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Book SynopsisThe Handbook is written for academics, researchers, practitioners and advanced graduate students. It has been designed to be read by those new or starting out in the field of spatial analysis as well as by those who are already familiar with the field. The chapters have been written in such a way that readers who are new to the field will gain important overview and insight. At the same time, those readers who are already practitioners in the field will gain through the advanced and/or updated tools and new materials and state-of-the-art developments included. This volume provides an accounting of the diversity of current and emergent approaches, not available elsewhere despite the many excellent journals and te- books that exist. Most of the chapters are original, some few are reprints from the Journal of Geographical Systems, Geographical Analysis, The Review of Regional Studies and Letters of Spatial and Resource Sciences. We let our contributors - velop, from their particular perspective and insights, their own strategies for m- ping the part of terrain for which they were responsible. As the chapters were submitted, we became the first consumers of the project we had initiated. We gained from depth, breadth and distinctiveness of our contributors’ insights and, in particular, the presence of links between them.Trade ReviewFrom the reviews:“The Handbook of Applied Spatial Analysis provides an important summary of, and gateway into, the rapidly developing field of spatial analysis. It aims to provide both a useful guide for researchers at all levels in spatial analytic fields and a basis for more in-depth research. … certainly fulfils the expectations set out in its blurb. It provides a thorough … insight into contemporary spatial analysis that many with an interest in this field will find useful.” (James Cheshire, Environment and Planning B: Planning and Design, Vol. 37, 2010)“It provides a comprehensive introduction to a variety of problems and methods that may be beneficial to students and researchers who intend to learn and apply spatial analysis techniques in their studies and/or research. More importantly, the book provides valuable breadth and depth in its treatment of many topics. … suitable for readers without substantial prior knowledge of spatial analysis. A book with such a combination of topics and qualities is a pleasant and valuable addition to the rich literature in this area.” (Changshan Wu, Journal of Regional Science, Vol. 52 (2), 2012)“The editors have done an excellent job to bring together conceptual knowledge and application pursuits while empowering readers with the information they need to find these resources and try some of the included techniques using the examples to guide them. The book will be attractive to higher level students and professionals … . There are not many books as up-to-date with such a wide coverage of spatial analysis tools and techniques along with supporting resource information.” (Jeff Thurston, Sensors & Systems, July, 2010)Table of ContentsGI Software Tools.- Spatial Statistics in ArcGIS.- Spatial Statistics in SAS.- Spatial Econometric Functions in R.- GeoDa: An Introduction to Spatial Data Analysis.- STARS: Space-Time Analysis of Regional Systems.- Space-Time Intelligence System Software for the Analysis of Complex Systems.- Geostatistical Software.- GeoSurveillance: GIS-based Exploratory Spatial Analysis Tools for Monitoring Spatial Patterns and Clusters.- Web-based Analytical Tools for the Exploration of Spatial Data.- PySAL: A Python Library of Spatial Analytical Methods.- Spatial Statistics and Geostatistics.- The Nature of Georeferenced Data.- Exploratory Spatial Data Analysis.- Spatial Autocorrelation.- Spatial Clustering.- Spatial Filtering.- The Variogram and Kriging.- Spatial Econometrics.- Spatial Econometric Models.- Spatial Panel Data Models.- Spatial Econometric Methods for Modeling Origin-Destination Flows.- Spatial Econometric Model Averaging.- Geographically Weighted Regression.- Expansion Method, Dependency, and Multimodeling.- Multilevel Modeling.- The Analysis of Remotely Sensed Data.- ARTMAP Neural Network Multisensor Fusion Model for Multiscale Land Cover Characterization.- Model Selection in Markov Random Fields for High Spatial Resolution Hyperspectral Data.- Geographic Object-based Image Change Analysis.- Applications in Economic Sciences.- The Impact of Human Capital on Regional Labor Productivity in Europe.- Income Distribution Dynamics and Cross-Region Convergence in Europe.- A Multi-Equation Spatial Econometric Model, with Application to EU Manufacturing Productivity Growth.- Applications in Environmental Sciences.- A Fuzzy -Means Classification and a Bayesian Approach for Spatial Prediction of Landslide Hazard.- Incorporating Spatial Autocorrelation in Species Distribution Models.- A Web-based Environmental Decision Support System for Environmental Planning and Watershed Management.- Applications in Health Sciences.- Spatio-Temporal Patterns of Viral Meningitis in Michigan, 1993 - 2001.- Space-Time Visualization and Analysis in the Cancer Atlas Viewer.- Exposure Assessment in Environmental Epidemiology.

