Social research and statistics Books

Book SynopsisWritten in an accessible, practical and jargon-free style, this useful book informs and inspires researchers by showing readers why, when, and how to use creative methods in their research.Trade Review“Inviting the researcher to make the research process attractively creative, Kara extends the scope of the western research tradition, while simultaneously demonstrating rapid growth in the creative research sphere.” Chats Devroop, University of KwaZulu-Natal"Thank goodness for Helen Kara's work. Written in an easily accessible style, Kara tells it like it is and guides her readers beyond her own text to further reading and exploration. In terms of getting bang for one's buck, this is exactly what a second edition should be - substantively re-worked from the first edition, with considerable new content and chapters." Sharon Inglis, Staffordshire University"A really insightful book with broad coverage of creative methods, an excellent 'go to' text for students who are considering using creative research methods. I find particularly valuable the inclusion of reflective questions at the end of each chapter, this will encourage students to think about the applications of what they are reading in their own project contexts." Louise Gascoine, Durham UniversityTable of ContentsIntroducing Creative Research Creative Research Methods in Practice Transformative Research Frameworks and Indigenous Research Creative Research Methods and Ethics Creative Thinking Arts-Based and Embodied Data Gathering Using Technology and Mixing Methods in Data Gathering Arts-Based and Embodied Data Analysis Using Technology and Mixing Methods in Data Analysis Arts-Based and Embodied Research Reporting Using Technology and Mixing Methods in Research Reporting Arts-Based and Embodied Presentation Using Technology and Mixing Methods in Presentation Research Into Practice Conclusion

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Book SynopsisWelcome to the all-new, revised and revamped edition! Embark on an exciting journey into the future, using trend research as your compass. Take a deep dive into the future with this book as your trusty companion. "How to Research Trends" shows you how to navigate and explore using the powerful tool of trend research. Learn how to scan the environment for signs of change, analyze trend spots, and apply insights to kickstart innovation. This revised edition is designed for professionals who want to incorporate trend research into their own work. It features new interviews with professionals and agencies, as well as new theories, including Shalom Schwartz's human values model and Sharpe's Three Horizons Framework. Learn how to use trend research to explore the future, and you'll be prepared for change and the uncertainties it brings. Interviews with professionals that provide insights on how to implement trends. Various activities and tools to be used individually or in a team. A dedicated chapter on how to set up your own trend practice within your organisation.

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Book SynopsisWriting Empirical Research Reports: A Basic Guide for Students of the Social and Behavioral Sciences, Ninth Edition, offers clear and practical guidance on how to write research proposals, reports, theses, and dissertations.The book describes the types of information that should be included, how this information should be expressed, and where various types of information should be placed within a research report. The organization is designed to walk students through all the elements required when writing an original research report for a class, for a thesis/dissertation, or for publication. Most guidelines are illustrated with examples from actual (and recent) research reports published in peer-reviewed journals across the social and behavioral sciences. The new edition includes fully updated examples and chapter exercises, expanded material on qualitative methods, significant new material on research ethics, and new content on online research including social media.Table of Contents1: Structuring a Research Report 2: Writing Simple Research Hypotheses 3: A Closer Look at Hypotheses 4: Writing Research Objectives and Questions 5: Writing Titles 6: Writing Introductions and Literature Reviews 7: Writing Definitions 8: Writing Assumptions, Limitations, and Delimitations 9: Writing Method Sections 10: Describing Experimental Methods 11: Writing Analysis and Results Sections 12: Writing Discussion Sections 13: Writing Abstracts 14: A Closer Look at Writing Reports of Qualitative or Mixed Methods Research 15: Preparing Reference Lists; Appendix A: A Checklist of Guidelines Appendix B: Thinking Straight and Writing That Way Appendix C: The Null Hypothesis and Significance Testing

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Book SynopsisRevised and updated in its sixth edition, Social Research: Approachs and Fundamentals is a rigorous yet clear and engaging introduction to research methods. 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.Table of ContentsPrefaceChapter 1: IntroductionWhy Study Research Methods?Methodological Approaches to the Social WorldChapter 2: The Nature of Science The Aim of Science Science as Product Science as Process Critiques of Scientific Inquiry SummaryPART I: RESEARCH DESIGN Chapter 3: Elements of Research Design Origins of Research Topics Units of Analysis Variables Relationships Formulating Questions and Hypotheses Research Purposes and Research Design Stages of Social Research SummaryChapter 4: Measurement The Measurement Process Operational Definitions in Social Research Levels of Measurement Reliability and Validity Reliability Assessment Validity Assessment A Final Note on Reliability and Validity SummaryChapter 5: Sampling Why Sample? Population Definition Sampling Designs Probability Sampling Nonprobability Sampling Other Sampling Designs Factors Affecting Choice of Sampling Design Factors Determining Sample Size Final Notes on Sampling Errors and Generalizability SummaryPART II: METHODS OF DATA COLLECTION Chapter 6: Experimentation The Logic of Experimentation Staging Experiments The Experiment as a Social Occasion Experimentation Outside the Laboratory SummaryChapter 7: Experimental Designs Threats to Internal Validity Pre-experimental Designs True Experimental Designs Factorial Experimental Designs Quasi-experimental Designs SummaryChapter 8: Survey Research General Features of Survey Research Survey Research Designs Steps in Survey Research: Planning Face-to-Face and Telephone Interviewing Paper-and-Pencil Questionnaires Computer-Assisted Self-Interviews Mixed-Mode Surveys Field Administration Strengths and Limitations of SurveysSummaryChapter 9: Survey Instrumentation The Survey as a Social Occasion Materials Available to the Survey Designer "Sketches" or Preliminaries Filling in the Sketch: Writing the Items Pretesting SummaryChapter 10: Field Research General Features of Field Research Stages of Field Research Strengths and Limitations of Field ResearchSummaryChapter 11: Research Using Available Data Sources of Available Data General Methodological Issues in Available-Data Research Historical Analysis Content Analysis Strengths and Limitations of Research Using Available DataSummaryChapter 12: Multiple Methods Triangulation Multiple Measures of Concepts within the Same Study Multiple Tests of Hypotheses across Different Studies A Comparison of the Four Basic Approaches to Social Research Meta-Analysis SummaryChapter 13: Evaluation Research Framework and Sample Studies Types of Evaluation Research Methodological Issues in Evaluation Research The Social and Political Context of Evaluation Research SummaryPART III: DATA PROCESSING, ANALYSIS, AND INTERPRETATIONChapter 14: Data Processing and Elementary Data Analysis Preview of Analysis Steps Data Processing Data Matrices and Documentation The Functions of Statistics in Social Research Inspecting and Modifying the Data Preliminary Hypothesis Testing SummaryChapter 15: Multivariate Analysis Modeling Relationships Elaboration: Tables and Beyond Multiple-Regression Analysis Other Modeling Techniques SummaryChapter 16: Research Ethics Data Collection and Analysis Treatment of Human Subjects Making Ethical Decisions Values in Social Research: Science and Society SummaryChapter 17: Writing Research Reports Searching the Literature Outlining and Preparing to Write Major Headings Revision and Other Considerations Publishing a Research PaperSummaryGlossary References Name Index Subject Index

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Book SynopsisIn the Fifth Edition of the bestselling text Qualitative Inquiry and Research Design: Choosing Among Five Approaches, John W. Creswell and Cheryl N. Poth guide researchers in selecting the best option for their studies by exploring, evaluating, and applying five qualitative research approaches: narrative research, phenomenology, grounded theory, ethnography, and case study. For each of these qualitative inquiry traditions, the authors explore the philosophical underpinnings, history, defining features, common data procedures, and writing structures. With expanded content reflecting technological developments in the qualitative research process, more inclusivity and diversity in examples, and updated references, the Fifth Edition is an ideal introduction to the theories, strategies, and practices of qualitative research. Winner of the 2018 Textbook & Academic Authors Association's The McGuffey LongevitTable of Contents1 • Introduction to Qualitative Inquiry and Research Design 2 • Philosophical Assumptions and Interpretive Frameworks 3 • Designing a Qualitative Study 4 • Five Qualitative Approaches to Inquiry 5 • Five Different Qualitative Studies 6 • Introducing and Focusing the Study 7 • Data Collection 8 • Data Analysis and Representation 9 • Writing a Qualitative Study 10 • Standards of Validation and Evaluation 11 • “Turning the Story” and Conclusion to Qualitative Inquiry and Research Design

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Book SynopsisA history of the Frankfurt School and its impact during its early years in Germany and the United States. This edition includes a new preface which reflects on the continuing relevance of the work of the Frankfurt School.Table of ContentsPreface to the 1996 Edition Foreword by Max Horkheimer Introduction Acknowledgments I. The Creation of the Institut fUr Sozialforschung and Its First Frankfurt Years 2. The Genesis of Critical Theory 3· The Integration of Psychoanalysis 4. The Institut's First Studies of Authority 5. The Institut's Analysis of Nazism 6. Aesthetic Theory and the Critique of Mass Culture 7· The Empirical Work of the Institut in the 1940's 8. Toward a Philosophy of History: The Critique of the Enlightenment Epilogue Chapter References Bibliography Index

