This comprehensive text, appropriate for courses in basic principles, applications, and behavioral research methods, helps students, educators, and practitioners appreciate and begin to acquire the conceptual and technical skills necessary to foster socially adaptive behavior in diverse individuals.

    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.

    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

    The ultimate guide to the ‘what’, ‘how’ and ‘why’ of literature reviewing, the second edition of the classic text shows how the literature review will unlock the full potential of one's research with:A thorough exploration of the literature review process from start to finishTwo brand new chapters explaining the different types of review and evidence and evaluationExtended examples that show you how to apply key techniques and proceduresA new ‘core skills’ framework to help you turn your research experience into employabilityA critical thinking focus that will help you construct convincing arguments and improve your research decisions In combining a critical, philosophical approach with an expertly selected body of practical examples, the Second Edition of Chris Hart's landmark text provides both the intellectual understanding and the technical skills required to produce sophisticated, robust literature reviews of the very highest standard.

    Covering all of the fundamentals in a straightforward, student-friendly manner, it is ideal for undergraduate- and graduate-level courses across the social sciences and also serves as an indispensable guide for researchers. Striking a balance between specific techniques and the underlying logic of scientific inquiry, this book provides a lucid treatment of the four major approaches to research: experimentation, survey research, field research, and the use of available data. Richly developed examples of empirical research and an emphasis on the research process enable students to better understand the real-world application of research methods. The authors also offer a unique chapter (13) advocating a multiple-methods strategy.

    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.

     Douglas Montgomery arms readers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. He shows how to use statistically designed experiments to obtain information for characterization and optimization of systems, improve manufacturing processes, and design and develop new processes and products. You will also learn how to evaluate material alternatives in product design, improve the field performance, reliability, and manufacturing aspects of products, and conduct experiments effectively and efficiently. Discover how to improve the quality and efficiency of working systems with this highly-acclaimed book. This 6th Edition: Places a strong focus on the use of the computer, providing output from two software products: Minitab and DesignExpert. Presents timely, new examples as well as expanded coverage on adding runs to a fractional factorial to de-alias effects. Includes detailed discussions on how computers are currently used in the analysis and design of experiments. Offers new material on a number of important topics, including follow-up experimentation and split-plot design. Focuses even more sharply on factorial and fractional factorial design.

    Each week, readers learn a particular feature of strong articles and work on revising theirs accordingly. At the end of twelve weeks, they send their article to a journal. This invaluable resource is the only guide that focuses specifically on publishing humanities and social science journal articles . Key Features Has a proven record of helping graduate students and professors get published: This workbook, developed over a decade of teaching scholarly writers in a range of disciplines at UCLA and around the world, has already helped hundreds to publish their articles in peer-reviewed journals. Demystifies the academic publishing process: This workbook is based on actual research about faculty productivity and peer review, students′ writing triumphs and failures, as well as the author′s experiences as a journal editor and award-winning author. Proceeds step by manageable step: Within the context of clear deadlines, the workbook provides the instruction, exercises, and structure needed to revise a classroom essay, conference paper, dissertation chapter, master′s thesis, or unfinished draft into a journal article and send it to a suitable journal. Targets the biggest writing challenges: This workbook focuses squarely on the most difficult tasks facing scholarly writers, such as getting motivated, making an argument, and creating a logical whole.Writing Your Journal Article in Twelve Weeks can be used individually or in groups, and is particularly appropriate for graduate student professional development courses, junior faculty orientation workshops, post-doc groups, and journal article writing courses.Wendy Laura Belcher is assistant professor of African literature at Princeton University in the Department of Comparative Literature and Center for African American Studies. She has taught journal article writing workshops in North America, Europe, and Africa. Praise for Wendy Belcher and Writing Your Journal Article in Twelve WeeksA comprehensive, well-written and beautifully organized book on publishing articles in the humanities and social sciences that will help its readers write forward with a first-rate guide as good company.--Joan Bolker, author of Writing Your Dissertation in Fifteen Minutes a DayHumorous, direct, authentic ... a seamless weave of experience, anecdote, and research. --Kathleen McHugh, professor and director of the UCLA Center for the Study of WomenA useful text that will be an excellent resource for any writer attempting to publish their work.--Larry Chandler, Graduate StudentWendy Belcher′s book is revolutionizing the way younger scholars perceive academic publishing and radically transforming their level of access to it (and consequently to the profession). It is by far the most readable or practical guide to academic writing on the market. --Beth Goodhue, UCLAWendy′s guidance has been a tremendous help to me, and the book is great for grad students, junior faculty, or anyone who wants to learn how to write and publish more effectively.-Jake Dorman, The University of KansasYour book struck such a nerve because there is a long chain of assumptions in academia that scholars should just know how to do certain things. The relief among faculty is palpable when I explain in groups that few of us -- even those who have been published in journals -- were ever taught properly. And although it helps everyone who cracks it, your book is especially a godsend for faculty from other cultures. -Carole Sargent, Georgetown University Thanks for your wonderful book! -Georgina Green, Graduate StudentAbsolutely LOVE the book! -Karra Bikson, Graduate Student