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Book SynopsisThis book addresses sample size and power in the context of research, offering valuable insights for graduate and doctoral students as well as researchers in any discipline where data is generated to investigate research questions. It explains how to enhance the authenticity of research by estimating the sample size and reporting the power of the tests used. Further, it discusses the issue of sample size determination in survey studies as well as in hypothesis testing experiments so that readers can grasp the concept of statistical errors, minimum detectable difference, effect size, one-tail and two-tail tests and the power of the test. The book also highlights the importance of fixing these boundary conditions in enhancing the authenticity of research findings and improving the chances of research papers being accepted by respected journals. Further, it explores the significance of sample size by showing the power achieved in selected doctoral studies. Procedure has been discussed to fix power in the hypothesis testing experiment. One should usually have power at least 0.8 in the study because having power less than this will have the issue of practical significance of findings. If the power in any study is less than 0.5 then it would be better to test the hypothesis by tossing a coin instead of organizing the experiment. It also discusses determining sample size and power using the freeware G*Power software, based on twenty-one examples using different analyses, like t-test, parametric and non-parametric correlations, multivariate regression, logistic regression, independent and repeated measures ANOVA, mixed design, MANOVA and chi-square.Table of ContentsPreface Acknowledgements 1 Introduction to Sample Size Determination Introduction Issue of Power due to inappropriate sample size Some case studies Flow Diagram of Determining sample size and power Summary 2 Understanding Statistical Inference Introduction Estimating Parameters Estimating Population Mean Confidence Coefficient Confidence Interval Factors Affecting Confidence Interval Estimating Population Proportion Hypothesis Testing Type I and Type II Errors Power of the Test Relationship between Type I and Type II Errors One Tailed and Two Tailed Tests Procedure in Hypothesis Testing Experiment Effect Size Summary 3 Understanding Concepts in Estimating Sample Size in Survey Studies Introduction Determining Sample Size in Estimating Population Mean Factors Affecting Sample Size Sample Size Determination for Estimating Mean when Population SD Known: Illustration 3.1 Sample Size Determination for Estimating Mean when Population SD Unknown: Illustration 3.2 Sample Size Determination for Estimating Mean when Population SD Unknown: Illustration 3.3 Sample Size Determination for Estimating Mean when Population SD Unknown: Illustration 3.4 Determining Sample Size in Estimating Population Proportion Sample Size Determination for Estimating Proportion: Illustration 3.5 Sample Size Determination for Estimating Proportion: Illustration 3.6 Sample Size Determination for Estimating Proportion: Illustration 3.7 Sample Size Determination for Estimating Proportion: Illustration 3.8 Determining Sample Size in Estimating Difference Between Two Population Means Summary 4 Understanding Concepts in Estimating Sample Size in Hypothesis Testing Experiment Introduction Sample Size on the Basis of Power One Sample Testing of Mean Determining Sample Size Estimation of Minimum Sample Size to Test H0 : µ=37 : Illustration 4.1 Minimum Detectable Difference Estimation of Minimum Detectable Difference for Testing H0: µ=37: Illustration 4.2 Estimation of Power in One Sample t Test Estimation of Power in Testing H0: µ=37: Illustration 4.3 Testing Difference Between Two Means Determining Sample Size in Two Sample t Test Estimation of Sample Size for Two Sample t Test for Mean : Illustration 4.4 Estimation of Power in Two Sample t Test Estimation of Power in Two Sample t Test for Mean : Illustration 4.5 Summary 5 Use of G*Power Software Introduction Procedure of Installing G*Power 3.1 Summary 6 Determining Sample Size in Experimental Studies Introduction One Sample Testing Testing Difference of Sample Mean from Population Mean Sample Size and Power Determination: Illustration 6.1 Testing Difference of Sample Proportion from Population Proportion Sample Size Determination: Illustration 6.2 Two Sample Testing Comparing Group Means in Two Independent Samples Sample Size and Power Determination: Illustration 6.3 Comparing Paired Group Means Sample Size Determination: Illustration 6.4 Comparing two Group Means Using Mann Whitney Test Sample Size Determination: Illustration 6.5 Comparing Paired Group Means Using Wilcoxon Signed Rank Test Sample Size Determination: Illustration 6.6 Comparing Two Proportions Sample Size Determination: Illustration 6.7 Correlation Coefficient: Testing Significance Case I: Testing Whether Sample Correlation Differs From 0 Sample Size Determination: Illustration 6.14 Case II: Testing Whether Sample Correlation Differs from a Known Value Sample Size Determination: Illustration 6.15 Correlation Coefficients: Testing Significant Difference Between Two Independent Correlations Sample Size Determination: Illustration 6.16 Bi-Serial Correlation: Testing Significance Sample Size Determination: Illustration 6.17 Goodness of Fit: Testing With Chi-Square Sample Size Determination in Goodness of Fit: Illustration 6.18 Linear Multiple Regression Model Sample Size Determination in Linear Multiple Regression: Illustration 6.19 Logistic Regression Sample Size Determination for Continuous Predictors: Illustration 6.20 Sample Size Determination for a Dichotomous Predictor: Illustration 6.21 Summary 7 Determining Sample Size in General Linear Models Introduction Analysis of Variance One–Way Analysis of Variance Sample Size Determination: Illustration 6.8 Two–Way Analysis of Variance Sample Size Determination for Main and Interaction Effect: Illustration 6.9 Repeated Measures ANOVA Between Factors Sample Size Determination: Illustration 6.10 Repeated Measures ANOVA Within Factors Sample Size Determination: Illustration 6.11 Repeated ANOVA Within-Between Interaction Manova Experiment: for Testing the Significance of Global Effect Sample Size Determination: Illustration 6.12 Manova Experiment: Testing Significance of Interaction Effect Sample Size Determination: Illustration 6.13 Summary Appendix Bibliography