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Book SynopsisSignificantly revised, the fifth edition of the most complete, accessible text now covers all three approaches to structural equation modeling (SEM)--covariance-based SEM, nonparametric SEM (Pearlâs structural causal model), and composite SEM (partial least squares path modeling). With increased emphasis on freely available software tools such as the R lavaan package, the text uses data examples from multiple disciplines to provide a comprehensive understanding of all phases of SEM--what to know, best practices, and pitfalls to avoid. It includes exercises with answers, rules to remember, topic boxes, and new self-tests on significance testing, regression, and psychometrics. The companion website supplies helpful primers on these topics as well as data, syntax, and output for the book's examples, in files that can be opened with any basic text editor. New to This Edition *Chapters on composite SEM, also called partial least squares path modeling or variance-based Trade Review"In this ambitious work, Kline thoughtfully and patiently presents diverse perspectives, effectively enlarging the world of SEM while maintaining coherence. The fifth edition's breadth and timeliness make it an easy choice as the primary text in a graduate course on SEM, with readability that journal articles often lack. Researchers will appreciate the book as an entry point to a range of literatures within the SEM world. Kline’s embrace of open-source R software for SEM is very welcome, as it makes the book’s computer examples immediately accessible to readers everywhere."--Edward E. Rigdon, PhD, Marketing RoundTable Professor, Robinson College of Business, Georgia State University "Kline’s fifth edition is thoroughly updated and greatly expanded. I love the emphasis on Open Science, and I am impressed by the variety of new methodological techniques in SEM that Kline has managed to effectively introduce in the fifth edition. I can’t wait to use this text in my SEM class!"--D. Betsy McCoach, PhD, Neag School of Education, University of Connecticut "A wonderful introductory book that can be used by individuals without extensive quantitative backgrounds. I use this book to teach an introductory SEM course, but I also use it as a personal reference for my research. It is very readable, which is the number-one reason why I assign this text to my students. I love the walk-through examples with references to real data and syntax. I have always liked Kline’s practical recommendations, and they continue to be really helpful for newbies to SEM--my students constantly reference these sections."--Naomi Ekas, PhD, Department of Psychology, Texas Christian University "One of the primary strengths of Kline’s book is that it is written in plain English, but with sufficient sophistication that the reader is well prepared to read more technical books or articles on advanced topics. Another strength is the helpful remedies and hints, such as the topic box on the causes of nonpositive definite data matrices and solutions. The most practical advantage of Kline’s text is the exercises at the end of each chapter, and the corresponding answers and explanations."--Stephanie Castro, PhD, College of Business, Florida Atlantic University "The substantially revised fifth edition lives up to the reputation of prior editions and will be a valuable resource to anyone learning SEM. The online primers are very thorough and give students great refreshers on background topics, including exercises with answers. This edition has appropriate balance between the three 'families' of SEM; I appreciate the detailed descriptions of Pearl’s structural causal model."--Jam Khojasteh, PhD, College of Education and Human Services, Oklahoma State University-Perfectly addresses the needs of social scientists like me without formal training in mathematical statistics....Can be read by any graduate in psychology or even by keen undergraduates interested in exploring new vistas. Yet it will also constitute a surprisingly good read for experienced researchers in search of some refreshing insights in their favorite techniques....A real tour de force....Succeeds in reconciling comprehensiveness and comprehensibility. (on the second edition)--The Psychologist, 01/01/2006ƒƒThe greatest strength of this book is Kline's ability to present materials in an engaging, accessible manner. In nearly all situations, Kline is able to describe even the more complex material in practical, (relatively) jargon-free terms....In this regard, this book is unparalleled, and I suspect that this strength alone will make this the book of choice for many who are eager to learn SEM but who do not possess extensive quantitative backgrounds....This book could be readily adapted to courses for students with a basic understanding of correlation and regression or as part of a course for more advanced students. (on the second edition)--PsycCRITIQUES, 06/29/2005ƒƒThis wonderfully written book is an impressive introduction to structural equation models (SEM) containing a sharp mix of expert analysis and observations....Contains important resources for both theoretical and applied researchers interested in SEM....Appropriate as a text for graduate students and a reference for researchers, providing both audiences with valuable insight into the subject matter. (on the second edition)--Journal of the American Statistical Association, 03/01/2006Table of Contents□I□n□t□r□o□d□u□c□t□i□o□n□□ □-□ □W□h□a□t□&□r□s□q□u□o□;□s□ □N□e□w□□ □-□ □B□o□o□k□ □W□e□b□s□i□t□e□□ □-□ □P□e□d□a□g□o□g□i□c□a□l□ □A□p□p□r□o□a□c□h□□ □-□ □P□r□i□n□c□i□p□l□e□s□ □&□g□t□;□ □S□o□f□t□w□a□r□e□□ □-□ □S□y□m□b□o□l□s□ □a□n□d□ □N□o□t□a□t□i□o□n□□ □-□ □E□n□j□o□y□ □t□h□e□ □R□i□d□e□□ □-□ □P□l□a□n□ □o□f□ □t□h□e□ □B□o□o□k□□ □I□.□ □C□o□n□c□e□p□t□s□,□ □S□t□a□n□d□a□r□d□s□,□ □a□n□d□ □T□o□o□l□s□□ □1□.□ □P□r□o□m□i□s□e□ □a□n□d□ □P□r□o□b□l□e□m□s□□ □-□ □P□r□e□p□a□r□i□n□g□ □t□o□ □L□e□a□r□n□ □S□E□M□□ □-□ □D□e□f□i□n□i□t□i□o□n□ □o□f□ □S□E□M□□ □-□ □B□a□s□i□c□ □D□a□t□a□ □A□n□a□l□y□z□e□d□ □i□n□ □S□E□M□□ □-□ □F□a□m□i□l□y□ □M□a□t□t□e□r□s□□ □-□ □P□e□d□a□g□o□g□y□ □a□n□d□ □S□E□M□ □F□a□m□i□l□i□e□s□□ □-□ □S□a□m□p□l□e□ □S□i□z□e□ □R□e□q□u□i□r□e□m□e□n□t□s□□ □-□ □B□i□g□ □N□u□m□b□e□r□s□,□ □L□o□w□ □Q□u□a□l□i□t□y□□ □-□ □L□i□m□i□t□s□ □o□f□ □T□h□i□s□ □B□o□o□k□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □2□.□ □B□a□c□k□g□r□o□u□n□d□ □C□o□n□c□e□p□t□s□ □a□n□d□ □S□e□l□f□-□T□e□s□t□□ □-□ □U□n□e□v□e□n□ □B□a□c□k□g□r□o□u□n□d□ □P□r□e□p□a□r□a□t□i□o□n□□ □-□ □P□o□t□e□n□t□i□a□l□ □O□b□s□t□a□c□l□e□s□ □t□o□ □L□e□a□r□n□i□n□g□ □a□b□o□u□t□ □S□E□M□□ □-□ □S□i□g□n□i□f□i□c□a□n□c□e□ □T□e□s□t□i□n□g□□ □-□ □M□e□a□s□u□r□e□m□e□n□t□ □a□n□d□ □P□s□y□c□h□o□m□e□t□r□i□c□s□□ □-□ □R□e□g□r□e□s□s□i□o□n□ □A□n□a□l□y□s□i□s□□ □-□ □S□u□m□m□a□r□y□□ □-□ □S□e□l□f□-□T□e□s□t□□ □-□ □S□c□o□r□i□n□g□ □C□r□i□t□e□r□i□a□□ □3□.□ □S□t□e□p□s□ □a□n□d□ □R□e□p□o□r□t□i□n□g□□ □-□ □B□a□s□i□c□ □S□t□e□p□s□□ □-□ □O□p□t□i□o□n□a□l□ □S□t□e□p□s□□ □-□ □R□e□p□o□r□t□i□n□g□ □S□t□a□n□d□a□r□d□s□□ □-□ □R□e□p□o□r□t□i□n□g□ □E□x□a□m□p□l□e□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □4□.□ □D□a□t□a□ □P□r□e□p□a□r□a□t□i□o□n□□ □-□ □F□o□r□m□s□ □o□f□ □I□n□p□u□t□ □D□a□t□a□□ □-□ □P□o□s□i□t□i□v□e□ □D□e□f□i□n□i□t□e□n□e□s□s□□ □-□ □M□i□s□s□i□n□g□ □D□a□t□a□□ □-□ □C□l□a□s□s□i□c□a□l□ □(□O□b□s□o□l□e□t□e□)□ □M□e□t□h□o□d□s□ □f□o□r□ □I□n□c□o□m□p□l□e□t□e□ □D□a□t□a□□ □-□ □M□o□d□e□r□n□ □M□e□t□h□o□d□s□ □f□o□r□ □I□n□c□o□m□p□l□e□t□e□ □D□a□t□a□□ □-□ □O□t□h□e□r□ □D□a□t□a□ □S□c□r□e□e□n□i□n□g□ □I□s□s□u□e□s□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □-□ □E□x□e□r□c□i□s□e□s□□ □-□ □A□p□p□e□n□d□i□x□ □4□.□a□.□ □S□t□e□p□s□ □o□f□ □M□u□l□t□i□p□l□e□ □I□m□p□u□t□a□t□i□o□n□□ □5□.□ □C□o□m□p□u□t□e□r□ □T□o□o□l□s□□ □-□ □E□a□s□e□ □o□f□ □U□s□e□,□ □N□o□t□ □S□u□s□p□e□n□s□i□o□n□ □o□f□ □J□u□d□g□m□e□n□t□□ □-□ □H□u□m□a□n□&□n□d□a□s□h□;□C□o□m□p□u□t□e□r□ □I□n□t□e□r□a□c□t□i□o□n□□ □-□ □T□i□p□s□ □f□o□r□ □S□E□M□ □P□r□o□g□r□a□m□m□i□n□g□□ □-□ □E□a□s□e□ □o□f□ □U□s□e□,□ □N□o□t□ □S□u□s□p□e□n□s□i□o□n□ □o□f□ □J□u□d□g□m□e□n□t□□ □-□ □C□o□m□m□e□r□c□i□a□l□ □v□e□r□s□u□s□ □F□r□e□e□ □C□o□m□p□u□t□e□r□ □T□o□o□l□s□□ □-□ □R□ □P□a□c□k□a□g□e□s□ □f□o□r□ □S□E□M□□ □-□ □F□r□e□e□ □S□E□M□ □S□o□f□t□w□a□r□e□ □w□i□t□h□ □G□r□a□p□h□i□c□a□l□ □U□s□e□r□ □I□n□t□e□r□f□a□c□e□s□□ □-□ □C□o□m□m□e□r□c□i□a□l□ □S□E□M□ □C□o□m□p□u□t□e□r□ □T□o□o□l□s□□ □-□ □S□E□M□ □R□e□s□o□u□r□c□e□s□ □f□o□r□ □O□t□h□e□r□ □C□o□m□p□u□t□i□n□g□ □E□n□v□i□r□o□n□m□e□n□t□s□□ □-□ □S□u□m□m□a□r□y□□ □I□I□.□ □S□p□e□c□i□f□i□c□a□t□i□o□n□,□ □E□s□t□i□m□a□t□i□o□n□,□ □a□n□d□ □T□e□s□t□i□n□g□□ □6□.□ □N□o□n□p□a□r□a□m□e□t□r□i□c□ □C□a□u□s□a□l□ □M□o□d□e□l□s□□ □-□ □G□r□a□p□h□ □V□o□c□a□b□u□l□a□r□y□ □a□n□d□ □S□y□m□b□o□l□i□s□m□□ □-□ □C□o□n□t□r□a□c□t□e□d□ □C□h□a□i□n□s□ □a□n□d□ □C□o□n□f□o□u□n□d□i□n□g□□ □-□ □C□o□v□a□r□i□a□t□e□ □S□e□l□e□c□t□i□o□n□□ □-□ □I□n□s□t□r□u□m□e□n□t□a□l□ □V□a□r□i□a□b□l□e□s□□ □-□ □C□o□n□d□i□t□i□o□n□a□l□ □I□n□d□e□p□e□n□d□e□n□c□i□e□s□ □a□n□d□ □O□t□h□e□r□ □T□y□p□e□s□ □o□f□ □B□i□a□s□□ □-□ □P□r□i□n□c□i□p□l□e□s□ □f□o□r□ □C□o□v□a□r□i□a□t□e□ □S□e□l□e□c□t□i□o□n□□ □-□ □d□-□S□e□p□a□r□a□t□i□o□n□ □a□n□d□ □B□a□s□i□s□ □S□e□t□s□□ □-□ □G□r□a□p□h□i□c□a□l□ □I□d□e□n□t□i□f□i□c□a□t□i□o□n□ □C□r□i□t□e□r□i□a□□ □-□ □D□e□t□a□i□l□e□d□ □E□x□a□m□p□l□e□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □-□ □E□x□e□r□c□i□s□e□s□□ □7□.□ □P□a□r□a□m□e□t□r□i□c□ □C□a□u□s□a□l□ □M□o□d□e□l□s□□ □-□ □M□o□d□e□l□ □D□i□a□g□r□a□m□ □S□y□m□b□o□l□i□s□m□□ □-□ □D□i□a□g□r□a□m□s□ □f□o□r□ □C□o□n□t□r□a□c□t□e□d□ □C□h□a□i□n□s□ □a□n□d□ □A□s□s□u□m□p□t□i□o□n□s□□ □-□ □C□o□n□f□o□u□n□d□i□n□g□ □i□n□ □P□a□r□a□m□e□t□r□i□c□ □M□o□d□e□l□s□□ □-□ □M□o□d□e□l□s□ □w□i□t□h□ □C□o□r□r□e□l□a□t□e□d□ □C□a□u□s□e□s□ □o□r□ □I□n□d□i□r□e□c□t□ □E□f□f□e□c□t□s□□ □-□ □R□e□c□u□r□s□i□v□e□,□ □N□o□n□r□e□c□u□r□s□i□v□e□,□ □a□n□d□ □P□a□r□t□i□a□l□l□y□ □R□e□c□u□r□s□i□v□e□ □M□o□d□e□l□s□□ □-□ □D□e□t□a□i□l□e□d□ □E□x□a□m□p□l□e□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □-□ □E□x□e□r□c□i□s□e□s□□ □-□ □A□p□p□e□n□d□i□x□ □7□.□a□.□ □A□d□v□a□n□c□e□d□ □T□o□p□i□c□s□ □i□n□ □P□a□r□a□m□e□t□r□i□c□ □M□o□d□e□l□s□□ □8□.□ □L□o□c□a□l□ □E□s□t□i□m□a□t□i□o□n□ □a□n□d□ □P□i□e□c□e□w□i□s□e□ □S□E□M□□ □-□ □R□a□t□i□o□n□a□l□e□ □o□f□ □L□o□c□a□l□ □E□s□t□i□m□a□t□i□o□n□□ □-□ □P□i□e□c□e□w□i□s□e□ □S□E□M□□ □-□ □D□e□t□a□i□l□e□d□ □E□x□a□m□p□l□e□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □-□ □E□x□e□r□c□i□s□e□s□□ □9□.□ □G□l□o□b□a□l□ □E□s□t□i□m□a□t□i□o□n□ □a□n□d□ □M□e□a□n□ □S□t□r□u□c□t□u□r□e□s□□ □-□ □S□i□m□u□l□t□a□n□e□o□u□s□ □M□e□t□h□o□d□s□ □a□n□d□ □E□r□r□o□r□ □P□r□o□p□a□g□a□t□i□o□n□□ □-□ □M□a□x□i□m□u□m□ □L□i□k□e□l□i□h□o□o□d□ □E□s□t□i□m□a□t□i□o□n□□ □-□ □D□e□f□a□u□l□t□ □M□L□□ □-□ □A□n□a□l□y□z□i□n□g□ □N□o□n□n□o□r□m□a□l□ □D□a□t□a□□ □-□ □R□o□b□u□s□t□ □M□L□□ □-□ □F□I□M□L□ □f□o□r□ □I□n□c□o□m□p□l□e□t□e□ □D□a□t□a□ □v□e□r□s□u□s□ □M□u□l□t□i□p□l□e□ □I□m□p□u□t□a□t□i□o□n□□ □-□ □A□l□t□e□r□n□a□t□i□v□e□ □E□s□t□i□m□a□t□o□r□s□ □f□o□r□ □C□o□n□t□i□n□u□o□u□s□ □O□u□t□c□o□m□e□s□□ □-□ □F□i□t□t□i□n□g□ □M□o□d□e□l□s□ □t□o□ □C□o□r□r□e□l□a□t□i□o□n□ □M□a□t□r□i□c□e□s□□ □-□ □H□e□a□l□t□h□y□ □P□e□r□s□p□e□c□t□i□v□e□ □o□n□ □E□s□t□i□m□a□t□o□r□s□ □a□n□d□ □G□l□o□b□a□l□ □E□s□t□i□m□a□t□i□o□n□□ □-□ □D□e□t□a□i□l□e□d□ □E□x□a□m□p□l□e□□ □-□ □I□n□t□r□o□d□u□c□t□i□o□n□ □t□o□ □M□e□a□n□ □S□t□r□u□c□t□u□r□e□s□□ □-□ □P□r□&□e□a□c□u□t□e□;□c□i□s□ □o□f□ □G□l□o□b□a□l□ □E□s□t□i□m□a□t□i□o□n□□ □-□ □S□u□m□m□a□r□y□□ □-□ □L□e□a□r□n□ □M□o□r□e□□ □-□ □E□x□e□r□c□i□s□e□s□□ □-□ □A□p□p□e□n□d□i□x□ □9□.□a□.□ □T□y□p□e□s□ □o□f□ □I□n□f□o□r□m□a□t□i□o□n□ □M□a□t□r□i□c□e□s□ □a□n□d□ □C□o□m□p□u□t□e□r□ □O□p□t□i□o□n□s□□ □-□ □A□p□p□e□n□d□i□x□ □9□.□b□.□ □C□a□s□e□w□i□s□e□ □M□L□ □M□e□t□h□o□d□s□ □f□o□r□ □D□a□t□a□ □M□i□s□s□i□n□g□ □N□o□t□ □a□t□ □R□a□n□d□o□m□□ □1□0□.□ □M□o□d□e□l□ □T□e□s□t□i□n□g□ □a□n□d□ □I□n□d□e□x□i□n□g□□ □-□ □M□o□d□e□l□ □T□e□s□t□i□n□g□□ □-□ □M□o□d□e□l□ □C□h□i□-□S□q□u□a□r□e□□ □-□ □S□c□a□l□e□d□ □C□h□i□-□S□q□u□a□r□e□s□ □a□n□d□ □R□o□b□u□s□t□ □S□t□a□n□d□a□r□d□ □E□r□r□o□r□s□ □f□o□r□ □N□o□n□n□o□r□m□a□l□ □D□i□s□t□r□i□b□u□t□i□o□n□s□□ □-□ □M□o□d□e□l□ □F□i□t□ □I□n□d□e□x□i□n□g□□ □-□ □R□M□S□E□A□□ □-□ □C□F□I□□ □-□ □S□R□M□R□□ □-□ □T□h□r□e□s□h□o□l□d□s□ □f□o□r□ □A□p□p□r□o□x□i□m□a□t□e□ □F□i□t□ □I□n□d□e□x□e□s□□ □-□ □R□e□c□o□m□m□e□n□d□e□d□ □A□p□p□r□o□a□c□h□ □t□o□ □F□i□t□ □E□v□a□l□u□a□t□i□o□n□□ □-□ □G□l□o□b□a□l□ □F□i□t□ □S□t□a□t□i□s□t□i□c□s□ □f□o□r□ □t□h□e□ □D□e□t□a□i□l□e□d□ □E□x□a□m□p□l□e□□ □-□ □P□o□w□e□r□ □a□n□d□ □P□r□e□c□i

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Book SynopsisComputing power has revolutionized the theory and practice of statistical inference. This book delivers a concentrated course in modern statistical thinking by tracking the revolution from classical theories to the large-scale prediction algorithms of today. Anyone who applies statistical methods to data will benefit from this landmark text.Trade Review'How and why is computational statistics taking over the world? In this serious work of synthesis that is also fun to read, Efron and Hastie, two pioneers in the integration of parametric and nonparametric statistical ideas, give their take on the unreasonable effectiveness of statistics and machine learning in the context of a series of clear, historically informed examples.' Andrew Gelman, Columbia University, New York'This unusual book describes the nature of statistics by displaying multiple examples of the way the field has evolved over the past sixty years, as it has adapted to the rapid increase in available computing power. The authors' perspective is summarized nicely when they say, 'very roughly speaking, algorithms are what statisticians do, while inference says why they do them'. The book explains this 'why'; that is, it explains the purpose and progress of statistical research through a close look at many major methods, methods the authors themselves have advanced and studied at great length. Both enjoyable and enlightening, Computer Age Statistical Inference is written especially for those who want to hear the big ideas, and see them instantiated through the essential mathematics that defines statistical analysis. It makes a great supplement to the traditional curricula for beginning graduate students.' Rob Kass, Carnegie Mellon University, Pennsylvania'This is a terrific book. It gives a clear, accessible, and entertaining account of the interplay between theory and methodological development that has driven statistics in the computer age. The authors succeed brilliantly in locating contemporary algorithmic methodologies for analysis of 'big data' within the framework of established statistical theory.' Alastair Young, Imperial College London'This is a guided tour of modern statistics that emphasizes the conceptual and computational advances of the last century. Authored by two masters of the field, it offers just the right mix of mathematical analysis and insightful commentary.' Hal Varian, Google'Efron and Hastie guide us through the maze of breakthrough statistical methodologies following the computing evolution: why they were developed, their properties, and how they are used. Highlighting their origins, the book helps us understand each method's roles in inference and/or prediction. The inference-prediction distinction maintained throughout the book is a welcome and important novelty in the landscape of statistics books.' Galit Shmueli, National Tsing Hua University'A masterful guide to how the inferential bases of classical statistics can provide a principled disciplinary frame for the data science of the twenty-first century.' Stephen Stigler, University of Chicago, and author of Seven Pillars of Statistical Wisdom'Computer Age Statistical Inference offers a refreshing view of modern statistics. Algorithmics are put on equal footing with intuition, properties, and the abstract arguments behind them. The methods covered are indispensable to practicing statistical analysts in today's big data and big computing landscape.' Robert Gramacy, University of Chicago Booth School of Business'Every aspiring data scientist should carefully study this book, use it as a reference, and carry it with them everywhere. The presentation through the two-and-a-half-century history of statistical inference provides insight into the development of the discipline, putting data science in its historical place.' Mark Girolami, Imperial College London'Efron and Hastie are two immensely talented and accomplished scholars who have managed to brilliantly weave the fiber of 250 years of statistical inference into the more recent historical mechanization of computing. This book provides the reader with a mid-level overview of the last 60-some years by detailing the nuances of a statistical community that, historically, has been self-segregated into camps of Bayes, frequentist, and Fisher yet in more recent years has been unified by advances in computing. What is left to be explored is the emergence of, and role that, big data theory will have in bridging the gap between data science and statistical methodology. Whatever the outcome, the authors provide a vision of high-speed computing having tremendous potential to enable the contributions of statistical inference toward methodologies that address both global and societal issues.' Rebecca Doerge, Carnegie Mellon University, Pennsylvania'In this book, two masters of modern statistics give an insightful tour of the intertwined worlds of statistics and computation. Through a series of important topics, Efron and Hastie illuminate how modern methods for predicting and understanding data are rooted in both statistical and computational thinking. They show how the rise of computational power has transformed traditional methods and questions, and how it has pointed us to new ways of thinking about statistics.' David Blei, Columbia University, New York'Absolutely brilliant. This beautifully written compendium reviews many big statistical ideas, including the authors' own. A must for anyone engaged creatively in statistics and the data sciences, for repeated use. Efron and Hastie demonstrate the ever-growing power of statistical reasoning, past, present, and future.' Carl Morris, Harvard University, Massachusetts'Computer Age Statistical Inference gives a lucid guide to modern statistical inference for estimation, hypothesis testing, and prediction. The book seamlessly integrates statistical thinking with computational thinking, while covering a broad range of powerful algorithms for learning from data. It is extraordinarily rare and valuable to have such a unified treatment of classical (and classic) statistical ideas and recent 'big data' and machine learning ideas. Accessible real-world examples and insightful remarks can be found throughout the book.' Joseph K. Blitzstein, Harvard University, Massachusetts'Among other things, it is an attempt to characterize the current state of statistics by identifying important tools in the context of their historical development. It also offers an enlightening series of illustrations of the interplay between computation and inference … This is an attractive book that invites browsing by anyone interested in statistics and its future directions.' Bill Satzer, Mathematical Association of America Reviews'My take on Computer Age Statistical Inference is that experienced statisticians will find it helpful to have such a compact summary of twentieth-century statistics, even if they occasionally disagree with the book's emphasis; students beginning the study of statistics will value the book as a guide to statistical inference that may offset the dangerously mind-numbing experience offered by most introductory statistics textbooks; and the rest of us non-experts interested in the details will enjoy hundreds of hours of pleasurable reading.' Joseph Rickert, RStudio (www.rstudio.com)'Efron and Hastie (both, Stanford Univ.) have superbly crafted a central text/reference book that presents a broad overview of modern statistics. The work examines major developments in computation from the late-20th and early-21st centuries, ranging from electronic computations to 'big data' analysis. Focusing primarily on the last six decades, the text thoroughly documents the progression within the discipline of statistics … This text is highly recommended for graduate libraries.' D. J. Gougeon, ChoiceTable of ContentsPart I. Classic Statistical Inference: 1. Algorithms and inference; 2. Frequentist inference; 3. Bayesian inference; 4. Fisherian inference and maximum likelihood estimation; 5. Parametric models and exponential families; Part II. Early Computer-Age Methods: 6. Empirical Bayes; 7. James–Stein estimation and ridge regression; 8. Generalized linear models and regression trees; 9. Survival analysis and the EM algorithm; 10. The jackknife and the bootstrap; 11. Bootstrap confidence intervals; 12. Cross-validation and Cp estimates of prediction error; 13. Objective Bayes inference and Markov chain Monte Carlo; 14. Statistical inference and methodology in the postwar era; Part III. Twenty-First Century Topics: 15. Large-scale hypothesis testing and false discovery rates; 16. Sparse modeling and the lasso; 17. Random forests and boosting; 18. Neural networks and deep learning; 19. Support-vector machines and kernel methods; 20. Inference after model selection; 21. Empirical Bayes estimation strategies; Epilogue; References; Index.

