Social research and statistics Books

Book SynopsisStatistical designs, sample surveys and evaluation designs are fundamental tools for solving queries related to population parameters and the effects of public programs and policies. This book explores the concepts of effective sampling and evaluation techniques in a cohesive and concise manner. Sampling design techniques, including simple random sampling, stratified sampling, systematic sampling and cluster sampling, are presented in detail. These techniques play a vital role when choosing an appropriate sample survey design. The concepts of multistage design, non-sampling errors and evaluation techniques including before-after design, one-time treatment and control design are discussed extensively. The book focuses on different methods of estimation, including multiple regression analysis and logistic regression. It covers the issue of bias in a design, the source of such bias and ways to overcome it. Clear guidelines with remedial measures are outlined to facilitate choosing a suitaTable of ContentsPreface; Acknowledgements; Foreword Fred Arnold; List of tables; List of figures; 1. Introduction to sample survey designs; 2. Basic sampling designs; 3. Multi-stage designs; 4. Probability sampling under imperfect frame; 5. Tackling non-sampling errors; 6. Introduction to evaluation design; 7. Designs for causal effects: setting comparison groups; 8. Designs for causal effects: allocation of study units; 9. Statistical tests for measuring impact; 10. Case studies; References; Index.

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Book SynopsisFor both students and professionals seeking to understand the burgeoning field of network analysis, our text offers a comprehensive overview that integrates theory, method, and cutting-edge application with R (a free platform that is becoming the standard for the field).Trade Review'This is the text social network analysts have long awaited. Written by four of the most dynamic thinkers in the field, it achieves the impossible on multiple fronts: seamlessly integrating theory, method, and implementation; appropriate for novice and veteran analysts alike; truly comprehensive in scope, from the classic to the cutting edge; and somehow both sophisticated and accessible - featuring, for several important concepts, the clearest and most thoughtful treatment of the material I've ever seen. I feel certain it will become the foundational text for the next generation of relational scholars and I can't wait to have it on my shelf.' Kevin Lewis, University of California, San Diego'This wonderful book manages to cover an incredibly wide range of methodological, substantive, and theoretical issues, always making the connection between these clear to even a novice reader. Using careful, but intuitively accessible, discussions of cases, it translates complex theoretical concepts into concrete analytic examples with code. It is the class on network analysis everyone has wanted to take, distilled into book form.' John Levi Martin, University of Chicago'This book provides a wonderful integration of the theoretical and conceptual basis of social network analysis with modern methods. Traditional methods are not forgotten! The accompanying R tutorials are a great resource. The approach is original and convincing. The book offers excellent material for beginners, but also seasoned network researchers will learn a lot from it.' Tom Snijders, Universities of Groningen and OxfordTable of ContentsIntroduction; 1. Network analysis today; Part I. Thinking Structurally: 2. What is social structure?; 3. What is a social network?; 4. How are social network data collected?; 5. How are social network data visualized?; Part II. Seeing Structure: 6. Structuration and ego-centric networks; 7. Sociality and elementary forms of structure; 8. Cohesion and groups; 9. Hierarchy and centrality; 10. Positions and roles; 11. Affiliations and dualities; 12. Networks and culture; Part III. Making Structural Predictions: 13. Models for networks; 14. Models for network diffusion; 15. Models for social influence; Conclusion: 16. Network analysis tomorrow.

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Book SynopsisCause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.Trade Review'The use of counterfactuals for causal inference has brought clarity to our reasoning about causality. And this second edition by Morgan and Winship will bring clarity to anyone trying to learn about the field. It is an excellent introduction to the topic, and a fine place to begin learning causal inference.' Tyler J. VanderWeele, Harvard University, Massachusetts'This improved edition of Morgan and Winship's book elevates traditional social sciences, including economics, education and political science, from a hopeless flirtation with regression to a solid science of causal interpretation, based on two foundational pillars: counterfactuals and causal graphs. A must for anyone seeking an understanding of the modern tools of causal analysis, and a must for anyone expecting science to secure explanations, not merely descriptions.' Judea Pearl, University of California, Los Angeles'More has been learned about causal inference in the last few decades than the sum total of everything that had been learned about it in all prior recorded history. The first comprehensive survey of the modern causal inference literature was the first edition of Morgan and Winship. Now with the second edition of this successful book comes the most up-to-date treatment.' Gary King, Harvard University, Massachusetts'The second edition of Counterfactuals and Causal Inference should be part of the personal library of any social scientist who is engaged in quantitative research. For those with a copy of the first edition, purchase of the second edition is indeed well worth the investment.' Peter Messeri, Canadian Studies in PopulationTable of ContentsPart I. Causality and Empirical Research in the Social Sciences: 1. Introduction; Part II. Counterfactuals, Potential Outcomes, and Causal Graphs: 2. Counterfactuals and the potential-outcome model; 3. Causal graphs; Part III. Estimating Causal Effects by Conditioning on Observed Variables to Block Backdoor Paths: 4. Models of causal exposure and identification criteria for conditioning estimators; 5. Matching estimators of causal effects; 6. Regression estimators of causal effects; 7. Weighted regression estimators of causal effects; Part IV. Estimating Causal Effects When Backdoor Conditioning Is Ineffective: 8. Self-selection, heterogeneity, and causal graphs; 9. Instrumental-variable estimators of causal effects; 10. Mechanisms and causal explanation; 11. Repeated observations and the estimation of causal effects; Part V. Estimation When Causal Effects Are Not Point Identified by Observables: 12. Distributional assumptions, set identification, and sensitivity analysis; Part VI. Conclusions: 13. Counterfactuals and the future of empirical research in observational social science.

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Book SynopsisIn the age of data-driven problem-solving, applying sophisticated computational tools for explaining substantive phenomena is a valuable skill. Yet, application of methods assumes an understanding of the data, structure, and patterns that influence the broader research program. This Element offers researchers and teachers an introduction to clustering, which is a prominent class of unsupervised machine learning for exploring and understanding latent, non-random structure in data. A suite of widely used clustering techniques is covered in this Element, in addition to R code and real data to facilitate interaction with the concepts. Upon setting the stage for clustering, the following algorithms are detailed: agglomerative hierarchical clustering, k-means clustering, Gaussian mixture models, and at a higher-level, fuzzy C-means clustering, DBSCAN, and partitioning around medoids (k-medoids) clustering.Table of Contents1. Introduction; 2. Setting the stage for clustering; 3. Agglomerative hierarchical clustering; 4. k-means clustering; 5. Gaussian mixture models; 6. Advanced methods; 7. Conclusion.

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Book SynopsisThe second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students'' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.Trade Review'Dr Warne's gift for teaching statistics is apparent in his writing of this book. Indeed, I wish I had this book when I was a student. His use of the General Linear Model as a schema for understanding how statistical methods are interrelated sets the book apart from others.' Leena J. Landmark, Associate Professor of Special Education, Sam Houston State University, USATable of Contents1. Statistics and Models; 2. Levels of Data; 3. Models of Central Tendency and Variability; 4. Visual Models; 5. Linear Transformations and z-Scores; 6. Probability and the Central Limit Theorem; 7. Null Hypothesis Statistical Significance Testing and z-Tests; 8. One-Sample t-Tests; 9. Paired-Samples t-Tests; 10. Unpaired Two-Sample t-Tests; 11. Analysis of Variance; 12. Correlation; 13. Regression; 14. Chi-Squared Test; 15 Applying Statistics to Research, and Advanced Statistical Methods.

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Book SynopsisThe best decisions made by public managers are based not on instinct, but on an informed understanding of what's happening on the ground. Policy may be directed by ideology, but it must also be founded on reality. The challenge of making the right decisions as a public manager is often, therefore, based on the need for rigorous, actionable research. Now in a thoughtfully revised second edition, this textbook shows students of Public Administration exactly how to use both qualitative and quantitative research techniques to give them the best chance to make the right decisions.Uniquely, Eller, Gerber, and Robinson present research methodologies through a series of real-life case studies, with each chapter exploring situations where a public manager can use research to answer specific questions, demonstrating how that research can inform future policy. Taking readers through the key concepts, from research design and sampling to interviews, survey data, and more statisticTable of ContentsSection 1. The Purpose and Value of Evaluation and Analytic Skills and their Use in Evidence in Decision-making 1. Introduction: What is Research? 2. Evidence-based Practice for Public Affairs 3. The Research Process: An Introduction to Key Concepts 4. Conducting Preliminary Research Section 2. The Basic Operations of Research: Setting Up a Project, Gathering Data 5. Research Design 6. Measurement 7. Population Sampling 8. Case Studies 9. Interviews 10. Field Research 11. Survey Data Section 3. Estimating How the World Works: Testing Claims and Drawing Inferences 12. Coding and Data Display 13. Descriptive Statistics 14. Introduction to Probability and Distributions 15. Hypothesis Testing 16. Measures of Association Section 4. Advanced Quantitative Techniques and Applied Decision Tools 17. Simple Linear Regression 18. Multiple Least Squares Regression Analysis 19. Applied Decision Tools 20. Mixing Research Methods Section 5. Managing Project, Completing Projects 21. Managing Research and Evaluation Projects 22. Presenting Research: Writing and Speaking in Policy and Management Settings 23. Conclusion: Bringing It All Together Appendix

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Book SynopsisThis book introduces and critically explores walking as an innovative method for doing social research, showing how its sensate and kinaesthetic attributes facilitate connections with lived experiences, journeys and memories, communities and identities. The book situates walking methods historically, sociologically, and in relation to biographical and arts-based research, as well as new work on mobilities, the digital, spatial, and the sensory.The book is organised into three sections: theorising; experiencing; and imagining walking as a new method for doing biographical research. There is a key focus upon the Walking Interview as a Biographical Method (WIBM) on the move to usefully explore migration, memory, and urban landscapes, as part of participatory, visual, and ethnographic research with marginalised communities and artists and as re-formative and transgressive. The book concludes with autobiographical walks taken by the authors and a discussion about the future of theTrade Review“This superb book explores the intersections between walking and ethnography, narrative and biographic methods, visual and participatory methods. The authors’ enthusiasm is infectious and will surely inspire researchers to get walking!” Jennifer Fleetwood, Senior Lecturer in Criminology, Goldsmiths College, UK“Walking Methods is an important contribution to the field of walking studies through a critical new method – the Walking Interview as a Biographical Method (WIBM). The book is comprehensive in scope, detailing the history and current iterations of ‘methods on the move’ across the arts and social sciences. WIBM is significant because it considers how people’s biographies and life stories are shaped through perambulation that takes place through various durations and movements. Rich in examples, exercises, and (auto)biographical reflections this book makes a unique contribution to walking methods.”Stephanie Springgay, Associate Professor, Ontario Institute for Studies in Education, The University of Toronto, Canada“A learned, revealing and absorbing route one guide to the sociology of walking and using the self as a sociological resource. Essential.”Chris Rojek, Professor of Sociology, City University of London, UK“This book is the first complex composition of theoretical and empirical approaches to the different aspects of ‘research on the move’. Deeply inspiring for sociologists, anthropologists, psychologists, and researchers of cultural studies. The high quality pedagogue supports qualitative researchers, especially those working and representing biographical studies.” Prof. Kaja Kaźmierska, Director of the Institute of Sociology, and Chair of the ESA Research Network 3 on Biographical Perspectives on European Societies, University of Lodz, PolandTable of ContentsIntroduction Part I: Theorizing/Observing/Thinking 1. Methods on the Move: Moving Methods 2. Theorizing Walking in the Sociological Imagination – Walking in Context 3. Walking, Art-Making and Biographical Research Exercise One: Walking and Theorizing - Observing/Thinking Part II: Experiencing 4. Migration, Memory and Place - Connecting with Memory and Place in Urban Landscapes 5. Walking as Re-Formative and Transgressive: Health, Pilgrimage, Trespass, Marching 6. Walking in the Downtown Eastside – Experiencing the WIBM as Participatory, Visual and Ethnographic Exercise Two: Walking, Sensing, Experiencing Part III: Imagining 7. Walking, Sex Work, and Community: Towards a Radical Democratic and Imaginative Space for addressing Sexual and Social Inequalities 8. The Phenomenology of Walking in a Garden 9. Walking Artists: Critical Dialogues and Imaginaries 10. Auto/Biographical Encounters in Time and Space – Roots and Routes Exercise Three: Walking and Imagining – Time/Memory/Making Conclusion: The Future of the Walking Interview as a Biographical Method Exercise Four: WIBM Exercise – Observing, Experiencing, Imagining The Walking Interview as a Biographical Method – Principles and Practice: A Framework