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Book SynopsisContemporary Vulnerabilities offers critical reflections about vulnerable moments in research committed to social change. This interdisciplinary collection gathers reflexive narratives and analyses about innovative methodologies that engage with unconventional and unexpected research spaces inhabited and shared by scholars. The authors encourage us to collaborate within, reflect on, and confront the frictions of inquiry around social change. With an aim of contesting the dominance of Eurocentric epistemologies, the collection includes modes of storytelling and examples of knowledge gathering that are often excluded from academic texts in general and methodological texts in particular. All those interested in research methodologies and social justice inquiry will find provocation and recognition in this volume, including scholars, ethics boards, and students.Contributors: Aly Bailey, Kayla Besse, Meredith Bessey, Madeline Burghardt, Claire Carter, Shraddha Chatterjee, Yuriko Cowper-Smith, Eva Cupchik, Cheyanne Desnomie, Bongi Dube, Athanasia Francis, Rebecca Godderis, Moses Gordon, Emily Grafton, Caitlin Janzen, Evadne Kelly, Debra Langan, Rebecca Lennox, Corinne L. Mason, Tara-Leigh McHugh, Preeti Nayak, Anh Ngo, Jess Notwell, Marcia Oliver, Cassandra J. Opikokew Wajuntah, Merrick Pilling, Kendra-Ann Pitt, Salima Punjani, seeley quest, Carla Rice, Jen Rinaldi, Lori Ross, Kate Rossiter, Brenda Rossow-Kimball, Siobhán Saravanamuttu, Melissa Schnarr, Bettina Schneider, Irene Shankar, Skylar Sookpaiboon, Chelsea Temple Jones, Amelia Thorpe, Paul Tshuma, Amber-Lee Varadi, Jijian Voronka, Kristyn White.

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Book SynopsisHow do we make sense of Aotearoa New Zealand's diverse and changing society? This book introduces readers to the range of theories, approaches and techniques that we will need to understand this country in the twenty-first century. Part one, `the big picture', looks at how different cultures gather knowledge, introducing readers to science, social science, Maori approaches, cross-cultural and feminist research, and ethics. Part two, `the basics of social science research', explains how to do a literature review, design a research project, collect and analyse quantitative and qualitative data, and write up the results. In part three, `techniques of social research', a number of prominent New Zealand social scientists show how research really gets done by explaining the use of key techniques in their own research projects, from official statistics and longitudinal research to focus groups and ethnography. This is a book for New Zealand students and practitioners written by New Zealand social scientists, highlighting what is different about doing research in this country in the twenty-first century. The book is as much about qualitative approaches as quantitative ones and introduces readers to the practice of research through real cases, rather than just theory. The editors are fierce methodological pluralists, and they introduce the wide range of tools and approaches available to the modern researcher. For anyone coming to the many paths of social research for the first time, Social Science Research in New Zealand is the perfect introduction.