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Book SynopsisThoroughly revised to take account of the latest literature and international developments in the field. Drawing on global research and practical examples, Bason illustrates the key triggers and practices of public sector innovation.Trade Review“Public sector innovation is imperative in order to generate new ideas that contribute to solve the challenges facing developed states around the world, and create value for society as a whole. This book gives policymakers and practitioners the valuable skillset required in order to attain success in the field.” Sophie Løhde, Minister for Public Sector Innovation, Denmark"The relationship between state and citizens is at the very heart of a governing system. This book will help the reader gain a broad view of public innovation and of the role of citizens for a better future." Jocelyne Bourgon, Author, and President, Public Governance International, Canada"Christian Bason has consistently been on the cutting edge of thinking about how public services can keep ahead of the pressures of change. This book is very timely, drawing on examples from around the world and showing how public services can work with citizens to create better and more cost effective solutions to their needs." Geoff Mulgan, Chief Executive, Nesta, UKTable of ContentsNEW FOREWORD BY NN (TBD) Introduction 1. The Innovation Ecosystem CONSCIOUSNESS 2. Mapping the Landscape CAPACITY 3. Political Context 4. Strategy 5. Organising for Innovation 6. The rise of labs: Giving innovation a home [NEW CHAPTER] 7. People and Culture CO-CREATION 8. Design Thinking in Government 9. Citizen Involvement 10. Orchestrating Co-creation 11. Measuring to Learn COURAGE 12. Four Leadership Roles 13. Leading co-creation [NEW CHAPTER]

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Book SynopsisA classic standalone title that meets a specific, and ongoing, need of the qualitative research community. A sophisticated and nuanced introduction to coding qualitative data that is used by researchers, students, and lecturers around the world.

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Book SynopsisThis new edition of the SAGE Handbook of Qualitative Research represents the sixth generation of the ongoing conversation about the discipline, practice, and conduct of qualitative inquiry. As with earlier editions, the Sixth Editionis virtually a new volume, with 27 of the 34 chapters representing new topics or approaches not seen in the previous edition, including intersectionality; critical disability research; postcolonial and decolonized knowledge; diffraction and intra-action; social media methodologies; thematic analysis, collaborative inquiry from the borderlands; qualitative inquiry and public health science; co-production and the politics of impact; publishing qualitative research; and academic survival.Authors in the Sixth Edition engage with questions of ontology and epistemology, the politics of the research act, the changing landscape of higher education, and the role qualitative researchers play in contributing to a more just, egalitarian society. To mark the Handbook's 30-year history, we are pleased to offer a bonus PART VI in the eBook versions of the Sixth Edition: this additional section brings together and reprints ten of the most famous or game-changing contributions from the previous five editions. You can bundle the print + eBook version with bundle ISBN: 978-1-0719-2874-5.Trade Review"This is a great book, and they have done a great job evolving the contents through all these years. We are deeply indebted to the authors, whose knowledge and experience has enriched the field of research." -- Masoud GhaffariTable of ContentsIntroduction: The Discipline and Practice of Qualitative Research - Norman K. Denzin, Yvonna S. Lincoln, Michael D. Giardina, and Gaile S. Cannella Part I: Locating the Field A History of Qualitative Inquiry in Social and Educational Research - Frederick Erickson Ethics, Research Regulations, and Critical Qualitative Science - Gaile S. Cannella and Yvonna S. Lincoln Paradigmatic Controversies, Contradictions, and Emerging Confluences, Revisited - Yvonna S. Lincoln, Susan A. Lynham, and Egon G. Guba Part II: Philosophies of Inquiry Feminist Inquiry - Bronwyn Davies Critical Race Theory and the Postracial Imaginary - Jamel K. Donnor and Gloria Ladson-Billings Intersectionality Methodology: A Qualitative Research Imperative for Black Women’s Lives - Chayla Haynes, Saran Stewart, and Lori D. Patton Queer/Quare Theory: Worldmaking and Methodologies (Revisited) - Bryant Keith Alexander Critical Disability Studies and Diverse Bodyminds in Qualitative Inquiry - Emily A. Nusbaum & Jessica Nina Lester Critical Post-Intentional Phenomenological Inquiry (crit-PIP): Why it Matters and What it Can Do - Mark D. Vagle, Keitha-Gail Martin-Kerr, Jana LoBello Miller, Bisola Wald, & Hazen Fairbanks Why We Do Indigenous Methodologies: Contemplations On Indigenous Protocol, Theory and Method - Sweeney Windchief, Timothy San Pedro, and Margaret Kovach Postcolonial and Decolonized Knowing: Speaking “Nearby”: A Letter to Rekha - Devika Chawla Poststructural Engagements - Aaron M. Kuntz Agential Realism, Intra-Action, and Diffractive Methodology - Serge F. Hein Part III: Practices of Inquiry Examining the ‘inside lives’ of research interviews - Kathryn Roulston Observation in a Surveilled World - Jack Bratich Ethnographic Futures: Embodied, Diffractive, and Decolonizing Approaches - Michael D. Giardina and Michele K. Donnelly Critical Situational Analysis after the Interpretive Turn - Adele E. Clarke, Carrie Friese & Rachel Washburn Thematic Analysis - Virginia Braun and Victoria Clarke Qualitative Social Media Methods: Netnography in the Age of Technocultures - Robert V. Kozinets and Ulrike Gretzel Autoethnography as Becoming-with - Tony E. Adams and Stacy Holman Jones Performance Shapes for Qualitative Inquiry - Johnny Saldaña The Arts as Research: Nomadic Materiality and Possible Futures - Richard Siegesmund Communicative Methodology: Working Together with the Roma Community for Improving Their Lives - Aitor Gómez Gonzalez Betweener Autoethnographies: Collaborative Inquiry from the Borderlands - Claudio Moreira and Marcelo Diversi Part IV: The Politics of Evidence, Science, and Knowledge Qualitative Inquiry and Public Health Science: Case Studies from the COVID-19 Pandemic - Trisha Greenhalgh and Ama de-Graft Aikins Science, evidence and the development of policy and practice: Can Qualitative Research Make a Different Contribution? - Harry Torrance Co-production and Impact: Challenges and Opportunities - Brett Smith and Kerry R. McGannon The Elephant in the Living Room, or, Extending the Conversation about the Politics of Evidence, Part 2 - Norman K. Denzin Backsliding Toward Illiberal Democracy & Authoritarianism: Qualitative Inquiry, Academic Freedom, and Technologies of Governance - Marc Spooner Part V: Into the Future Academic Survival: Qualitative Researchers in the Neoliberal Academy - Julianne Cheek Publishing and Reviewing Qualitative Research - Mitchell Allen Qualitative Inquiry and Posthuman Futures: Justice and Challenging the Human/Nonhuman Life Dichotomy - Mirka Koro and Gaile S. Cannella The Future of Qualitative Research - Norman K. Denzin, Yvonna S. Lincoln, Michael D. Giardina, and Gaile S. Cannella

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Book SynopsisNew Third Edition! If sociology could teach everyone just one thing, what would it be? The Forest and the Trees is one sociologist's response to the hypothetical-the core insight with the greatest potential to change how people see the world and themselves in relation to it. This Third Edition features: Updated key references, data, resources, and examples, from global warming, Obama's election, and gay marriage to transgender/cisgender and the Occupy Movement A glossary of terms The short essays in Chapter 6, framed around the power of sociology, dig beneath easy and popular understandings to reveal what lies beneath An additional analysis of how men's violence is made invisible even though most violence is perpetrated by men Chapter 7's focus on sociology as a worldview with an analysis of the origins of white privilegeTrade Review"There is no better book to help college students understand the sociological mindset."-Terence J. McGinn, The University of Michigan"I love The Forest and the Trees. And, honestly, if there was not a new edition, I am not sure how I would teach my introduction to sociology course. My students often comment that it was the best book in a class they have ever read. I cannot sing the praises of The Forest and the Trees enough!"-Marisol Clark-Ibáñez, Associate Professor of Sociology, California State University, San MarcosTable of ContentsAcknowledgments Introduction: Life, Practice, and Promise 1 The Forest, the Trees, and the One Thing 2 Culture: Symbols, Ideas, and the Stuff of Life 3 The Structures of Social Life 4 Population and Human Ecology: People, Space, and Place 5 Us, It, and Social Interaction 6 Things Are Not What They Seem 7 Sociology as Worldview: Where White Privilege Came From Epilogue: Who Are We Really? Notes Glossary Index

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Book SynopsisKeeping the uniquely humorous and self-deprecating style that has made students across the world fall in love with Andy Field's books, Discovering Statistics Using R takes students on a journey of statistical discovery using R, a free, flexible and dynamically changing software tool for data analysis that is becoming increasingly popular across the social and behavioural sciences throughout the world. The journey begins by explaining basic statistical and research concepts before a guided tour of the R software environment. Next you discover the importance of exploring and graphing data, before moving onto statistical tests that are the foundations of the rest of the book (for example correlation and regression). You will then stride confidently into intermediate level analyses such as ANOVA, before ending your journey with advanced techniques such as MANOVA and multilevel models. Although there is enough theory to help you gain the necessary conceptual undeTrade ReviewIn statistics, R is the way of the future. The big boys and girls have known this for some time: There are now millions of R users in academia and industry. R is free (as in no cost) and free (as in speech). Andy, Jeremy, and Zoe′s book now makes R accessible to the little boys and girls like me and my students. Soon all classes in statistics will be taught in R. I have been teaching R to psychologists for several years and so I have been waiting for this book for some time. The book is excellent, and it is now the course text for all my statistics classes. I′m pretty sure the book provides all you need to go from statistical novice to working researcher. Take, for example, the chapter on t-tests. The chapter explains how to compare the means of two groups from scratch. It explains the logic behind the tests, it explains how to do the tests in R with a complete worked example, which papers to read in the unlikely event you do need to go further, and it explains what you need to write in your practical report or paper. But it also goes further, and explains how t-tests and regression are related---and are really the same thing---as part of the general linear model. So this book offers not just the step-by-step guidance needed to complete a particular test, but it also offers the chance to reach the zen state of total statistical understanding. Prof. Neil StewartWarwick University Field′s Discovering Statistics is popular with students for making a sometimes deemed inaccessible topic accessible, in a fun way. In Discovering Statistics Using R, the authors have managed to do this using a statistics package that is known to be powerful, but sometimes deemed just as inaccessible to the uninitiated, all the while staying true to Field′s off-kilter approach. Dr Marcel van Egmond University of Amsterdam Probably the wittiest and most amusing of the lot (no, really), this book takes yet another approach: it is 958 pages of R-based stats wisdom (plus online accoutrements)... A thoroughly engaging, expansive, thoughtful and complete guide to modern statistics. Self-deprecating stories lighten the tone, and the undergrad-orientated ′stupid faces′ (Brian Haemorrhage, Jane Superbrain, Oliver Twisted, etc.) soon stop feeling like a gimmick, and help to break up the text with useful snippets of stats wisdom. It is very mch a student textbook but it is brilliant... Field et al. is the complete package.David M. Shuker AnimJournal of Animal Behaviour "This work should be in the library of every institution where statistics is taught. It contains much more content than what is required for a beginning or advanced undergraduate course, but instructors for such courses would do well to consider this book; it is priced comparably to books which contain only basic material, and students who are fascinated by the subject may find the additional material a real bonus. The book would also be very good for self-study. Overall, an excellent resource." -- R. Bharath * Choice *The main strength of this book is that it presents a lot of information in an accessible, engaging and irreverent way. The style is informal with interesting excursions into the history of statistics and psychology. There is reference to research papers which illustrate the methods explained, and are also very entertaining. The authors manage to pull off the Herculean task of teaching statistics through the medium of R... All in all, an invaluable resource. -- Paul WebbTable of ContentsWhy Is My Evil Lecturer Forcing Me to Learn Statistics? What will this chapter tell me? What the hell am I doing here? I don′t belong here Initial observation: finding something that needs explaining Generating theories and testing them Data collection 1: what to measure Data collection 2: how to measure Analysing data What have I discovered about statistics? Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Everything You Ever Wanted to Know About Statistics (Well, Sort of) What will this chapter tell me? Building statistical models Populations and samples Simple statistical models Going beyond the data Using statistical models to test research questions What have I discovered about statistics? Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research The R Environment What will this chapter tell me? Before you start Getting started Using R Getting data into R Entering data with R Commander Using other software to enter and edit data Saving Data Manipulating Data What have I discovered about statistics? R Packages Used in This Chapter R Functions Used in This Chapter Key terms that I′ve discovered Smart Alex′s Tasks Further reading Exploring Data with Graphs What will this chapter tell me? The art of presenting data Packages used in this chapter Introducing ggplot2 Graphing relationships: the scatterplot Histograms: a good way to spot obvious problems Boxplots (box-whisker diagrams) Density plots Graphing means Themes and options What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Exploring Assumptions What will this chapter tell me? What are assumptions? Assumptions of parametric data Packages used in this chapter The assumption of normality Testing whether a distribution is normal Testing for homogeneity of variance Correcting problems in the data What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Correlation What will this chapter tell me? Looking at relationships How do we measure relationships? Data entry for correlation analysis Bivariate correlation Partial correlation Comparing correlations Calculating the effect size How to report correlation coefficents What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Regression What will this chapter tell me? An Introduction to regression Packages used in this chapter General procedure for regression in R Interpreting a simple regression Multiple regression: the basics How accurate is my regression model? How to do multiple regression using R Commander and R Testing the accuracy of your regression model Robust regression: bootstrapping How to report multiple regression Categorical predictors and multiple regression What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Logistic Regression What will this chapter tell me? Background to logistic regression What are the principles behind logistic regression? Assumptions and things that can go wrong Packages used in this chapter Binary logistic regression: an example that will make you feel eel How to report logistic regression Testing assumptions: another example Predicting several categories: multinomial logistic regression What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Comparing Two Means What will this chapter tell me? Packages used in this chapter Looking at differences The t-test The independent t-test The dependent t-test Between groups or repeated measures? What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Comparing Several Means: ANOVA (GLM 1) What will this chapter tell me? The theory behind ANOVA Assumptions of ANOVA Planned contrasts Post hoc procedures One-way ANOVA using R Calculating the effect size Reporting results from one-way independent ANOVA What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Analysis of Covariance, ANCOVA (GLM 2) What will this chapter tell me? What is ANCOVA? Assumptions and issues in ANCOVA ANCOVA using R Robust ANCOVA Calculating the effect size Reporting results What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Factorial ANOVA (GLM 3) What will this chapter tell me? Theory of factorial ANOVA (independant design) Factorial ANOVA as regression Two-Way ANOVA: Behind the scenes Factorial ANOVA using R Interpreting interaction graphs Robust factorial ANOVA Calculating effect sizes Reporting the results of two-way ANOVA What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Repeated-Measures Designs (GLM 4) What will this chapter tell me? Introduction to repeated-measures designs Theory of one-way repeated-measures ANOVA One-way repeated measures designs using R Effect sizes for repeated measures designs Reporting one-way repeated measures designs Factorisal repeated measures designs Effect Sizes for factorial repeated measures designs Reporting the results from factorial repeated measures designs What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Mixed Designs (GLM 5) What will this chapter tell me? Mixed designs What do men and women look for in a partner? Entering and exploring your data Mixed ANOVA Mixed designs as a GLM Calculating effect sizes Reporting the results of mixed ANOVA Robust analysis for mixed designs What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Non-Parametric Tests What will this chapter tell me? When to use non-parametric tests Packages used in this chapter Comparing two independent conditions: the Wilcoxon rank-sum test Comparing two related conditions: the Wilcoxon signed-rank test Differences between several independent groups: the Kruskal-Wallis test Differences between several related groups: Friedman′s ANOVA What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Multivariate Analysis of Variance (MANOVA) What will this chapter tell me? When to use MANOVA Introduction: similarities and differences to ANOVA Theory of MANOVA Practical issues when conducting MANOVA MANOVA using R Robust MANOVA Reporting results from MANOVA Following up MANOVA with discriminant analysis Reporting results from discriminant analysis Some final remarks What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Exploratory Factor Analysis What will this chapter tell me? When to use factor analysis Factors Research example Running the analysis with R Commander Running the analysis with R Factor scores How to report factor analysis Reliability analysis Reporting reliability analysis What have I discovered about statistics? R Packages Used in This Chapter R Functions Used in This Chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Categorical Data What will this chapter tell me? Packages used in this chapter Analysing categorical data Theory of Analysing Categorical Data Assumptions of the chi-square test Doing the chi-square test using R Several categorical variables: loglinear analysis Assumptions in loglinear analysis Loglinear analysis using R Following up loglinear analysis Effect sizes in loglinear analysis Reporting the results of loglinear analysis What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Multilevel Linear Models What will this chapter tell me? Hierarchical data Theory of multilevel linear models The multilevel model Some practical issues Multilevel modelling on R Growth models How to report a multilevel model What have I discovered about statistics? R packages used in this chapter R functions used in this chapter Key terms that I′ve discovered Smart Alex′s tasks Further reading Interesting real research Epilogue: Life After Discovering Statistics Troubleshooting R Glossary Appendix Table of the standard normal distribution Critical Values of the t-Distribution Critical Values of the F-Distribution Critical Values of the chi-square Distribution References

