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The Primate Origins of Human Nature (Volume 3 in The Foundations of Human Biology series) blends several elements from evolutionary biology as applied to primate behavioral ecology and primate psychology, classical physical anthropology and evolutionary psychology of humans. However, unlike similar books, it strives to define the human species relative to our living and extinct relatives, and thus highlights uniquely derived human features. The book features a truly multi-disciplinary, multi-theory, and comparative species approach to subjects not usually presented in textbooks focused on humans, such as the evolution of culture, life history, parenting, and social organization.

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Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text blends necessary background information and formulas for statistical procedures with data analyses illustrating techniques such as log- linear modeling and logistic regression analysis. Provides techniques for analyzing categorical data from a communication studies perspective Provides an accessible presentation of techniques for analyzing categorical data for communication scholars and other social scientists working at the advanced undergraduate and graduate teaching levels Illustrated with examples from different types of communication research such as health, political and sports communication and entertainment Includes exercises at the end of each chapter and a companion website containing exercise answers and chapter-by-chapter PowerPoint slides

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The Prevention of Crime provides a unique and comprehensive overview of effective crime prevention programs, strategies and policies, demonstrating how criminological theories, research, and practice are interrelated. Offers the most cutting-edge, comprehensive summaries of effective interventions based on the latest research, by the foremost scholars on the topic of crime prevention in the U.S Provides unique practical information and discussions on how to effectively replicate prevention strategies in communities and criminal-justice settings is highly relevant to students, providing them with the latest research in this area Coverage of multiple theories of crime includes the more recent public-health and life-course developmental perspectives Includes a comprehensive review of the increasing number of effective crime prevention interventions and the practicalities of ensuring that these programs, practices and policies are effectively implemented, both in the U.S and in other countries Presents the most cutting-edge current and optimistic view regarding crime prevention: that it is possible to effectively reduce crime but that efforts need to start early in communities and continue through the life-course

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A one-of-a-kind guide to identifying and dealing with modern statistical developments in causality Written by a group of well-known experts, Statistics and Causality: Methods for Applied Empirical Research focuses on the most up-to-date developments in statistical methods in respect to causality. Illustrating the properties of statistical methods to theories of causality, the book features a summary of the latest developments in methods for statistical analysis of causality hypotheses. The book is divided into five accessible and independent parts. The first part introduces the foundations of causal structures and discusses issues associated with standard mechanistic and difference-making theories of causality. The second part features novel generalizations of methods designed to make statements concerning the direction of effects. The third part illustrates advances in Granger-causality testing and related issues. The fourth part focuses on counterfactual approaches and propensity score analysis. Finally, the fifth part presents designs for causal inference with an overview of the research designs commonly used in epidemiology. Statistics and Causality: Methods for Applied Empirical Research also includes: New statistical methodologies and approaches to causal analysis in the context of the continuing development of philosophical theories End-of-chapter bibliographies that provide references for further discussions and additional research topics Discussions on the use and applicability of software when appropriate Statistics and Causality: Methods for Applied Empirical Research is an ideal reference for practicing statisticians, applied mathematicians, psychologists, sociologists, logicians, medical professionals, epidemiologists, and educators who want to learn more about new methodologies in causal analysis. The book is also an excellent textbook for graduate-level courses in causality and qualitative logic.

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A comprehensive and authoritative overview of ancient material culture from the late Pleistocene to Late Antiquity Features up-to-date surveys and the latest information from major new excavations such as Qatna (Syria), Göbekli Tepe (Turkey) Includes a diverse range of perspectives by senior, mid-career and junior scholars in Europe, USA, Britain, Australia, and the Middle East for a truly international group Includes major reviews of the origins of agriculture, animal domestication, and archaeological landscapes Includes chapters dealing with periods after the coming of Alexander the Great, including studies of the Seleucid, Arsacid, Sasanian, Roman and Byzantine empires in the Near East, as well as early Christianity in both the Levant and Mesopotamia Fills a gap in literature of the Ancient Near East, dealing with topics often overlooked, including ethical and legal issues in antiquities markets and international scholarship