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Book SynopsisRecently, social science has had numerous episodes of influential research that was found invalid when placed under rigorous scrutiny. The growing sense that many published results are potentially erroneous has made those conducting social science research more determined to ensure the underlying research is sound.Transparent and Reproducible Social Science Research is the first book to summarize and synthesize new approaches to combat false positives and non-reproducible findings in social science research, document the underlying problems in research practices, and teach a new generation of students and scholars how to overcome them. Understanding that social science research has real consequences for individuals when used by professionals in public policy, health, law enforcement, and other fields, the book crystallizes new insights, practices, and methods that help ensure greater research transparency, openness, and reproducibility. Readers are guided through well-known problems anTrade Review"Reminds us to, occasionally, take a moment for self-reflection to question what we are doing as individual researchers or as a scientific community and whether we should overcome certain habits to get better at our job of explaining the world around us." * Politics and the Life Sciences *Table of ContentsList of Figures List of Tables Acknowledgments PART ONE. INTRODUCTION AND MOTIVATION 1 Introduction 2 What Is Ethical Research? PART TWO. PROBLEMS 3 Publication Bias 4 Specification Searching PART THREE. SOLUTIONS 5 Using All Evidence: Registration and Meta-analysis 6 Pre-analysis Plans 7 Sensitivity Analysis and Other Approaches PART FOUR. PRACTICES 8 Reporting Standards 9 Replication 10 Data Sharing 11 Reproducible Workflow 12 Conclusion Appendix Bibliography Index

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Book SynopsisA free ebook version of this title is available through Luminos, University of California Press's Open Access publishing program. Visit www.luminosoa.org to learn more. This book explores analytic induction, an approach to the analysis of cross-case evidence on qualitative outcomes that has deep roots in sociology. A popular research technique in the early decades of empirical sociology, analytic induction differs fundamentally as a method of social research from conventional variation-based approaches. In Analytic Induction for Social Research, Charles C. Ragin demonstrates that much is gained from systematizing analytic induction. The approach he introduces here offers a new template for conducting cross-case analysis and provides a new set of tools for answering common research questions that existing methods cannot address.Table of ContentsContents Acknowledgments Introduction PART ONE. THE LOGIC OF ANALYTIC INDUCTION 1. Classic Analytic Induction 2. Reconciling Disconfirming Cases 3. Explaining Variation versus Explaining Outcomes 4. The Uses of “Negative” Cases in Social Research PART TWO. GENERALIZED ANALYTIC INDUCTION 5. Classic versus Generalized Analytic Induction 6. The Interpretive Logic of Generalized Analytic Induction 7. Generalized Analytic Induction: A Step-by-Step Guide 8. Using Generalized AI to Reanalyze Viterna’s Study of Women’s Mobilization into the Salvadoran Guerrilla Army 9. Applying Generalized AI to Conventional Quantitative Data 10. Core Features of Generalized Analytic Induction Appendix A. Brief Overview of Qualitative Comparative Analysis Appendix B. Fuzzy Sets Appendix C. Using fsQCA Software to Implement Generalized AI Appendix D. Converting “Sum-of-Products” Expressions to “Product-of-Sums” Expressions Appendix E. Measures Used in Logistic Regression Analysis Notes References 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.Table 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 SynopsisIn Anthropology in the Meantime Michael M. J. Fischer draws on his real world, multi-causal, multi-scale, and multi-locale research to rebuild theory for the twenty-first century. Providing a history and inventory of experimental methods and frameworks in anthropology from the 1920s to the present, Fischer presents anthropology in the meantime as a methodological injunction to do ethnography that examines how the pieces of the world interact, fit together or clash, generate complex unforeseen consequences, reinforce cultural references, and cause social ruptures. Anthropology in the meantime requires patience, constant experimentation, collaboration, the sounding-out of affects and nonverbal communication, and the conducting of ethnographically situated research over longitudinal time. Perhaps above all, anthropology in the meantime is no longer anthropology of and about peoples; it is written with and for the people who are its subjects. Anthropology in the MeantTrade Review"Anthropology in the Meantime is a rich collection of essays in tune with the central debates in contemporary cultural anthropology. . . . It serves as a survey of the present state of the field, identifying the tensions and re-inscribing them in the long tradition of anthropological scholarship. . . . Recommended. Advanced undergraduates and above." -- A. Ponce de Leon * Choice *" [This book] maintains a productive line that brings one back to the spirit, above all, of ethnographic exploration as idea and method mining. ... I believe it arrives at a perfect moment. [Fischer] contributes to various contemporary discussions within anthropology on religion, film, politics, postcolonialism, and gender/sexuality." -- Joseph Russo * Anthropological Quarterly *“This wonderful and well-researched collection of essays on third ethnographic spaces offers a pragmatic vision for anthropology in the Kantian spirit of the formation of a world society. A must read indeed in times of rapid change.” -- Michelangelo Paganopoulos * Journal of the Royal Anthropological Institute *Table of ContentsPrologue: Changing Modes of Ethnographic Authority 1 Part I. Ethnography in the Meantime 1. Experimental Ethnography in Ink, Light, Sound, and Performance 39 2. Ontology and Metaphysics Are False Leads 49 3. Pure Logic and Typologizing Are False Leads 79 Part II. Ground-Truthing 4. Violence and Deep Play 99 5. Amazonian Ethnography and the Politics of Renewal 114 6. Ethnic Violence, Galactic Polities, and the Great Transformation 130 Part III. Tone and Tuning 7. Health Care in India 161 8. Hospitality 186 9. Anthropology and Philosophy 198 Part IV. Temporalities and Recursivities 10. Changing Media of Ethnographic Writing 233 11. Recalling Writing Culture 258 12. Anthropological Modes of Concern 276 Epilogue: Third Spaces and Ethnography in the Anthropocene 298 Acknowledgments 345 Notes 349 Bibliography 391 Index 429