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Book SynopsisOffers a methodological and analytic opening to the affective registers of imperial governance and the political content of archival forms. This title identifies the social epistemologies that guided perception and practice, revealing the problematic racial ontologies of that confused epistemic space.Trade Review"[E]legance, energy, and perspicuity has long been a hallmark of Stoler's scholarship, but in this book, Stoler's aim is particularly true... Along the Archival Grain is a call to arms from one of the most forceful practitioners of our discipline. The passions that haunt are of more than passing interest: they have done much to shape our contemporary world. In facing up to this reality, Ann Stoler has provided us with a new way of conceptualizing what students of the colonial can and should do."--Danilyn Rutherford, Journal of Colonialism and Colonial History "Along the Archival Grain ... sheds new light on the nature of the colonial state... Stoler takes the lessons of colonial discourse analysis first opened by Edward Said to new heights... Along the Archival Grain is also an indispensable and innovative ethnography of the colonial state that dismantles the state's epistemic power and self-representation."--Julian Go, Pacific Affairs "This book has raised the benchmark for archival investigation and established a powerful model for new cultural geographies of colonialism that deserves to be read and debated by those beyond the fields of colonial studies and historical research methodology and theory."--Stephen Legg, Environment and Planning "The author presents a nuanced and meticulous reading of official nineteenth- and twentieth-century Dutch colonial archives and decenters how postcolonial scholars, feminist scholars, and historians have characteristically approached colonial texts."--Meredith Reifschneider, Current Anthropology "Stoler's historical examples are both fascinating and choice... Scholars of Dutch colonialism will naturally need to read [this book], but its significance and appeal will matter to nearly everyone working in postcolonial studies and provide an important retort to those 'students of colonialism' (in Stoler's stern phrase) who treat the colonial as an unproblematic term or a given."--John Mcleod, Interventions "As a significant contribution to the historiography of affect, this monograph will find places of honor in colleagues' bookcases, on research library shelves, and amid graduate seminar reading lists. Beyond the academy, thoughtful readers will find its insights valuable in considering personhood in the new digital age."--Elizabeth Bishop, Ab Imperio QuarterlyTable of ContentsList of Illustrations ix Appreciations xi Chapter One: Prologue in Two Parts 1 Chapter Two: The Pulse of the Archive 17 Part I: Colonial Archives and Their Affective States 55 Chapter Three: Habits of a Colonial Heart 57 Chapter Four: Developing Historical Negatives 105 Chapter Five: Commissions and Their Storied Edges 141 Part II: Watermarks in Colonial History 179 Chapter Six: Hierarchies of Credibility 181 Chapter Seven: Imperial Dispositions of Disregard 237 Appendix 1: Colonial Chronologies 279 Appendix 2: Governors-General in the Netherlands Indies, 1830-1930 285 Bibliography 287 Index 309

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Book SynopsisIn the social sciences today, students are taught theory by reading and analyzing the works of Karl Marx, Max Weber, and other foundational figures of the discipline. What they rarely learn, however, is how to actually theorize. The Art of Social Theory is a practical guide to doing just that. In this one-of-a-kind user's manual for social theorisTrade Review"[C]oncise and readable... Writing in accessible language and using the canon of social theorists to illustrate points, Swedberg meets a need for practitioners and students alike."--ChoiceTable of ContentsIntroduction: Why Theorize and Can You Learn to Do It? 1 Part 1: How to Theorize Chapter 1. Starting Anew 13 Chapter 2. Social Observation 29 Chapter 3. Naming, Concept, and Typology 52 Chapter 4. Analogy, Metaphor, and Pattern 80 Chapter 5. Coming Up with an Explanation 98 Part 2: Preparing for Theorizing Chapter 6. Heuristics 127 Chapter 7. Practical Exercises 146 Chapter 8. The Role of Theory 169 Chapter 9. Imagination and Art 188 Chapter 10. Summary and More 210 Appendix: How to Theorize according to Charles S. Peirce 230 Acknowledgments 249 Notes 251 References 253 Index 279

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Book SynopsisThis unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research. From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions. The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses.Trade Review'The family of exponential random graph models have advanced with a number of extensions in recent years, many of them developed by the present authors. Encapsulating these advances with other methods of inferential analysis in a single reference that combines essential theory with hands-on examples makes this book a must-have for network modeling practitioners who want to use these powerful tools.' Peter Mucha, UNC Chapel HillTable of ContentsPart I. Dependence and Interdependence: 1. Promises and Pitfalls of Inferential Network Analysis; 2. Detecting and Adjusting for Network Dependencies; Part II. The Family of Exponential Random Graph Models (ERGMs): 3. The Basic ERGM; 4. ERGM Specification; 5. Estimation and Degeneracy; 6. ERG Type Models for Longitudinally Observed Networks; 7. Valued-Edge ERGMs: The Generalized ERGM (GERGM); Part III. Latent Space Network Models: 8. The Basic Latent Space Model; 9. Identification, Estimation and Interpretation of the Latent Space Model; 10. Extending the Latent Space Model.

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Book Synopsis"The book has wide appeal in that the issues investigated - for example, the nature of science, practical work, the role of language, of technology and formative and summative assessment - are relevant and pertinent to science teachers' work in all school systems."Professor David F Treagust, Curtin University of Technology, AustraliaThis new edition of Good Practice in Science Teaching offers a comprehensive overview of the major areas of research and scholarship in science education.Each chapter summarizes the research work and evidence in the field, and discusses its significance, reliability and implications for the practice of science teaching.Thoroughly revised throughout, the new edition includes: Three new chapters covering: the learning of science in informal contexts; teacher professional development; and technology-mediated learning Updates to every chapter, reflecting the changes and developments in science education Further reTable of ContentsIntroduction: Research matters?Science teachers, science teaching: Issues and challenges How science works: What is the nature of scientific reasoning and what do we know about students' understanding? Science for citizenship Thinking about learning: Learning in science Science teaching and cognitive acceleration Practical work The role of language in the learning and teaching of science Technology mediated learning Formative assessment in science Summative assessment: Gold or glitter? Students' attitudes to science Supporting science learning in out-of-school contexts Supporting the development of effective science teachers Index

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Book SynopsisPresents the commonly needed techniques for working with population statistics, irrespective of the reader's mathematical background. This book provides concepts and strategies needed in the interpretation of demographic indices and data. It includes a CD-ROM containing integrated learning modules and applications facilitating demographic studies.Trade Review'A key feature of the text is a diskette that contains Microsoft Excel-based programs for illustrating and doing fundamental demographic calculations (life tables, growth rates, standardization, and so forth)...The book is a very good compendium of basic demography that clearly is based on the author's practical teaching experience. It has re-opened for me the possibility of successfully teaching demographic methods to students not primarily interested in population studies. I look forward to using it'. Population Studies, Vol.58, No.2, 2004, pp255-256.'Demographic Methods and Concepts is likely to have such a broader readership, since it is designed to serve also as a self-contained introduction and instructional manual on its subject. It is well written (enlivened with apt quotations from Graunt) and requires little mathematical backround. The graphics are excellent. Fully up-tp-date in terms of 'desktop demography, it has bibliographies that cater to the internet generation as well as to old-style page turners, numerous spreadsheet exercises, and an attached CD-ROM containing excel modules linked to the text'. Population and Development Review 2003.Table of ContentsEACH CHAPTER CONTAINS STUDY RESOURCES INCLUDING GLOSSARY OF KEY TERMS, FURTHER READING, INTERNET RESOURCES, EXERCISES, AND SPREADSHEET EXERCISES; SECTION 1. POPULATION DYNAMICS; SECTION 2. ANALYTICAL APPROACHES; SECTION 3. VITAL PROCESSES; SECTION 4. DEMOGRAPHIC MODELS; SECTION 5. SPATIAL PATTERNS AND PROCESSES; SECTION 6. APPLIED DEMOGRAPHY; APPENDICES; A: BASIC MATHS; B: USING THE EXCEL MODULES; C: INTRODUCTION TO EXCEL; D: ANSWERS TO EXERCISES

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Book SynopsisThis textbook provides a clear, concise, and comprehensive introduction to methodological issues encountered by the various social science disciplines. It emphasizes applications, with detailed examples, so that readers can put these methods to work in their research. Within a unified framework, John Gerring and Dino Christenson integrate a variety of methods - descriptive and causal, observational and experimental, qualitative and quantitative. The text covers a wide range of topics including research design, data-gathering techniques, statistics, theoretical frameworks, and social science writing. It is designed both for those attempting to make sense of social science, as well as those aiming to conduct original research. The text is accompanied by online practice questions, exercises, examples, and additional resources, including related readings and websites. An essential resource for undergraduate and postgraduate programs in communications, criminal justice, economics, business,Trade Review'An excellent guide to the main approaches and issues of social science research design. It offers a clear guide through the thicket of terms and concepts with effective use of examples. A valuable work for students of any level.' Kenneth Benoit, London School of Economics and Political Science'Rich, compelling, engaging, passionate and in crystal-clear style. Gerring and Christenson have done an excellent job in promoting an integrated and pluralist vision of methodology and research design.' Martino Maggetti, University of Lausanne, SwitzerlandTable of ContentsPreface; Part I. Building Blocks: 1. A unified framework; 2. Arguments; 3. Concepts and measures; 4. Analyses; Part II. Causality: 5. Causal frameworks; 6. Causal hypotheses and analyses; 7. Experimental designs; 8. Large-N observational designs; 9. Case study designs; 10. Diverse tools of causal inference; Part III. Process and Presentation: 11. Reading and reviewing; 12. Brainstorming; 13. Data gathering; 14. Writing; 15. Speaking; 16. Ethics; Part IV. Statistics: 17. Data management; 18. Univariate statistics; 19. Probability distributions; 20. Statistical inference; 21. Bivariate statistics; 22. Regression; 23. Causal inference; 24. Appendix; References; Index.

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Book Synopsis"Stephen Van Evera's Guide to Methods makes an important contribution toward improving the use of case studies for theory development and testing in the social sciences. His trenchant and concise views on issues ranging from epistemology to specific...Trade Review"Stephen Van Evera's Guide to Methods for Students of Political Science makes an important contribution toward improving the use of case studies for theory development and testing in the social sciences. His trenchant and concise views on issues ranging from epistemology to specific research techniques manage to convey not only the methods but the ethos of research. This book is essential reading for social science students at all levels who aspire to conduct rigorous research."—Alexander L. George, Stanford University, and Andrew Bennett, Georgetown University"Stephen Van Evera has a keen awareness of the questions that arise in every phase of the political science research project—from initial conception to final presentation. Although others may not agree with all of his specific advice, all will appreciate his user-friendly introduction to what is sometimes seen as an abstract and difficult topic."—Timothy J. McKeown, University of North Carolina, Chapel HillTable of ContentsINTRODUCTION1. HYPOTHESES, LAWS, AND THEORIES: A USER'S GUIDE What Is a Theory? What Is a Specific Explanation? What Is a Good Theory? How Can Theories Be Made? How Can Theories Be Tested? Strong vs. Weak Tests: Predictions and Tests Helpful Hints for Testing Theories How Can Specific Events Be Explained? Methodology Myths2. WHAT ARE CASE STUDIES? HOW SHOULD THEY BE PERFORMED? Case Studies in Perspective Testing Theories with Case Studies Creating Theories with Case Studies Inferring Antecedent Conditions from Case Studies Testing Antecedent Conditions with Case Studies Explaining Cases Strong vs. Weak Tests: Predictions and Tests Interpreting Contradictory Results Case-Selection Criteria3. WHAT IS A POLITICAL SCIENCE DISSERTATION?4. HELPFUL HINTS ON WRITING A POLITICAL SCIENCE DISSERTATION Topic Selection Organization Your Dissertation Prospectus Your Introductory Chapter Your Concluding Chapter Study Design and Presentation Writing Style Vetting Your Abstract Dealing with your Dissertation Committee Dealing with Your Head, Your Family, and Your Friends How to Learn More about How to Write a Dissertation5. THE DISSERTATION PROPOSAL6. PROFESSIONAL ETHICSAPPENDIX: HOW TO WRITE A PAPER FURTHER READING INDEX

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Book SynopsisFrom the bestselling author of the acclaimed Chaos and Genius comes a thoughtful and provocative exploration of the big ideas of the modern era: Information, communication, and information theory.   Acclaimed science writer James Gleick presents an eye-opening vision of how our relationship to information has transformed the very nature of human consciousness. A fascinating intellectual journey through the history of communication and information, from the language of Africa’s talking drums to the invention of written alphabets; from the electronic transmission of code to the origins of information theory, into the new information age and the current deluge of news, tweets, images, and blogs. Along the way, Gleick profiles key innovators, including Charles Babbage, Ada Lovelace, Samuel Morse, and Claude Shannon, and reveals how our understanding of information is transforming not only how we look at the world, but how we live.A

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Book SynopsisReal world research is a common responsibility of professionals and practitioners in a wide range of both public and private settings. These include teachers, social workers and health service professionals, managers and specialists in business, architects, designers, criminologists and accountants among many others. Real World Research provides a clear route-map of the various steps needed to carry out a piece of applied research to a high professional standard. It is accessible to those without a social science background while providing rigorous and fully up-to-date coverage of contemporary issues and debates. It brings together materials and approaches from different social science disciplines, seeing value in both quantitative and qualitative approaches, as well as their combination in mixed-method designs. Updated throughout, the third edition includes: A brand new chapter on multi-strategy designs Increased covTable of ContentsPreface. Acknowledgements. Ways of using the book. The main steps when carrying out a project. PART I SETTING THE SCENE. Keeping a research journal. Chapter 1 Introduction. What is real world research? Design matters. Evaluation and change. The audience for this book. Returning to the real world. Beginning the journey. Chapter 2 Approaches to Social Research. Introduction. Postmodernism and extreme relativist approaches. The two traditions: quantitative and qualitative social research. The quantitative paradigm. The qualitative paradigm. Paradigms and research questions. A pragmatic approach. Multi-strategy research designs. Realism and real world research. The purposes of research. Practical value of the theoretical material covered in the chapter. PART II PLANNING: SELECTING A STRATEGY. Chapter 3 Developing Your Ideas. Introduction. Deciding on the focus. Searching and reviewing the literature. Research questions. Developing your research question(s). The place of theory. Chapter 4 General Design Issues. Introduction. A framework for research design. Getting a feel for design issues. Choosing a research design strategy. Establishing trustworthiness. Chapter 5 Fixed Designs. Introduction. General features of fixed designs. Establishing trustworthiness in fixed design research. Experimental fixed designs. True experiments. Quasi-experiments. Single-case experiments. Non-experimental fixed designs. Sample size in fixed designs. Chapter 6 Flexible Designs. Introduction. General features of flexible designs. Research traditions in qualitative research. Case studies. Ethnographic studies. Grounded theory studies. Other traditions. Sampling in flexible designs. Establishing trustworthiness in flexible design research. Chapter 7 Multi-strategy (Mixed Method) Designs. Introduction. The quantitative–qualitative incompatibility thesis. The mixed methods movement. Types of multi-strategy designs. Designing and carrying out multi-strategy research. Pragmatism, realism or 'anything goes'? Dealing with discrepancies in findings. Chapter 8 Designs for Particular Purposes: Evaluation, Action and Change. Introduction. Evaluation research. Action research. Intervention and change. Researchers and practitioners. Chapter 9 Ethical and Political Considerations. Introduction. Ethical codes and guidelines. Ethical issues. Researcher safety and risk. Working with vulnerable groups. General ethical responsibilities. Ethical review boards and committees. Politics and real world research. Sexism and social research. PART III TACTICS: THE METHODS OF DATA COLLECTION. Selecting the method(s). Chapter 10 Surveys and Questionnaires. Introduction. Designing surveys. Carrying out a sample survey. Designing and using a questionnaire. Diaries. Sampling in surveys – and elsewhere. Probability samples. Non-probability samples. Chapter 11 Interviews and Focus Groups. Introduction. Types and styles of interviews. General advice for interviewers. Content of the interview. Carrying out different types of interview. Focus groups. Dealing with interview data. Skills in interviewing. Chapter 12 Tests and Scales. Introduction. Measurement scales. Other scaling techniques. Using existing tests and scales. Developing your own test. Chapter 13 Observational Methods. Introduction. Observation in real world research. Approaches to observation. Participant observation. Getting started as a participant observer. Structured observation. Deciding on a coding scheme. The use of existing coding schemes. Developing your own scheme. Coding sequences of behaviour. Reliability and structured observation. Chapter 14 Additional Methods of Data Collection. Introduction. Unobtrusive measures. Content analysis of documents. Secondary data analysis. Introduction to a range of more specialist techniques. Internet-based research. Feminist research methods. Using multiple methods. Chapter 15 Writing a Project Proposal. Introduction. How to recognize a good proposal. The content of a research proposal. The problem of pre-specifying flexible design studies. Shortcomings of unsuccessful proposals. Sources of funding. PART IV CARRYING OUT THE PROJECT: ARRANGING THE PRACTICALITIES. Know what you are doing before starting the data collection. Negotiating access. Get yourself organized. Pilot if at all possible. Work on your relationships. Don't just disappear at the end. Don't expect it to work out as you planned. PART V DEALING WITH THE DATA. Collecting the data. Analysing and interpreting data. Realist analysis and interpretation. Preparing for analysis. Analysis or interpretation? Quantitative and qualitative data – and their integration in multi-strategy designs. Chapter 16 The Analysis and Interpretation of Quantitative Data. Introduction. Creating a data set. Starting data analysis. Exploring the data set. Exploring relationships between two variables. Exploring relationships among three or more variables. Analysing differences. Quantitative analysis and different fixed design research strategies. Chapter 17 The Analysis and Interpretation of Qualitative Data. Introduction. Types of qualitative analysis. Using the computer for qualitative data analysis. Dealing with the quantity of qualitative data. Thematic coding analysis. Data analysis in grounded theory studies. Alternative approaches to qualitative analysis. Integrating qualitative and quantitative data in multi-strategy designs. Chapter 18 Reporting and Disseminating. Introduction. Reporting what you have found. Ethics and reporting. Reporting fixed design research. The scientific journal format. Reporting flexible design studies. Reporting on multi-strategy design studies. Reporting on case studies. Writing for non-academic audiences – the technical report. Alternative forms of presentation. Writing skills. Appendix A: Using Specialist Software for Quantitative Analysis. Appendix B: Using Specialist Software for Qualitative Analysis. Glossary. References and Author Index. Subject Index.

