courses in statistics and data analysis in criminology and criminal justice.

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.

Introductory Statistics 2e provides an engaging, practical, and thorough overview of the core concepts and skills taught in most one-semester statistics courses. The text focuses on diverse applications from a variety of fields and societal contexts, including business, healthcare, sciences, sociology, political science, computing, and several others. The material supports students with conceptual narratives, detailed step-by-step examples, and a wealth of illustrations, as well as collaborative exercises, technology integration problems, and statistics labs. The text assumes some knowledge of intermediate algebra, and includes thousands of problems and exercises that offer instructors and students ample opportunity to explore and reinforce useful statistical skills. This is an adaptation of Introductory Statistics 2e by OpenStax. You can access the textbook as pdf for free at openstax.org. Minor editorial changes were made to ensure a better ebook reading experience. Textbook content produced by OpenStax is licensed under a Creative Commons Attribution 4.0 International License.

Presents an annotated bibliography of general and subject reference books covering the humanities, social and behavioral sciences, history, science, technology, and medicine.