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Book SynopsisThinking with Theory in Qualitative Research: Second Edition demonstrates how to enact various philosophical concepts in practices of inquiry, effectively opening up the process of thought in qualitative studies.Thinking with Theory in Qualitative Research functions as a refusal of pregiven method, intensifying creativity, experimentation, and newness. Readers are invited into the threshold of theory to traverse philosophers and their concepts, reorienting conventional approaches to inquiry. Each chapter presents a thinking with process as a way of reading intensively through plugging in performative accounts of two first-generation academic women to philosophical concepts from Derrida, Spivak, Foucault, Butler, Barad, and Deleuze and Guattari. This book is a deliberate attempt to unsettle what is expected to be represented or recognized in terms of both meaning and method in traditional practices of qualitative research, which become unproductive and untTable of Contents1. Plugging One Text into Another, Interlude I: Why Derrida?, 2. Derrida: Thinking with Deconstruction, Interlude II: Why Spivak?, 3. Spivak: Thinking with Marginality, Interlude III: Why Foucault?, 4. Foucault: Thinking with Power/Knowledge, Interlude IV: Why Butler?, 5. Butler: Thinking with Performativity, Interlude V: Why Barad?, 6. Barad: Thinking with Intra-action, Interlude VI: Why Deleuze & Guattari?, 7. Deleuze and Guattari: Thinking with Desire, 8. Ontological writing: Unleashing Becomings and Worldings

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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 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 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 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 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 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 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 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 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 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 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 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 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□ 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□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 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 SynopsisThis text provides a critique of the subjective Bayesian view of statistical inference, and proposes the author's own error-statistical approach as an alternative framework for the epistemology of experiment. It seeks to address the needs of researchers who work with statistical analysis.

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Book SynopsisToday''s societies require research approaches that are creative, sensitive to cultural and contextual diversity, rooted in engagement and critical dispositions, and situated within local contexts. Action research and evaluation are inquiries into and about human lives. Both modes generate actionable data in specific contexts to facilitate positive social change and to further social justice. This book explores the potential of integrating action research and evaluation frameworks to encourage knowledge democracy, data literacy, and ethical practices. The authors draw a clear connection between program enactment and program goals, investigating the processes of design, qualitative and quantitative data collection, and analysis, and mixed methods considerations. Key questions include: why is new research paradigm needed? How do we define data literacy? How do we understand equitable societies? Working from the belief that knowledge is created constantly in our world by those in real-world settings and practical contexts, Evaluation and Action Research provides practitioners with an accessible guide to better inform practice and decision making.Table of ContentsPreface Chapter 1. Evaluation/Action Research Integrated Framework: Participative and Collaborative Chapter 2. Determining a Purpose and a Focus Chapter 3. Getting Down to the Design: Determining Our Examination Main Questions and Appropriate Designs Chapter 4. Qualitative Data Collection/Quantitative Data Collection; Mixed-Methods Considerations Chapter 5. Ethical Challenges in Action Research and Evaluation: Reflecting on Tensions Interlude: Preface to Data Analysis and Informing Data Literacy Chapter 6. Qualitative Data Analysis Chapter 7. Quantitative Data Analysis Chapter 8. Mixed-Methods: Integrating Data Analyses to Gain Comprehensive Understanding of Problems, Contexts, and Stakeholder Needs Chapter 9. Revisiting Our Integrated Model: Focus on Facilitating Social Justice and Equitable Societies Glossary References