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Book SynopsisChanging Art into Research: Soliloquy Methodology presents a research methodology that enables inquiry into one's personal experiences in an endeavour to reveal essential commonalities of human experience. Arts-informed research methods are becoming increasingly popular with scholars in Arts, Education and the Social Sciences, but there is often confusion about how to turn arts practice into rigorous inquiry.This book examines the theoretical perspectives needed to inform these research approaches, which are often missing in methods teaching and research. Soliloquy is a new methodology that interprets and applies Husserl's philosophical concept of Transcendental Phenomenology. It marries together the synthesizing powers of the unconscious mind with the analytical capacities of conscious cognition and articulation. It further explores the possibility that both cognitive and intuitive ways of knowing are valid and appropriate for academic inquiry, provided theTable of ContentsAcknowledgements; Preface; 1. A Concise Overview of Soliloquy 2. The Co-Existing Realities of the Ephemeral and the Eternal: Aristotle and Plato 3. Intuition 4. The Theoretical Perspective of Soliloquy: Transcendental Phenomenology 5. Soliloquy for the Intuitive Researcher: The Methods; Glossary of Terms

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Table of ContentsAppendix D: Glossary Chapter 1: Introduction to Evidence-Based Inquiry Chapter 2: Research Designs and Reading Research Reports Chapter 3: Research Problems, Questions and Hypotheses Chapter 4: Review of Literature Chapter 5: Designing Quantitative Research: Purpose, Validity, and Ethical Considerations Chapter 6: Participants, Subjects and Sampling for Quantitative Designs Chapter 7: Descriptive Statistics Chapter 8: Quantitative Data Collection: Technical Adequacy Chapter 9: Collecting Quantitative Data Chapter 10: Nonexperimental Research Designs, Surveys, and Secondary Data Analysis Chapter 11: Experimental, Quasi-Experimental, and Single-Subject Designs Chapter 12: Understanding and Reporting Inferential Data Analyses Chapter 13: Designing Qualitative Research Chapter 14: Collecting Qualitative Data Chapter 15: Qualitative Data Analysis Chapter 16: Mixed-Methods Designs Chapter 17: Concept Analysis and Historical Research Chapter 18: Evaluation Research and Policy Analysis Chapter 19: Action Research Appendix A: Answers to Application Problems Appendix B: Guidelines for Writing Research Proposals Appendix C: Guidelines for Writing Research Reports Appendix E: Calculations for Selected Descriptive and Inferential Statistics

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Book SynopsisFirst published Open Access under a Creative Commons license as What is Diary Method?, this title is now also available as part of the Bloomsbury Research Methods series.This book provides an up-to-date, concise, and engaging introduction to solicited diary method, aimed at researchers and students who want to employ this methodology in their projects. Its primary focus is on the use of solicited diary method in the context of social and health-related research, but it also offers useful guidance on the everyday practice of diary-keeping. The authors draw on published research that makes use of this method, including their own independent studies involving older adults and family carers. The book opens with an overview of the development of diary techniques and a discussion of the value of the method, and provides an overview of the different ways of collecting and using diary data and techniques for analysing it. Key ethical issues are sensitively discussed. Trade Review[The authors'] considerable experience of using diary method in health and social care research, together with the many practical examples drawn from up-to-date and diverse literature, makes this an enjoyable and authentic read, as well as an important contribution to the literature ... Bartlett and Milligan have raised the profile and value of diary method as a versatile research tool. The book is an excellent starting point for academics and students who will be inspired by the many practical examples. It is also an ideal reference text for those wishing to incorporate diary method into research methods courses ... [and] has much to offer those in health and social research. I will be recommending this book to my students and colleagues. * International Journal of Research & Method in Education *Gives an excellent overview of how solicited diaries can offer researchers new insights into people’s experiences. A welcome addition to the research methods literature for anyone involved in health and social sciences research. * Jenny Hislop, Senior Researcher at the University of Oxford, UK *First easily understandable book on diary method, which comprehensively explains how to do it practically. Perfectly suitable for undergraduates. Easy to follow and good step-by-step instructions. Great chapters on sensory and audiovisual approaches and mixed methods approaches, they really add great value to the book. * Stephanie Tischler, IMC University of Applied Sciences Krems, Austria *Table of ContentsSeries Editor Foreword 1. The Development of Diary Techniques for Research 2. Engaging with Diary Techniques 3. Practical Issues with Diary Techniques: Design and Analysis 4. The Rise of Technology and its Influences on Diary Methods 5. Exploring Issues of Participation, Control and Ethics 6. Methodological Issues and Future Directions References Index

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Book SynopsisEmergent Methods in Social Research introduces state-of-the-art social research methods that address the growing methods-theory gap within and across the disciplines. In this text, editors Sharlene Nagy Hesse-Biber and Patricia Leavy combine original, in-depth introductions, previously published articles, and original works to provide readers with a comprehensive view of new and cutting-edge research methods and methodologies. Key Features: Combines theoretical and empirical pieces: Both theoretical and methodological issues at the cutting edge of research are explored. The linking of theoretical and empirical pieces, in addition to the focus on emergent methods, makes this book highly unique to the field. Focuses on two sub-topics: Emerging research techniques across disciplines and emerging methods within disciplines are examined. The scope of the work offers a very broad perspective of the possible uses and issues surTrade Review"All of the book′s chapters are written with enthusiasm and an interest to stimulate researchers to make new uses of traditional data gathering methods and/or develop new ideas." -- Daunta A. NiteckiTable of ContentsAcknowledgements Introduction: Emergent Methods in Social Research Within and Across Disciplines Skirting a Pleated Text: De-Disciplining an Academic Life - Laurel Richardson Getting Connected: How Sociologists Can Access the High Tech Elite - Trond Aren Undheim A Sociologist Among Economists: Some Thoughts on Methods, Positionality, and Subjectivity - Sarah Babb Ethnography and Conversation Analysis: What Is the Context of an Utterance? - Douglas W. Maynard Creativity Within Qualitative Research on Families: New Ideas for Old Methods - Sharon A. Deacon Sampling Human Experience in Naturalistic Settings - Tamlin Conner and Eliza Bliss-Moreau Feminist Visualization: Re-envisioning GIS as Method in Feminist Geographic Research - Mei-Po Kwan Practical Strategies for Combining Qualitative and Quantitative Methods: Applications to Health Research - David Morgan Performing Autoethnography: An Embodied Methodological Praxis - Tami Spry Exposed Methodology: The Body as a Deconstructive Practice - Wanda S. Pillow Ethnodrama: Performed Research—Limitations and Potential - Jim Mienczakowski On the Listening Guide: A Voice-Centered Relational Method - Carol Gilligan, Renee Spencer, M. Katherine Weinberg and Tatiana Bertsch Friendship as Method - Lisa Tillmann-Healy Gender Imago - Niza Yanay and Nitza Berkovitch The Personal is Political: Using Daily Diaries to Examine Everyday Prejudice-Related Experiences - Lauri L. Hyers, Janet K. Swim, Robyn K. Mallett Feminist Media Ethnography in India: Exploring Power, Gender, and Culture in the Field - Radhika Parameswaran Conclusion: “Coming at Things Differently”: The Need for Emergent Methods About the Editors About the Contributors

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Book SynopsisThis second edition provides an excellent overview of the field by covering the traditional themes and current trends in image centred photographic visual inquiry but extends this by demonstrating the rich possibilities available through the analysis of everyday objects, places and interactions. The book includes chapters on researching 2D and 3D visual data, along with lived and living visual data, and also features a brand new chapter on researching the virtual world of the internet. Drawing on theoretical traditions as diverse as semiotics, ethnomethodology, symbolic interactionism and material culture studies, the second edition provides an invaluable guide for researchers interested in conducting innovative visual inquiry. Packed with exercises and projects, the book makes it easy for students to undertake their own research with limited resources and budget. The new edition also features helpful icons alerting researchers to important ethical considerations that areTrade ReviewStocked with artful new insights, methods and observations without jettisoning more enduring concerns, the field of visual research as presented here is a very welcome sight.David RoweUniversity of Western Sydney In this newest edition, the authors take visual research far beyond the study of two-dimensional images to show readers how observational techniques can be marshalled to analyze public and private spaces in the built environment, human interaction and the culture of everyday life. Researching the Visual is a real eye-opener.David GrazianUniversity of Pennsylvania ...Although the book does not explicitly say that this would be useful for educational researchers, the content and style does lend itself well to be a useful methodological resource for those educationalists engaged in research or postgraduate study who are curious about visual methods. And for the adventurous, the many excellent examples of exercises and projects and the illustrations throughout will provide a good place to start. This book would also be a positive addition to the reading list of any lecturers who are keen to explore visual methods with their students. -- Jill Clark, School of Education, Communication and Language Sciences, Newcastle UniversityThe Impact of the Social Sciences provides wide-ranging new data on how non-academic impact occurs in social, business or policy contexts as well as identifying the types of research and researcher best placed to produce these ′auditable or recordable occasions of influence′. It also proposes the idea of ′a hidden iceberg mass of knowledge′ called the Dynamic Knowledge Inventory that builds up in the public domain and remains dormant, ready for some unspecified use. This framework also highlights the collective and cumulative nature of social science research available to user communities. As REF impact case studies and ′Pathway to Impact′ statements rely on specific impacts emerging from individual research projects, the Dynamic Knowledge Inventory challenges a major assumption of the impact agenda. -- Jacqueline Aldridge, Kent Business School, University of KentThe Impact of the Social Sciences provides wide-ranging new data on how non-academic impact occurs in social, business or policy contexts as well as identifying the types of research and researcher best placed to produce these ′auditable or recordable occasions of influence′. It also proposes the idea of ′a hidden iceberg mass of knowledge′ called the Dynamic Knowledge Inventory that builds up in the public domain and remains dormant, ready for some unspecified use. This framework also highlights the collective and cumulative nature of social science research available to user communities. As REF impact case studies and ′Pathway to Impact′ statements rely on specific impacts emerging from individual research projects, the Dynamic Knowledge Inventory challenges a major assumption of the impact agenda. -- Jacqueline Aldridge, Kent Business School, University of KentThe Impact of the Social Sciences provides wide-ranging new data on how non-academic impact occurs in social, business or policy contexts as well as identifying the types of research and researcher best placed to produce these ′auditable or recordable occasions of influence′. It also proposes the idea of ′a hidden iceberg mass of knowledge′ called the Dynamic Knowledge Inventory that builds up in the public domain and remains dormant, ready for some unspecified use. This framework also highlights the collective and cumulative nature of social science research available to user communities. As REF impact case studies and ′Pathway to Impact′ statements rely on specific impacts emerging from individual research projects, the Dynamic Knowledge Inventory challenges a major assumption of the impact agenda. -- Jacqueline Aldridge, Kent Business School, University of KentTable of ContentsA Very Short Introduction: The Scope of Visual Research Ethics in Visual Research Visual Research: The Disciplinary Core Two-Dimensional Visual Data: Photographs and Beyond Three-Dimensional Visual Data Lived Visual Data Living Forms of Visual Data Virtual Visual Data