    Now that machine learning is thriving, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn how to use a range of techniques, starting with simple Linear Regression and progressing to Deep Neural Networks. If you have some programming experience and you’re ready to code a machine learning project, this guide is for you.This hands-on book shows you how to use:Scikit-Learn, an accessible framework that implements many algorithms efficiently and serves as a great machine learning entry pointTensorFlow, a more complex library for distributed numerical computation, ideal for training and running very large neural networksPractical code examples that you can apply without learning excessive machine learning theory or algorithm details

    No previous knowledge of statistics is assumed, and mathematical background is assumed to be minimal (lowest-level high-school algebra). This text may be used in a one or two course sequence. Such sequences are commonly required of social science graduate students in sociology, political science, and psychology. Students in geography, anthropology, journalism, and speech also are sometimes required to take at least one statistics course.

    This book also takes into account the period of emerging adulthood (ages 18-25), an area sometimes neglected but of particular interest to many students who see themselves reflected in the research. Looking for additional resources to help you understand the material and succeed in this course? MyDevelopmentLab contains study tools such as flashcards, self tests, videos, as well as MyVirtulTeen which allows you to raise your own virtual teenager, focusing on the ages 10 through 18. MyDevelpmentLab is available at www.mydevelopmentlab.com.

    This essential resource includes the most current information on theory, research, and practice at individual, interpersonal, and community and group levels. This edition includes substantial new content on current and emerging theories of health communication, e-health, culturally diverse communities, health promotion, the impact of stress, the importance of networks and community, social marketing, and evaluation.

    It has sold 30,000 copies in each edition and will continue to reach a huge academic audience.In this renowned book, Everett M. Rogers, professor and chair of the Department of Communication & Journalism at the University of New Mexico, explains how new ideas spread via communication channels over time. Such innovations are initially perceived as uncertain and even risky. To overcome this uncertainty, most people seek out others like themselves who have already adopted the new idea. Thus the diffusion process consists of a few individuals who first adopt an innovation, then spread the word among their circle of acquaintances--a process which typically takes months or years. But there are exceptions: use of the Internet in the 1990s, for example, may have spread more rapidly than any other innovation in the history of humankind. Furthermore, the Internet is changing the very nature of diffusion by decreasing the importance of physical distance between people. The fifth edition addresses the spread of the Internet, and how it has transformed the way human beings communicate and adopt new ideas.

    Learn how to apply the principles of motivation in such settings as schools, the workplace, the athletic field, counseling, and one's own personal strivings. Features:Comprehensive coverage: all aspects of motivation study, including biological, cognitive, social, etc.Practical perspective on motivation study numerous how-to applications that show how to motivate yourself and others.Clear and concise writing style translates the research in ways that are easy to understand.

    Psychology of Learning for Instruction, Third Edition, focuses on the applications and implications of the learning theories. Using excellent examples ranging from primary school instruction to corporate training, this text combines the latest thinking and research to give readers the opportunity to explore the individual theories as viewed by the experts. Readers are encouraged to apply "reflective practice," which is designed to foster a critical and reflective mode of thinking when considering any particular approach to learning and instruction. Provides readers with the practical knowledge needed to apply learning theories to instruction. KEY TOPICS: This text addresses learning as it relates to behavior, cognition, development, biology, motivation and instruction. MARKET: Pre-service and in-service teachers, and educational psychologists.