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Book SynopsisExamineseducation and social change in Scotlandthrough analysis of a unique series of historical social surveys.

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Book SynopsisInsights from four decades of survey research in the Middle EastTrade ReviewPublic Opinion in the Middle East . . . is a well-written compilation of public opinion research that reflects the past 30 to 40 years of political, social, and economic progression in the Middle East. More broadly, this text will be applicable to survey researchers whose populations of interest are hard to reach, reside in political situations that make research difficult, or are diverse in terms of religion, socioeconomic status, and ethnicity. * PUBLIC OPINION QUARTERLY *[T]his book is a standard reference for students interested in Middle East politics, since it displays the frontline of the study of political culture in the Islamic world. Because of recent political developments in the Arab world, this book is expected to be used as a reference for future studies. * The Developing Economies *This volume is a valuable scholarly entry. . . . [T]he essays in this anthology touch upon core thematic issues profoundly relevant to the study of Middle East politics. It is a worthy contribution. * Intl. Journal of Middle East Studies *Table of ContentsAcknowledgmentsIntroduction: Public Opinion Research in the Arab and Muslim Middle EastPart One Domestic Politics1. Regime Orientation and Participant Citizenship in Developing Countries: Hypotheses and a Test with Longitudinal Data from Tunisia (1981) Mark Tessler and Patricia Freeman2. The Origins of Popular Support for Islamist Movements: A Political Economy Analysis (1997) Mark Tessler3. Islam and Democracy in the Middle East: The Impact of Religious Orientations on Attitudes toward Democracy in Four Arab Countries (2002) Mark Tessler 4. Political Generations in Developing Countries: Evidence and Insights from Algeria (2004) Mark Tessler, Carrie Konold and Megan Reif5. The Democracy Barometers: Attitudes in the Arab World (2008) Amaney Jamal and Mark Tessler Part Two Political Culture And Islam6. Political Culture in Turkey: Connections among Attitudes toward Democracy, the Military, and Islam (2004) Mark Tessler and Ebru Altinoglu7. Assessing the Influence of Religious Predispositions on Citizen Orientations Related to Governance and Democracy: Findings from Survey Research in Three Dissimilar Arab Societies (2006) Mark Tessler8. Democracy and the Political Culture Orientations of Ordinary Citizens: A Typology for the Arab World and Perhaps Beyond (2009) Mark Tessler and Eleanor GaoPart Three International Conflict9. Gender, Feminism, and Attitudes toward International Conflict: Exploring Relationships with Survey Data from the Middle East (1997) Mark Tessler and Ina Warriner10. Islam and Attitudes toward International Conflict: Evidence from Survey Research in the Arab World (1998) Mark Tessler and Jodi Nachtwey11. Further Tests of the Women and Peace Hypothesis: Evidence from Cross-National Survey Research in the Middle East (1999) Mark Tessler, Jodi Nachtwey and Audra Grant12. The Political Economy of Attitudes toward Peace among Palestinians and Israelis (2002) Jodi Nachtwey and Mark Tessler13. What Leads Some Ordinary Men and Women in Arab Countries to Approve of Terrorist Acts against the West: Evidence from Survey Research in Algeria and Jordan (2007) Mark Tessler and Michael D. H. RobbinsBibliographyIndex