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Book SynopsisThis accessible and practical book is a perfect quick guide for postgraduate researchers in education. Looking at the interdependence of teaching and research, the authors show that a critical and analytical exploration of policies and practices is a necessary part of what we mean by being a 'professional' in education. Drawing on the authors' substantial experience of teaching research skills at postgraduate level, as well as on their own experiences as active researchers, the book will guide you through: - discourse analysis - visual methods - textual research - data collection and analysis This co-authored book is structured around a range of methods applicable to educational research and appropriate for use by practitioners at all stages of their professional development. It takes recognisable, 'real life' scenarios as its starting point for each discussion of method, so that readers are able to start from the knownTrade Review′This book successfully revives Lawrence Stenhouse′s seminal work on the ′teacher-researcher′ by showing the interconnectedness of teaching and research and stressing the key role of the practitioner-researcher. Its chapters provide comprehensive guidance for researchers at all levels on conducting small scale research in an ethical and reflexive way′-Professor Jerry Wellington, SheffieldTable of ContentsIntroduction Research in Education Ethical Research in Education Insider Research Writing a Literature Review Interviewing in Education Research Case Study Action Research Ethnographic Research Discourse Analysis and Policy Analysis Text and Image in Qualitative Research - Lydia Spenceley Analysing and Reporting Qualitative Data Disseminating Your Research Conclusion

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Book SynopsisGoing beyond a general introduction to offer a hands-on guide, Participatory Researchempowers students to feel confident understanding and applying participatory methods to their research projects. It takes an accessible approach to explaining the theory that grounds participatory research and offers students practical strategies for how and when to choose and apply a wide range of these methods. Comprehensive yet easy to understand, this book: Gives students a thorough grounding in the history and theoretical issues surrounding each method Showcases participatory research in action through extensive on-the-ground case studies Highlights the importance of ethics in research design, offering guidance on dealing with sensitive considerations in participatory research With a sustained focus on theimpact of digital technologies, this book tackles head-on the need to re-assess the way we involve people in contemporary Trade ReviewOne unique feature of this text is the way it richly lays out how theory and practice can (and do!) come together in participatory research. It is chock full of case studies, examples and exercises to help the material come alive and engage learners in reflexive praxis. -- Sarah FlickerThis book is a highly important and timely contribution to the field of research methods. It provides the reader with various approaches, illustrates their applications and is of great value to any student, researcher or practitioner interested in participatory research methods. -- Ingvill C. MochmannThis book offers students a secure introduction to participatory research: origins, theory, methods and most importantly ethics, including the specificity of situated ethics within a participatory design. Students are provided with practical strategies to help navigate participatory research projects. -- Niamh O’BrienDirk Schubotz′s book is impressive. He reveals theoretical, historical and ethical backgrounds of participatory approaches to research and his book is also useful in terms of practice. You can feel the author′s strong empirical background involving children and young people as subjects in research projects. A strong parol for understanding research as practice of mutual understanding, collective action and social change. -- Timo AckermannWhat a fantastic book! Comprehensive in scope, underpinned by important theoretical approaches, a great set of exercises and a deep commitment to the transformative possibilities of PAR! A must for all research students, researchers and transdisciplinary research teams. -- Maggie O′NeillTable of ContentsIntroduction Part I: History, Theory and Ethics of Participatory Methods Chapter 1: The History and Nature of Participatory Research Methods Chapter 2: Theoretical Perspectives on Participatory Research Chapter 3: Approaches and Populations in Participatory Research Chapter 4: Research Ethics in Participatory Research Practice Part II: Applications of Participatory Methods Chapter 5: Participatory Action Research (PAR) Chapter 6: Participatory Approaches to Participant Observation Chapter 7: Group Discussion Methods in Participatory Research Chapter 8: Participatory Survey Methods In Conclusion

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Book SynopsisSocial research is a bourgeoning field. Of course it has many traditions and approaches, but there is a high premium upon thinking differently and thinking anew because social life is never static or wholly predictable.The Handbook, edited by internationally recognized scholars, provides a comprehensive, pitch-perfect critical assessment of the field. The main features of the Handbook are: Clear organization into 4 parts dealing with The Social Context of Research; Design and Data Collection; Integrating The Analysis of New Data Types; Sampling, Inference and Measurement Clear, cutting edge chapters on Objectivity; Causation; Organizing Social Research; Correspondence Analysis; Grounded Theory; Conversational Surveys; Mixed Methods; Meta-Analysis; Optimal Matching Analysis; GIS Analysis; Quantitative Narrative Analysis; Longitudinal Studies; SEM; MLM; Qualitative Comparative Analysis; Respondent Driven Sampling Brings together a glittering asTrade ReviewThis book speaks to researchers across the social sciences, irrespective of their methodological persuasion. It brings fresh new perspectives to some of the core concerns of social science research methods; it challenges conventions and accepted wisdoms and provides pointers to an exciting future. The editors have produced a collection of papers that bring together some of the most original and innovative thinking about research methods. The chapters run the gamut of the research process whilst moving seamlessly across methodological boundaries. The book provides new ways of thinking about research and new ways of doing research, providing the reader with valuable pointers to their own research. -- Angela DaleThis is a wonderful collection of interesting, novel and practically useful discussions of a wide variety of methodological topics in the social sciences. -- Harold KincaidTable of ContentsPART ONE: THE SOCIAL CONTEXT OF RESEARCH Introduction - Malcolm Williams and W Paul Vogt Objectivity: A Reconceptualization - Martyn Hammersley Setting Up Sociological Research - Geoff Payne Feminist Methodology - Gayle Letherby What Is an Effect? Coming at Causality Backwards - David Byrne PART TWO: DESIGN AND DATA COLLECTION Introduction - Malcolm Williams and W Paul Vogt Narratives of the Future: Complexity, Time and Temporality - Emma Uprichard Mapping Pathways - Wendy Dyer Correspondence Analysis: A Case for Methodological Pluralism? - Ian Rees-Jones Case-Oriented Theory-Building and Theory-Testing - Charles C Ragin and Garrett Andrew Schneider Investigating Human Communication and Language from Traces Left on the Web - Mike Thelwall Innovative Qualitative Data-Collection Techniques for Conducting Literature Reviews/Research Syntheses - Anthony J Onwuegbuzie, Nancy L Leech and Kathleen M T Collins Grounded Theory - Antony Bryant and Kathy Charmaz Back to Likert: Towards the Conversational Survey - Giampietro Gobo Mixed Methods for Construct Validation - John H Hitchcock and Bonnie K Nastasi Researching with Peer/Community Researchers: Ambivalences and Tensions - Rosalind Edwards and Claire Alexander Innovations in Program Evaluation: Comparative Case Studies as an Alternative to RCTs - W Paul Vogt et al PART THREE: INTEGRATING THE ANALYSIS OF NEW DATA TYPES Introduction - W. Paul Vogt and Malcolm Williams Advances in Combining Regression Results in Meta-Analysis - Ariel M Aloe and Betsy Jane Becker Toward a New Era for Conducting Mixed Analyses: The Role of Quantitative Dominant and Qualitative Dominant Cross-Over Mixed Analyses - Anthony J Onwuegbuzie, Nancy L Leech and Kathleen M T Collins Optimal Matching Analysis - Peter Martin and Richard D Wiggins Quantitative Narrative Analysis - Roberto Franzosi Lexicographic Index: A New Measurement of Resemblance among Sequences - Ivano Bison Geographic Information Systems (GIS) and Spatial Analysis - Elizabeth Griffiths PART FOUR: SAMPLING, INFERENCE AND MEASUREMENT Introduction - W Paul Vogt and Malcolm Williams Respondent-Driven Sampling: Operational Procedures, Evolution of Estimators and Topics for Future Research - Cyprian Wejnert and Douglas Heckathorn Analyzing Longitudinal Studies with Non-Response: Issues and Statistical Methods - James Carpenter and Ian Plewis Statistical Inference for Causal Effects, with Emphasis on Applications in Psychometrics and Education - Donald B Rubin Automatic Item Generation: An Innovation for Developing Complex Cognitive Tests - Susan E Embretson and Heather H. McIntyre Convergence of Structural Equation Modeling and Multilevel Modeling - Rex B Kline Hierarchical Linear and Structural Equation Modeling Approaches to Mediation Analysis in Randomized Field Experiments - Keenan Pituch and Laura Stapleton

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Book SynopsisThis book analyses societal trends and controversies related to developments in data ownership, access, construction, dissemination and interpretation, looking at the ways that society interacts with and uses statistical data.Table of ContentsBook Introduction ~ Humphrey Southall, Jeff Evans and Sally Ruane; 1: How Data are Changing; Introduction ~ Humphrey Southall and Jeff Evans; Statistical work: the changing occupational landscape ~ Kevin McConway; The creation and use of big administrative data ~ Harvey Goldstein and Ruth Gilbert Data Analytics ~ Ifan Shepherd and Gary Hearne; Social Media Data ~ Adrian Tear and Humphrey Southall; 2: Counting in a Globalised world; Introduction ~ Sally Ruane and Jeff Evans; Adult Skills Surveys and Transnational Organisations: Globalising Educational Policy ~ Jeff Evans; Poverty and health care surveys in the Global South: Towards making valid estimates ~ Roy Carr-Hill; Counting the Population in Need of International Protection Globally ~ Brad Blitz, Alessio D’Angelo and Eleonore Kofman; Tax justice and the challenges of measuring illicit financial flows ~ Richard Murphy; 3: The Changing Role of the State; Introduction ~ Sally Ruane and Humphrey Southall; The control and ‘fitness for purpose’ of UK official statistics ~ David Rhind; The Statistics of Devolution ~ David Byrne; Welfare reform: national policies with local impacts ~ Christina Beatty and Steve Fothergill; Social insecurity and the changing role of the (welfare) state: Public perceptions, social attitudes and political action ~ Christopher Deeming and Ron Johnston; Access to data and NHS privatisation: reducing public accountability ~ Sally Ruane; 4: Economic Life; Introduction ~ Humphrey Southall, Sally Ruane and Jeff Evans; The ‘distribution question’: the role of statistical analysis in measuring and evaluating trends in inequality ~ Stewart Lansley; Labour market statistics ~ Paul Bivand; The financial system ~ Rebecca Boden; The difficulty of building comprehensive tax avoidance data ~ Prem Sikka; Tax and spend decisions: did austerity improve financial numeracy and literacy? ~ David Walker; 5: Inequalities in Health and Well-being; Introduction ~ Sally Ruane and Humphrey Southall; Health Divides ~ Anonymous; Measuring Social Wellbeing ~ Roy Carr-Hill; Re-engineering health policy research to measure equity impacts ~ Tim Doran and Richard Cookson; The Generation Game: Ending the phony information war between young and old ~ Jay Ginn and Neil Duncan-Jordan; 6: Advancing social progress through critical statistical literacy; Introduction ~ Jeff Evans, Humphrey Southall and Sally Ruane; The Radical Statistics Group: Using Statistics for Progressive Social Change ~ Jeff Evans and Ludi Simpson; Lyme disease politics and evidence-based policy-making in the UK ~ Kate Bloor; Counting the uncounted: contestations over casualisation data in Australian universities ~ Nour Dados, James Goodman and Keiko Yasukawa; The quantitative crisis in UK Sociology ~ Malcolm Williams, Luke Sloan and Charlotte Brookfield; Critical Statistical Literacy and Interactive Data Visualisations ~ Jim Ridgway, James Nicholson, Sinclair Sutherland and Spencer Hedger; Full Fact ~ Amy Sippitt; What a difference a dataset makes? Data journalism and/as data activism ~ Jonathan Gray and Liliana Bounegru; Book Epilogue .

