All chapters have been thoroughly updated with the latest information as well as new case studies, practice questions, and exercises. This latest edition not only covers the how of clinical testing but also places greater emphasis on the what, why, and when in order to meet the needs of today's clinical laboratorians. A companion Website offers the full text online, objectives, a quiz bank, flashcards, glossary, and appendices for students and improved instructor's resources.

    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.

    R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. Statistics: An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing. * Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology. * Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data. * The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing. * Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling. * Includes numerous worked examples and exercises within each chapter. * Accompanied by a website featuring worked examples, data sets, exercises and solutions: http: //www.imperial.ac.uk/bio/research/crawl... Statistics: An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

    Defined as an argument about why the topic of a study matters, and why the methods proposed to study it are appropriate and rigorous, the book explores the conceptual framework as both a process and a framework that helps to direct and ground researchers as they work through common research challenges.

    The groundbreaking works that comprise The Uncanny present some of his most influential explorations of the mind. In these pieces Freud investigates the vivid but seemingly trivial childhood memories that often "screen" deeply uncomfortable desires; the links between literature and daydreaming; and our intensely mixed feelings about things we experience as "uncanny." Also included is Freud's celebrated study of Leonardo Da Vinci-his first exercise in psychobiography.For more than seventy years, Penguin has been the leading publisher of classic literature in the English-speaking world. With more than 1,700 titles, Penguin Classics represents a global bookshelf of the best works throughout history and across genres and disciplines. Readers trust the series to provide authoritative texts enhanced by introductions and notes by distinguished scholars and contemporary authors, as well as up-to-date translations by award-winning translators.

    But what if science itself can’t be relied on?Medicine, education, psychology, health, parenting – wherever it really matters, we look to science for advice. Science Fictions reveals the disturbing flaws that undermine our understanding of all of these fields and more.While the scientific method will always be our best and only way of knowing about the world, in reality the current system of funding and publishing science not only fails to safeguard against scientists’ inescapable biases and foibles, it actively encourages them. From widely accepted theories about ‘priming’ and ‘growth mindset’ to claims about genetics, sleep, microbiotics, as well as a host of drugs, allergies and therapies, we can trace the effects of unreliable, overhyped and even fraudulent papers in austerity economics, the anti-vaccination movement and dozens of bestselling books – and occasionally count the cost in human lives.Stuart Ritchie was among the first people to help expose these problems. In this vital investigation, he gathers together the evidence of their full and shocking extent – and how a new reform movement within science is fighting back. Often witty yet deadly serious, Science Fictions is at the vanguard of the insurgency, proposing a host of remedies to save and protect this most valuable of human endeavours from itself.

    In this new Seventh Edition of his perennially successful social research text, author Russell K. Schutt continues to make research come alive through stories that illustrate the methods presented in each chapter, and hands-on exercises that help students learn by doing. Investigating the Social World helps readers understand research methods as an integrated whole, appreciate the value of both qualitative and quantitative methodologies, and understand the need to make ethical research decisions. New to this Edition: * upgraded coverage of research methods to include the spread of cell phones and the use of the Internet, including expanded coverage of Web surveys * larger page size in full color allows for better display of pedagogical features * new 'Research in the News' boxes included within chapters * more international examples * expanded statistics coverage now includes more coverage of inferenctial statistics and regression analysi

    This book has two underlying themes that are more or less independent of the statistical hypothesis tests that are the main content of the book. The first theme is the importance of looking at the data before formulating a hypothesis. With this in mind, the author discusses, in detail, plotting data, looking for outliers, and checking assumptions (Graphical displays are used extensively). The second theme is the importance of the relationship between the statistical test to be employed and the theoretical questions being posed by the experiment. To emphasize this relationship, the author uses real examples to help the student understand the purpose behind the experiment and the predictions made by the theory. Although this book is designed for students at the intermediate level or above, it does not assume that students have had either a previous course in statistics or a course in math beyond high-school algebra.

    Reviewed are fundamental statistical concepts--such as correlation, regressions, data preparation and screening, path analysis, and confirmatory factor analysis--as well as more advanced methods, including the evaluation of nonlinear effects, measurement models and structural regression models, latent growth models, and multilevel SEM. The companion Web page offers data and program syntax files for many of the research examples, electronic overheads that can be downloaded and printed by instructors or students, and links to SEM-related resources.

