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

    Readers will see how the choice of topic influences question wording and how the questions asked influence the analysis. The authors have improved the presentation of matters that students have most trouble with, such as finding an interesting and viable topic, recognizing concepts, learning when and how aggressively to follow up, and figuring out ways to get published.

    Fundamentals of Biostatistics with CD-Rom.

    Readers profit from its verbal-conceptual exposition and frequent use of examples.The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying website with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT, at www.psypress.com/9780805822236 .Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

    Bowker and Susan Leigh Star explore the role of categories and standards in shaping the modern world. In a clear and lively style, they investigate a variety of classification systems, including the International Classification of Diseases, the Nursing Interventions Classification, race classification under apartheid in South Africa, and the classification of viruses and of tuberculosis.The authors emphasize the role of invisibility in the process by which classification orders human interaction. They examine how categories are made and kept invisible, and how people can change this invisibility when necessary. They also explore systems of classification as part of the built information environment. Much as an urban historian would review highway permits and zoning decisions to tell a city's story, the authors review archives of classification design to understand how decisions have been made. Sorting Things Out has a moral agenda, for each standard and category valorizes some point of view and silences another. Standards and classifications produce advantage or suffering. Jobs are made and lost; some regions benefit at the expense of others. How these choices are made and how we think about that process are at the moral and political core of this work. The book is an important empirical source for understanding the building of information infrastructures.

    

    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.

    Clandinin and Connelly have created a major tour de force. This book is lucid, fluid, beautifully argued, and rich in examples. Students will find a wealth of arguments to support their research, and teaching faculty will find everything they need to teach narrative inquiry theory and methods.--Yvonna S. Lincoln, professor, Department of Educational Administration, Texas A&M University Understanding experience as lived and told stories--also known as narrative inquiry--has gained popularity and credence in qualitative research. Unlike more traditional methods, narrative inquiry successfully captures personal and human dimensions that cannot be quantified into dry facts and numerical data. In this definitive guide, Jean Clandinin and Michael Connelly draw from more than twenty years of field experience to show how narrative inquiry can be used in educational and social science research. Tracing the origins of narrative inquiry in the social sciences, they offer new and practical ideas for conducting fieldwork, composing field notes, and conveying research results. Throughout the book, stories and examples reveal a wide range of narrative methods. Engaging and easy to read, Narrative Inquiry is a practical resource from experts who have long pioneered the use of narrative in qualitative research.

    Rather than a "how to" for hands-on techies, the book entices lay-readers and experts alike by covering new case studies and the latest state-of-the-art techniques.You have been predicted — by companies, governments, law enforcement, hospitals, and universities. Their computers say, "I knew you were going to do that!" These institutions are seizing upon the power to predict whether you're going to click, buy, lie, or die.Why? For good reason: predicting human behavior combats financial risk, fortifies healthcare, conquers spam, toughens crime fighting, and boosts sales.How? Prediction is powered by the world's most potent, booming unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn.Predictive analytics unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future — lifting a bit of the fog off our hazy view of tomorrow — means pay dirt.In this rich, entertaining primer, former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: -What type of mortgage risk Chase Bank predicted before the recession. -Predicting which people will drop out of school, cancel a subscription, or get divorced before they are even aware of it themselves. -Why early retirement decreases life expectancy and vegetarians miss fewer flights. -Five reasons why organizations predict death, including one health insurance company. -How U.S. Bank, European wireless carrier Telenor, and Obama's 2012 campaign calculated the way to most strongly influence each individual. -How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! -How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. -How judges and parole boards rely on crime-predicting computers to decide who stays in prison and who goes free. -What's predicted by the BBC, Citibank, ConEd, Facebook, Ford, Google, IBM, the IRS, Match.com, MTV, Netflix, Pandora, PayPal, Pfizer, and Wikipedia. A truly omnipresent science, predictive analytics affects everyone, every day. Although largely unseen, it drives millions of decisions, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate.Predictive analytics transcends human perception. This book's final chapter answers the riddle: What often happens to you that cannot be witnessed, and that you can't even be sure has happened afterward — but that can be predicted in advance?Whether you are a consumer of it — or consumed by it — get a handle on the power of Predictive Analytics.

    Using actual unfinished, "working" notes as examples, they illustrate options for composing, reviewing, and working fieldnotes into finished texts. They discuss different organizational and descriptive strategies, including evocation of sensory detail, synthesis of complete scenes, the value of partial versus omniscient perspectives, and of first person versus third person accounts. Of particular interest is the author's discussion of notetaking as a mindset. They show how transforming direct observations into vivid descriptions results not simply from good memory but more crucially from learning to envision scenes as written. A good ethnographer, they demonstrate, must learn to remember dialogue and movement like an actor, to see colors and shapes like a painter, and to sense moods and rhythms like a poet.The authors also emphasize the ethnographer's core interest in presenting the perceptions and meanings which the people studied attach to their own actions. They demonstrate the subtle ways that writers can make the voices of people heard in the texts they produce. Finally, they analyze the "processing" of fieldnotes—the practice of coding notes to identify themes and methods for selecting and weaving together fieldnote excerpts to write a polished ethnography.This book, however, is more than a "how-to" manual. The authors examine writing fieldnotes as an interactive and interpretive process in which the researcher's own commitments and relationships with those in the field inevitably shape the character and content of those fieldnotes. They explore the conscious and unconscious writing choices that produce fieldnote accounts. And they show how the character and content of these fieldnotes inevitably influence the arguments and analyses the ethnographer can make in the final ethnographic tale.This book shows that note-taking is a craft that can be taught. Along with Tales of the Field and George Marcus and Michael Fisher's Anthropology as Cultural Criticism, Writing Ethnographic Fieldnotes is an essential tool for students and social scientists alike.