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Book SynopsisTest scores are the go-to metric of policy makers and anxious parents looking to place their children in the best schools. Yet standardized tests are a poor way to measure school performance. Using the diverse urban school district of Somerville MA as a case study, Jack Schneider’s team developed a new framework to assess educational effectiveness.Trade ReviewIn the K–12 arena, I recommend Jack Schneider’s Beyond Test Scores: A Better Way to Measure School Quality for an approach that gets us past the testing charade and reintroduces some of the values we used to associate with ‘good’ schools. -- John Warner * Inside Higher Ed *Everyone cares about ‘good’ schools but, as Schneider makes painfully clear in this well-written book, almost no one agrees on what constitutes a ‘good’ school. By broadening the story to talk about what we mean when we discuss school quality, he makes a critical contribution to policy, discourse, and the public good. This is a great book about an important subject that gets at the heart of American inequality. -- Tressie McMillan Cottom, author of Lower EdIn this engaging, provocative, and at times inspiring book, Jack Schneider not only asks how we can go beyond standard measures of scholastic achievement—he details an approach that is at once original and practical. -- Howard Gardner, author of The App GenerationA clear-eyed, thoughtful step forward in an endeavor everyone should care about: finding out more about how our schools are doing. -- Anya Kamenetz, author of The TestIn this thoughtful and thorough account, Schneider writes about issues that are critical to the future of education and our efforts to ensure that all students have access to good schooling. For those who are ready to move beyond the polarized debates over standardized testing, this book will be enlightening and a breath of fresh air. -- Pedro Noguera, author of Schooling for ResilienceIn this important book, Schneider asks us to reconsider the purpose of schools and how we evaluate them. He reminds us that public schools are a public good, and that their original purpose was to foster the development of good citizens. -- Diane Ravitch, author of Reign of ErrorBy rooting the discussion in what we value, [Schneider] creates a true framework for making informed choices, challenging the ‘failing schools’ narrative by putting test scores in their proper, limited place. -- John Warner * Chicago Tribune *

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Book SynopsisGame theory is central to understanding human behavior and relevant to all of the behavioral sciences - from biology and economics, to anthropology and political science. This title demonstrates, game theory alone cannot fully explain human behavior and should instead complement other key concepts championed by the behavioral disciplines.Trade Review"The Bounds of Reason appears as two books in one. One part develops an epistemic theory of the rational actor as an alternative to what is provided by classical game theory, and the other part is a spirited plea to use behavioral game theory as a unifying tool in all behavioral sciences. Both objectives are highly valuable, but combing them both creates friction. Friction creates heat, and Gintis, who thrives gleefully on controversial issues, may be enjoying the prospect of heated discussions."--Karl Sigmund, American Scientist "Gintis' work reflects an amazing breadth of knowledge of the behavioural sciences. He is ever ready to pose unusual questions and to defend unorthodox proposals. The Bounds of Reason is Gintis' most ambitious project to date, one that draws upon all of his extraordinary originality and learning."--Peter Vanderschraaf, Journal of Economics and Philosophy "The book is a combination of an excellent textbook on game theory and an innovation treatise advocating the unification of the behavioural sciences and refounding of game theory on different epistemic foundations... It is clearly an important contribution to the current debate over the rational actor model that the rise of behaviourial economics has provoked."--OxonomicsTable of ContentsPreface xi 1 Decision Theory and Human Behavior 1 1.1 Beliefs, Preferences, and Constraints 4 1.2 The Rationality of Time Inconsistency 9 1.3 Bayesian Rationality and Subjective Priors 12 1.4 Preferences Are State-Dependent 16 1.5 The Behavioral Revolution 18 2 Game Theory: Basic Concepts 33 2.1 The Extensive Form 33 2.2 The Normal Form 36 2.3 Nash Equilibrium 38 2.4 Correlated Equilibrium 47 3 Game Theory and Human Behavior 48 3.1 Behavioral Game Theory 49 3.2 Character Virtues 76 3.3 The Situational Character of Preferences 78 3.4 The Dark Side of Altruistic Cooperation 79 3.5 Norms of Cooperation: Cross-Cultural Variation 81 4 Rationalizability and Common Knowledge of Rationality 86 4.1 Dominated and Iteratedly Dominated Strategies 87 4.2 Epistemic Games 94 4.3 Rationalizable Strategies 98 4.4 Common Knowledge of Rationality 100 5 Extensive Form Rationalizability 106 5.1 Backward Induction and Dominated Strategies 106 5.2 CKR Fails off the Backward Induction Path 113 5.3 How to Play the Repeated Prisoner's Dilemma 114 5.4 Backward Induction and Extensive Form CKR 116 5.5 On the Inadmissibility of CKR 120 6 The Logical Antinomies of Knowledge 123 6.1 The Pitfalls of Na..ive Epistemic Logic 123 6.2 The Common Knowledge of Logicality Paradox 124 6.3 The Surprise Examination 125 6.4 The Modal Logic of Knowledge 126 6.5 A Truth That Cannot Be Known 128 7 The Mixing Problem: Purification and Conjectures 131 7.1 The Incoherence of Mixed Strategies 131 7.2 Purifying Mixed Strategies 133 7.3 A Reputational Model of Honesty and Corruption 135 7.4 Epistemic Games: Mixed Strategies as Conjectures 138 8 Bayesian Rationality and Social Epistemology 142 8.1 The Sexes: From Battle to Ballet 143 8.2 The Choreographer Trumps Backward Induction 144 8.3 Convention as Correlated Equilibrium 146 8.4 The Social Epistemology of Common Priors 149 8.5 The Social Epistemology of Common Knowledge 151 8.6 Social Norms 153 8.7 Game Theory and the Evolution of Norms 153 9 Common Knowledge and Nash Equilibrium 156 9.1 Nash Equilibrium in Two-Player Games 156 9.2 The Modal Logic of Common Knowledge 159 9.3 The Commonality of Knowledge 162 9.4 The Demise of Methodological Individualism 171 10 The Analytics of Human Sociality 174 10.1 Explaining Cooperation: An Overview 174 10.2 The Folk Theorem 178 10.3 Cooperation with Private Signaling 186 10.4 One Cheer for the Folk Theorem 188 10.5 Altruistic Punishing in the Public Goods Game 190 10.6 The Failure of Models of Self-Regarding Cooperation 193 11 The Unification of the Behavioral Sciences 194 11.1 Gene-Culture Coevolution: The Biological Model 196 11.2 Biological and Cultural Dynamics 202 11.3 The Socio-Psychological Theory of Norms 204 11.4 Socialization and the Internalization of Norms 206 11.5 Varieties of Behavioral Modeling 207 11.6 Society as a Complex Adaptive System 215 11.7 The Behavioral Disciplines Can Be Unified 219 12 Summary 221 12.1 Game Theory 221 12.2 Commonality of Beliefs 221 12.3 The Limits of Rationality 222 12.4 Social Norms as Correlated Equilibria 222 12.5 Reason Is Bounded by Sociality, Not Irrationality 223 13 Table of Symbols 224 References 226 Subject Index 254 Author Index 258

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Book SynopsisA comprehensive and accessible guide to learning and successfully applying QCA Social phenomena can rarely be attributed to single causes—instead, they typically stem from a myriad of interwoven factors that are often difficult to untangle. Drawing on set theory and the language of necessary and sufficient conditions, qualitative comparative analysis (QCA) is ideally suited to capturing this causal complexity. A case-based research method, QCA regards cases as combinations of conditions and compares the conditions of each case in a structured way to identify the necessary and sufficient conditions for an outcome. Qualitative Comparative Analysis: An Introduction to Research Design and Application is a comprehensive guide to QCA. As QCA becomes increasingly popular across the social sciences, this textbook teaches students, scholars, and self-learners the fundamentals of the method, research design, interpretation of results, and how to communicate findings. Following an ideal typical research cycle, the book’s ten chapters cover the methodological basis and analytical routine of QCA, as well as matters of research design, causation and causal complexity, QCA variants, and the method’s reception in the social sciences. A comprehensive glossary helps to clarify the meaning of frequently used terms. The book is complemented by an accessible online R manual to help new users to practice QCA’s analytical steps on sample data and then implement with their own findings. This hands-on textbook is an essential resource for students and researchers looking for a complete and up-to-date introduction to QCA.Trade ReviewMello’s book especially stands out from other publications on QCA in three different areas: the chapters on research design (Chapter II), QCA and its critics (Chapter IX) and the online ‘R Manual’ that accompanies the publication. These elements are especially interesting given the fact they are not discussed in many texts on QCA, thus filling an additional gap in the literature on the method. * Political Studies Review *Table of ContentsList of Boxes, Figures, and Tables Preface Acknowledgments 1. Introduction What Is Qualitative Comparative Analysis? How To Use This Book The QCA Research Cycle A Brief History of QCA Trends in QCA Applications Book Outline Notes 2. Research Design Research Questions Uses of QCA Case Selection Condition Selection Multi-Method Research Designs A Survey of Empirical Applications Notes 3. Set Theory Crisp and Fuzzy Sets Set Operations Truth Tables Necessary and Sufficient Conditions Assessing Set Relations Notes 4. Causation and Causal Complexity Theories of Causation in the Social Sciences Causal Complexity Causal Analysis Notes 5. Calibrating Sets Measurement and Calibration Calibration Procedures Types of Data The Direct Method of Calibration Calibration: Applied Examples Common Misconceptions about Calibration Good Practices of Calibration Notes 6. Measures of Fit Set-Theoretic Consistency Set-Theoretic Coverage Proportional Reduction in Inconsistency Relevance of Necessity Notes 7. Set-Theoretic Analysis Analyzing Necessary Conditions Truth Table Construction Truth Table Analysis Solution Terms Counterfactual Analysis Notes 8. QCA Variants Multi-Value QCA Temporal QCA Two-Step QCA Fuzzy Set Ideal Type Analysis Related Methods and Approaches Notes 9. QCA and Its Critics Analytical Robustness Comparisons with Other Methods Formalization and Algorithms Causal Analysis and Solution Terms Recognizing QCA’s Strengths and Limitations Notes 10. Conclusion Good Research Practice Documenting and Communicating QCA Results QCA Resources The Way Ahead Notes Appendix: Link to Online R Manual Glossary References Index About the Author

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Book SynopsisTrade Review"[Healy’s] prose is engaging and chatty, and the style of instruction is unpretentious and practical . . . This single volume represents an excellent entry point for those wishing to upskill their abilities in data visualization."---Paul Cuffe, IEEE Transactions"Undoubtedly, this book is an excellent introduction to an essential tool for anyone who needs to collect and present data." * Conservation Biology *

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Book SynopsisNothing rings truer to those teaching political science research methods: students hate taking this course. Tackle the challenge and turn the standard research methods teaching model on its head with Political Science Research in Practice. Akan Malici and Elizabeth S. Smith engage students first with pressing political questions and then demonstrate how a researcher has gone about answering them, walking them through real political science research that contributors have conducted. Through the exemplary use of a comparative case study, field research, interviews, textual and interpretive research, statistical research, survey research, public policy and program evaluation, content analysis, and field experiments, each chapter introduces students to a method of empirical inquiry through a specific topic that will spark their interest and curiosity. Each chapter shows the process of developing a research question, how and why a particular method was used, and the rewards and chTrade Review'Most methodology books focus on the dry nuts and bolts of empirical inquiry, and often fail to provide an engaging pedagogical context for undergraduates. This book is different. By embedding methodological discussions within the context of important substantive questions, this volume conveys the science of politics in action. I only wish that such a book were available when I was a student.'—Howard Lavine, Arleen C. Carlson Professor of Political Science, University of Minnesota'Malici and Smith do two things we rarely see in research methods texts: they cover the rich, broad spectrum of empirical approaches in the discipline and they convey these techniques through first-hand examples. The result is a book that is engaging, accessible, and uniquely valuable to political science students and instructors.'—Francis Neely, Associate Professor, San Francisco State University‘The timely update of Malici and Smith's book helps students understand how political scientists investigate real-world problems using a full spectrum of methodological tool set. It continued the previous edition's one-of-a-kind storytelling approach that makes political science research approachable, relevant, and even fun. It will be welcomed by both teachers and students of political science research methods alike.’— Yi Edward Yang, Professor of Political Science, James Madison UniversityTable of ContentsPreface 1. Why Do We Need A Science Of Politics? [Elizabeth S. Smith and Akan Malici] 2. How Do We Get A Science Of Politics? [Akan Malici And Elizabeth S. Smith] 3. The Comparative Case Study Method: "Uncivil Society" In the Arab Uprisings [Zaid Eyadat] 4. Field Research: Navigating Politically Sensitive Research in China [Katherine Palmer Kaup] 5. Interviewing In Political Science Research: Who Resists Injustice? [Kristina Thalhammer] 6. Critical and Interpretive Research: Understanding Torture’s Popularity in The United States [Brent J. Steele] 7. Statistical Research: Lack of Citizenship, The Achilles’ Heel of Latino Political Power [Adrian D. Pantoja And Sarah Allen Gershon] 8. Survey Research: Religion and Electoral Behavior in The United States, 1936-2016 [Lyman A. Kellstedt And James L. Guth] 9. Public Policy and Program Evaluation: Does High School Type Affect College Success? [David J. Fleming, Joshua M. Cowen, And Deven Carlson] 10. Content Analysis: Congressional Communication Through Broadcast and New Media [C. Danielle Vinson] 11. Field Experiments: Wired To Mobilize: The Effect of Social Networking Messages On Voter Turnout [Holly Teresi And Melissa R. Michelson] 12. Normative And Ethical Considerations Of Political Science Research [Elizabeth S. Smith And Akan Malici]

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Book SynopsisThis best-selling text pioneered the comparison of qualitative, quantitative, and mixed methods research design. For all three approaches, John W. Creswell and new co-author J. David Creswell include a preliminary consideration of philosophical assumptions, key elements of the research process, a review of the literature, an assessment of the use of theory in research applications, and reflections about the importance of writing and ethics in scholarly inquiry. New to this Edition: Updated discussion on designing a proposal for a research project and on the steps in designing a research study Additional content on epistemological and ontological positioning in relation to the research question and chosen methodology and method Additional updates on the transformative worldview Expanded coverage on specific approaches such as case studies, participatory action research, and visual methods Additional information about qualitative and quantitative data analysis, social media, online qualitative methods, and mentoring and reflexivity in qualitative methods Incorporation of action research and program evaluation in mixed methods and coverage of the latest advances in the mixed methods field Additional information about causality and its relationship to statistics in quantitative methods Incorporation of writing discussion sections into each of the three methodologies An invaluable guide for students and researchers across the social and behavioural sciences.Table of ContentsAnalytic Contents of Research Techniques Preface Companion Website Acknowledgments About the Authors PART I PRELIMINARY CONSIDERATIONS Chapter 1 The Selection of a Research Approach Chapter 2 Review of the Literature Chapter 3 The Use of Theory Chapter 4 Writing Strategies and Ethical Consideration PART II DESIGNING RESEARCH Chapter 5 The Introduction Chapter 6 The Purpose Statement Chapter 7 Research Questions and Hypotheses Chapter 8 Quantitative Methods Chapter 9 Qualitative Methods Chapter 10 Mixed Methods Procedures Glossary References Author Index Subject Index

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Book SynopsisCo-authored by an international team of experts across disciplines, this important book is one of the first to demonstrate the enormous benefit creative methods offer for education research. It illustrates how using creative methods, such as poetic inquiry, theatre and animation, can support learning and illuminate participation and engagement.Trade Review"This is a well-written, accessible and thought-provoking book that promotes the use of creative methods in educational research in a balanced way... I am very glad to have the book on my shelf and would definitely recommend it to students, but also to researchers wanting to reflect on their practice." International Journal of Research & Method in Education“While giving clear and practical advice, with lots of case study examples, the book also speaks with a friendly authority that makes it feel both reassuring and inspiring.” Social Research Association Research MattersTable of ContentsIntroduction Research Design Context-Setting Data Gathering Using Two Dimensional and Technological Methods – Research With Children and Young People Data Gathering Using Three Dimensional and Online Methods – Research With Adults Data Analysis Writing/Reporting Presentation Dissemination Where to Next With Creative Research Methods