    Politicians and marketers present shoddy evidence for dubious claims all the time. But smart people make mistakes too, and when it comes to statistics, plenty of otherwise great scientists--yes, even those published in peer-reviewed journals--are doing statistics wrong."Statistics Done Wrong" comes to the rescue with cautionary tales of all-too-common statistical fallacies. It'll help you see where and why researchers often go wrong and teach you the best practices for avoiding their mistakes.In this book, you'll learn: - Why "statistically significant" doesn't necessarily imply practical significance- Ideas behind hypothesis testing and regression analysis, and common misinterpretations of those ideas- How and how not to ask questions, design experiments, and work with data- Why many studies have too little data to detect what they're looking for-and, surprisingly, why this means published results are often overestimates- Why false positives are much more common than "significant at the 5% level" would suggestBy walking through colorful examples of statistics gone awry, the book offers approachable lessons on proper methodology, and each chapter ends with pro tips for practicing scientists and statisticians. No matter what your level of experience, "Statistics Done Wrong" will teach you how to be a better analyst, data scientist, or researcher.

    Covering all of the fundamentals in a straightforward, student-friendly manner, it is ideal for undergraduate- and graduate-level courses across the social sciences and also serves as an indispensable guide for researchers. Striking a balance between specific techniques and the underlying logic of scientific inquiry, this book provides a lucid treatment of the four major approaches to research: experimentation, survey research, field research, and the use of available data. Richly developed examples of empirical research and an emphasis on the research process enable students to better understand the real-world application of research methods. The authors also offer a unique chapter (13) advocating a multiple-methods strategy.

    A general theoretical section introduces recent work on fantasy, notably Tzventan Todorov's The Fantastic: A Structural Approach to a Literary Genre (1973). Dr Jackson, however, extends Todorov's ideas to include aspects of psychoanalytical theory. Seeing fantasy as primarily an expression of unconscious drives, she stresses the importance of the writings of Freud and subsequent theorists when analysing recurrent themes, such as doubling or multiplying selves, mirror images, metamorphosis and bodily disintegration.^l Gothic fiction, classic Victorian fantasies, the 'fantastic realism' of Dickens and Dostoevsky, tales by Mary Shelley, James Hogg, E.T.A. Hoffmann, George Eliot, Henry James, Joseph Conrad, R.L. Stevenson, Franz Kafka, Mervyn Peake and Thomas Pynchon are among the texts covered. Through a reading of thse frequently disquieting works, Dr Jackson moves towards a definition of fantasy expressing cultural unease. These issues are discussed in relation to a wide range of fantasies with varying images of desire and disenchantment.

    To the right listener, they tell us all about themselves: where they came from, how they lived, how they died - and who killed them. Forensic scientists can unlock the mysteries of the past and help justice to be done using the messages left by a corpse, a crime scene or the faintest of human traces. Forensics uncovers the secrets of forensic medicine, drawing on interviews with top-level professionals, ground-breaking research and Val McDermid's own experience to lay bare the secrets of this fascinating science. And, along the way, she wonders at how maggots collected from a corpse can help determine time of death, how a DNA trace a millionth the size of a grain of salt can be used to convict a killer and how a team of young Argentine scientists led by a maverick American anthropologist uncovered the victims of a genocide.In her crime novels, Val McDermid has been solving complex crimes and confronting unimaginable evil for years. Now, she's looking at the people who do it for real, and real crime scenes. It's a journey that will take her to war zones, fire scenes and autopsy suites, and bring her into contact with extraordinary bravery and wickedness, as she traces the history of forensics from its earliest beginnings to the cutting-edge science of the modern day.

    In this widely acclaimed work, Benedict Anderson examines the creation and global spread of the 'imagined communities' of nationality.Anderson explores the processes that created these communities: the territorialization of religious faiths, the decline of antique kingship, the interaction between capitalism and print, the development of vernacular languages-of-state, and changing conceptions of time. He shows how an originary nationalism born in the Americas was modularly adopted by popular movements in Europe, by the imperialist powers, and by the anti-imperialist resistances in Asia and Africa.This revised edition includes two new chapters, one of which discusses the complex role of the colonialist state's mindset in the develpment of Third World nationalism, while the other analyses the processes by which, all over the world, nations came to imagine themselves as old.

    His work on the fantastic is indeed about a historical phenomenon that we recognize, about specific works that we may read, but it is also about the use and abuse of generic theory.As an essay in fictional poetics, The Fantastic is consciously structuralist in its approach to the generic subject. Todorov seeks linguistic bases for the structural features he notes in a variety of fantastic texts, including Potocki's The Sargasso Manuscript, Nerval's Aur lia, Balzac's The Magic Skin, the Arabian Nights, Cazotte's Le Diable Amoureux, Kafka's The Metamorphosis, and tales by E. T. A. Hoffman, Charles Perrault, Guy de Maupassant, Nicolai Gogol, and Edgar A. Poe.