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Book SynopsisIn the first dedicated analysis of its kind, international experts review the rationale and results of arts-based approaches to research, teaching, and practice in social work. The book presents examples of their use and methods to evaluate and theorise results and shows how arts can form outputs from research too.Table of ContentsIntroduction ~ Ephrat Huss and Eltje Bos; Section 1: Arts-Based Research as a Method to Understand and Give Voice to ‎Marginalized Groups Using Arts-Based Methods to Explore Existential Issues around Ageing ~ Paola de Bruijn & Erik Jansen Art- And Music-Based Activities and Nondeliberative Participatory Research Methods: Building Connection and Community ~ Brian L. Kelly Arts-Based Methods to Co-create Knowledge and Reconstruct Power Relations with Marginalized Women in and through Research ~ Sofie Vindevogel Auto-Ethnographic Playwriting and Performance for Self-Healing and Advocacy ~ Rogério Meireles Pinto Using Photography to Research the “Other” the Validity of Photography for Social Work Research: A Visual Case Study from China ~ Peter Szto Mixed Arts-Based Methods as a Platform for Expressing Lived Experience ~ Orna Shemer and Eitan Shahar Art-Based Methods to Support and Reveal New Mothers’ and Families’ Experiences: A Positive Parenting and Feminist Approach ~ Lucía Hervás Hermida Section 2: Using Arts-Based Research to Listen to, and Give Voice to, Children in ‎Social Work ‎ “I Don’t Like the Cameras in the House. They’re Looking at Us All the Time”: The Contribution of Photovoice to Children in a Post-hospitalization Program ~ Arielle Friedman & Hila Zaguri Art-Based Research Work with Migrant Children ~ Genevieve Guetemme Using Creative Art Research Approaches to Assess Arts Based Interventions with Children in Post Disaster Contexts ~ Julie Drolet, Nasreen Lalani, and Caroline McDonald-Harker Section 3: Arts-Based Research as a Way for Researchers and ‎Community Members to Understand Communities Murals and Photography in Community Engagement and Assessment ~ Holly Feen-Calligan, Elizabeth Barton, Julie Moreno, Emma Buzzard, & Marion Jackson Forum Theatre as Participatory Action Research with Community Workers ~ Mike de Kreek, Eltje Bos, & Margareta von Salisch A/R/Tography, Rhizomatic Storytelling, and Ripple Effects Mapping: A Combined Arts-Based and Community Mapping Methodology to Evaluate the Impact of COVID-19 Expressive Arts Support Groups for Frontliners in the Philippines ~ Maria Regina A. Alfonso , Adrienne M. Santos Lagmay, M.A., Joey A. Atayde, Kathleen Bautista, & M. Imelda Lukban Art and Artefact: Displaying Social Work through Objects ~ Mark Doel Building Research Capacity: Scaffolding the Process through Arts-Based Pedagogy ~ Ronald P.M.H. Lay Art as a way of improving Participatory Action Research: an experience with youngsters with an intellectual disability and their families ~ Linda Ducca Epilogue ~ Ephrat Huss and Eltje Bos

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Book SynopsisIn the first dedicated analysis of its kind, international experts review the rationale and results of arts-based approaches to research, teaching, and practice in social work. The book presents examples of their use and methods to evaluate and theorise results and shows how arts can form outputs from research too.Table of ContentsIntroduction ~ Ephrat Huss and Eltje Bos; Section 1: Arts-Based Research as a Method to Understand and Give Voice to ‎Marginalized Groups Using Arts-Based Methods to Explore Existential Issues around Ageing ~ Paola de Bruijn & Erik Jansen Art- And Music-Based Activities and Nondeliberative Participatory Research Methods: Building Connection and Community ~ Brian L. Kelly Arts-Based Methods to Co-create Knowledge and Reconstruct Power Relations with Marginalized Women in and through Research ~ Sofie Vindevogel Auto-Ethnographic Playwriting and Performance for Self-Healing and Advocacy ~ Rogério Meireles Pinto Using Photography to Research the “Other” the Validity of Photography for Social Work Research: A Visual Case Study from China ~ Peter Szto Mixed Arts-Based Methods as a Platform for Expressing Lived Experience ~ Orna Shemer and Eitan Shahar Art-Based Methods to Support and Reveal New Mothers’ and Families’ Experiences: A Positive Parenting and Feminist Approach ~ Lucía Hervás Hermida Section 2: Using Arts-Based Research to Listen to, and Give Voice to, Children in ‎Social Work ‎ “I Don’t Like the Cameras in the House. They’re Looking at Us All the Time”: The Contribution of Photovoice to Children in a Post-hospitalization Program ~ Arielle Friedman & Hila Zaguri Art-Based Research Work with Migrant Children ~ Genevieve Guetemme Using Creative Art Research Approaches to Assess Arts Based Interventions with Children in Post Disaster Contexts ~ Julie Drolet, Nasreen Lalani, and Caroline McDonald-Harker Section 3: Arts-Based Research as a Way for Researchers and ‎Community Members to Understand Communities Murals and Photography in Community Engagement and Assessment ~ Holly Feen-Calligan, Elizabeth Barton, Julie Moreno, Emma Buzzard, & Marion Jackson Forum Theatre as Participatory Action Research with Community Workers ~ Mike de Kreek, Eltje Bos, & Margareta von Salisch A/R/Tography, Rhizomatic Storytelling, and Ripple Effects Mapping: A Combined Arts-Based and Community Mapping Methodology to Evaluate the Impact of COVID-19 Expressive Arts Support Groups for Frontliners in the Philippines ~ Maria Regina A. Alfonso , Adrienne M. Santos Lagmay, M.A., Joey A. Atayde, Kathleen Bautista, & M. Imelda Lukban Art and Artefact: Displaying Social Work through Objects ~ Mark Doel Building Research Capacity: Scaffolding the Process through Arts-Based Pedagogy ~ Ronald P.M.H. Lay Art as a way of improving Participatory Action Research: an experience with youngsters with an intellectual disability and their families ~ Linda Ducca Epilogue ~ Ephrat Huss and Eltje Bos

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Book SynopsisThis cross-Europe analysis explores crucial aspects of long term recovery from substance use. Leading experts set out the evolving needs of people who have sought to change their use of substances and the factors in their progress. The book concludes with clear recommendations for improving future research, policy and practice.Table of ContentsPart 1: Critical explorations of long-term recovery 1. Recovery as long term: an introduction ~ Alastair Roy, Sarah Galvani and Amanda Clayson 2. Is measuring long-term recovery desirable, necessary or even possible? ~ Wulf Livingston 3. Telling recovery stories: an exploration of the relationship between policy, practice and lived experience ~ Alastair Roy and Jennifer Christensen 4. Change processes in long-term recovery for individuals with present and former substance-use dependence ~ Thomas Solgaard Svendsen 5. Provider and user perspectives on long-term recovery in England: how do we know when we are done? ~ Maike Klein and John Hill Part 2: Intimate relationships, trauma and long-term recovery 6. Women’s and men’s stories about sex and intimate relationships in long-term recovery from problematic drug use ~ Anette Skårner and Bengt Svensson 7. Multiple recoveries: substance use and trauma ~ Sarah Fox and Karin Berg 8. Being a partner in long-term recovery: stories from female partners in Norway ~ Sari Lindeman and Lillian Bruland Selseng 9. Long-term recovery for the ‘adult children’ of parents who use alcohol in Iceland ~ Jóna Ólafsdóttir and Amanda Clayson Part 3: Diversity across the lifespan in long-term recovery 10. Social and structural issues in recovery among migrants and ethnic minorities: an exploration of cultural competence and individual recovery perspectives ~ Charlotte De Kock and Aline Pouille 11. Transitions in long-term recovery: mapping adolescent development theory to better understand identity change in recovery ~ Lucy Webb, Amanda Clayson and Nigel Cox 12. Care, continuity and change in long-term recovery: the experiences of older opioid users in long-term recovery in three German regions ~ Ines Arendt 13. When long-term recovery isn’t an option: people at the end of life ~ Sam Wright and Gemma Yarwood 14. Conclusion: Critical reflections, theories and key messages ~ Sarah Galvani, Alastair Roy and Amanda Clayson

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Book SynopsisExtensively revised and updated to serve today's needs for insight and solutions to the most vexing ethical and regulatory problems faced by researchers today, Planning Ethically Responsible Research, Second Edition guides readers through one of the most important aspects of their social or behavioral research: planning ethically responsible research. Authors Joan E. Sieber and Martin B. Tolich offer invaluable, practical guidance to researchers and graduate students to understand ethical concerns within real-life research situations, satisfy federal regulations governing human research, and work with the university's Institutional Review Board (IRB). The book includes an abundance of useful tools: detailed instructions on development of an effective IRB protocol; methods for handling issues of consent, privacy, confidentiality and deception; ways to assess risk and benefit to optimize research outcomes; and how to respect the needs of vulnerable research populations.Trade Review"Two important aspects covered in this text are the ethical considerations in qualitative research methodologies, and the attention that is needed in University Research Ethics Committees to understanding and addressing these methodologies." -- Dorothy Ettling"I particularly enjoyed the energetic and experienced tone of these writers and their willingness to take a stance...The chapters in the second half of the book on consent, confidentiality and autoethnography have thoughtful coverage of qualitative research issues. Equally welcome is their attempt to come up with constructive solutions rather than to simply criticize...The authors have established record in developing an evidence base on human research ethics and I shall be bringing their final chapter, with its ‘Ten Simple Solutions for Making Ethics Review a Learning Institution’, to my own ethics committee." -- Sally Holland * Qualitative Research (QRJ) *Table of ContentsChapter 1. Introduction: Research Governance and Research Ethics Chapter 2. Why We Need Ethics: Assessing Vulnerability, Risk and Benefit Chapter 3. The Relevance of Ethical Theory to IRB Chapter 4. A Retrospective IRB Review: Rehabilitating Milgram, Zimbardo and Humphreys Chapter 5. Journalist Ethics Does Not Equal Social Scientists Ethics Chapter 6. Community-Engaged Research and Ethnography: Extreme Misfits with the Medical Model Chapter 7. Communicating Informed Consent and Process Consent Chapter 8. Degrees of non-Disclosure Chapter 9. Strategies for Assuring Confidentiality Chapter 10. The Ethics for the Invisible, Powerless and Vulnerable Research Assistant Chapter 11. Why IRBs Have an Important Place: The Autoethnographic Experiment Chapter 12. Evidence-Based Ethical Problem Solving: A Research Agenda Chapter 13. Making Ethics Review a Learning Institution: Ten Simple Suggestions

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Book SynopsisQuantitative criminology has certainly come a long way since I was ?rst introduced to a largely qualitative criminology some 40 years ago, when I was recruited to lead a task force on science and technology for the President''s Commission on Law Enforcement and Administration of Justice. At that time, criminology was a very limited activity, depending almost exclusively on the Uniform Crime Reports (UCR) initiated by the FBI in 1929 for measurement of crime based on victim reports to the police and on police arrests. A ty- cal mode of analysis was simple bivariate correlation. Marvin Wolfgang and colleagues were makingan importantadvancebytrackinglongitudinaldata onarrestsin Philadelphia,an in- vation that was widely appreciated. And the ?eld was very small: I remember attending my ?rst meeting of the American Society of Criminology in about 1968 in an anteroom at New York UniverTable of ContentsIntroduction I. Topics in Research Design 1). Experiments - trials 2). Experiments - block/randomized and subgroup 3). Propensity scores 4). Regression discontinuity designs 5) Quantitative and Qualitative Data 6) Statistical power II) Methods for Overcoming Data Limitations 7) Data reliability and data comparisons 8) Missing data III) Innovative Descriptive Methods 10) Geographic mapping of crime 11) Visualizing data 12) Trajectories 13) Growth curve models IV) Estimation Techniques for Theory and Policy 14) Estimating Costs of Crime 15) Estimating treatment effects 16) Meta-analysis V) Topics in Multiple Regression 17) Instrumental variables 18) Multilevel modeling 19) Logic and related extensions 20) Count models VI) New Directions in Statistical Analysis 21) Geographic statistical analysis of crime 22) Data mining 23) Time series 24) Network analysis Conclusion

