Meticulously prepared, it is one of the most comprehensive, authoritative, up-to-date introductory resources on the market. The book’s extensive examples and exercises help students master the course material, and its lucid writing style makes complex concepts easy to understand.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    Readers will see how the choice of topic influences question wording and how the questions asked influence the analysis. The authors have improved the presentation of matters that students have most trouble with, such as finding an interesting and viable topic, recognizing concepts, learning when and how aggressively to follow up, and figuring out ways to get published.

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

    This unique framework encourages students to view the whole person as the sum of influences and effects of each of the domains of personality functioning. The second edition includes the latest research, as well as a restructuring of material, and continues to bring the subject to life by incorporating a vivid, four-color design.

    Rossi, Mark W. Lipsey, and Howard E. Freeman first published Evaluation: A Systematic Approach, more than 90,000 readers have considered it the premier text on how to design, implement, and appraise social programs through evaluation. In this, the completely revised Seventh Edition, authors Rossi and Lipsey include the latest techniques and approaches to evaluation as well as guidelines to tailor evaluations to fit programs and social contexts.With decades of hands-on experience conducting evaluations, the authors provide scores of examples to help students understand how evaluators deal with various critical issues. They include a glossary of key terms and concepts, making this the most comprehensive and authoritative evaluation text available.Thoroughly revised, the Seventh Edition now includes* Substantially more attention to outcome measurement* Lengthy discussions of program theory, including a section about detecting program effects and interpreting their practical significance* An augmented and updated discussion of major evaluation designs* A detailed exposition of meta-analysis as an approach to the synthesis of evaluation studies* Alternative approaches to evaluation* Examples of successful evaluations* Discussions of the political and social contexts of evaluation

    The realistic content of its examples and exercises, the clarity and brevity of its presentation, and the soundness of its pedagogical approach have received the highest remarks from both students and instructors. Now this bestseller is available in a new 6th edition.

    Each contributor is either an originator or a leading proponent of one of the systems, and each presents the basic principles of the system in a clear and straightforward manner, discussing it in the context of the other systems. Theory chapters include a case example that guides you through the problem, evaluation, treatment, and follow-up process. Accompanying CURRENT PSYCHOTHERAPIES is CASE STUDIES IN PSYCHOTHERAPY, each case demonstrates the basic techniques and methods of the theory being illustrated. This edition retains classic case studies by Harold Mosak, Carl Rogers, Albert Ellis, Arnold Lazarus, and Peggy Papp.

    With richly evocative classroom vignettes provided by practicing teachers, as well as the most case studies - three per chapter - of any Introductory text, Santrock's Educational Psychology helps students think critically about the research basis for best practices. Additionally, Santrock's hallmark Learning System organizes the content into manageable chunks to support retention and mastery, and makes it much more likely that students will have an engaging and successful course experience.

    Emphasizing the importance of the research process, the book shows students how social scientists design research studies, introduces the variety of observation modes used by sociologists, and covers the "how-to's" and "whys" of social research methods. Students learn how to conduct various types of research, when it is appropriate to use each method, and how to analyze qualitative and quantitative data. The 11th edition provides students with the necessary tools for understanding social research methods and for applying these concepts both inside and outside the classroom--as researchers and as consumers of research.

    The most thorough and well-written text in the field, Family Therapy: History, Theory, and Practice, now in its fourth edition, is a comprehensive and developmental textbook that covers all aspects of working with families. The author begins by helping students understand the differences between functional and dysfunctional families, then goes onto explain the basic processes involved in treating couples and families before it delves into a dozen theoretical ways of treating families. Readers will also learn about the history of family therapy, multicultural aspects of family therapy, ways of working with various types of families, ethical and legal issues involved in family therapy, and ways of assessing families. 250 new sources; a new chapter on how to work with couples and marriages in enriching and therapeutic ways; more on diversity issues including working with different forms of European American families, and expanded coverage of working with African-American, Native American Indian, Hispanic/Latino, and Asian-American families; an added section on dealing with infidelity in the addiction/abuse chapter; coverage of transition issues including working with military deployment or extended work assignments; and more information on managed care issues.

    

    In the intervening years, Herman’s volume has changed the way we think about and treat traumatic events and trauma victims. In a new afterword, Herman chronicles the incredible response the book has elicited and explains how the issues surrounding the topic have shifted within the clinical community and the culture at large. Trauma and Recovery brings a new level of understanding to a set of problems usually considered individually. Herman draws on her own cutting-edge research in domestic violence as well as on the vast literature of combat veterans and victims of political terror, to show the parallels between private terrors such as rape and public traumas such as terrorism. The book puts individual experience in a broader political frame, arguing that psychological trauma can be understood only in a social context. Meticulously documented and frequently using the victims’ own words as well as those from classic literary works and prison diaries, Trauma and Recovery is a powerful work that will continue to profoundly impact our thinking.

    Using the recommended APA undergraduate psychology learning outcomes, the authors establish clear learning objectives for students and tie the text assessment to these objectives.

    New features in the Fourth Edition pull together the big questions in each chapter and organize them around a concept map to help students synthesize concepts and see the personal and global applications of a sociological imagination.