Readers will develop an understanding of the multiple research methods and strategies used in education and related fields, the ability to read and critically evaluate published research, and the ability to write a proposal, construct a questionnaire, and conduct an empirical research study on their own.

    The book covers four major topics in field experimentation:

    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.

    They're the kids who don't just do their homework, but pick up books and magazines to read for pleasure. Yet even parents who love to read sometimes find that their kids don't enjoy books. Now, Mary Leonhardt shows how to awaken, or reawaken, a child to the joy of reading. She even identifies the seven stages that children go through as they develop their reading skills and outlines what parents can do to help them along. Her advice is clear, down-to-earth, and proven effective.

    

    These include teachers, social workers and health service professionals, managers and specialists in business, architects, designers, criminologists and accountants among many others.Real World Research provides a clear route-map of the various steps needed to carry out a piece of applied research to a high professional standard. It is accessible to those without a social science background while providing rigorous and fully up-to-date coverage of contemporary issues and debates. It brings together materials and approaches from different social science disciplines, seeing value in both quantitative and qualitative approaches, as well as their combination in mixed-method designs.

    There's a solution: With this book, you learn by doing, getting your feet wet immediately as you progress through a series of hands-on projects that build on your growing Photoshop knowledge. Simple step-by-step instructions, review questions at the end of each chapter, and a companion CD with all of the book's project files make learning a breeze as the Adobe Creative Team takes you on a self-paced tour of the image-editing powerhouse. This bestselling guide has been completely revised to cover all of Photoshop CS2's new features, which include advanced tools for digital photographers, such as a new Spot Healing Brush for correcting scratches or blemishes, and Smart Sharpen for fixing photo blurring. Photoshop CS2 also includes loads of new creative tools, such as Vanishing Point and Image Warp. This comprehensive guide starts with an introductory tour of the software and then progresses on through lessons on everything from Photoshop's interface to more complex topics like color management, Web graphics, and photo retouching."

    Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition's presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman′s original research studies are profiled and accompanied with new examples from Salda�a′s recent qualitative work. The book′s most celebrated chapter, Drawing and Verifying Conclusions, is retained and revised, and the chapter on report writing has been greatly expanded, and is now called Writing About Qualitative Research. Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.

    Carolyn Ellis, the leading proponent of these methods, does not disappoint. She weaves both methodological advice and her own personal stories into an intriguing narrative about a fictional graduate course she instructs. In it, you learn about her students and their projects and understand the wide array of topics and strategies that fall under the label autoethnography. Through Ellis's interactions with her students, you are given useful strategies for conducting a study, including the need for introspection, the struggles of the budding ethnographic writer, the practical problems in explaining results of this method to outsiders, and the moral and ethical issues that get raised in this intimate form of research. Anyone who has taken or taught a course on ethnography will recognize these issues and appreciate Ellis's humanistic, personal, and literary approach toward incorporating them into her work. A methods text or a novel? The Ethnographic 'I' answers yes to both.

    It is the quality of these, whatever the size of the organisation, which make the difference between organisations which thrive, and those which stagnate.This is not to argue for soft, easy and comfortable options. Instead it considers how top leaders manage to walk the line between the impossible and the possible, between the undoable and the doable, and to create conditions for productive work which transcend the difficulties which come towards us every day. Instead of dodging them, they embrace them. And by navigating high challenge, low threat, they show how others how to do the same.

    We'll walk you through the key steps for every part of the process, and while it may seem repetitive at times, we want to make sure you have exactly the information you need, when you need it.And don't forget — this is a process! Publishing on Kindle is easy and takes only 5 minutes of your time — but correctly preparing your book for success on Kindle takes time and effort. Don't worry; if you follow the steps we outline here, you should feel confident you'll end up with a successfully designed and formatted book and one you will be proud to see for sale on Amazon.

    Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package—PMTK (probabilistic modeling toolkit)—that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.

    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

    We obsess over our emails, Instagram likes, and Facebook feeds; we binge on TV episodes and YouTube videos; we work longer hours each year; and we spend an average of three hours each day using our smartphones. Half of us would rather suffer a broken bone than a broken phone, and Millennial kids spend so much time in front of screens that they struggle to interact with real, live humans. In this revolutionary book, Adam Alter, a professor of psychology and marketing at NYU, tracks the rise of behavioral addiction, and explains why so many of today's products are irresistible. Though these miraculous products melt the miles that separate people across the globe, their extraordinary and sometimes damaging magnetism is no accident. The companies that design these products tweak them over time until they become almost impossible to resist. By reverse engineering behavioral addiction, Alter explains how we can harness addictive products for the good—to improve how we communicate with each other, spend and save our money, and set boundaries between work and play—and how we can mitigate their most damaging effects on our well-being, and the health and happiness of our children.

    Wolfram lets the world see his work in A New Kind of Science, a gorgeous, 1,280-page tome more than a decade in the making. With patience, insight, and self-confidence to spare, Wolfram outlines a fundamental new way of modeling complex systems. On the frontier of complexity science since he was a boy, Wolfram is a champion of cellular automata--256 "programs" governed by simple nonmathematical rules. He points out that even the most complex equations fail to accurately model biological systems, but the simplest cellular automata can produce results straight out of nature--tree branches, stream eddies, and leopard spots, for instance. The graphics in A New Kind of Science show striking resemblance to the patterns we see in nature every day. Wolfram wrote the book in a distinct style meant to make it easy to read, even for nontechies; a basic familiarity with logic is helpful but not essential. Readers will find themselves swept away by the elegant simplicity of Wolfram's ideas and the accidental artistry of the cellular automaton models. Whether or not Wolfram's revolution ultimately gives us the keys to the universe, his new science is absolutely awe-inspiring. --Therese Littleton