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Book SynopsisPraise for the first edition of Research into Practice and Research Methods for Nurses and the Caring Professions:These books provide a good introduction for the uninitiated to reading and doing research. Abbott and Sapsford provide a clearly written and accessible introduction to social research ... One of their aims is to 'de-mystify' research, and in this they succeed admirably... After reading the text and the articles in the reader, and working through the various research exercises, readers should have a clear appreciation of how to evaluate other people's research and how to begin their own.-David Field, Journal of Palliative MedicineThis book, now substantially revised in its second edition, is about the appreciation, evaluation and conduct of social research. Aimed at nurses, social workers, community workers and others in the caring professions, the book is particularly focused on research which evaluates and contributes to professional practice. The autTrade Review"This is an excellent introduction to the evaluation and conduct of research. It will continue to be required reading for students of health professional courses and for other practitioners new to research." - Journal of Nursing ManagementTable of ContentsPrefaceSection oneIntroductionFinding out and making senseSection twoAssessing researchReading research reportsReading open interview researchReading observation researchReading about controlled trialsReading survey researchReading secondary-source researchSection threeDoing researchUsing secondary sourcesSurvey researchdesign and samplingExperimental practiceOpen interviewingAnalysing textParticipant observationSection fourWriting upIn conclusionresearch into practiceGlossaryIndex.

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Book Synopsis"...an extremely welcome addition to the field of feminist research."British Journal of Educational StudiesThis is a clear and accessible exploration of feminist method, methodology and epistemology. After situating herself and her work, Gayle Letherby charts the debates concerned with the epistemological, political and practical issues involved in doing feminist research, and places the debates within a wider consideration of the status of knowledge. The main focus of the book is then the particular and practical issues for feminist researchers. It examines how the process of research affects the results of that research and explores the relation between politics and practice in terms of research and knowledge production. Throughout the book there is a practical emphasis on specific examples of feminist research in action and, as well as summarizing current theoretical debates, Gayle Letherby adds to them. Feminist Research in Theory and Practice is desiTable of ContentsAcknowledgements IntroductionEducating Rita revisited: knowledge and language in the 'male' academyUnited we stand? The feminist reconstruction of knowledgeDoing it for ourselves: feminist research as feminist theory in actionQuoting and counting: the qualitative/quantitative divideWhose life is it anyway? Issues of power, empowerment, ethics and responsibilityTexts of many lives: the implications for feminist researchClose encounters: presentations and audiencesReflectionsReferencesIndex.

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Book Synopsis* What is historical research in education?* How can researchers get started in this area?* Why does this field offer a common project for historians, educationists, and researchers across the social sciences?This book explores how to set about historical research in education. The first general guide of its kind for fifty years, the book locates this field in relation to changes in educational research, historical research, and a wide range of social sciences. It offers a theoretical guide to the rationales and problems of the field as well as to current opportunities for research. It also gives practical advice for getting started and for suitable research methods in different kinds of projects, and in doing so draws critically on extensive international literature. It includes detailed case studies on the following topics in historical research: Curriculum and Classrooms, Foucauldian Interpretations, the 'Alternative Road', Literacy in the Nineteenth Century,Trade Review"I Shall put this valuable study into the hands of any of my students writing on historical topics in education, since it is an intelligent, scholarly and eminently sensible introduction to the kind of methodological issues it is actually helpful to address - David PhillipsTable of ContentsAcknowledgementsGlossary of termsGetting startedWhat the textbooks say and what they don'tHistory or education?The challenge of the social sciencesUsing published sourcesMethodological issuesDesigning and carrying out a research projectReferencesIndex.

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Book SynopsisThis book argues for independent, critical research on education policy in the context of attacks on the quality and usefulness of educational research in general. It takes issue with the argument, promoted bygovernment departments and agencies that education policy research should be limited to work that assists policy-makers. Against this position, the book advocates independent, critical research that scrutinizes policy in relation to its consequences for equality and social justice. It argues that practitioners and academic researchers should form a research community that develops its own knowledge base from which so-called evidence based policymaking in education may be assessed and challenged. The book offers guidance on the theoretical and methodological resources available to practitioners and others with an interest in doing research on policy and discusses some of the main issues and problems in doing policy research on education. It offers examples of research oTable of ContentsResearching education policysome argumentsTeachers as a policy case in education researchTheory, values and policy research in educationThe context of policy researchResources for policy researchHistory and policy research in educationConclusioncontesting the future?BibliographyIndex.

