It shows how the components of design interact with each other, and provides a strategy for creating coherent and workable relationships among these design components, highlighting key design issues. Written in an informal, jargon-free style, the new Third Edition incorporates examples and hands-on exercises.

    These leading scholars, each representing diverse academic traditions, have developed a unified approach to valid descriptive and causal inference in qualitative research, where numerical measurement is either impossible or undesirable. Their book demonstrates that the same logic of inference underlies both good quantitative and good qualitative research designs, and their approach applies equally to each.Providing precepts intended to stimulate and discipline thought, the authors explore issues related to framing research questions, measuring the accuracy of data and uncertainty of empirical inferences, discovering causal effects, and generally improving qualitative research. Among the specific topics they address are interpretation and inference, comparative case studies, constructing causal theories, dependent and explanatory variables, the limits of random selection, selection bias, and errors in measurement. Mathematical notation is occasionally used to clarify concepts, but no prior knowledge of mathematics or statistics is assumed. The unified logic of inference that this book explicates will be enormously useful to qualitative researchers of all traditions and substantive fields.

    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.

    One day an invitation arrives. Peyton has been selected to attend a luxurious all-expense-paid seminar in Iceland, where participants, billed as some of the greatest thinkers in the world, will be charged with answering one perplexing question. Meeting her diverse teammates--two neuroscientists, a philosopher, a dance teacher, a collage artist, and a farmer--Peyton wonders what she could ever have to contribute. The ensuing journey of discovery will transform the characters' work, their biases, and themselves. This suspenseful novel shows that the answers you seek can be found in the most unlikely places. It can be read for pleasure, is a great choice for book clubs, and can be used as unique and inspiring reading in qualitative research and other courses in education, sociology, social work, psychology, and communication.

    It combines the author's personal observations based on his extensive research experience with the experiences of other scholars as reflected in the literature. The aim is not only to acquaint students with a blend of elementary and theoretical knowledge in social research but also to guide the researchers with the basic complexities of undertaking research.

    It also stresses the importance of ethics in research and taking the time to properly design and think through any research endeavor.

    Yin's bestselling text provides a complete portal to the world of case study research. With the integration of 11 applications in this edition, the book gives readers access to exemplary case studies drawn from a wide variety of academic and applied fields. Ultimately, Case Study Research and Applications will guide students in the successful design and use of the case study research method. New to this Edition Includes 11 in-depth applications that show how researchers have implemented case study methods successfully. Increases reference to relativist and constructivist approaches to case study research, as well as how case studies can be part of mixed methods projects. Places greater emphasis on using plausible rival explanations to bolster case study quality. Discusses synthesizing findings across case studies in a multiple-case study in more detail Adds an expanded list of 15 fields that have text or texts devoted to case study research. Sharpens discussion of distinguishing research from non-research case studies. The author brings to light at least three remaining gaps to be filled in the future: how rival explanations can become more routinely integrated into all case study research; the difference between case-based and variable-based approaches to designing and analyzing case studies; and the relationship between case study research and qualitative research.

    It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, philosophy, cognitive science, and the health and social sciences. Pearl presents a unified account of the probabilistic, manipulative, counterfactual and structural approaches to causation, and devises simple mathematical tools for analyzing the relationships between causal connections, statistical associations, actions and observations. The book will open the way for including causal analysis in the standard curriculum of statistics, artifical intelligence, business, epidemiology, social science and economics. Students in these areas will find natural models, simple identification procedures, and precise mathematical definitions of causal concepts that traditional texts have tended to evade or make unduly complicated. This book will be of interest to professionals and students in a wide variety of fields. Anyone who wishes to elucidate meaningful relationships from data, predict effects of actions and policies, assess explanations of reported events, or form theories of causal understanding and causal speech will find this book stimulating and invaluable. Professor of Computer Science at the UCLA, Judea Pearl is the winner of the 2008 Benjamin Franklin Award in Computers and Cognitive Science.

    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

    Using lively examples from his and other researchers′ experiences, friendly, practical tips, and a warm, reflective writing style, this second edition has been completely updated and includes new features, such as:Chapter 4 on Linking Up: Provides readers with thoughtful guidelines as to how and where to use theory, what needs to be said about method, some thoughts about the traditional literature review (as well as how to decide whether or not to include this material!) Applications: Give readers the opportunity to put into practice some of Wolcott′s tips to improve or jump-start their own writing Bulleted Reviews: Highlight the key points to remember from each chapterRead the book that will not only enable you to better tell the story of your research in the article, monograph, or dissertation you need to write but also help you to incorporate writing into the essential role it must play in a professional research career.

    From humorous fishing excursions and frightening bear encounters to snow blinding blizzards and quirky characters, they come face to face with the unpredictable Mother Nature and learn the value of friendship, survival, and solitude in a picturesque but harsh life by the sea. Packed with adventures, challenges, and true Alaskan lifestyle.

    Rather than relying on abstract generalizations and theories, van Manen offers an alternative that taps the unique nature of each human situation.The book offers detailed methodological explications and practical examples of hermeneutic-phenomenological inquiry. It shows how to orient oneself to human experience in education and how to construct a textual question which evokes a fundamental sense of wonder, and it provides a broad and systematic set of approaches for gaining experiential material that forms the basis for textual reflections.Van Manen also discusses the part played by language in educational research, and the importance of pursuing human science research critically as a semiotic writing practice. He focuses on the methodological function of anecdotal narrative in human science research, and offers methods for structuring the research text in relation to the particular kinds of questions being studied. Finally, van Manen argues that the choice of research method is itself a pedagogic commitment and that it shows how one stands in life as an educator.

    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.

    Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.

    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.