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Book SynopsisThis concise and approachable introduction to statistics limits its coverage to the concepts most relevant to social workers. Besides presenting key concepts, it focuses on real-world examples that students will encounter in a social work practice.Trade ReviewStatistics in Social Work is a practical and effective resource for social work students. Batchelor requires no prior knowledge of statistics from her readers and explains topics in plain language with relatable examples. Most importantly, she offers a social justice perspective that emphasizes and integrates the core value of the social work profession. -- Ashley Davis, Boston UniversityThis is an excellent introduction to statistics for both students and practitioners in social work—it demystifies terms and procedures and uses real world examples to help the reader to see the everyday applicability of statistical knowledge, whether in practice or in study. -- John Devaney, coauthor of Quantitative Research Methods for Social Work: Making Social Work CountTable of ContentsAcknowledgments1. Introduction2. Creating Useful Data3. Understanding People and Populations4. Variance: The Distance Between Us5. The Statistics of Relationships6. Sampling: The Who and the How7. What Works? Hypothesis Testing and Inferential Statistics8. When Two Is Not Enough: Testing with Multiple Groups9. An Introduction to Advanced ConceptsAppendix I: GlossaryAppendix II: Answer Key for Review QuestionsAppendix III: Equations Cheat SheetReferences

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Book SynopsisINSTANT NEW YORK TIMES BESTSELLEROne of the most important books I've ever read-an indispensable guide to thinking clearly about the world. - Bill GatesHans Rosling tells the story of 'the secret silent miracle of human progress' as only he can. But Factfulness does much more than that. It also explains why progress is so often secret and silent and teaches readers how to see it clearly. -Melinda GatesFactfulness by Hans Rosling, an outstanding international public health expert, is a hopeful book about the potential for human progress when we work off facts rather than our inherent biases. - Former U.S. President Barack ObamaFactfulness: The stress-reducing habit of only carrying opinions for which you have strong supporting facts. When asked simple questions about global trends-what percentage of the world's population live in poverty; why the world's population is increasing; how

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Book SynopsisResearchers frequently experience sexualized interactions, sexual objectification, andharassmentas they conduct fieldwork.These experiences are often left out of ethnographers' tales from the field and remain unaddressed within qualitativeliterature.Harassedargues that the androcentric, racist, and colonialist epistemological foundations of ethnographicmethodology contribute to the silence surrounding sexualharassmentand other forms of violence. Rebecca Hanson and Patricia Richards challenge readers to recognizehow these attitudes put researchers at risk, further the solitude experienced by researchers,lead others to question the validity of their work, and, inturn, negatively impact the construction of ethnographic knowledge. To improve methodological training, data collection,and knowledge produced by all researchers,Harassedadvocates for an embodied approach to ethnography that reflexively engages with theways in which researchers' bodies shape the knowledge they produce. By challenTrade Review"Harassed is an important, insightful text that should become a staple for research methods classes in anthropology, sociology, and women’s and gender studies. . . . This is a must-read for anyone conducting or supervising ethnographic research. . . . Highly recommended." * CHOICE *"One of this book’s major contributions is to lay bare the gendered character of ethnography as practical endeavor and intellectual pursuit. Interview extracts vividly convey how prevailing conventions create pernicious traps and impossible binds for female researchers, for whom the very act of entering a field site alone and unknown frequently contravenes prescribed norms of feminine conduct and so renders them vulnerable to overtures and advances. . . . While positioned as a challenge to institutional silence, Harassed could instead be seen as throwing down the gauntlet, providing a comprehensive appraisal of the problem and setting out clear-headed proposals for change." * Times Higher Education *"One of this book’s major contributions is to lay bare the gendered character of ethnography as practical endeavor and intellectual pursuit. Interview extracts vividly convey how prevailing conventions create pernicious traps and impossible binds for female researchers, for whom the very act of entering a field site alone and unknown frequently contravenes prescribed norms of feminine conduct and so renders them vulnerable to overtures and advances. . . . While positioned as a challenge to institutional silence, Harassed could instead be seen as throwing down the gauntlet, providing a comprehensive appraisal of the problem and setting out clear-headed proposals for change." * Times Higher Education *"Harassed should be required reading for any class on ethnography or in-depth interviewing, for any researcher conducting ethnography or interviews, and for any faculty member who is advising students conducting such work. Armed with this book, researchers will not only be better able to protect themselves but they will also gain a model for how to learn and teach from their own embodied experiences in the field." * Gender & Society *"When my friends and I faced gendered issues during fieldwork, we viewed it as an anomalous problem to manage as best we could. Hanson and Richards move beyond individual-level suggestions on how to handle risks; they challenge academic assumptions about the very nature of ethnography. Their vision of an embodied ethnography should inform ongoing conversations about how we produce knowledge as well as how to appropriately train and support our students and colleagues." * Social Forces *"Harassed should be required reading for any class on ethnography or in-depth interviewing, for any researcher conducting ethnography or interviews, and for any faculty member who is advising students conducting such work. Armed with this book, researchers will not only be better able to protect themselves but they will also gain a model for how to learn and teach from their own embodied experiences in the field." * Gender & Society *"The book is an essential read for any student and/or researcher using and/or teaching ethnography as a methodology, as it is a much-needed point of departure for a discussion about the roles of our bodies, gender, and sexuality in our interactions with other people and in the construction of ethnographic knowledge. Moreover, it is an essential read for anyone engaged in international development research as it complements calls within the wider research governance framework for increased safeguarding, accountability, and transparency." * Anthropology in Action *Table of ContentsAcknowledgments Introduction 1 • Ethnographic Fixations 2 • Gendered Bodies and Field Research 3 • Sexual Harassment in the Field 4 • The Costs 5 • Constructing Knowledge 6 • Moving Forward Notes References Index

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Book SynopsisAddressing the key challenges facing doctoral students, this text fills a gap in qualitative literature by offering comprehensive guidance and practical tools for navigating each step in the qualitative dissertation journey, including the planning, research, and writing phases. Author Linda Dale Bloomberg blends the conceptual, theoretical, and practical, so that the book becomes a dissertation in actiona logical and cohesive explanation and illustration of content and process. The Fifth Edition includes a greater focus on how qualitative traditions or genres can encompass a critical social justice agenda, and this broader coverage allows the book to have wider application for dissertation work within the constantly evolving field of qualitative inquiry. This edition also addresses some significant changes in the field that have come about since the onset of the COVID-19pandemic, impacting how to conduct dissertation research both ethically and credibly by adopting new and innovative methods and approaches. A greater focus on ethics, rigor, researcher positionality, and reflexivity is highlighted and interwoven throughout. Trade ReviewI wish I had known about this fantastic book early in my dissertation process. I came across it in chapter 4, and it rescued me. It gave me a clear idea of what I needed to work on and helped me refine my chapter 3 drastically. It is very informative, structured, detailed, and has a road map for you. Honestly, this book became the best resource I had, and I cannot emphasize enough how vital it was for me to finish my dissertation. Highly recommended. -- Pascale KoayessI had the privilege of having Dr. Bloomberg as my dissertation chair, and I can testify that this book is truly a roadmap to completing your dissertation. This updated edition provides student-friendly tables and figures with examples to support your dissertation journey. The companion website also provides resource templates that will save time and guide you through every step of completing your qualitative dissertation from beginning to end. -- Janelly L. GarzaI cannot recommend this book enough. Dr. Bloomberg′s writing style is accessible, practical, and organized, as well as inspirational and motivating. This book provided conceptual guidance to me as well as hands-on checklists and examples to ensure my research methods and writing were aligned, clear, and concise. This updated fifth edition continues Dr. Bloomberg′s focus on relevance and applicability with information guiding research post-pandemic, as well as continuing to push the envelope of cutting-edge qualitative design. This should be on the shelf of every qualitative researcher--student or practitioner! -- Mickey Fitch-CollinsDr. Bloomberg has given qualitative researchers the practical map needed to reduce intimidation and empower students to succeed. When I supervised doctoral students, the first advice I gave to new mentees was: buy this book. This new edition updates the material and references, and is revised for added clarity. The book is written in a straightforward, jargon-free manner that students find reassuring. Helpful tables, checklists, and worksheets tame the chaos of the research process. The overall message of the book is: you can do this. -- Janet Salmons * SAGE Methodspace *This is an excellent resource for doctoral dissertation students wanting a step-by-step formula to help them on their qualitative dissertation journey. The book is easy to navigate, informative, and easy to read. New to this edition is a chapter on ethics and rigor: the clarity of discussion and depth of information on trustworthiness, rigor, ethics, the Belmont Report, and the challenges amid and after the COVID-19 pandemic, is exceptional. -- Janet A. BobergI would have been lost in the process and given up my doctoral journey if had not found this book. This straightforward, comprehensive, well written road map helps researchers, both naïve and experienced, to reach their destination in a timely manner. The author uses scholarly language that is not overly complicated, and there are templates, checklists, reflexive questions to guide and model each step of the dissertation process. In the fifth edition includes more focus on reflexivity, positionality, inclusion, ethics and trustworthiness. A ‘must have’ for doctoral students. -- Meral MuyesserTable of ContentsPart I: Taking Charge of Yourself and Your Work 1. A Complete Dissertation: Viewing the Big Picture 2. Gearing Up: There Is Method in the Madness 3. Choosing a Qualitative Research Design 4. Ensuring Rigor and Ethics in Qualitative Research 5. Achieving Alignment Throughout Your Dissertation Part II: Content and Process: A Chapter-by-Chapter Road Map 6. Introduction to Your Study 7. Developing and Presenting Your Literature Review 8. Presenting Research Methodology, Design, and Methods 9. Analyzing Data and Reporting Findings 10. Qualitative Meta-Synthesis: Analyzing and Interpreting Findings 11. Drawing Trustworthy Conclusions and Presenting Actionable Recommendations Part III: Nearing Completion 12. Some Final Technical Considerations 13. Defense Preparation and Beyond

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Book SynopsisHarm takes shape in and through what is suppressed, left out, or taken for granted.This book is a guide tounderstanding and uncovering what is left unsaidwhether concealed or silenced, presupposed or excluded. Drawing on a variety of real-world examples, narrative criminologist Lois Presser outlines how to determine what or who is excluded from textual materials. With strategies that can be added to the tool kits of social researchers and activists alike, Unsaidprovides a richly layered approach to analyzing and dismantling the power structures that both create and arise from what goes without saying.Trade Review"Presser concedes the impossibility of creating a comprehensive, all-inclusive text in which nothing is left unsaid as she advocates for honest and critical reflection to identify the unspoken assumptions and silenced viewpoints characteristic of all texts." * CHOICE *Table of ContentsContents Preface Acknowledgments 1. Kept Quiet 2. Too Little or Too Much Said 3. Figurative Expression 4. Missing Subjects 5. The Social Construction of Absences 6. Concluding Remarks: Boundless Texts, Better Worlds Appendix: A Word on Sampling Glossary Notes References Index

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Book SynopsisAcclaim for the first edition:'A tour-de-force of trust research methodologies, from survey methods to critical incidents to hermeneutics... will prove invaluable to trust researchers of every stripe.'- Aks Zaheer, University of Minnesota'This book fills an important gap. The burgeoning field of trust research has employed a wide variety of definitions and methods, but until the appearance of this Handbook there was no comprehensive overview of them. Its contributions, many written by leading international experts, cover conceptual issues as well as qualitative and quantitative methods. The editors are all working at the frontiers of trust research and in this Handbook they have compiled an indispensable source of reference for years to come.'- John Child, University of Birmingham, UK'This is the right book at the right time. Central to the advancement of research on trust is the need to address a host of methodological, empirical, and analytical challenges. This Handbook provides a vital resource for doing so and holds the promise of infusing the literature with novel and enhanced approaches for studying and understanding trust. Researchers new to the field as well as established experts will find a wealth of insights contained herein.'- Bill McEvily, University of Toronto, CanadaDrawing together a wealth of research methods knowledge gained by trust researchers into one essential volume, this book provides an authoritative in-depth consideration of quantitative and qualitative methods for empirical study of trust in the social sciences.This second edition of the Handbook of Research Methods on Trust provides a fully updated and extended account of quantitative, qualitative and mixed methods for empirical research. While many researchers have already drawn inspiration and insight from the previous edition, the dynamic development of trust research calls for further and deeper engagement with methodological issues, particular methods, practical research experience, and current challenges and innovations as offered by this new edition.Identifying innovative methods for researching trust, this important handbook will prove invaluable for students and academics in the social sciences who are interested in trust, particularly postgraduates planning empirical research on trust, undergraduates researching issues of trust, faculty teaching research-based courses on trust and related topics, and experienced trust researchers looking for reflection, discussion and inspiration.Contributors: S.J. Addison, N. Alex, M.J. Ashleigh, R. Bachmann, D. Barrera, K.M. Bijlsma-Frankema, M.C. Bligh, B.F. Blumberg, G. Breeman, C. Brinsfield, C. Burns, V. Buskens, J.S. Carroll, S.M. Conchie, D.L. Ferrin, D.E. Gibbons, N. Gillespie, C. Goodall, J.C. Kohles, R.M. Kramer, T.M. Kühlmann, A. Langley, V. Le Gall, R.J. Lewicki, E. Meyer, M. Muethel, R. Münscher, B. Nooteboom, J.M. Peiró, A. Pentland, R.L. Priem, W. Raub, R.A. Roe, D.M. Rousseau, R.H. Searle, M. Tillmar, E.M. Uslaner, B. Waber, A.A. Weibel, F. Welter, M. Williams, R. ZolinTrade ReviewAs any field of academic study matures, researchers refine methods for investigating the phenomenon of interest. For research on trust, this Handbook Second Edition reflects where the trust literature has been, where it is now, and where it is going with respect to research methods. If you are a mature trust scholar, or someone starting research on trust, the Handbook is an indispensable resource for evaluating the full range of methods that may be appropriate for your study. --Steven C. Currall, University of California, DavisTable of ContentsContents: 1. Introduction. Researching Trust: The Ongoing Challenge of Matching Objectives and Methods Fergus Lyon, Guido Möllering and Mark N.K. Saunders PART I CONCEPTUAL ISSUES 2. Pursuing Ecological Validity in Trust Research: Merits of Multi-Method Research Roderick M. Kramer 3. An Abductive Approach to Investigating Trust Development in Strategic Alliances Véronique Le Gall and Ann Langley 4. Trust Research: Measuring Trust Beliefs and Behaviors Roy J. Lewicki and Chad Brinsfield 5. Agent-Based Simulation of Trust Bart Nooteboom 6. Researching Trust in Different Cultures Friederike Welter and Nadezhda Alex 7. Trust and Social Capital: Challenges for Studying their Dynamic Relationship Boris F. Blumberg, Jose M. Peiró and Robert A. Roe 8. Measuring Generalized Trust: In Defense of the ‘Standard’ Question Eric M. Uslaner PART II QUALITATIVE RESEARCH 9. Access and Non-Probability Sampling in Qualitative Research on Trust Fergus Lyon 10. Working With Difficult to Reach Groups: A ‘Building Blocks’ Approach to Researching Trust in Communities Christine Goodall 11. Cross-Cultural Comparative Case Studies: A Means of Uncovering Dimensions of Trust Malin Tillmar 12. Using Mixed Methods-Combining Card Sorts and In-Depth Interviews Mark N.K. Saunders 13. Mixed Methods Application in Trust Research: Simultaneous Hybrid Data Collection in Cross-Cultural Settings Using the Board-Game Method Miriam Muethel 14. Using Scenarios as Part of a Concurrent Mixed Methods Design Susan J. Addison 15. Utilising Repertory Grids in Macro-Level Comparative Studies Reinhard Bachmann 16. Deepening the Understanding of Trust: Combining Repertory Grid and Narrative to Explore the Uniqueness of Trust Melanie J. Ashleigh and Edgar Meyer 17. Studying Trust Relationships using Social Network Analysis Roxanne Zolin and Deborah E. Gibbons 18. Hermeneutic Methods in Trust Research Gerard Breeman 19. Using Critical Incident Technique in Trust Research Robert Münscher and Torsten M. Kühlmann PART III QUANTITATIVE APPROACHES 20. Survey Measures of Trust in Organizational Contexts: An Overview Nicole Gillespie 21. The Actor–Partner Interdependence Model: A Method for Studying Trust in Dyadic Relationships Donald L. Ferrin, Michelle C. Bligh and Jeffrey C. Kohles 22. Embedded Trust: The Analytical Approach in Vignettes, Laboratory Experiments and Surveys Davide Barrera, Vincent Buskens and Werner Raub 23. Measuring the Decision to Trust Using Metric Conjoint Analysis Richard L. Priem and Antoinette A. Weibel 24. Diary Methods in Trust Research Rosalind H. Searle 25. Measuring Implicit Trust and Automatic Attitude Activation Calvin Burns and Stacey M. Conchie 26. A Voice is Worth a Thousand Words: The Implications of the Micro-Coding of Social Signals in Speech for Trust Research Benjamin Waber, Michele Williams, John S. Carroll and Alex ‘Sandy’ Pentland 27. It Takes a Community to Make a Difference: Evaluating Quality Procedures and Practices in Trust Research Katinka M. Bijlsma-Frankema and Denise M. Rousseau Index