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Book SynopsisIt has long been recognised that life history method has a great deal to offer to those engaged in social research. Indeed, right from the start of the twentieth century, eminent sociologists such as W.I. Thomas, C. Wright Mills and Herbert Blumer have suggested that it is the best, the perfect, approach for studying any aspect of social life. In recent years, life history has become increasingly popular with researchers investigating educational topics of all kinds, including: teachers' perceptions and experiences of different areas of their lives and careers; curriculum and subject development; pedagogical practice; and managerial concerns. Life History Research in Educational Settings sets out to explore and consider the various reasons for this popularity and makes the case that the approach has a major and unique contribution to make to understandings of schools, schooling and educational experience however characterised. The book draws extensively on examples of life history reseTable of ContentsIntroductionDeveloping life historiesTechniques for doing life historyWhat have you got when you've got a life story?epistemological considerationsStudying teachers' life histories and professional practiceLife stories and social contextstorylines and scriptsQuestions of ethics and power in life history researchConfronting the dilemmasBibliographyIndex.

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Book Synopsis What can computer simulation contribute to the social sciences? Which of the many approaches to simulation would be best for my social science project? How do I design, carry out and analyse the results from a computer simulation? Interest in social simulation has been growing rapidly worldwide as a result of increasingly powerful hardware and software and also a rising interest in the application of ideas of complexity, evolution, adaptation and chaos in the social sciences. Simulation for the Social Scientist is a practical textbook on the techniques of building computer simulations to assist understanding of social and economic issues and problems. This authoritative book details all the common approaches to social simulation, to provide social scientists with an appreciation of the literature and allow those with some programming skills to create their own simulations. New for this edition:A new chapter on designing multi-agent Table of Contents1: Simulation and social science 2: Simulation as a method 3: Systems dynamics and world models 4: Microanalytical simulation models 5: Queuing models 6: Multilevel simulation models7: Cellular automata 8: Multi-agent models 9: Developing multi-agent systems 10: Learning and evolutionary models Appendix A (websites) Appendix B (Linear stability analysis of the hawk–dove–lawabider model) Appendix C (Random number generators)

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Book SynopsisEvery year a vast number of research studies and a myriad of other forms of âevidenceâ are produced that have potential to inform policy and practice. Synthesis provides a way of bringing together diverse kinds of evidence to bridge the so called âgapâ between evidence and policy. This book provides a comprehensive overview of the range of approaches and methods available for synthesising qualitative and quantitative evidence and a detailed explanation of why this is important. It does this by: Looking at the different types of review and examining the place of synthesis in reviews for policy and management decision making Describing the process of conducting and interpreting syntheses Suggesting questions which can be used to assess the quality of a synthesis Synthesising Qualitative and Quantitative Health Evidence is essential reading for students and professional researchers who need to assemble and synthesise findings and insights from multiple sourcTable of ContentsAbout the authors Preface Acknowledgements PART 1 The evidence review process Different types of evidence review Stages in reviewing evidence systematically PART 2 Methods for evidence synthesis Quantitative approaches to evidence synthesis Interpretive approaches to evidence synthesis Mixed approaches to evidence synthesis PART 3 The product of evidence synthesis Organising and presenting evidence synthesis Using evidence reviews for policy and decision-making Approaches and assessment: choosing different methods andconsidering quality Useful reading References Index

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Book Synopsis"The book provides a well written guide that adeptly captures the sensitivities and complex implications of both research process and dissemination within the ever changing and highly regulated world of social work."Victoria Foster,Research Associate, School of Nursing, Midwifery and Social Work,University of Manchester, UK, in British Journal of Social Work June 2010"This book offers many practical examples of research projects taken from the author's own experience as a researcher. These examples illustrate the usually complex concepts of research methodology by showing how they are practised in the real world of social work, so the title is apt. Especially useful are the common features of social work research discussed at length in the final chapter, as a way of finding common ground in the disputed terrain of social work as a profession, and in social work research in particular."Heather D'Cruz, School of Health and Social Development, Deakin UniversityTable of ContentsIntroductionChapter 1 Drivers, demands and constraints in social work researchChapter 2'What works': evidence for practice?Chapter 3Critical perspectives: the view from outsideChapter 4Leading the Way? Social Work Research and Service UsersChapter 5From methodology to method: quantity and evidenceChapter 6Critical and interpretive approaches: what's going on here?Chapter 7Committed Research: models and methodsChapter 8Making it HappenChapter 9Putting It All TogetherChapter 10The Value of Social Work ResearchReferences

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