Written specifically for students with no previous experience of research and research methodology, the writing style is simple and clear and the author presents this complex subject in a straightforward way that empowers readers to tackle research with confidence. The book has been revised and updated to include extended coverage of qualitative research methods in addition to existing comprehensive coverage of quantitative methods. There are also brand new learning features such as reflective questions throughout the text to help students consolidate their knowledge.

    With his inimitable ability to translate complex foreign policy and economic issues, Friedman explains how the flattening of the world happened at the dawn of the 21st century; what it means to countries, companies, communities and individuals; and how governments and societies can, and must, adapt.

    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.

    But power is not merely shifting and dispersing. It is also decaying. Those in power today are more constrained in what they can do with it and more at risk of losing it than ever before. In The End of Power, award-winning columnist and former Foreign Policy editor Moisés Naím illuminates the struggle between once-dominant megaplayers and the new micropowers challenging them in every field of human endeavor. Drawing on provocative, original research, Naím shows how the antiestablishment drive of micropowers can topple tyrants, dislodge monopolies, and open remarkable new opportunities, but it can also lead to chaos and paralysis. Naím deftly covers the seismic changes underway in business, religion, education, within families, and in all matters of war and peace. Examples abound in all walks of life: In 1977, eighty-nine countries were ruled by autocrats while today more than half the world's population lives in democracies. CEO's are more constrained and have shorter tenures than their predecessors. Modern tools of war, cheaper and more accessible, make it possible for groups like Hezbollah to afford their own drones. In the second half of 2010, the top ten hedge funds earned more than the world's largest six banks combined. Those in power retain it by erecting powerful barriers to keep challengers at bay. Today, insurgent forces dismantle those barriers more quickly and easily than ever, only to find that they themselves become vulnerable in the process. Accessible and captivating, Naím offers a revolutionary look at the inevitable end of power—and how it will change your world.

    In addition to explaining the basic moves, this book provides writing templates that show students explicitly how to make these moves in their own writing.

    The book begins with a framework elucidating the transactions between individual development and the child's wider environment, and emphasizing the crucial role of attachment. Key developmental processes and tasks from infancy through middle childhood are then discussed in paired chapters that respectively address how children of different ages typically feel, think, and behave, and how to intervene effectively with those who are having difficulties.

    The result is described as “a thought-provoking visual feast”.

    Like its predecessor, this edition of Academic Writing for Graduate Students" explains understanding the intended audience, the purpose of the paper, and academic genres." includes the use of task-based methodology, analytic group discussion, and genre consciousness-raising." shows how to write summaries and critiques." features "language focus" sections that address linguistic elements as they affect the wider rhetorical objectives." helps students position themselves as junior scholars in their academic communities.The Commentary has also been revised and is available.

    How would these people feel when their prophecy remained unfulfilled? Would they admit the error of their prediction, or would they readjust their reality to make sense of the new circumstances?"We've all experienced the futility of trying to change a strong conviction, especially if the convinced person has some investment in his belief. We're familiar with the variety of ingenious defenses with which people protect their convictions, managing to keep them unscathed thru the most devastating attacks. But human resourcefulness goes beyond simply protecting a belief. Suppose an individual believes something with a whole heart; suppose further a commitment to this belief, suppose irrevocable actions have been taken because of it; finally, suppose evidence, unequivocal and undeniable evidence, that the belief is wrong: what will happen? The individual will frequently emerge, not only unshaken, but even more convinced of the truth of such beliefs than ever before. Indeed, s/he may even show a new fervor about convincing and converting others to this view. How and why does such a response to contradictory evidence come about? This is the question on which this book focuses. We hope that, by the end of the volume, we will have provided an adequate answer to the question, an answer documented by data."When Prophecy Fails is a classic text in social psychology authored by L. Festinger, H. Riecken and S. Schachter. It chronicles the experience of a UFO cult that believed the end of the world was at hand. In effect, it's a sociopsychological study of a modern group that predicted the destruction of the world & the adjustments made when the prediction failed to materialize. "The authors have done something as laudable as it is unusual for social psychologists. They espied a fleeting social movement important to a line of research they were interested in and took after it. They recruited a team of observers, joined the movement & watched it from within under great difficulties until its crisis came and went. Their report is of interest as much for the method as for the substance."--Everett C. Hughes, The American Journal of Sociology.