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Book SynopsisStraightforward, clear, and applied, this book will give you the theoretical and practical basis you need to apply data analysis techniques to real data. Combining key statistical concepts with detailed technical advice, it addresses common themes and problems presented by real research, and shows you how to adjust your techniques and apply your statistical knowledge to a range of datasets. It also embeds code and software output throughout and is supported by online resources to enable practice and safe experimentation. The book includes: · Original case studies and data sets · Practical exercises and lists of commands for each chapter · Downloadable Stata programmes created to work alongside chapters · A wide range of detailed applications using Stata · Step-by-step guidance on writing the relevant code. This is the perfect text for anyone doing statistical research in the social sciences getting started using Stata for data analysis. Trade ReviewNewly updated, now with more advanced content, this book remains a must have for those studying applied statistics. The book is practically orientated with intuitive theoretical explanations, a wide array "how-to-do-it" examples and an engaging narrative. You won’t’ be sorry! -- Franz BuschaThis is a most impressive teaching and learning resource. Mehmetoglu and Jakobsen expertly introduce introductory to advanced social science data analysis skills in a clear and engaging manner. This text teaches students how to do data analysis in a transparent and principled manner. -- Roxanne ConnellyMehmetoglu and Jakobsen′s book offers a concise, yet comprehensive, introduction to the statistical methods that are widely used in data analysis. In addition to presenting a thorough overview of the basics of conducting empirical research, the book also emphasizes how to use Stata to analyze data in practice. This book is an excellent starting point for those who are interested in empirical work. -- Hector H. SandovalTable of ContentsChapter 1. Research and Statistics Chapter 2. Introduction to Stata Chapter 3. Simple (Bivariate) Regression Chapter 4. Multiple Regression Chapter 5. Dummy-Variable Regression Chapter 6. Interaction/Moderation Effects Using Regression Chapter 7. Linear Regression Assumptions and Diagnostics Chapter 8. Logistic Regression Chapter 9. Survival Analysis Chapter 10. Multilevel Analysis Chapter 11. Panel Data Analysis Chapter 12. Time Series Analysis Chapter 13. Exploratory Factor Analysis Chapter 14. Structural Equation Modelling and Confirmatory Factor Analysis Chapter 15. Advanced Statistical Techniques Chapter 16. Programming and Dynamic Reporting Using Stata

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Book SynopsisThis engaging book explores the porous borders of research with art, therapy and education, helping researchers reflect on their practice and consider more carefully the potential consequences and impacts of their work.Table of ContentsPart 1: Introduction to qualitative, creative, and embodied research Introduction to Part 1 Lesson 1: Reflection Lesson 2: Awareness Lesson 3: Relationship Part 2: Disciplinary borders Introduction to Part 2 Lessons from art Lessons from science Lessons from ethics Part 3: Case studies Introduction to Part 3 Case study 1: Working with children Case study 2: Working with artists and researchers Case study 3: Working with embodied academics Case study 4: Working with scientists Weaving in

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Book SynopsisTrade Review[A] compelling and timely book * Kevin Morgan, Regional Studies *Want to be an innovation hot spot? Don't copy Silicon Valley... we should remember what innovation is and why we care about it. The first part comes down to realising that innovation is not invention. * John Morgan, The Times Higher Education *The abiding message of Breznitz's book is that it is a mistake to assume that "what works in one time and one place will always work across time and space... a defense of experiments, mistakes, and the right to choose. * William H. Jeneway, Project Syndicate *In this fascinating book, Breznitz, a professor at the Munk School at the University of Toronto, argues that innovation is 'the only way to ensure sustained long-term economic and human-welfare growth'. But, crucially, 'innovation is not invention, nor is it high-tech and the creation of new technology and gadgets". It is "the complete process of taking new ideas and devising new or improved products and services.' This Catholicism gives fascinating insights. * Martin Wolf, Financial Times *This book provides valuable guidance for all governmental or business leaders who are trying to find sustainable solutions in the midst of turbulent circumstances. Technology provides enormous opportunities, but these will be realized only through excellent leadership and management. * Aho Esko, former Prime Minister of Finland *Writing a book with advice to local leaders on how to create innovative ecosystems, which are resistant to the centrifugal forces of globalization, was a brilliant idea. This book proves that a precisely structured narrative can be a powerful tool to communicate the results of excellent academic research. * Marek Belka, former Prime Minister of Poland; Head of the Central Bank of Poland *A must-read book for researchers, mayors, economic developers and all those concerned with building more innovative and inclusive places. Breznitz combines cutting-edge research on innovative clusters and ecosystems, with laser-like focus on what works and what does not. His book provides a much-needed reminder that Silicon Valley is the wrong model: Cities across the world must forged their own unique paths and strategies for innovation and prosperity. * Richard Florida, author of Rise of the Creative Class *Breznitz's brilliant research on innovation and growth strategies coupled with a meticulous focus on explaining what does is means in practical terms for local leaders, makes is a must read for anyone who cares about their community. A truly important book and a highly enjoyable read. * Thierry Mandon, Former Minister of Public Accounts and State Reform and Minister of Higher Education and Research, France *In writing this highly engaging and accessible book, Breznitz has done an important public service. Readers interested in the future of innovation and prosperity will avail themselves of not only the most cutting-edge research, but also understand how it applies to their own community. Breznitz's provocative arguments against the Silicon Valley model and the Venture Capital Industry caused me to nod my head in agreement as the former Chief Scientist of Israel and wince in pain as an active Venture Capitalist at the same time. This's a tour de force and a must read for policy makers and concerned, but hopeful, citizens. * Avi Hasson, former Chief Scientist of the Ministry of Economy of the State of Israel *Finally, a book which is not only a masterful piece of research but is also extremely useful for policy makers. This very well written and superbly research book is a much-needed eye opener for the multiple opportunities that exist in our globalized world. * Victor Sánchez Urrutia, National Secretariat for Science, Technology and Innovation, Panama *Dan Breznitz has written a terrific piece which has influenced my thinking about the varied and multifaceted approaches to innovation that we need dependent on place. * Ro Khanna, Member of Congress *The 'problem with startup ecosystems' says Breznitz, 'is the assumption of homogeneity. They think about their whole population as potential founders of new companies.' They need to instead 'realize that people have experience and capacities at all ages, all backgrounds. What a 45-year-old needs to start a real company is completely different from what three 22-year-olds will need.' This is exactly right-and something that I explore in my own book (if I can get it finished)." * Dane Stangler, Forbes.com *It's what I think the doctor ordered as an exploration for some of the deep social tensions." ~Rob Johnson, president of the Institute for New Economic ThinkingTable of ContentsAcknowledgments Introduction Part I: The State of Innovation Chapter 1: The New Globalization of Innovation Chapter 2: The Silicon Peaches Chapter 3: Startups are Everywhere! (But The Growth Statistics) Chapter 4: Making America Great Again? Part II: Innovation and Prosperity Chapter 5: Four are Better Than One (But First, Let Us Plan It Strategically) Chapter 6: Singing and Designing--Incrementally--Innovation-Based Growth Chapter 7: Out With The Old, In With The New! But in What Ways? Chapter 8: Looking for Better Options: The Science of Innovation Policies and Agencies in a Globally Fragmented World Part III: The Three Dysfunctionals A Short Introduction to Part III Chapter 9: Our Anti-Intellectual Property Rights System Chapter 10: The Road to Hell is Paved with Good Intentions: The Age of Financialization Chapter 11: Data: Why Mining Us is the New Boom and For Whom Conclusion: In Defense of Experiments, Mistakes, and the Right to Choose Index Bibliography

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Book Synopsis2024 Daniel E. Griffiths Research Award Winner 2024 Outstanding Academic Title, given by Choice Reviews An expansive volume presenting crip approaches to writing, research, and publishing. Crip Authorship: Disability as Method is an expansive volume presenting the multidisciplinary methods brought into being by disability studies and activism. Mara Mills and Rebecca Sanchez have convened leading scholars, artists, and activists to explore the ways disability shapes authorship, transforming cultural production, aesthetics, and media. Starting from the premise that disability is plural and authorship spans composition, affect, and publishing, this collection of thirty-five compact essays asks how knowledge about disability is produced and shared in disability studies. Disability alters, generates, and dismantles method. Crip authorship takes place within and beyond the commodity version of authorship, in books, on social media, and in creative works that will never be published. The chapters draw on the expertise of international researchers and activists in the humanities, social sciences, education, arts, and design. Across five sectionsWriting, Research, Genre/Form, Publishing, Mediacontributors consider disability as method for creative work: practices of writing and other forms of composition; research methods and collaboration; crip aesthetics; media formats and hacks; and the capital, access, legal standing, and care networks required to publish. Designed to be accessible and engaging for students, Crip Authorship also provides theoretically sophisticated arguments in a condensed form that will make the text a key resource for disability studies scholars. Essays include Mel Y Chen on the temporality of writing with chronic illness; Remi Yergeau on perseveration; La Marr Jurelle Bruce on mad Black writing; Alison Kafer on the reliance of the manifesto genre on disability; Jaipreet Virdi on public scholarship for disability justice; Ellen Samuels on the importance of disability and illness to autotheory; Xuan Thuy Nguyen on decolonial research methods for disability studies; Emily Lim Rogers on virtual ethnography; Cameron Awkward-Rich on depression and trans reading methods; Robert McRuer on crip theory in translation; Kelsie Acton on plain language writing; and Georgina Kleege on description as an access and aesthetic technique.Trade Review"Crip Authorship moves directly into the most urgent debates in critical disability studies, focusing on questions of methodology, race, queerness, cross-disability solidarity, and what it means to make or publish crip work. An extraordinary array of authors, both emerging and well-known, contribute original pieces and provoke thrilling new conversations. This remarkable volume will be of interest to readers across many fields and methodological orientations. Crip Authorship argues for, and also demonstrates, the powerful interdisciplinarity of crip scholarship and its potential to work toward greater justice." * Margaret Price, author of Crip Spacetime *"This is a fantastic, urgent, singular, and kaleidoscopic book. Crip Authorship uses disability to explode the very idea of method: this is a book about research, but also about writing, thinking, publishing, and inhabiting. Crip Authorship is essential reading for any scholar who does anything with disability in their work; it is even more essential reading for those who don’t. This is a field-changing collection." * Jonathan Sterne, author of Diminished Faculties: A Political Phenomenology of Impairment *"This field-changing collection is theoretically sophisticated and politically charged! This book crucially shows how disability is not only an identity formation, but also a method to revise how we write, critique, and enact change. The collection most importantly engages disability as it relates to race, the non-West, colonialism, sexuality, gender identity, and class, offering an exciting and much needed model for our field. This text redefines how we theorize, imagine, and produce disability." * Hentyle Yapp, University of California, San Diego *"This illuminating collection of essays focuses on the variety and value of crip creation, methodology, writing and research. With contributions from Mel Y Chen, Jaipreet Virdi, Emily Lim Rogers, Ellen Samuels and many more, it is urgent and original." -- Karla Strand * Ms. Magazine *"The intent of this collective volume, expertly edited by long-standing disability advocates and scholars Mara Mills and Rebecca Sanchez, is to show how disability can function as a methodologic prism to perceive authorship issues and return them in a radically different way, finding natural intersections with a whole universe of critical studies representing organization studies in diverse manners." * PuntoOrg *

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Book SynopsisThe new edition of the best-selling text,Research Design: Qualitative, Quantitative, and Mixed Methods ApproachesbyJohn W. Creswelland co-authorJ. David Creswell,continues thepioneering tradition of providing clear and concise instruction for understanding research and developing proposals for all three approaches. This classic text walks students through research methods, starting with a preliminary consideration of philosophical assumptions, continuing with a review of the literature, an assessment of the use of theory in research approaches, and ending with reflections about the importance of writing and ethics in scholarly inquiry in a way that is applicable to all types of research. Coverage of key elements of the research process helps readers organize and develop their research project, giving specific attention to each methodological approach. The book has been lauded forits language and tone, which are both accessible and inviting. StTable of ContentsPart I: Preliminary Considerations Chapter 1: The Selection of a Research Approach Chapter 2: Review of the Literature Chapter 3: The Use of Theory Chapter 4: Writing Strategies and Ethical Considerations Part II: Designing Research Chapter 5: The Introduction Chapter 6: The Purpose Statement Chapter 7: Research Questions and Hypotheses Chapter 8: Quantitative Methods Chapter 9: Qualitative Methods Chapter 10: Mixed Methods Procedures Glossary References

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Book SynopsisExplores past, current, and future policies and trends concerning the sales and illicit movement of artifacts from Mesoamerica to museums and private collections. Informed by the fields of anthropology, economics, law, and criminology, contributors critically analyse practices of research and collecting in Central American countries.Trade Review“The book’s fresh insights break new paths of research in archaeological looting, the antiquities trade, and national and international heritage law.”—Anthropology Book Forum“An insightful and fascinating exploration. . . . Offers a cutting-edge analysis of the antiquities market that should be of interest to archaeologists, museum professionals, and art historians as well as criminologists and sociologists.”—Hispanic American Historical Review

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Book SynopsisPerpetrators of mass violence are commonly regarded as evil. Their violent nature is believed to make them commit heinous crimes as members of state agencies, insurgencies, terrorist organizations, or racist and supremacist groups. Upon close examination, however, perpetrators are contradictory human beings who often lead unsettlingly ordinary and uneventful lives. Drawing on decades of on-the-ground research with perpetrators of genocide, mass violence, and enforced disappearances in Cambodia and Argentina, Antonius Robben and Alex Hinton explore how researchers go about not just interviewing and writing about perpetrators, but also processing their own emotions and considering how the personal and interpersonal impact of this sort of research informs the texts that emerge from them. Through interlinked ethnographic essays, methodological and theoretical reflections, and dialogues between the two authors, this thought-provoking book conveys practical wisdom for the benefit of other researchers who face ruthless perpetrators and experience turbulent emotions when listening to perpetrators and their victims. Perpetrators rarely regard themselves as such, and fieldwork with perpetrators makes for situations freighted with emotion. Research with perpetrators is a difficult but important part of understanding the causes of and creating solutions to mass violence, and Robben and Hinton use their expertise to provide insightful lessons on the epistemological, ethical, and emotional challenges of ethnographic fieldwork in the wake of atrocity.Trade Review"In Robben and Hinton's 'encounter with humanity's dark side' the perpetrator researcher and the evildoer become inextricably intertwined. Researchers' intimate fieldwork contact with perpetrators of mass atrocity sullies them, they feel dirty. And, yet, it reveals complex and contradictory human beings that unsettle facile assumptions about their monstrosity. How do researchers incorporate cognitive and affective empathy to understand the 'priming' that make atrocities possible, while condemning those acts? Perpetrators establishes the craft for doing so."—Leigh Payne, Oxford University"Written as a sustained conversation between two foundational figures in the field of perpetrator studies, this book offers a rich exploration of the individuals who operate the machinery of mass murder. The authors combine profound insights into universal phenomena, while demonstrating the importance of understanding local specificities and moral economies. This unsettling book charts a future research agenda for those who seek to understand the disturbing, unholy mixture of humanity among those who engage in lethal violence."—Kimberly Theidon, Tufts University"Perpetrators[:] Encountering Humanity's Dark Side provides a therapeutic and rewarding read for anthropologists and social scientists who have come into contact with agents of violence through their research, as well as for those who expect to do so."—Sergen Bahceci, Anthropology Book Forum"The book offers a curative reading: healing and, at the same time, crafting together pieces to be displayed in search of meaning. A necessary and exceptional book not only for anthropologists researching genocide and mass violence but also for a broader audience interested on how to approach and write about violence."—Corina Tulbure, Conflict and Society"Robben and Hinton set out to at once impart insights they acquired through decades of ethnographical research into genocide and mass violence, which they call phronesis following the ancient Greeks, and to do so in experimental and thought-provoking ways. Perpetrators is more of a guide than a 'how-to' manual, and yet it manages to provide the reader with practical and suggestive ideas for conducting ethnographic research and writing in a way that avoids the rigidity imposed by academia."—Stevan Bozanich, H-Genocide"In writing this book, Robben and Hinton provide a comprehensive and original contribution to the scholarly research on perpetrators of mass violence.... This is a must-read book. Highly recommended."—A. Kolin, CHOICETable of ContentsIntroduction: Approaching Perpetrator Research 1. Spectacular Perpetrators 2. Seductive Perpetrators Interlude: The Perpetrator and the Witness Interlude: "They Were No More. None of Them. They Had Become Disappeared." 3. The Night Stalkers 4. Ruin Interlude: For the Sake of the Fatherland Interlude: Interrogation: Comrade Duch's Abecedarian 5. Nearing the Paradox 6. Curation Conclusion: Six Guideposts for Perpetrator Research

