Numerous examples throughout the book show students what should and should not be done when writing reviews.- Emphasizes critical analysis of reports of empirical research in academic journals--making it ideal as a supplement for research methods courses. This book makes it possible for students to work independently on a critical literature review as a term project.- Nine model literature reviews at the end of the book provide the stimulus for homework assignments and classroom discussions.- The activities at the end of each chapter keep students moving toward their goal of writing a polished, professional review of academic literature.- Most examples include material from recently published research. Includes nine model literature reviews for discussion and evaluation.Table of ContentsChapters1 Writing Reviews of Academic Literature: An Overview2 Considerations in Writing Reviews for Specific Purposes3 Selecting a Topic and Identifying Literature for Review4 General Guidelines for Analyzing Literature5 Analyzing Quantitative Research Literature6 Analyzing Qualitative Research Literature7 Building Tables to Summarize Literature8 Synthesizing Literature Prior to Writing a Review9 Guidelines for Writing a First Draft10 Guidelines for Developing a Coherent Essay11 Guidelines on Style, Mechanics, and Language Usage12 Incorporating Feedback and Refining the First Draft13 Preparing a Reference List14 Comprehensive Self-Editing Checklist for Refining the Final DraftModel Literature Reviews for Discussion and EvaluationReview A: Cyberbullying Among College StudentsJournal of School ViolenceReview B: Waterpipe Smoking Among College Students in the United StatesJournal of American College HealthReview C: The Effect of Student Discussion Frequency on Mathematics AchievementThe Journal of Experimental EducationReview D: Behaviors in Couples With a History of InfidelityJournal of Family PsychologyReview E: The Prevalence of Stalking Among College StudentsJournal of American College HealthReview F: School Social Workers' Experiences With Youth Suicidal BehaviorChildren & SchoolsReview G: Demographic and Academic Trends in Drinking Patterns and Alcohol-Related ProblemsJournal of Alcohol and Drug EducationReview H: Overnight Stays and Children's Relationships With Resident and Nonresident Parents After DivorceJournal of Family IssuesReview I: Language Brokering: An Integrative Review of the LiteratureHispanic Journal of Behavioral SciencesProfessor Reviews"Students have found Writing "Literature reviews one of the most helpful books.... Even students not in the course have gone to the bookstore looking for this book."-- Kathleen N. Bondy, University of Central Arkansas"Lucid, readable, and concise. Excellent detailed table of contents. Good full-length examples of literature reviews."-- Paul K. Dezendorf, East Carolina University"Excellent. A concise, 'task analytic' presentation of the complex steps necessary in writing literature reviews."-- Tom Cooke, Sonoma State University"Readable, concise, clear overview of the subject. My students rave about it. One said, 'I will keep this book for my whole master's [in nursing] program.'"-- Madge M. D

    Discover the “hidden gold” in Python’s standard library and start writing clean and Pythonic code today. Who Should Read This Book: If you’re wondering which lesser known parts in Python you should know about, you’ll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers’ minds in your next code review. If you’ve got experience with legacy versions of Python, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2. If you’ve worked with other programming languages and you want to get up to speed with Python, you’ll pick up the idioms and practical tips you need to become a confident and effective Pythonista. If you want to make Python your own and learn how to write clean and Pythonic code, you’ll discover best practices and little-known tricks to round out your knowledge. What Python Developers Say About The Book: "I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." — Mariatta Wijaya, Python Core Developer"This book makes you write better Python code!" — Bob Belderbos, Software Developer at Oracle"Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." — Ben Felder, Pythonista"It's like having a seasoned tutor explaining, well, tricks!" — Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.

    In this in-depth report, data scientist DJ Patil explains the skills, perspectives, tools and processes that position data science teams for success.Topics include: What it means to be "data driven." The unique roles of data scientists. The four essential qualities of data scientists. Patil's first-hand experience building the LinkedIn data science team.

    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.

    Offering an approach with a visual/graphical emphasis, this text offers a number of examples on the premise that students learn best by doing. This book features an emphasis on interpretation of results and critical thinking over calculations.

    If you're a business or IT professional, this short hands-on guide teaches you how to pull and transform data with SQL in significant ways. You will quickly master the fundamentals of SQL and learn how to create your own databases.Author Thomas Nield provides exercises throughout the book to help you practice your newfound SQL skills at home, without having to use a database server environment. Not only will you learn how to use key SQL statements to find and manipulate your data, but you'll also discover how to efficiently design and manage databases to meet your needs.You'll also learn how to:Explore relational databases, including lightweight and centralized modelsUse SQLite and SQLiteStudio to create lightweight databases in minutesQuery and transform data in meaningful ways by using SELECT, WHERE, GROUP BY, and ORDER BYJoin tables to get a more complete view of your business dataBuild your own tables and centralized databases by using normalized design principlesManage data by learning how to INSERT, DELETE, and UPDATE records

    Data--our data--is mined and processed for profit, power, and political gain. In Living in Data, Thorp asks a crucial question of our time: How do we stop passively inhabiting data, and instead become active citizens of it?Threading a data story through hippo attacks, glaciers, and school gymnasiums, around colossal rice piles, and over active minefields, Living in Data reminds us that the future of data is still wide open, that there are ways to transcend facts and figures and to find more visceral ways to engage with data, that there are always new stories to be told about how data can be used.Punctuated with Thorp's original and informative illustrations, Living in Data not only redefines what data is, but reimagines who gets to speak its language and how to use its power to create a more just and democratic future. Timely and inspiring, Living in Data gives us a much-needed path forward.

    In the tradition of The Long Tail, The Age of the Platform demonstrates how the world of business today is vastly different from that of even 10 years ago.

