This title enables students to grasp key sociological concepts and learn the useful lesson that there is much that goes on in the social world that escapes the sociologically untrained eye.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    Now available with a personalized online learning plan, this social work-specific book looks at lifespan through the lens of social work theory and practice. The authors use an empowerment approach to cover human development and behavior theories within the context of family, organizational, and community systems. Using a chronological lifespan approach, the authors present separate chapters on biological, psychological, and social impacts at the different lifespan stages with an emphasis on strengths and empowerment.

    It givessyntax and output for accomplishing many analyses through the mostrecent releases of SAS, SPSS, and SYSTAT, some not available insoftware manuals. The book maintains its practical approach, stillfocusing on the benefits and limitations of applications of a techniqueto a data set -- when, why, and how to do it. Overall, it providesadvanced students with a timely and comprehensive introduction totoday's most commonly encountered statistical and multivariatetechniques, while assuming only a limited knowledge of higher-levelmathematics.

    What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section at the start of the text. 5. Characters in each chapter have defined roles - summarizing key points, to pose questions etc 6. Each chapter now has several examples for students to work through. Answers provided on the enclosed CD-ROM

    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.

    Robert Kaplan and Dennis Saccuzzo provide students with a current analysis of the most widely used psychological tests in schools, professional training programs, business, industry, the military, and clinical settings. The authors offer a clear picture of how psychological tests are constructed, how they are used, and how an understanding of them can make a difference in their careers and everyday lives. Comprehensive and accurate, yet interesting and personally relevant, this book gets and keeps students' attention through the use of informal discussions and real-life examples.

    It covers the basics of computer programming, including variables and values, functions, conditionals and control flow, program development and debugging. Later chapters cover basic algorithms and data structures.

    Use technology to focus on your students!In this step-by-step guide, teacher and education blogger Catlin Tucker outlines the process for integrating online discussion with face-to-face instruction in a way that empowers teach

    A host of specialists have contributed to the collection. This new edition includes more detailed discussion of a wider range of reference-related services including interlibrary loan, document delivery, and readers' advisory services. There is also increased attention to ethical issues and a stronger focus on user-centered services, both face-to-face and mediated by technology. In addition, the authors discuss Web sites of significant value to reference services and the impact of the Internet and World Wide Web on reference services. This carefully designed and readable text explains the essential theory and provides the practical knowledge necessary for an initial reference course. Its broad scope and organizational clarity will benefit students and practitioners.

    Seasoned researchers and educators Gregory G. Colomb and Joseph M. Williams present an updated third edition of their classic handbook, whose first and second editions were written in collaboration with the late Wayne C. Booth. The Craft of Research explains how to build an argument that motivates readers to accept a claim; how to anticipate the reservations of readers and to respond to them appropriately; and how to create introductions and conclusions that answer that most demanding question, “So what?” The third edition includes an expanded discussion of the essential early stages of a research task: planning and drafting a paper. The authors have revised and fully updated their section on electronic research, emphasizing the need to distinguish between trustworthy sources (such as those found in libraries) and less reliable sources found with a quick Web search. A chapter on warrants has also been thoroughly reviewed to make this difficult subject easier for researchers Throughout, the authors have preserved the amiable tone, the reliable voice, and the sense of directness that have made this book indispensable for anyone undertaking a research project.

    Shipler makes clear in this powerful, humane study, the invisible poor are engaged in the activity most respected in American ideology—hard, honest work. But their version of the American Dream is a nightmare: low-paying, dead-end jobs; the profound failure of government to improve upon decaying housing, health care, and education; the failure of families to break the patterns of child abuse and substance abuse. Shipler exposes the interlocking problems by taking us into the sorrowful, infuriating, courageous lives of the poor—white and black, Asian and Latino, citizens and immigrants. We encounter them every day, for they do jobs essential to the American economy.We meet drifting farmworkers in North Carolina, exploited garment workers in New Hampshire, illegal immigrants trapped in the steaming kitchens of Los Angeles restaurants, addicts who struggle into productive work from the cruel streets of the nation's capital—each life another aspect of a confounding, far-reaching urgent national crisis. And unlike mostworks on poverty, this one delves into the calculations of some employers as well—their razor-thin profits, their anxieties about competition from abroad, their frustrations in finding qualified workers.This impassioned book not only dissects the problems, but makes pointed, informed recommendations for change. It is a book that stands to make a difference.

    Now this classic book has been fully updated and revised with leading-edge practices--and hundreds of new code samples--illustrating the art and science of software construction. Capturing the body of knowledge available from research, academia, and everyday commercial practice, McConnell synthesizes the most effective techniques and must-know principles into clear, pragmatic guidance. No matter what your experience level, development environment, or project size, this book will inform and stimulate your thinking--and help you build the highest quality code. Discover the timeless techniques and strategies that help you: Design for minimum complexity and maximum creativity Reap the benefits of collaborative development Apply defensive programming techniques to reduce and flush out errors Exploit opportunities to refactor--or evolve--code, and do it safely Use construction practices that are right-weight for your project Debug problems quickly and effectively Resolve critical construction issues early and correctly Build quality into the beginning, middle, and end of your project

    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.

    Five years later, one is earning a good salary at a prestigious accounting firm. With no loans to repay, she lives in a fashionable apartment with her fiance. The other woman, saddled with burdensome debt and a low GPA, is still struggling to finish her degree in tourism. In an era of skyrocketing tuition and mounting concern over whether college is "worth it," Paying for the Party is an indispensable contribution to the dialogue assessing the state of American higher education. A powerful expose of unmet obligations and misplaced priorities, it explains in vivid detail why so many leave college with so little to show for it.Drawing on findings from a five-year interview study, Elizabeth Armstrong and Laura Hamilton bring us to the campus of "MU," a flagship Midwestern public university, where we follow a group of women drawn into a culture of status seeking and sororities. Mapping different pathways available to MU students, the authors demonstrate that the most well-resourced and seductive route is a "party pathway" anchored in the Greek system and facilitated by the administration. This pathway exerts influence over the academic and social experiences of all students, and while it benefits the affluent and well-connected, Armstrong and Hamilton make clear how it seriously disadvantages the majority. Eye-opening and provocative, Paying for the Party reveals how outcomes can differ so dramatically for those whom universities enroll.