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Book SynopsisTable of ContentsIntroduction 1 About This Book 1 Foolish Assumptions 2 Icons Used in This Book 3 Beyond the Book 3 Where to Go from Here 4 Unit 1: Getting Started with Statistics 5 Chapter 1: The Statistics of Everyday Life 7 Statistics and the Media: More Questions than Answers? 8 Probing popcorn problems 8 Venturing into viruses 8 Comprehending crashes 9 Mulling malpractice 9 Belaboring the loss of land 10 Scrutinizing schools 10 Scanning sports 10 Banking on business news 11 Touring the travel news 12 Surveying sexual stats 12 Breaking down weather reports 13 Using Statistics at Work 13 Delivering babies — and information 13 Posing for pictures 14 Poking through pizza data 14 Statistics in the office 14 Chapter 2: Taking Control: So Many Numbers, So Little Time 15 Detecting Errors, Exaggerations, and Just Plain Lies 16 Checking the math 16 Uncovering misleading statistics 17 Looking for lies in all the right places 22 Feeling the Impact of Misleading Statistics 23 Chapter 3: Tools of the Trade 25 Thriving in a Statistical World 25 Statistics: More than Just Numbers 26 Designing Appropriate Studies 28 Surveys (Polls) 28 Experiments 29 Collecting Quality Data 30 Sample, random, or otherwise 30 Bias 32 Grabbing Some Basic Statistical Jargon 33 Data 33 Data set 34 Variable 34 Population 34 Statistic 35 Parameter 35 Mean (Average) 36 Median 36 Standard deviation 36 Percentile 37 Standard score 37 Distribution and normal distribution 38 Central Limit Theorem 38 z-values 39 Margin of error 39 Confidence interval 40 Hypothesis testing 41 p-values 42 Statistical significance 42 Correlation, regression, and two-way tables 43 Drawing Credible Conclusions 44 Reeling in overstated results 44 Questioning claims of cause and effect 44 Becoming a Sleuth, Not a Skeptic 45 Unit 2: Number-Crunching Basics 47 Chapter 4: Crunching Categorical Data 49 Summing Up Data with Descriptive Statistics 49 Crunching Categorical Data: Tables and Percents 50 Counting on the frequency 50 Relating with percentages 52 Two-way tables: Summarizing multiple measures 54 Interpreting counts and percents with caution 55 Practice Questions Answers and Explanations 57 Whaddya Know? Chapter 4 Quiz 60 Answers to Chapter 4 Quiz 62 Chapter 5: Means, Medians, and More 65 Measuring the Center with Mean and Median 65 Averaging out to the mean 66 Splitting your data down the median 68 Comparing means and medians: Histograms 70 Accounting for Variation 74 Reporting the standard deviation 75 Being out of range 78 Examining the Empirical Rule (68-95-99.7) 79 Measuring Relative Standing with Percentiles 83 Calculating percentiles 83 Interpreting percentiles 85 Gathering a five-number summary 88 Exploring interquartile range 89 Practice Questions Answers and Explanations 90 Whaddya Know? Chapter 5 Quiz 97 Answers to Chapter 5 Quiz 98 Chapter 6: Getting the Picture: Graphing Categorical Data 99 Take Another Little Piece of My Pie Chart 100 Tallying personal expenses 100 Bringing in a lotto revenue 101 Ordering takeout 102 Projecting age trends 103 Raising the Bar on Bar Graphs 108 Tracking transportation expenses 108 Making a lotto profit 110 Tipping the scales on a bar graph 110 Pondering pet peeves 111 Practice Questions Answers and Explanations 117 Whaddya Know? Chapter 6 Quiz 123 Answers to Chapter 6 Quiz 124 Chapter 7: Going by the Numbers: Graphing Numerical Data 125 Handling Histograms 126 Making a histogram 126 Interpreting a histogram 130 Putting numbers with pictures 137 Detecting misleading histograms 139 Examining Boxplots 143 Making a boxplot 143 Interpreting a boxplot 146 Tackling Time Charts 152 Interpreting time charts 152 Understanding variability: Time charts versus histograms 153 Spotting misleading time charts 153 Practice Questions Answers and Explanations 159 Whaddya Know? Chapter 7 Quiz 165 Answers to Chapter 7 Quiz 166 Unit 3: Distributions and the Central Limit Theorem 167 Chapter 8: Coming to Terms with Probability 169 A Set Notation Overview 169 Noting outcomes: Sample spaces 170 Noting subsets of sample spaces: Events 171 Noting a void in the set: Empty sets 172 Putting sets together: Unions, intersections, and complements 172 Probabilities of Events Involving A and/or B 173 Probability notation 174 Marginal probabilities 175 Union probabilities 175 Intersection ( joint) probabilities 175 Complement probabilities 176 Conditional probabilities 176 Understanding and Applying the Rules of Probability 178 The complement rule (for opposites, not for flattering a date) 178 The multiplication rule (for intersections, not for rabbits) 179 The addition rule (for unions of the nonmarital nature) 180 Recognizing Independence in Multiple Events 182 Checking independence for two events with the definition 182 Using the multiplication rule for independent events 183 Including Mutually Exclusive Events 184 Recognizing mutually exclusive events 184 Simplifying the addition rule with mutually exclusive events 185 Distinguishing Independent from Mutually Exclusive Events 186 Comparing and contrasting independence and exclusivity 186 Checking for independence or exclusivity in a 52-card deck 187 Avoiding Probability Misconceptions 189 Predictions Using Probability 190 Practice Questions Answers and Explanations 192 Whaddya Know? Chapter 8 Quiz 196 Answers to Chapter 8 Quiz 197 Chapter 9: Random Variables and the Binomial Distribution 199 Defining a Random Variable 200 Discrete versus continuous 200 Probability distributions 202 The mean and variance of a discrete random variable 202 Identifying a Binomial 203 Checking binomial conditions step by step 204 No fixed number of trials 204 More than success or failure 205 Trials are not independent 205 Probability of success (p) changes 205 Finding Binomial Probabilities Using a Formula 207 Finding Probabilities Using the Binomial Table 210 Finding probabilities for specific values of X 210 Finding probabilities for X greater-than, less-than, or between two values 211 Checking Out the Mean and Standard Deviation of the Binomial 212 Practice Questions Answers and Explanations 214 Whaddya Know? Chapter 9 Quiz 216 Answers to Chapter 9 Quiz 217 Chapter 10: The Normal Distribution 219 Exploring the Basics of the Normal Distribution 219 Meeting the Standard Normal (Z-) Distribution 223 Checking out Z 223 Standardizing from X to Z 223 Finding probabilities for Z with the Z-table 225 Finding Probabilities for a Normal Distribution 227 Knowing Where You Stand with Percentiles 230 Finding X When You Know the Percent 232 Figuring out a percentile for a normal distribution 232 Translating tricky wording in percentile problems 234 Normal Approximation to the Binomial 236 Practice Questions Answers and Explanations 239 Whaddya Know? Chapter 10 Quiz 248 Answers to Chapter 10 Quiz 249 Chapter 11: The t-Distribution 251 Basics of the t-Distribution 251 Comparing the t- and Z-distributions 251 Discovering the effect of variability on t-distributions 252 Using the t-Table 253 Finding probabilities with the t-table 253 Figuring percentiles for the t-distribution 256 Picking out t*-values for confidence intervals 257 Studying Behavior Using the t-Table 258 Practice Questions Answers and Explanations 259 Whaddya Know? Chapter 11 Quiz 260 Answers to Chapter 11 Quiz 261 Chapter 12: Sampling Distributions and the Central Limit Theorem 263 Defining a Sampling Distribution 264 The Mean of a Sampling Distribution 265 Measuring Standard Error 266 Sample size and standard error 266 Population standard deviation and standard error 267 Looking at the Shape of a Sampling Distribution 269 Case 1: The distribution of X is normal 269 Case 2: The distribution of X is not normal — Enter the Central Limit Theorem 269 Finding Probabilities for the Sample Mean 273 The Sampling Distribution of the Sample Proportion 275 Finding Probabilities for the Sample Proportion 278 Practice Questions Answers and Explanations 280 Whaddya Know? Chapter 12 Quiz 283 Answers to Chapter 12 Quiz 284 Unit 4: Guesstimating and Hypothesizing with Confidence 285 Chapter 13: Leaving Room for a Margin of Error 287 Seeing the Importance of that Plus or Minus 287 Finding the Margin of Error: A General Formula 289 Measuring sample variability 289 Calculating margin of error for a sample proportion 291 Reporting results 293 Calculating margin of error for a sample mean 293 Being confident you’re right 294 Determining the Impact of Sample Size 296 Sample size and margin of error 296 Bigger isn’t always (that much) better! 297 Keeping margin of error in perspective 297 Practice Questions Answers and Explanations 300 Whaddya Know? Chapter 13 Quiz 303 Answers to Chapter 13 Quiz 304 Chapter 14: Confidence Intervals: Making Your Best Guesstimate 305 Not All Estimates Are Created Equal 306 Linking a Statistic to a Parameter 306 Getting with the Jargon 307 Interpreting Results with Confidence 308 Zooming In on Width 310 Choosing a Confidence Level 310 Factoring In the Sample Size 312 Counting On Population Variability 313 Calculating a Confidence Interval for a Population Mean 315 Case 1: Population standard deviation is known 315 Case 2: Population standard deviation is unknown and/or n is small 316 Figuring Out What Sample Size You Need 318 Determining the Confidence Interval for One Population Proportion 319 Creating a Confidence Interval for the Difference of Two Means 322 Case 1: Population standard deviations are known 322 Case 2: Population standard deviations are unknown and/or sample sizes are small 323 Estimating the Difference of Two Proportions 326 Spotting Misleading Confidence Intervals 329 Practice Questions Answers and Explanations 330 Whaddya Know? Chapter 14 Quiz 337 Answers to Chapter 14 Quiz 339 Chapter 15: Claims, Tests, and Conclusions 341 Setting Up the Hypotheses 342 Defining the null 342 What’s the alternative? 343 Gathering Good Evidence (Data) 343 Compiling the Evidence: The Test Statistic 344 Gathering sample statistics 344 Measuring variability using standard errors 344 Understanding standard scores 345 Calculating and interpreting the test statistic 345 Weighing the Evidence and Making Decisions: p-Values 346 Connecting test statistics and p-values 346 Defining a p-value 347 Calculating a p-value 347 Making Conclusions 349 Setting boundaries for rejecting H0 350 Testing varicose veins 350 Assessing the Chance of a Wrong Decision 352 Making a false alarm: Type I errors 353 Missing out on a detection: Type II errors 353 Practice Questions Answers and Explanations 356 Whaddya Know? Chapter 15 Quiz 359 Answers to Chapter 15 Quiz 360 Chapter 16: Commonly Used Hypothesis Tests: Formulas and Examples 361 Testing One Population Mean 362 Handling Small Samples and Unknown Standard Deviations: The t-Test 363 Putting the t-test to work 364 Relating t to Z 365 Handling negative t-values 365 Examining the not-equal-to alternative 365 Drawing conclusions using the critical value 366 Testing One Population Proportion 368 Comparing Two (Independent) Population Averages 371 Case 1: Difference of two population means when population standard deviations are known 371 Case 2: Difference of two population means when population standard deviations are unknown 374 Testing for an Average Difference (The Paired t-Test) 375 Comparing Two Population Proportions 378 Practice Questions Answers and Explanations 382 Whaddya Know? Chapter 16 Quiz 387 Answers to Chapter 16 Quiz 388 Unit 5: Statistical Studies and the Hunt for a Meaningful Relationship 389 Chapter 17: Polls, Polls, and More Polls 391 Recognizing the Impact of Polls 392 Getting to the source 392 Surveying what’s hot 393 Impacting lives 394 Behind the Scenes: The Ins and Outs of Surveys 395 Planning and designing a survey 396 Selecting the sample 399 Carrying out a survey 402 Interpreting results and finding problems 405 Practice Questions Answers and Explanations 408 Whaddya Know? Chapter 17 Quiz 411 Answers to Chapter 17 Quiz 412 Chapter 18: Experiments and Observational Studies: Medical Breakthroughs or Misleading Results? 413 Boiling Down the Basics of Studies 414 Looking at the lingo of studies 414 Observing observational studies 415 Examining experiments 415 Designing a Good Experiment 417 Designing the experiment to make comparisons 417 Selecting the sample size 419 Choosing the subjects 421 Making random assignments 421 Controlling for confounding variables 422 Respecting ethical issues 423 Collecting good data 424 Analyzing the data properly 425 Interpreting Experiment Results 428 Making appropriate conclusions 428 Making informed decisions 429 Practice Questions Answers and Explanations 431 Whaddya Know? Chapter 18 Quiz 433 Answers to Chapter 18 Quiz 434 Chapter 19: Looking for Links: Correlation and Regression 435 Picturing a Relationship with a Scatterplot 436 Making a scatterplot 436 Interpreting a scatterplot 437 Quantifying Linear Relationships Using the Correlation 440 Calculating the correlation 440 Interpreting the correlation 441 Examining properties of the correlation 443 Working with Linear Regression 445 Figuring out which variable is X and which is Y 445 Checking the conditions 446 Calculating the regression line 446 Interpreting the regression line 449 Putting it all together: The regression line for the crickets 451 Making Proper Predictions 453 Checking the conditions 453 Staying in-bounds 454 Regression Analysis: Understanding the Output 456 Residing with Residuals 457 Explaining the Relationship: Correlation versus Cause and Effect 458 Practice Questions Answers and Explanations 460 Whaddya Know? Chapter 19 Quiz 465 Answers to Chapter 19 Quiz 466 Chapter 20: Two-Way Tables and Independence 467 Organizing a Two-Way Table 468 Setting up the cells 469 Figuring the totals 469 Interpreting Two-Way Tables 472 Singling out variables with marginal distributions 472 Examining all groups — a joint distribution 476 Comparing groups with conditional distributions 478 Checking Independence and Describing Dependence 483 Checking for independence 484 Describing a dependent relationship 486 Cautiously Interpreting Results 489 Checking for legitimate cause and effect 489 Projecting from sample to population 490 Making prudent predictions 491 Resisting the urge to jump to conclusions 491 Practice Questions Answers and Explanations 492 Whaddya Know? Chapter 20 Quiz 498 Answers to Chapter 20 Quiz 500 Appendix: Tables for Reference 503 The Z-Table 503 The t-Table 506 The Binomial Table 508 Index 513

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Book SynopsisRecipient of a 2022 Most Promising New Textbook Award from the Textbook & Academic Authors Association (TAA) Introduction to Intersectional Qualitative Research, by Jennifer Esposito and Venus Evans-Winters, introduces students and new researchers to the basic aspects of qualitative research including research design, data collection, and analysis, in a way that allows intersectional concerns to be infused throughout the research process. Esposito and Evans-Winters infuse their combined forty years of experience conducting and teaching intersectional qualitative research in this landmark book, the first of its kind to address intersectionality and qualitative research jointly for audiences new to both. The book’s premise is that race and gender matter, and that racism and sexism are institutionalized in all aspects of life, including research. Each chapter opens with a vignette about a struggling researcher emphasizing that reflecting on your mistakes is an important part of learning. Discussion questions at the end of each chapter help instructors generate dialogue in class or in groups. Introduction to Intersectional Qualitative Research makes those identities and structures central to the task of qualitative study.Table of ContentsPreface Acknowledgments About the Authors Chapter 1 (R)evolution of Qualitative Inquiry Introduction to Intersectionality Evolution of Qualitative Research Centering Intersectionality in Qualitative Inquiry Decolonizing Methodologies Intersectionality and Identity Politics Intersectionality in Qualitative Research Intersectional Research How to Read This Book Discussion Questions Chapter 2 Theoretical Underpinnings of Qualitative Research Ontology Epistemology Theory Methodology Critical Qualitative Research Conclusion Discussion Questions Recommended Readings Chapter 3 The Ethics of Intersectionality Human Experimentation Nuremberg Code and Belmont Report Institutional Review Boards Conclusion Discussion Questions Chapter 4 Methodology Ethnography A Note About Methodological Choices Research Design Putting It All Together Summary Discussion Questions Chapter 5 Data Collection Methods Framing the Dialogue on Data Collection Interviews Focus Groups Observations Document Analysis Other Data Collection Methods Summary Discussion Questions Chapter 6 Data Analysis, Part 1 Data Management Starting Data Analysis Coding Moving from Codes to Themes Computer-Assisted Qualitative Data Analysis Software (CAQDAS) Conclusion Discussion Questions Chapter 7 Data Analysis, Part 2 Theorizing Data Memoing Methods of Analysis Subjectivity Statements Getting It Right Conclusion Discussion Questions Chapter 8 Authorial Voice: Intersectional Conversations Writing Rituals Voice in Qualitative Inquiry The Literature Review and Voice The Research Proposal Introduction to the Study The Literature Review Writing Up Your Findings Summary Discussion Questions Chapter 9 The Reimagining and Possibilities of Qualitative Inquiry References

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Book SynopsisDesigning a study and writing up a research proposal takes time---often more time than actually conducting the study! This practical guide will save you time and frustration by walking you through every step of the process. For starters, it will help you hone in on a research topic---a huge (and hugely important) first step. Then it will guide you in developing the research question, designing the study, and choosing the best strategies for sampling and measurement. The figures, tables, and exhibits offer a wealth of examples and tools, including activities and worksheets to practice alone or in a study group. While many research design books focus on either qualitative or quantitative studies, this book presents a balanced discussion of the relative strengths and limitations of each, as well as differences in how validity is handled for each. No research study can be perfect or provide all the answers. In fact, the best studies result in more questions than answers. Trade Review“The chapters are organized around the choices students need to make, rather than the types of research and issues specific to each type—an important distinguishing feature that sets this book apart from other research methods text…. In the current environment of increasing interdisciplinarity, this text is very useful to students who find themselves coming to social science research from other disciplines, or to students in need of clear guidelines who do not have the time to complete another entire research methods course.” —ChoiceThe chapters are organized around the choices students need to make, rather than the types of research and issues specific to each type — an important distinguishing feature that sets this book apart from other research methods text…. In the current environment of increasing interdisciplinarity, this text is very useful to students who find themselves coming to social science research from other disciplines, or to students in need of clear guidelines who do not have the time to complete another entire research methods course. * Choice *Table of ContentsSeries Foreword Chapter 1: Introduction Chapter 2: Choosing Your Research Question and Hypotheses Chapter 3: Choosing Your Study’s Purpose Chapter 4: Choosing Whether to Use a Qualitative, Quantitative, or Mixed-Methods Approach Chapter 5: Understanding Terms for Quantitative Studies: Concepts, Constructs, and Variables Chapter 6: Choosing Your Design Chapter 7: Choosing Your Sample Chapter 8: Planning Your Measurement Strategy for Collecting Data Chapter 9: Establishing Validity for Quantitative Studies Chapter 10: Establishing Validity for Qualitative Studies Chapter 11: Conclusion Index About the Authors About the Series Editor

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Book SynopsisTrade Review"Winner of the Harrison White Book Award, Mathematical Sociology Section of the American Sociological Association"

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