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Provides a step-by-step approach to statistical procedures to analyze data and conduct research, with detailed sections in each chapter explaining SPSS® and Excel® applications This book identifies connections between statistical applications and research design using cases, examples, and discussion of specific topics from the social and health sciences. Researched and class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations for both the novice and professional alike to understand the fundamental statistical practices for organizing, analyzing, and drawing conclusions from research data in their field. The book begins with an introduction to descriptive and inferential statistics and then acquaints readers with important features of statistical applications (SPSS and Excel) that support statistical analysis and decision making. Subsequent chapters treat the procedures commonly employed when working with data across various fields of social science research. Individual chapters are devoted to specific statistical procedures, each ending with lab application exercises that pose research questions, examine the questions through their application in SPSS and Excel, and conclude with a brief research report that outlines key findings drawn from the results. Real-world examples and data from social and health sciences research are used throughout the book, allowing readers to reinforce their comprehension of the material. Using Statistics in the Social and Health Sciences with SPSS® and Excel® includes: • Use of straightforward procedures and examples that help students focus on understanding of analysis and interpretation of findings • Inclusion of a data lab section in each chapter that provides relevant, clear examples • Introduction to advanced statistical procedures in chapter sections (e.g., regression diagnostics) and separate chapters (e.g., multiple linear regression) for greater relevance to real-world research needs Emphasizing applied statistical analyses, this book can serve as the primary text in undergraduate and graduate university courses within departments of sociology, psychology, urban studies, health sciences, and public health, as well as other related departments. It will also be useful to statistics practitioners through extended sections using SPSS® and Excel® for analyzing data. Martin Lee Abbott, PhD, is Professor of Sociology at Seattle Pacific University, where he has served as Executive Director of the Washington School Research Center, an independent research and data analysis center funded by the Bill & Melinda Gates Foundation. Dr. Abbott has held positions in both academia and industry, focusing his consulting and teaching in the areas of statistical procedures, program evaluation, applied sociology, and research methods. He is the author of Understanding Educational Statistics Using Microsoft Excel® and SPSS®, The Program Evaluation Prism: Using Statistical Methods to Discover Patterns, and Understanding and Applying Research Design, also from Wiley.

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Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox’ Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.

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The latest edition of this classic text has been updated to reflect current trends and implications for future demographic developments. The areas of Africa, international migration and population and environment have been strengthened and statistical information has been updated throughout. A new edition of this classic history of demography text, which has been updated to strengthen the major subject areas of Africa, international migration and population and the environment Includes the latest statistical information, including the 2015 UN population projections revision and developments in China's population policy Information is presented in a clear and simple form, with academic material presented accessibly for the undergraduate audience whilst still maintaining the interest of higher level students and scholars The text covers issues that are crucial to the future of every species by encouraging humanity's search for ways to prevent future demographic catastrophes brought about by environmental or human agency Analyses the changing patterns of world population growth, including the effects of migration, war, disease, technology and culture

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A Companion to Popular Culture is a landmark survey of contemporary research in popular culture studies that offers a comprehensive and engaging introduction to the field. Includes over two dozen essays covering the spectrum of popular culture studies from food to folklore and from TV to technology Features contributions from established and up-and-coming scholars from a range of disciplines Offers a detailed history of the study of popular culture Balances new perspectives on the politics of culture with in-depth analysis of topics at the forefront of popular culture studies

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The Handbook of Deviance is a definitive reference for professionals, researchers, and students that provides a comprehensive and engaging introduction to the sociology of deviance. Composed of over 30 essays written by an international array of scholars and meticulously edited by one of the best known authorities on the study of deviance Features chapters on cutting-edge topics, such as terrorism and environmental degradation as forms of deviance Each chapter includes a critical review of what is known about the topic, the current status of the topic, and insights about the future of the topic Covers recent theoretical innovations in the field, including the distinction between positivist and constructionist perspectives on deviance, and the incorporation of physical appearance as a form of deviance

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