    However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

    Grounded in the latest knowledge and filled with illustrative examples from diverse institutions, as well as helpful reflection questions, the book's guidance can be put to immediate use. In addition, the authors suggest ways of avoiding common pitfalls and address what to do when faced with budget fluctuations and changing fiscal environments."This book is vitally important for understanding the complex financial underpinnings of higher education. Could there be a more critical time for administrators to add to their knowledge in this area? I don't think so." --EUGENE S. SUNSHINE, senior vice president for business and finance, Northwestern University"The authors have produced an easily readable and valuable resource for board members, administrators, students, faculty, or anyone interested in knowing about budgeting and the budgeting process. Their treatment of the subject is thorough and complete." --LARRY H. DIETZ, vice chancellor for student affairs, Southern Illinois University, Carbondale"This is the best 'nitty-gritty-how-to' book on university budgeting that I have found. My graduate students at both the master's and doctoral levels have found it to be a comprehensive, insightful, and useful tool in their graduate studies." --LINDA KUK, program chair, Higher Education Graduate Programs, and associate professor of education, Colorado State University

    Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more. How do the 3.1 billion A, C, G and T letters of the human genome compare to those of a chimp or a mouse? What do the paths that millions of visitors take through a web site look like? With Visualizing Data, you learn how to answer complex questions like these with thoroughly interactive displays. We're not talking about cookie-cutter charts and graphs. This book teaches you how to design entire interfaces around large, complex data sets with the help of a powerful new design and prototyping tool called "Processing". Used by many researchers and companies to convey specific data in a clear and understandable manner, the Processing beta is available free. With this tool and Visualizing Data as a guide, you'll learn basic visualization principles, how to choose the right kind of display for your purposes, and how to provide interactive features that will bring users to your site over and over. This book teaches you:The seven stages of visualizing data -- acquire, parse, filter, mine, represent, refine, and interact How all data problems begin with a question and end with a narrative construct that provides a clear answer without extraneous details Several example projects with the code to make them work Positive and negative points of each representation discussed. The focus is on customization so that each one best suits what you want to convey about your data set The book does not provide ready-made "visualizations" that can be plugged into any data set. Instead, with chapters divided by types of data rather than types of display, you'll learn how each visualization conveys the unique properties of the data it represents -- why the data was collected, what's interesting about it, and what stories it can tell. Visualizing Data teaches you how to answer questions, not simply display information.

    Illustrations and examples throughout show you how you can apply research to practice. Studying is made easy with a book-specific website that provides you with tutorial quizzes and links to additional related concepts. Outlines, introductions, boxes, chapter endings with main points, review questions and exercises, and internet exercises provide you with the information and practice you need to succeed in this course.

    Why do we mistrust people more in the UK than in Japan? Why do Americans have higher rates of teenage pregnancy than the French? What makes the Swedish thinner than the Greeks? The answer: inequality. This groundbreaking book, based on years of research, provides hard evidence to show how almost everything—-from life expectancy to depression levels, violence to illiteracy-—is affected not by how wealthy a society is, but how equal it is. Urgent, provocative and genuinely uplifting, The Spirit Level has been heralded as providing a new way of thinking about ourselves and our communities, and could change the way you see the world.

    Because almost every aspect of an enterprise is now dependent on technology, the focus of IT security must shift from locking down assets to enabling the business while managing and surviving risk. This compact book discusses business risk from a broader perspective, including privacy and regulatory considerations. It describes the increasing number of threats and vulnerabilities, but also offers strategies for developing solutions. These include discussions of how enterprises can take advantage of new and emerging technologies—such as social media and the huge proliferation of Internet-enabled devices—while minimizing risk. With ApressOpen, content is freely available through multiple online distribution channels and electronic formats with the goal of disseminating professionally edited and technically reviewed content to the worldwide community. Here are some of the responses from reviewers of this exceptional work: “Managing Risk and Information Security is a perceptive, balanced, and often thought-provoking exploration of evolving information risk and security challenges within a business context.  Harkins clearly connects the needed, but often-overlooked linkage and dialog between the business and technical worlds and offers actionable strategies.   The book contains eye-opening security insights that are easily understood, even by the curious layman.” Fred Wettling, Bechtel Fellow, IS&T Ethics & Compliance Officer, Bechtel     “As disruptive technology innovations and escalating cyber threats continue to create enormous information security challenges, Managing Risk and Information Security: Protect to Enable provides a much-needed perspective. This book compels information security professionals to think differently about concepts of risk management in order to be more effective. The specific and practical guidance offers a fast-track formula for developing information security strategies which are lock-step with business priorities.” Laura Robinson, Principal, Robinson Insight Chair, Security for Business Innovation Council (SBIC) Program Director, Executive Security Action Forum (ESAF) “The mandate of the information security function is being completely rewritten. Unfortunately most heads of security haven’t picked up on the change, impeding their companies’ agility and ability to innovate. This book makes the case for why security needs to change, and shows how to get started. It will be regarded as marking the turning point in information security for years to come.” Dr. Jeremy Bergsman, Practice Manager, CEB     “The world we are responsible to protect is changing dramatically and at an accelerating pace. Technology is pervasive in virtually every aspect of our lives. Clouds, virtualization and mobile are redefining computing – and they are just the beginning of what is to come. Your security perimeter is defined by wherever your information and people happen to be.