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Book SynopsisToday's social and behavioral researchers increasingly need to know: What do I do with all this data? This book provides the skills needed to analyze and report large, complex data sets using machine learning tools, and to understand published machine learning articles. Techniques are demonstrated using actual data (Big Five Inventory, early childhood learning, and more), with a focus on the interplay of statistical algorithm, data, and theory. The identification of heterogeneity, measurement error, regularization, and decision trees are also emphasized. The book covers basic principles as well as a range of methods for analyzing univariate and multivariate data (factor analysis, structural equation models, and mixed-effects models). Analysis of text and social network data is also addressed. End-of-chapter Computational Time and Resources sections include discussions of key R packages; the companion website provides R programming scripts and data for the book's examples.Trade Review"Current, highly informative, and useful, this is a 'go-to' book for social science graduate students, faculty, and practitioners seeking a strong introduction to machine learning. Unlike typical, more technical machine learning books, this one is unique in providing the strong psychological measurement guidance required to apply these techniques most appropriately. It walks the reader through general principles of machine learning, regression- and tree-based predictive models, text- and network-based methods of clustering, and--most innovatively--machine learning–based psychometric approaches (CFA and SEM)."--Fred Oswald, PhD, Professor and Herbert S. Autrey Chair in Social Sciences, Department of Psychological Sciences, Rice University "This book is very timely. Social scientists need to be educated about the pros and cons of machine learning methods and about how, when, and why these methods can be applied to their research topics. The book describes key techniques in enough detail to enable readers to subsequently digest more specialized journal articles or software applications, but not in so much detail as to lose momentum."--Sonya K. Sterba, PhD, Department of Psychology and Human Development, Vanderbilt University "Jacobucci, Grimm, and Zhang's ambitious book takes the reader on an in-depth tour of machine learning methods. Its strength is that the authors link machine learning to more traditional topics of regression, structural equation modeling, factor analysis, and network analysis methods. This book should be required reading for the new generation of psychology graduate students who are interested in more advanced quantitative methods."--James W. Pennebaker, PhD, Regents Centennial Professor of Liberal Arts and Professor of Psychology, The University of Texas at Austin ​"A 'must read' for social scientists who want to familiarize themselves with machine learning but don’t know where to start. Understanding the practices and principles of machine learning is fundamental to modern data analysis. Many social scientists will be surprised by how well their traditional statistical training has prepared them to grasp the material in the book."--Alexander Christensen, PhD, Department of Psychology and Human Development, Vanderbilt University-Table of ContentsI. Fundamental Concepts 1. Introduction - Why the Term Machine Learning? - Why do We Need Machine Learning? - How is this Book Different? - Definitions - Software - Datasets 2. The Principles of Machine Learning Research - Overview - Principle #1: Machine Learning is Not Just Lazy Induction - Principle #2: Orienting Our Goals Relative to Prediction, Explanation, and Description - Principle #3: Labeling a Study as Exploratory or Confirmatory is too Simplistic - Principle #4: Report Everything - Summary 3. The Practices of Machine Learning - Comparing Algorithms and Models - Model Fit - Bias-Variance Tradeoff - Resampling - Classification - Conclusion II. Algorithms for Univariate Outcomes 4. Regularized Regression - Linear Regression - Logistic Regression - Regularization - Rationale for Regularization - Alternative Forms of Regularization - Bayesian Regression - Summary 5. Decision Trees - Introduction - Decision Tree Algorithms - Miscellaneous Topics 6. Ensembles - Bagging - Random Forests - Gradient Boosting - Interpretation - Empirical Example - Important Notes - Summary III. Algorithms for Multivariate Outcomes 7. Machine Learning and Measurement - Defining Measurement Error - Impact of Measurement Error - Assessing Measurement Error - Weighting - Alternative Methods - Summary 8. Machine Learning and Structural Equation Modeling - Latent Variables as Predictors - Predicting Latent Variables - Using Latent Variables as Outcomes and Predictors - Can Regularization Improve Generalizability in SEM? - Nonlinear Relationships and Latent Variables - Summary 9. Machine Learning with Mixed-Effects Models - Mixed-Effects Models - Machine Learning with Clustered Data - Regularization with Mixed-Effects Models - Illustrative Example - Additional Strategies for Mining Longitudinal Data - Summary 10. Searching for Groups - Finite Mixture Model - Structural Equation Model Trees - Summary IV. Alternative Data Types 11. Introduction to Text Mining - Key Terminology - Data - Basic Text Mining - Text Data Preprocessing - Basic Analysis of the Teaching Comment Data - Sentiment Analysis - Topic Models - Summary 12. Introduction to Social Network Analysis - Network Visualization - Network Statistics - Basic Network Analysis - Network Modeling - Summary References

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Book SynopsisSocial Network Analysis: Methods and Examples prepares social science students to conduct their own social network analysis (SNA) by covering basic methodological tools along with illustrative examples from various fields. This innovative book takes a conceptual rather than a mathematical approach as it discusses the connection between what SNA methods have to offer and how those methods are used in research design, data collection, and analysis. Four substantive applications chapters provide examples from politics, work and organizations, mental and physical health, and crime and terrorism studies.Trade Review"In the growing literature on social networks, Social Network Analysis: Methods and Examples stands out for the authors′ ability to introduce readers to key network theoretical concepts, methodology, and applications in a variety of fields in a very accessible and clear fashion." -- Renato Corbetta"An excellent introduction to the emerging field of social networks, providing the foundation to become engaged in the practice of social network analysis." -- Scott A. Comparato"The book offers a series of vivid examples to demonstrate the utilities of network analysis in a variety of contexts—that is something valuable and that separates this book from others." -- Weihua An"This is a solid introductory text that illustrates the value of social network analysis in a multiple contexts." -- Tim J. AndersonTable of ContentsPreface About the Authors Chapter 1: Basics of Social Network Analysis 1.1 Introduction 1.2 The Social Network and How to Represent It 1.3 Types of Networks 1.4 Network Parts and Levels of Analysis 1.5 Networks as Social Structure and Institution 1.6 Theoretical Assumptions 1.7 Causality in Social Network Studies 1.8 A Brief History of Social Network Analysis Chapter 2: Data Collection 2.1 Boundary Specification 2.2 Data Collection Process 2.3 Informant Bias and Issue of Reliability 2.4 Archival Data Chapter 3: Descriptive Methods in Social Network Analysis 3.1 Graph and Matrix–Social Network Representation 3.2 Density 3.3 Centrality, Centralization, and Prestige 3.4 Cliques 3.5 Multidimensional Scaling (MDS) and Dendogram 3.6 Structural Equivalence 3.7 Two-Mode Networks and Bipartite Matrix Chapter 4: Inferential Methods in Social Network Analysis 4.1 Permutation and QAP (Quadratic Assignment Procedure) Correlation 4.2 P* or Exponential Random Graph Model (ERGM) Chapter 5: Social Network Analysis of Work and Organizations 5.1 Personal Connections and Labor Market Processes 5.2 Intra-Organizational Networks 5.3 Inter-Organizational Relations Chapter 6: Social Network Analysis in Crime and Terrorism 6.1 Personal Networks, Delinquency, and Crime 6.2 Neighborhood Networks 6.3 Criminal Networks 6.4 Analyzing Social Networks of Terror Chapter 7: Social Network Analysis in Emotional and Physical Health 7.1 Social Network Analysis and Emotional Health 7.2 Social Network Analysis in Physical Fitness 7.3 Social Network Analysis and Illicit Drug Use 7.4 Social Network Analysis and Sexually Transmitted Disease Chapter 8: Political Networks 8.1 American Politics 8.2 Networks in International Relations Glossary References Index

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Book Synopsis The Alexandria Project is the true story of how researchers from five universities and organizations went to Egypt to put the claims of a psychic ability known as Remote Viewing to the ultimate test. Was it possible, under rigorously controlled conditions, for some part of the human mind to locate and describe ancient sites known to exist, but now lost to history? How good was Remote Viewing when compared with electronic remote sensing technologies traditionally used by archaeologists? This book, and the research papers and film that accompany it, provides the surprising answers.  

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Book SynopsisEvaluation: A Systematic Approach is the bestselling comprehensive introduction to the field of programme evaluation, covering the range of evaluation research activities used in appraising the design, implementation, effectiveness and efficiency of social programmes. This Eighth Edition includes a new practical chapter on planning an evaluation.Trade Review"As a professor and a program evaluator, I find that these authors present a realistic, pragmatic view of program evaluation. Clearly presented, these authors use the same language I use with clients, which helps to ease students′ transition to the workplace." As a professor and a program evaluator, I find that these authors present a realistic, pragmatic view of program evaluation. Clearly presented, these authors use the same language I use with clients, which helps to ease students′ transition to the workplace. -- Leslie Eaton * Survey *"The eighth edition of Evaluation: A Systematic Approach continues to offer broad instruction in program evaluation concepts, methods, and practice from planning to communicating results. The addition of critical thinking and discussion questions provide the opportunity for classroom discussion as well as application of concepts. I recommend this text for use with master′s and doctoral level students." -- Nancy Bridier"The 8th edition of Evaluation: A Systematic Approach covers the essentials of evaluation extremely well, serves as a guide for development of specific approaches of evaluation, and enhances the critical thinking of students." -- David Pugh"Evaluation: A Systematic Approach, 8th edition is a wonderful resource for professional degree students as well as providing a practical component for students taking a practicum class." -- Raven Brown"The authors do a phenomenal job of unpacking complex terms and ideas, making this reading accessible to learners." -- Jessica Wendorf"An earlier version of this text was useful to me as an evaluation student. This revised version will ensure that today′s students will have an invaluable resource that clearly communicates both what is unique about our field while also introducing the range of approaches and methods that evaluators may use." -- Melissa Haynes"An excellent and concise book defining the systematic approach to program evaluation. A best resource for both students and researchers." -- Anil Kumar ChaudharyTable of ContentsPreface Acknowledgements About the Authors 1. What Is Program Evaluation and Why Is It Needed? 2. Social Problems and Assessing the Need for a Program 3. Assessing Program Theory and Design 4. Assessing Program Process and Implementation 5. Measuring and Monitoring Program Outcomes 6. Impact Evaluation: Isolating the Effects of Social Programs in the Real World 7. Impact Evaluation: Comparison Group Designs 8. Impact Evaluation: Design With Strict Controls on Program Acess 9. Detecting, Interpreting, and Exploring Program Effects 10. Assessing the Economic Efficiency of Programs 11. Planning an Evaluation 12. The Social and Political Context of Evaluation Glossary References Author Index Subject Index

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Book SynopsisIn the past, happiness studies has been dominated by the work of philosophers, economists and psychologists, but more recently there has been a growing interest from social scientist into the natures of happiness and wellbeing. This original collection draws on the latest empirical research to explore the practical challenges facing happiness researchers today, such as how to conduct happiness research in different cultural contexts, how to theorise wellbeing or how to operationalise definitions of happiness in qualitative and biographical research. By uniquely combining the critical approach of sociology with techniques from other disciplines, the contributors illuminate new approaches to the study of happiness and well-being.Table of ContentsChapter 1. Introduction: Developing Qualitative Research into Happiness and Wellbeing - Mark Cieslik, Northumbria University Qualitative Research into Happiness/Wellbeing: Theories, Debates and Issues Chapter 2. Living Well Together: On Happiness, Social Goods and Genuinely Progressive Sociology - Neil Thin Chapter 3. Happiness as an Affective Practice: Self, Suffering and Biography - Nicholas Hill Chapter 4. Personal Happiness, Social Unhappiness: Understanding the Tomplexity of Individual Happiness Accounts - David Tross Qualitative Research into Happiness/Wellbeing: Communities, Biographies and Identities Chapter 5. Developing a Biographical Approach to Happiness and Wellbeing - Mark Cieslik Chapter 6. Considering the Body in Happiness Research - Richard Gibbons Chapter 7. How can Cultural Heritage Contribute to Community Development and Wellbeing - Claire Wallace and David Beel Chapter 8. On Post-Traumatic Growth and ‘Choosing’ to be Happy: Stories of Positive Change from African Refugees and Asylum Seekers -Brianne Wenning Chapter 9. Using Social Wellbeing to Inform Regeneration Strategies in a Former Colliery Town in Northern England - Kelly Johnson and Sarah Coulthard Qualitative Research into Happiness/Wellbeing: Methodological Innovations Chapter 10. A Board Game Approach to Studying the Multi-dimensionality of Life Satisfaction - Barbara Holthus and Wolfram Manzenreiter Chapter 11. Show Me What Makes you Happy at Work’? Visualising Happiness in the Workplace - Ilona Suojanen

