Here, Peter Elbow emphasizes that the essential activities underlying good writing and the essential exercises promoting it are really not difficult at all.Employing a cookbook approach, Elbow provides the reader (and writer) with various recipes: for getting words down on paper, for revising, for dealing with an audience, for getting feedback on a piece of writing, and still other recipes for approaching the mystery of power in writing. In a new introduction, he offers his reflections on the original edition, discusses the responses from people who have followed his techniques, how his methods may differ from other processes, and how his original topics are still pertinent to today's writer. By taking risks and embracing mistakes, Elbow hopes the writer may somehow find a hold on the creative process and be able to heighten two mentalities--the production of writing and the revision of it.From students and teachers to novelists and poets, Writing with Power reminds us that we can celebrate the uses of mystery, chaos, nonplanning, and magic, while achieving analysis, conscious control, explicitness, and care in whatever it is we set down on paper.

    “Big data” refers to our burgeoning ability to crunch vast collections of information, analyze it instantly, and draw sometimes profoundly surprising conclusions from it. This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data’s ability to predict our future behavior.In this brilliantly clear, often surprising work, two leading experts explain what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards. Big Data is the first big book about the next big thing.www.big-data-book.com

    Using examples from a wide range of disciplines, the authors give readers expert advice on the entire dissertation process: selecting a suitable topic; conducting a literature review; managing data overload; building an argument; presenting the material, data, and results; and working with faculty committees. The entire text has been updated and fresh examples have been added to it. This edition features an up-to-the-minute discussion of online research and the use of software packages. The authors have expanded their coverage of qualitative work, and added information about the use of mixed methods to the book. These updates and more make the Third Edition of Surviving Your Dissertation a must have resource for graduate students.Key Features of the Third Edition: Walks readers through the dissertation process as an ideal mentor would.Devotes more attention to qualitative work, and touches upon mixed methods.Discusses online library resources and completing one′s dissertation via the Internet.Features new material on the use of graphics.Includes information about informed consent forms.

    No matter what type of information or help you need--guidelines, samples, rules, or friendly advice--you'll find it in this handbook.Writers INC is also a multipurpose reference book with full-color maps, useful tables and charts, computer and Internet terms, and a historical time line. Any student interest in writing and learning should have a copy of Writers INC.

    It introduces the analysis of the key elements of language--sounds, words, structures and meanings, and provides a solid foundation in all of the essential topics. The third edition has been extensively revised to include new sections on important contemporary issues in language study, including language and culture, African American English, sign language, and slang. A comprehensive glossary provides useful explanations of technical terms, and each chapter contains a range of new study questions and research tasks, with suggested answers.

    For nearly five centuries the methods and practices of book publishing remained largely unchanged, but at the dawn of the twenty-first century the industry finds itself faced with perhaps the greatest challenges since Gutenberg. A combination of economic pressures and technological change is forcing publishers to alter their practices and think hard about the future of the books in the digital age.In this book - the first major study of trade publishing for more than 30 years - Thompson situates the current challenges facing the industry in an historical context, analysing the transformation of trade publishing in the United States and Britain since the 1960s. He gives a detailed account of how the world of trade publishing really works, dissecting the roles of publishers, agents and booksellers and showing how their practices are shaped by a field that has a distinctive structure and dynamic. This new paperback edition has been thoroughly revised and updated to take account of the most recent developments, including the dramatic increase in ebook sales and its implications for the publishing industry and its future.

    What will academic life be like? How do you discover its tacit rules? Develop the habits and networks needed for success? What issues will you encounter if you re a person of color, or a woman? How is higher education changing? In 199 succinct, and often humorous but seriously practical hints, Paul Gray and David E. Drew share their combined experience of many years as faculty and (recovering) administrators to offer insider advice the kind that 's rarely taught or even talked about in graduate school. For instance, Gray and Drew advise you on what you can do to become known in your field and also to be humble about your Ph.D. They also warn you of the danger points along the Ph.D. path, and the possible stumbling blocks with litigious students. Their hints can cover topics as lofty as quantitative and qualitative methods and as mundane but still as important as negotiating campus parking.For easy reference as you climb the academic ladder, the hints are divided into 15 short chapters and 4 appendices covering the stages and responsibilities of faculty life. As the authors state, It is a good life and it is a lifestyle for which you even get paid . These hints will help you both make a valuable contribution to, and get the most from, academe. And if you arereally penurious, persuade a family member or friend to buy this book for you.

    It also stresses the importance of ethics in research and taking the time to properly design and think through any research endeavor.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

    It shows how the components of design interact with each other, and provides a strategy for creating coherent and workable relationships among these design components, highlighting key design issues. Written in an informal, jargon-free style, the new Third Edition incorporates examples and hands-on exercises.

    The book covers four major topics in field experimentation:

    Using graphics, checklists, and sample forms, this guide readies you for each step of the process, including selecting the committee, getting acclimated to academic writing, preparing for your oral defense, and publishing your research. New features include:A chapter on ethical considerations Expanded coverage of digital data collection and the Internet More detailed information on conducting the literature review A discussion of how to develop a theoretical or conceptual framework

    [It] was due the next day. We were out at our family cabin in Bolinas, and he was at the kitchen table close to tears, surrounded by binder paper and pencils and unopened books on birds, immobilized by the hugeness of the task ahead. Then my father sat down beside him, put his arm around my brother's shoulder, and said. 'Bird by bird, buddy. Just take it bird by bird.'"With this basic instruction always in mind, Anne Lamott returns to offer us a new gift: a step-by-step guide on how to write and on how to manage the writer's life. From "Getting Started,' with "Short Assignments," through "Shitty First Drafts," "Character," "Plot," "Dialogue." all the way from "False Starts" to "How Do You Know When You're Done?" Lamott encourages, instructs, and inspires. She discusses "Writers Block," "Writing Groups," and "Publication." Bracingly honest, she is also one of the funniest people alive.If you have ever wondered what it takes to be a writer, what it means to be a writer, what the contents of your school lunches said about what your parents were really like, this book is for you. From faith, love, and grace to pain, jealousy, and fear, Lamott insists that you keep your eyes open, and then shows you how to survive. And always, from the life of the artist she turns to the art of life.

    4 is an elucidation of the writer's craft by a master practitioner. In a series of playful but expertly wrought essays, John McPhee shares insights he's gathered over his career and refined during his long-running course at Princeton University, where he has launched some of the most esteemed writers of several generations. McPhee offers a definitive guide to the crucial decisions regarding structure, diction, and tone that shape nonfiction pieces, and presents extracts from some of his best-loved work, subjecting them to wry scrutiny. The result is a vivid depiction of the writing process, from reporting to drafting to revising and revising, and revising.More than a compendium of advice, Draft No. 4 is enriched by personal detail and charming reflections on the life of a writer. McPhee describes his enduring relationships with The New Yorker and Farrar, Straus and Giroux, and recalls his early years at Time magazine. Enlivened by his keen sense of writing as a way of being in the world, Draft No. 4 is the long-awaited master class given by America's most renowned writing instructor.