    The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. If you want to take a hard pass on Knuth's brilliant but impenetrable theories and the dense multi-page proofs you'll find in most textbooks, this is the book for you. This fully-illustrated and engaging guide makes it easy for you to learn how to use algorithms effectively in your own programs.Grokking Algorithms is a disarming take on a core computer science topic. In it, you'll learn how to apply common algorithms to the practical problems you face in day-to-day life as a programmer. You'll start with problems like sorting and searching. As you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression or artificial intelligence. Whether you're writing business software, video games, mobile apps, or system utilities, you'll learn algorithmic techniques for solving problems that you thought were out of your grasp. For example, you'll be able to:Write a spell checker using graph algorithmsUnderstand how data compression works using Huffman codingIdentify problems that take too long to solve with naive algorithms, and attack them with algorithms that give you an approximate answer insteadEach carefully-presented example includes helpful diagrams and fully-annotated code samples in Python. By the end of this book, you will know some of the most widely applicable algorithms as well as how and when to use them.

    More and more leading businesses today use estimation questions in interviews to test applicants' abilities to think on their feet. Guesstimation enables anyone with basic math and science skills to estimate virtually anything--quickly--using plausible assumptions and elementary arithmetic.Lawrence Weinstein and John Adam present an eclectic array of estimation problems that range from devilishly simple to quite sophisticated and from serious real-world concerns to downright silly ones. How long would it take a running faucet to fill the inverted dome of the Capitol? What is the total length of all the pickles consumed in the US in one year? What are the relative merits of internal-combustion and electric cars, of coal and nuclear energy? The problems are marvelously diverse, yet the skills to solve them are the same. The authors show how easy it is to derive useful ballpark estimates by breaking complex problems into simpler, more manageable ones--and how there can be many paths to the right answer. The book is written in a question-and-answer format with lots of hints along the way. It includes a handy appendix summarizing the few formulas and basic science concepts needed, and its small size and French-fold design make it conveniently portable. Illustrated with humorous pen-and-ink sketches, Guesstimation will delight popular-math enthusiasts and is ideal for the classroom.

    R is packed with powerful programming capabilities, but learning to use R in the real world can be overwhelming for even the most seasoned statisticians. This easy-to-follow guide explains how to use R for data processing and statistical analysis, and then, shows you how to present your data using compelling and informative graphics. You'll gain practical experience using R in a variety of settings and delve deeper into R's feature-rich toolset.Includes tips for the initial installation of RDemonstrates how to easily perform calculations on vectors, arrays, and lists of dataShows how to effectively visualize data using R's powerful graphics packagesGives pointers on how to find, install, and use add-on packages created by the R communityProvides tips on getting additional help from R mailing lists and websitesWhether you're just starting out with statistical analysis or are a procedural programming pro, "R For Dummies" is the book you need to get the most out of R.

    Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures

    This encouraging change not only has benefited veterans but also provides a blueprint for salvaging America's own deeply troubled healthcare system. "Best Care Anywhere" shows how a government bureaucracy, working with little notice, is setting the standard for best practices and cost reduction while the private sector is lagging in both areas. Author Phillip Longman challenges conventional wisdom by explaining exactly how market forces work to lower quality and raise prices in the healthcare sector, and how U.S. medical practices have a weak basis in science. The book, expanded from a widely praised article in the "Washington Monthly," mixes hard facts with author Philip Longmans' compelling human story of the loss of his wife to cancer. Part manifesto, part moving memoir, "Best Care Anywhere" offers new hope for addressing a major problem of contemporary society that affects all of us.

    With an eye-catching design, full-color illustrations, and helpful, practical boxed features that highlight need-to-know information, the new edition of this bestseller continues its tradition of making pharmacology easy to learn and understand.A focus on prioritization identifies key nursing information and helps in preparation for the NCLEX(R) Examination.Presents drugs and their classes as they relate to different parts of the body, facilitating integration of the text with your other nursing courses.Features numerous full-color photos and illustrations pertaining to drug mechanisms of action and step-by-step illustrations depicting key steps in drug administration for various routes, so you can clearly see how drugs work in the body and how to administer medications safely and effectively.Drug Profiles highlight the pharmacokinetics and unique variations of individual drugs.Includes Patient Teaching Tips in each chapter to foster patient compliance and effective drug therapy.Helpful summary boxes are integrated throughout, covering Evidence-Based Practice, Preventing Medication Errors, Laboratory Values Related to Drug Therapy, Cultural Implications, Herbal Therapies, Life Span Considerations, Points to Remember, and Legal and Ethical Principles.Illustrated Study Skills Tips in each unit cover study tips, time management, and test taking strategies related specifically to nursing pharmacology.Includes a convenient tear-out IV Compatibilities Chart that alerts you to drugs that are incompatible when given intravenously.Evolve Student Resources include online access to additional chapter-specific NCLEX(R) review questions, animations, medication errors checklists, IV therapy checklists, printable handouts with need-to-know information about key drug classes, calculators, an audio glossary, answers to case studies and critical thinking activities in the text, frequently asked questions, content updates, nursing care plans covering key drug classes, and online appendices. Critical Thinking Activities and Best Action Questions focus on prioritization, challenging you to determine the best action to take.NCLEX(R) Examination Review Questions now include Alternate-Item Format questions, preparing you for these new types of questions found on the NCLEX(R) exam.New case studies have been added, and all cases now include patient photos along with accompanying questions to provoke critical thinking.Pharmacokinetic Bridges to the Nursing Process sections now cover ACE inhibitors, iron, and women's health issues applying key pharmacokinetics information to nursing practice.

    “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