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Book SynopsisAt a time of contested realities and a renewed focus on the power of personal stories, narrative research is as relevant as ever. But while it has been praised for ‘giving voice’ to individuals and highlighting how they make sense of the social world, critics are starting to question which voices are being heard, or allowed to speak, and which experiences are made to count. Supported by the editors’ popular podcast Narrative Now, this interdisciplinary volume addresses timely concerns about representation, power, voice, and the ethics of storytelling. Contributors explore the capacities and limitations of narrative research, and map out new directions for the field while honouring its legacy.Table of ContentsForeword – Rachel Thomson 1. Narrative Now: Trends and Tensions - Ashley Barnwell and Signe Ravn Part 1: Institutional Authority and Counter-Stories 2. Telling Stories with Ribbons: Visual Acknowledgment in the Wake of Child Sexual Abuse - Dave McDonald 3. Policy Narratives and Policy Change: The Case of Pill Testing - Martin Bortz 4. The Criminalised Other as Storyteller: The Promise and Peril of Bringing ‘Lived Experience’ into the Classroom - Diana Johns Part 2: Tellable and Untellable Stories 5. Ethical Weaving: Creative Narrations of Family Trauma and Resilience - Wajeehah Aayeshah 6. ‘I can’t believe how much I've done’: Joan and The Evolution of Her Life Story - Nikki Henningham Part 3: The Ethics of Representation 7. Songs as Narratives: Ethical Tensions in Midnight Oil’s Dead Heart (1986) and Gadigal Land (2020) - Liz Dean 8. Reading Back as a Way to Give Back? A Narrative Practice-informed Method for Interview-based Research - Sarah Strauven 9. Narrating Women's Life Histories: Voice, Audience, Ethics - Rachael Diprose 10. Narrative Next: Ways Forward for Narrative Research - Ashley Barnwell and Signe Ravn

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Book SynopsisFraming research as the process of asking and answering questions, this book demonstrates how to identify good research questions and how to structure and explore them successfully. Whether you are just beginning your research journey or are a seasoned traveller, it helps you: • Decide what you want to achieve with your research • Know what options you have to explore your goals • Navigate the nuances of different research approaches • Understand the decisions of other researchers • Choose what path best suits your project. Through real-life examples demonstrating different types of research, the book introduces qualitative, quantitative, and mixed methods approaches so you can compare different methods at every stage of the research process, from initial idea and design to data collection and analysis. This new edition includes new chapters on collecting and analysing mixed methods data, and additional content on qualitative data analysis. New examples reflect the cultural and global diversity of social research, and extra visual aids and summaries support understanding of key research concepts and stages. The book is accompanied by an online teaching guide, including videos, additional case studies, annotated articles, and critical thinking exercises.Trade Review"This is a must-have. Sigmund Grønmo′s book provides a comprehensive and accessible introduction to contemporary social research approaches, designs and methods. This second edition includes timely and valuable new materials; particularly those on comparisons and combinations when collecting and analysing data. Like the first edition, this one will go straight to my reference bookshelf ... and onto all my major course reading lists." -- Conor Galvin"Research methods manuals are often too technical and devoid of any real-life examples. This book however provides a rather apt account of society and contextualises the use of research methods in a rather effective manner. " -- Olga VerveriStudying children and youth has never been more important than today and Sigmund Gronmos′ Social Research Methods (2nd edition) is the text I use to introduce my students on the chronological and methodological hows and whys of doing research. Not only are ethical considerations included, but also Gronmos has two engaging and well-written chapters on asking and answering questions in new areas of child research as well tips for teaching my students how to present research once their assignments are completed. Social Research Methods lays the foundation for my students to continue working on their research topics in fourth-year independent and post-graduate studies. -- Christine LeiThis second edition remains an important resource for students. Everything is covered! From asking the right questions to learning about using digital tools or developing different ways of writing and presenting research. Extra resources in each chapter, including contemporary case studies, will equip students with everything they need to know about doing social research. -- Ruth McAreaveyTable of ContentsPart I Researching Society Chapter 1 How and why we study society Chapter 2 Methods and methodologies in social science Chapter 3 The ethics and politics of research Part II Designing Social Research Chapter 4 Creating research questions Chapter 5 Doing a literature review Chapter 6 Choosing a research design Chapter 7 Finding sources and data Chapter 8 Sampling Part III Data Collection and Data Quality Chapter 9 Ethnography and participant observation Chapter 10 Structured observation Chapter 11 Unstructured interviews and focus groups Chapter 12 Questionnaires and surveys Chapter 13 Documentary sources and qualitative content analysis Chapter 14 Quantitative content analysis Chapter 15 Collecting qualitative and quantitative data: Comparisons and combinations Chapter 16 Data quality, reliability and validity Part IV Data Analysis Chapter 17 Qualitative data analysis: Coding, categorization and concept development Chapter 18 Qualitative data analysis: Typologies, hypotheses and holistic understanding Chapter 19 Quantitative data analysis: Indexes and distributions Chapter 20 Quantitative data analysis: Relationships between variables Chapter 21 Generalizing empirical findings Chapter 22 Analyzing qualitative and quantitative data: Comparisons and combinations Part V Asking and Answering Questions in Social Science Chapter 23 Description, explanation and understanding Chapter 24 Time, space and level Chapter 25 Relations, networks and structures Chapter 26 Big data and computational social science Part VI Writing and Presenting Research Chapter 27 Working with data visualization Chapter 28 Writing about research

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Book SynopsisHow can you transform a spreadsheet of numbers into a clear, compelling story that your audience will want to pass on? This book is a step-by-step guide (honed through the authors′ Guardian masterclasses, workshops and seminars) to bringing data to life through visualisations, from static charts and maps to interactive infographics and motion graphics. Introducing a four-step framework to creating engaging and innovative visualisations, it helps you to: · Find the human stories in your datasets · Design a visual story that will resonate with your audience · Make a clear, persuasive visual that represents your data truthfully · Refine your work to ensure your visual expresses your story in the best possible way. This book also includes a portfolio of best-practice examples and annotated templates to help you choose the right visual for the right audience, and repurpose your work for different contexts.Trade ReviewThis is an enjoyable and informative read from four premier data visualisation experts. Grounded in their award-winning practice and teaching, the authors offer concrete strategies and a wealth of examples for anyone wishing to create intuitive and engaging data visualisations. -- Penny Sheets ThibautThe book is a refreshingly witty guide to data visualisation that entertains while it educates. It offers a clear and easy to follow process illustrated through a dizzying range of examples. It’s a great combination of design principles and real-world lessons learnt through actual projects. Fun, accurate, erudite and teeming with useful nuggets of information - very much like some of their best data visualisations! -- Emma WhiteheadTable of ContentsIntroduction: Notes from the Underground Part 1: The Data Visualisation Process Chapter 1: Find, design, make, refine Chapter 2: A spectrum of right answers Chapter 3: Find Chapter 4: Designing Static Graphics Chapter 5: Making Static Graphics Chapter 6: An Introduction to Interactive Data Visualisation Chapter 7: Designing Motion Graphics Chapter 8: Making Motion Graphics Chapter 9: Designing Interactive Infographics Chapter 10: Making Interactive Infographics Chapter 11: Refine Chapter 12: Resources Part 2: Finding the Right Chart For Your Story

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Book SynopsisRelevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs. Gradually introducing applied statistics and the language and functionality of R and R Studio software, it uses examples from across the social sciences to show students how to apply abstract statistical and methodological principles to their own work. Maintaining a student-friendly pace, it goes beyond a normal introductory statistics book and shows students where data originates and how to: - Understand and use quantitative data to answer questions - Approach surrounding ethical issues - Collect quantitative data - Manage, write about, and share the data effectively Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives students not only the tools they need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what they have learned. Table of ContentsIntroduction Introduction To R And R Studio Finding Data Data Management Variables And Manipulation Developing Hypotheses Univariate And Descriptive Statistics Data Visualisation Hypothesis Testing Bivariate Analysis Linear Regression And Model Building OLS Assumptions And Diagnostic Testing Generalised Linear Models Count Models Putting It All Together

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Book SynopsisThis book introduces researchers and students to the concepts and generalized linear models for analyzing quantitative random variables that have one or more bounds. Examples of bounded variables include the percentage of a population eligible to vote (bounded from 0 to 100), or reaction time in milliseconds (bounded below by 0). The human sciences deal in many variables that are bounded. Ignoring bounds can result in misestimation and improper statistical inference. Michael Smithson and Yiyun Shou′s book brings together material on the analysis of limited and bounded variables that is scattered across the literature in several disciplines, and presents it in a style that is both more accessible and up-to-date. The authors provide worked examples in each chapter using real datasets from a variety of disciplines. The software used for the examples include R, SAS, and Stata. The data, software code, and detailed explanations of the example models are available on an accompanying website.Trade ReviewThis book provides a thorough and accessible look at an important class of statistical models. It communicates intuition well and shows through numerous examples that understanding how to analyze bounded outcome variables is useful for applied researchers. -- Jeff HardenThe authors are leaders in the world-wide effort to extend and tailor the generalized linear model to variables that are bounded and not normally distributed. The discussion of models for data recorded as proportions is worth the price of admission. -- Paul JohnsonTable of Contents1. Introduction and Overview Overview of this Book The Nature of Bounds on Variables The Generalized Linear Model Examples 2. Models for Singly-Bounded Variables GLMs for singly-bounded variables Model Diagnostics Treatment of Boundary Cases 3. Models for Doubly-Bounded Variables Doubly-Bounded Variables and \Natural" Heteroskedasticity The Beta Distribution: Definition and Properties Modeling Location and Dispersion Estimation and Model Diagnostics Treatment of Cases at the Boundaries 4. Quantile Models for Bounded Variables Introduction Quantile regression Distributions for Doubly-Bounded Variables with Explicit Quantile Functions The CDF-Quantile GLM 5. Censored and Truncated Variables Types of censoring and truncation Tobit models Tobit Model Example Heteroskedastic and Non-Gaussian Tobit Models 6. Extensions and Conclusions Extensions and a General Framework Absolute Bounds and Censoring Multi-Level and Multivariate Models Bayesian Estimation and Modeling Roads Less Traveled and the State of the Art References