    of Wisconsin-Madison) and Wichern (Texas A&M U.) present the newest edition of this college text on the statistical methods for describing and analyzing multivariate data, designed for students who have taken two or more statistics courses. The fifth edition includes the addition of seve

    Each week, readers learn a particular feature of strong articles and work on revising theirs accordingly. At the end of twelve weeks, they send their article to a journal. This invaluable resource is the only guide that focuses specifically on publishing humanities and social science journal articles . Key Features Has a proven record of helping graduate students and professors get published: This workbook, developed over a decade of teaching scholarly writers in a range of disciplines at UCLA and around the world, has already helped hundreds to publish their articles in peer-reviewed journals. Demystifies the academic publishing process: This workbook is based on actual research about faculty productivity and peer review, students′ writing triumphs and failures, as well as the author′s experiences as a journal editor and award-winning author. Proceeds step by manageable step: Within the context of clear deadlines, the workbook provides the instruction, exercises, and structure needed to revise a classroom essay, conference paper, dissertation chapter, master′s thesis, or unfinished draft into a journal article and send it to a suitable journal. Targets the biggest writing challenges: This workbook focuses squarely on the most difficult tasks facing scholarly writers, such as getting motivated, making an argument, and creating a logical whole.Writing Your Journal Article in Twelve Weeks can be used individually or in groups, and is particularly appropriate for graduate student professional development courses, junior faculty orientation workshops, post-doc groups, and journal article writing courses.Wendy Laura Belcher is assistant professor of African literature at Princeton University in the Department of Comparative Literature and Center for African American Studies. She has taught journal article writing workshops in North America, Europe, and Africa. Praise for Wendy Belcher and Writing Your Journal Article in Twelve WeeksA comprehensive, well-written and beautifully organized book on publishing articles in the humanities and social sciences that will help its readers write forward with a first-rate guide as good company.--Joan Bolker, author of Writing Your Dissertation in Fifteen Minutes a DayHumorous, direct, authentic ... a seamless weave of experience, anecdote, and research. --Kathleen McHugh, professor and director of the UCLA Center for the Study of WomenA useful text that will be an excellent resource for any writer attempting to publish their work.--Larry Chandler, Graduate StudentWendy Belcher′s book is revolutionizing the way younger scholars perceive academic publishing and radically transforming their level of access to it (and consequently to the profession). It is by far the most readable or practical guide to academic writing on the market. --Beth Goodhue, UCLAWendy′s guidance has been a tremendous help to me, and the book is great for grad students, junior faculty, or anyone who wants to learn how to write and publish more effectively.-Jake Dorman, The University of KansasYour book struck such a nerve because there is a long chain of assumptions in academia that scholars should just know how to do certain things. The relief among faculty is palpable when I explain in groups that few of us -- even those who have been published in journals -- were ever taught properly. And although it helps everyone who cracks it, your book is especially a godsend for faculty from other cultures. -Carole Sargent, Georgetown University Thanks for your wonderful book! -Georgina Green, Graduate StudentAbsolutely LOVE the book! -Karra Bikson, Graduate Student

    New to this edition is coverage of: Improved techniques for evaluating survey questions The latest options available to researchers in using the computer and the internet for surveys Recent methodological findings to enhance survey research With an emphasis on the importance of minimizing nonsampling errors through superior question design, quality interviewing, and high response rates, this book helps readers understand the relationship of data collection to figures and statistics based on the survey-and how much confidence to place in the reported results based on this relationship.

    You will have numerous opportunities to practice statistical techniques through learning checks, examples, demonstrations, and problems. Exam preparation is made easy with a student companion website that provides tutorials, crossword puzzles, flashcards, learning objectives, and more!

    But for some reason they choose to ignore those guidelines and churn out turgid, pompous, and obscure prose. Distinguished sociologist Howard S. Becker, true to his calling, looks for an explanation for this bizarre behavior not in the psyches of his colleagues but in the structure of his profession. In this highly personal and inspirational volume he considers academic writing as a social activity.Both the means and the reasons for writing a thesis or article or book are socially structured by the organization of graduate study, the requirements for publication, and the conditions for promotion, and the pressures arising from these situations create the writing style so often lampooned and lamented. Drawing on his thirty-five years' experience as a researcher, writer, and teacher, Becker exposes the foibles of the academic profession to the light of sociological analysis and gentle humor. He also offers eminently useful suggestions for ways to make social scientists better and more productive writers. Among the topics discussed are how to overcome the paralyzing fears of chaos and ridicule that lead to writer's block; how to rewrite and revise, again and again; how to adopt a persona compatible with lucid prose; how to deal with that academic bugaboo, "the literature." There is also a chapter by Pamela Richards on the personal and professional risks involved in scholarly writing.In recounting his own trials and errors Becker offers his readers not a model to be slavishly imitated but an example to inspire. Throughout, his focus is on the elusive work habits that contribute to good writing, not the more easily learned rules of grammar and punctuation. Although his examples are drawn from sociological literature, his conclusions apply to all fields of social science, and indeed to all areas of scholarly endeavor. The message is clear: you don't have to write like a social scientist to be one.