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Book SynopsisThis step-by-step introduction to conducting media and communication research offers practical insights along with the author’s signature lighthearted style to make discussion of qualitative and quantitative methods easy to comprehend. The Fifth Edition of Media and Communication Research Methods includes a new chapter on discourse analysis; expanded discussion of social media, including discussion of the ethics of Facebook experiments; and expanded coverage of the research process with new discussion of search strategies and best practices for analyzing research articles. Ideal for research students at both the graduate and undergraduate level, this proven book is clear, concise, and accompanied by just the right number of detailed examples, useful applications, and valuable exercises to help students to understand, and master, media and communication research. Table of ContentsPreface to the Fifth Edition Acknowledgements Introduction Round Up the Usual Suspects Applying the Focal Points Model to Media How I Became a Man without Quantities Date Man versus Date-Free Man Kinds of Questions Researchers Ask Conclusions of a Man without Quantities, Who Is also a Practicing Theoretician Introduction: Applications and Exercises I. GETTING STARTED 1. What Is Research? We All Do Research, All the Time Scholarly Research Is Different From Everyday Research Cultural Studies and Research Nietzsche on Interpretation Problem of Certainty Diachronic and Synchronic Research The Way the Human Mind Works Overt and Covert Oppositions Thinking Fast and Slow Quantity and Quality in Media Research Media and Communication Why a Book That Teaches Both Methodologies? Considering Research Topics What Is Research? Applications and Exercises Conclusions Further Reading 2. The Research Process Search Strategies Sources of Information How to Read Analytically Critical Thinking Critical Thinking as Defined by the National Council for Excellence in Critical Thinking, 1987 Doing a Literature Review Primary and Secondary Research Sources Searching on the Internet (or “Find the Info if You Can!”) Using the Internet to Conduct Research Analyzing Methodology in Research Articles The Research Process: Applications and Exercises Conclusions Further Reading II. METHODS OF TEXTUAL ANALYSIS 3. Semiotic Analysis Saussure’s Division of Signs into Signifiers and Signifieds Semiotics of Blondeness Semiotics and Society Peirce’s Trichotomy: Icon, Index, And Symbol Allied Concepts Foucault on Codes and Cultural Change Marcel Danesi on Codes and Culture Clotaire Rapaille on Culture Codes Semiotics in Society: A Reprise Syntagmatic Analysis of Texts Paradigmatic Analysis of Texts Applications of Semiotic Theory Paul Ekman on Facial Expression Semiotics: Applications and Exercises Conclusions Further Reading 4. Rhetorical Analysis Aristotle on Rhetoric Rhetoric and the Mass Media A Brief Note on the Communication Process Certeau on Subversions by Readers and Viewers Applied Rhetorical Analysis A Miniglossary of Common Rhetorical Devices Other Considerations When Making Rhetorical Analyses A Sample Rhetorical Analysis: A La Mer Advertisement Rhetorical Analysis of the Visual Image Images in Narrative Texts Gangsta Rap and American Popular Culture Rhetorical Analysis: Applications and Exercises Conclusions Further Reading 5. Ideological Criticism Mannheim’s Ideology and Utopia Defining Ideology Marxist Criticism Roland Barthes on Mythologies The Problem of Hegemony The Base and the Superstructure, False Consciousness, and the “Self-Made Man and Woman” Post-Soviet Marxist Criticism Society of the Spectacle Basic Ideas in Marxist Criticism A Marxist Interpretation of the Fidji “Snake” Advertisement John Berger on Glamour Identity Politics Feminist Criticism of Media and Communication The Social Conception of Knowledge Phallocentric Theory: The Physical Basis of Male Domination Political Cultures, the Media, and Communication Pop Cultural and Media Preferences of the Four Political Cultures Marxist Perspectives on Social Media A Preview of Critical Discourse Analysis Ideological Criticism: Applications and Exercises Conclusions Further Reading 6. Psychoanalytic Criticism Freud’s Contribution Smartphones and the Psyche: Applying the Theories of Erik Erikson Smartphones and the Self Neuropsychoanalysis: Freud and Neuroscience Jungian Theory Psychoanalytic Criticism: Applications and Exercises Conclusions Further Reading 7. Discourse Analysis Defining Discourse Analysis Teun A. Van Dijk on Discourse Analysis Spoken and Written Discourse Styles and Written Discourse Political Ideologies and Discourse Analysis Critical Discourse Analysis Advertising and Critical Discourse Analysis Multimodal Discourse Analysis Multimodal Critical Discourse Analysis Fashion and Discourse Analysis A Multimodal Critical Discourse Analysis of an Advertisement Discourse Analysis: Applications and Exercises Conclusions Further Reading III. QUALITATIVE RESEARCH METHODS 8. Interviews The Prisoner Interviews Number Two What Is an Interview? Four Kinds of Research Interviews Why We Use Interviews How to Interview People Kinds of Questions Questions Investigative Reporters Ask The Structure of Conversations and Interviews Transcribing Recorded Interviews Making Sense of Transcribed Interviews Coding Problems with Interview Material Interviews: Applications and Exercises Conclusions Further Reading 9. Historical Analysis What Is History? History as Metadiscipline or Specialized Subject Is History Objective, Subjective, Or A Combination Of The Two? The Importance of Fernand Braudel Kinds of Historical Research The Problem of Writing History The Problem of Meaning Historical Periods Baudrillard and Jameson on Postmodernism Postmodernism and Historiography The Historical and the Comparative Approach History Is an Art, Not a Science Doing Historical Research Historical Analysis: Applications and Exercises Conclusions Further Reading 10. Ethnomethodological Research Defining Ethnomethodology Garfinkel’s Ingenious and Mischievous Research Norbert Wiley’s Interesting Perspective on Harold Garfinkel Using Ethnomethodology in Media and Communication Research Metaphors and Motivation Love Is a Game Humorists as Code Violators Techniques of Humor Ethnomethodology and the Communication Process Ethnomethodological Research: Applications and Exercises Conclusions Further Reading 11. Participant Observation Defining Participant Observation Significant Considerations When Doing Participant Observation A Case Study of Participant Observation: Readers of Romance Novels Problems with Participant Observation Benefits of Participant Observation Studies Making Sense of Your Findings Writing up A Participant Observation Study An Ethical Dilemma Ethics and Research Involving Humans Participant Observation: Applications and Exercises Conclusions Further Reading IV. QUANTITATIVE RESEARCH METHODS 12. Content Analysis Defining Content Analysis Why We Make Content Analyses Methodological Aspects of Content Analysis Aspects of Violence Advantages of Content Analysis as a Research Method Difficulties in Making Content Analyses Content Analysis Step-By-Step Content Analysis: Applications and Exercises A Cautionary Note from Denis McQuail Conclusions Further Reading 13. Surveys Defining Surveys Kinds of Surveys: Descriptive and Analytic The VALS Typology Survey Methods of Data Collection Advantages of Survey Research Problems with Surveys Surveys and the 2012 Presidential Election Surveys and the 2016 Presidential Election A Note on Media Usage Surveys: Shares and Ratings Open-Ended and Closed-Ended Survey Questions Writing Survey Questions Making Pilot Studies to Pretest Surveys Conducting Online Surveys Samples Obtaining Random Samples Evaluating Survey Accuracy Surveys: Applications and Exercises Conclusions Further Reading 14. Experiments Everyday Experimentation Defining Experiments The Structure of an Experiment The Hawthorne Effect Advantages of Experiments Disadvantages of Experiments The “Black Rats” Case and Experimental Fraud A Checklist on Experimental Design What’s An Experiment and What Isn’t? Ethics and the Facebook Experiment Experiments: Applications and Exercises Conclusions Further Reading 15. A Primer on Descriptive Statistics Levels of Measurement Descriptive Statistics Measures of Central Tendency Measures of Dispersion The Normal or Bell-Shaped Curve The Problem with Ratings A Cautionary Note on Statistics Using Statistics to Support a Claim Statistics and Comparisons Data on Media Use in America Smartphones The Problem of Interpretation Statistics and Problems Caused by Definitions Statistics: Applications and Exercises Conclusions Further Reading V. PUTTING IT ALL TOGETHER 16. Nineteen Common Thinking Errors Common Fallacies Conclusions Further Reading 17. Writing Research Reports Keeping a Journal A Trick for Organizing Reports Outlines, First Drafts, and Revisions Writing Research Reports The IMRD Structure of Quantitative Research Reports Writing Correctly: Avoiding Some Common Problems Academic Writing Styles A Checklist for Planning Research and Writing Reports Conclusions Further Reading Glossary References Author Index Subject Index About the Author

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Book SynopsisThis text provides a practical, hands-on introduction to data conceptualization, measurement, and association through active learning. Students get step-by-step instruction on data analysis using the latest version of SPSS and the most current General Social Survey data. The text starts with an introduction to computerized data analysis and the social research process, then walks users through univariate, bivariate, and multivariate analysis using SPSS. The book contains applications from across the social sciences—sociology, political science, social work, criminal justice, health—so it can be used in courses offered in any of these departments. The Eleventh Edition uses the latest general Social Survey (GSS) data, and the latest available version of SPSS. The GSS datasets now offer additional variables for more possibilities in the demonstrations and exercises within each chapter.Trade ReviewThis text has been a lifesaver! Although the material is challenging, I have been continually impressed with my student’s ability to come away from this course with the ability to perform their own (small) data analysis project in the final week using what they learned. . . . Many start with zero knowledge or experience with research, and in a very short time period are able to get up to speed with the terminology, and to sift through all of the various ‘rules’ of data analysis (which measures of association, tests of significance, etc. to use based on their variables) like pros. -- Kristie ViseTable of ContentsPart I Preparing for Data Analysis Chapter 1 Introduction: The Theory and Practice of Social Research Chapter 2 The Logic of Measurement Chapter 3 Description of Data Sets: The General Social Survey Part II Univariate Analysis Chapter 4 Using SPSS Statistics: Some Basics Chapter 5 Describing Your Data: Religiosity Chapter 6 Presenting Your Data in Graphic Form: Political Orientations Chapter 7 Recoding Your Data: Religiosity and Political Orientations Chapter 8 Creating Composite Measures: Exploring Attitudes Toward Abortion in More Depth Chapter 9 Suggestions for Further Analysis Part III Bivariate Analysis Chapter 10 Examining the Sources of Religiosity Chapter 11 Political Orientations as Cause and Effect Chapter 12 What Causes Different Attitudes Toward Abortion? Chapter 13 Measures of Association for Nominal and Ordinal Variables Chapter 14 Correlation and Regression Analysis Chapter 15 Tests of Significance Chapter 16 Suggestions for Further Bivariate Analyses Part IV Multivariate Analysis Chapter 17 Multiple Causation: Examining Religiosity in Greater Depth Chapter 18 Dissecting the Political Factor Chapter 19 A Powerful Prediction of Attitudes Toward Abortion Chapter 20 Suggestions for Further Multivariate Analyses Part V The Adventure Continues Chapter 21 Designing and Executing Your Own Survey Chapter 22 Further Opportunities for Social Research

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Book SynopsisContemporary science teaching approaches focus on fostering students to construct new scientific knowledge as a process of inquiry rather than having them act as passive learners memorizing stated scientific facts. Although this perspective of teaching science is clearly emphasized in the National Research Council's National Science Education Standards (NRC, 1996), it is however challenging to achieve in the classroom. Science teaching approaches should enhance students' conceptual understanding of scientific concepts which can be later utilized by students in deeper recognition of real world (Marsak & Janouskova, 2007). This book identifies and describes several different contemporary science teaching approaches and presents recent applications of these approaches in promoting interest among students. It promotes conceptual understanding of science concepts among them as well. This book identifies pertinent issues related to strategies of teaching science and describes best practice The chapters in this book are culmination of years of extensive research and development efforts to understand more about how to teach science by the distinguished scholars and practicing teachers.Table of ContentsTABLE OF CONTENTS PART I: STRATEGIES IN TEACHING SCIENCE. Science Teaching Approaches to Promote Conceptual Understanding in Science, Issa M. Saleh and Funda Ornek. Differentiating Science Pedagogy, Anila Asghar. The Metacognitive Science Teacher: A Statement for Enhanced Teacher Cognition and Pedagogy, Gregory P. Thomas. Teaching About Climate Change: An Action Research Approach, John Wilkinson. Constructivist, Analogical, and Metacognitive Approaches to Science Teaching and Learning, Samson M. Nashon and J. Douglas Adler. Concept Mapping and the Teaching of Science, Sadiah Baharom. Physics Modelling: An Approach Stimulates Students’ Conceptual Understanding of Scientific Concepts, Funda Ornek. PART II: USING COMPUTERS IN TEACHING SCIENCE. A Framework for the Integration of Technology into Science Instruction, Yilmaz Saglam and Servet Demir. Real-Time Experiments and Images (RTEI) as Open Learning Environments for Building Physics Knowledge, Giorgio Olimpo and Elena Sassi. Enhancing Asynchronous Learning in a Blended Learning Environment, Mun Fie Tsoi.

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Book SynopsisThe Statistical Abstract of the United States has provided a statistical portrait of social, political, demographic, and economic conditions of America since 1878. This 2020 edition continues the heritage begun so long ago by the U.S. government, with the U.S. Census Bureau being the last agency to produce the compendium at government expense. Now in our eighth annual edition, Rowman & Littlefield and ProQuest carry on the proud tradition and responsibility of creating the statistical portrait of America.Librarians value the Statistical Abstract as both an answer book and a guide to statistical sources. It is the best-known statistical reference publication in the country. As a comprehensive collection of statistics, it is a snapshot of America and its people. Our editors are committed to updating the long-standing, historical statistics as new data becomes available, as well as finding new topics to cover.

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Book SynopsisWitness True Resilience in These Incredible Survival Stories“Michael Tougias converts the wisdom of survivors into advice we can all use...” —Amanda Ripley, bestselling author of The Unthinkable: Who Survives When Disaster Strikes—and Why#1 New Release in Disaster ReliefExtreme Survival will have you on the edge-of-your-seat with truly amazing survival stories.New York Times bestselling author Michael Tougias has earned critical acclaim and literary awards for his many best-seller non-fiction narratives. Extreme Survival is the long-awaited follow-up to The Finest Hours, co-authored with Casey Sherman.Explore the stories and the causes of manmade disasters. To answer the question of why disasters happen and how some survive, Tougias interviewed over 100 people who survived against all odds, first chronicling their harrowing survival stories, and then discussing in detail lessons learned. Extreme Survival delivers the entertainment and exceptional research Michael Tougias fans expect.Understand resilience through the mindset of survivors. Surviving disasters requires survival techniques to kick in at the right moment. Learn what a person is capable of when under extreme pressure and facing imminent disaster.Inside find: Captivating and narrative survival stories told in true Tougias trademark style Analysis of major man-made disasters and the faulty decisions that led to them First-person accounts and detailed survival tactics that can apply to your every-day life If you like true survival books like The Greatest Survival Stories of All Time, Into Thin Air, The Gift of Fear, Into the Abyss, Deep Survival, or If I Live Until Morning, you’ll love Extreme Survival. Also don’t miss reading other Michael Tougais survival books, including Fatal Forecast, Ten Hours Until Dawn, A Storm Too Soon, and Overboard!Trade ReviewPraise for Books by Michael J. Tougias Extreme Survival: Lessons from Those Who Have Triumphed Against All Odds“Each page is filled with the amazing arc of a human spirit exceeding all bounds, yet returning us, as readers, to what it means to be wholly human, humane, selfless, yet aware of one’s self—call it identity, our authentic selves, a grasp of what’s meaningful in one’s life. Tougias’ reporting and storytelling has appeal for armchair adventurers, historians of the extreme, for parents and families, teachers, civic leaders, those in business, and all of us in leadership positions large or small, who ask, ‘How do I make the most of this moment?’ “ —Doug Stanton, #1 New York Times bestselling author of In Harm’s Way and Horse Soldiers“If you're clinging to a lifeboat, surrounded by sharks (figuratively or literally), what should you think about? Who should you ignore? What are the patterns of mind and heart that have helped Antarctic explorers, soldiers, lobster fishermen, and prisoners of war stay sane—and alive? Michael Tougias converts the wisdom of survivors into advice we can all use to light up the darkness.” —Amanda Ripley, bestselling author of The Unthinkable: Who Survives When Disaster Strikes—and Why“Tougias has chronicled examples of extreme survival in several books over the past 30 years. In researching such stories, Tougias realized it was more than luck that enabled these people to make it out alive.” —The Boston Globe“He's been keeping files about survivors, along with interview notes from about 70 survivors he interviewed, he explained. He also supplements the survivors he interviewed with survivors from history, from Antarctic explorer Ernest Shackleton to John McCain to Mary Rowlandson in King Philip’s War.“—Cape Cod Times“[Tougias] combines edge-of-your-seat stories with lessons learned and has a book that is both entertaining and inspiring.” —Wicked LocalThe Finest Hours: The True Story of the U.S. Coast Guard’s Most Daring Sea Rescue (co-authored with Casey Sherman) “A blockbuster account of tragedy at sea…gives a ‘you-are-there’ feel.” —The Providence Journal“A gripping read!” —James Bradley, author of Flags of Our Fathers Overboard! A True Bluewater Odyssey of Disaster and Survival“A heart-pounding account of the storm that tore apart a forty-five-foot sailboat. Author Michael Tougias is the master of the weather-related disaster book.” —The Boston Globe “Overboard is a beautiful story deserving of a good cry.” —Gatehouse News Service “Tougias has a knack for weaving thoroughly absorbing stories—adventure fans need this one! —Booklist Fatal Forecast: An Incredible True Tale of Disaster and Survival at Sea “A passionately recounted peril-at-sea adventure...described with excruciating intensity. A blustery seafarer's delight, rendered with gusto.” —Kirkus Reviews“Tougias spins a marvelous and terrifying yarn….this is a breathtaking book.” —Los Angeles Times “Tougias's terrifying tale will stun you…leaving you breathless, exhilarated, and finally amazed.” —The Providence Journal“Ernie Hazard’s experiences, as related by Tougias, deserve a place as a classic of sea survival history.”—The Boston Globe “Tougias spins a dramatic saga…. (He) has written eighteen books and this is among his most gripping.” —National Geographic Adventure Magazine Ten Hours Until Dawn “The best story of peril at sea since Sebastian Junger’s Perfect Storm. Superb!” —Booklist“What a story! Tougias’ research and writing make the reader feel as if they are onboard the Can Do during the Blizzard of ’78.” —Governor Michael Dukakis“An incredible tale of heroism and sacrifice.” —Nathaniel Philbrick, National Book Award WinnerSelected as an American Library Association as an Editor’s Choice and “Top Book of the Year”Ten Hours audio book won Audiofiles “Earphones Award” A Storm Too Soon“By depicting the event from the perspective of both the rescued and the rescuers and focusing only on key moments and details, Tougias creates a suspenseful, tautly rendered story that leaves readers breathless but well-satisfied. Heart-pounding action for the avid armchair adventurer.” —Kirkus Reviews“The riveting, meticulously researched A Storm Too Soon tells the true-life tale of an incredible rescue” —New York Post“Tougias deftly switches from heart-pounding details of the rescue to the personal stories of the boat’s crew and those of the rescue team. The result is a well-researched and suspenseful read.” —Publishers Weekly“Already a maven of maritime books with Overboard! and Fatal Forecast, Tougias cinches that title here. Working in the present tense Tougias lets the story tell itself, and what a story! Any one reading (A Storm Too Soon) will laud Tougias’ success.” —Providence JournalTable of ContentsContents Chapter One: The Power of Little Steps & Survivors Mindsets Chapter Two: Thinking of Others (The Need to Bear Witness, Thinking Outside Oneself) Chapter Three: Control, Reaction, Detach Chapter Four: Intuition Chapter Five: Help from Within & Beyond Chapter Six: Enduring: Pep Talks, Pats on the Back, and the Possibility of Luck Chapter Seven: Rapid Recognition vs. Denial Chapter Eight: Blinded by the Goal Chapter Nine: Question the Experts (Especially on Vacation!) Chapter Ten: Digging Deep for Options & Resourcefulness Chapter Eleven: Emotion & Adrenaline and the Advantages of Pausing & Reversibility Chapter Twelve: For as Long as It Takes Chapter Thirteen: Final Thoughts

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Book SynopsisNetwork Persistence and the Axis of Hierarchy shows how networks, modestly redefined as a strong, yet imperfect tendency for pairings to recur day after day, that is, stickiness, imply a singular axis of stratification. This is contrary to the nearly universal insistence that stratification is multidimensional. Reanalysis of three central mobility data sets sustains the novel claim. Network concepts provide a supple base for analysis whereby order and regularity are strongly sustained in network neighborhoods but are not necessarily uniform or universal. This provides new takes, often quite radical, on accounts of structure and order by authors such as Pierre Bourdieu, Randall Collins and Talcott Parsons.Table of ContentsList of Illustrations; Preface; Chapter One Sticky Struggles: The Unified Pattern of Social Ranks Inherent in Networks; Chapter Two Foundations of Cacophony; Chapter Three Knots of Regularity; Chapter Four Hierarchy: Inevitable but Inevitably Messy; Chapter Five The Inevitable Emergence of Stratification; Chapter Six Scaling Intergenerational Continuity: Is Occupational Inheritance Ascriptive After All?; Chapter Seven Taming the Mobility Table; Chapter Eight Is Occupational Mobility Declining in the United States?; Chapter Nine The Continuum of Class over Time: Deconstructing Imposed Class to Uncover Empirical Classes; Chapter Ten Concluding Reflections; Appendix: Why Robust Attraction Is (Effectively) Inevitable for Mobility Data; Index.

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Book SynopsisCOVID-19 may be an historical turning point for global capitalism. It has revealed the crisis of neoliberal globalization; however, this does not automatically lead to the ultimate defeat of capitalism or its neoliberal incarnation. The authors in this collection posit that a new framework cannot be built on the values and beliefs of current-day consumer capitalist society; resistance in the pandemic age should be based on the values and beliefs that could be the foundation of a new, postcapitalist society. This book formulates a tentative revolutionary program that could take advantage of the COVID-19 environment to defeat and transcend capitalism.

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Book Synopsis As US imperialism continues to dictate foreign policy, Deadly Contradictions is a compelling account of the American empire. Stephen P. Reyna argues that contemporary forms of violence exercised by American elites in the colonies, client state, and regions of interest have deferred imperial problems, but not without raising their own set of deadly contradictions. This book can be read many ways: as a polemic against geopolitics, as a classic social anthropological text, or as a seminal analysis of twenty-four US global wars during the Cold War and post-Cold War eras. Trade Review “This is an amazing book, a page-turner, a true game-changer, one of those grand oeuvres that an academic discipline produces once a decade at best.” • Patrick Neveling, Cultural Anthropology, Utrecht University “This book is certainly a tour de force … it [offers] a fresh theoretical approach that is rigorously tested in terms of evidence and against alternative interpretations … a profoundly critical work.” • John Gledhill, Social Anthropology, University of ManchesterTable of Contents Preface Acknowledgements Glossary Introduction PART I: THEORY Chapter 1. Global Warring Theory: A Critical Structural Realist Approach Chapter 2. Imperialism: ‘A Monster of Energy’ PART II: PLAUSIBILITY 1: NEW AMERICAN EMPIRE Chapter 3. A Real Shape Shifter: American Empire 1783-1944 Chapter 4. ‘Present at the Creation’: Constituting the New American Empire 1945-1950 PART III: PLAUSIBILITY 2: CONTRADICTION AND REPRODUCTION Chapter 5. Burdens of Empire: Contradictions and Reproductive Vulnerabilities PART IV: PLAUSIBILITY 3: GLOBAL WARRING Chapter 6. After the Sunset Came the Night: Global Warring, 1950-1974 Chapter 7. ‘The Times They Are A-Changin’: Global Warring, 1975-1989 Chapter 8. The Perfect Storm: A Tale of Two Elites Chapter 9. World Warring 1990-2014: The Middle Eastern Theater Chapter 10. World Warring 1990-2014: The Other Theaters Chapter 11. Journey’s End References Index

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Book SynopsisFeaturing contributions from the US, Europe and the UK, this edited collection addresses issues relating to research ethics and integrity when undertaking social research with older people and service users. Setting out practical insights and guidance, as well as addressing theoretical and philosophical aspects, this volume includes contributions from ‘researchers’, ’the researched’ and ‘those in between’ on topics including dementia, family carers, safeguarding and mental health with the common goal of producing high quality 'user' relevant research. Equipping readers with an understanding of how to move forward not only as researchers but also as consumers of research and citizens, Ethics and Integrity in Research with Older People and Service Users is a timely and insightful contribution to the Advances in Research Ethics and Integrity series.Table of ContentsForeword; Robin Webster Section 1. Views of the researchers Chapter 1. Theory and Practice of User Involved Research; Erin McGaffigan, Dani Skenadore Foster, Sophia Webber, and Missy Destrampe Chapter 2. Navigating Person-Centred Ethics: A Sensory Ethnographic Study Involving Older People Living With Dementia And Family Carers; Rahena Mossabir Chapter 3. Incorporating Older Adult Voice into Meaningful Research – ”It’s about time”; Amy R. Eisenstein, Rebecca L. H. Berman, and Katherine M. Abbott Chapter 4. Family Conflict in Dementia Caregiving: Maintaining Research Ethics and Integrity; Kelly Norwood and Mary Webster Chapter 5 - Ethical Issues in Research with Vulnerable People: A Case Study; Aideen Sheehan and Roger O’Sullivan Section 2. Views of the researched Chapter 6. Involving lay Members of the Public in Research - Reflections and Insights; Eiddwen Thomas and Shanaz Dorkenoo Chapter 7. Ethics, Integrity and Coproduction in Mental Health Research; Peter Bates and Andy Willis Section 3. Views from those in between Chapter 8. Research with Older Adults in American Indian Communities – Understanding Knowledge, Power, and Practice; Lyn M. Holley and Azusa Mokuta Chapter 9. Engaged Research as Team Research – Reflections from the “researcher” and the “researched”; Carol Reynolds Geary and Jeffrey Ordway Chapter 10. Trying the Patience of Patients: A Personal Reflection; Ron Iphofen

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Book SynopsisJust as newspapers do not, typically, engage with the ordinary experiences of people′s daily lives, so organizational studies has also tended largely to ignore the humdrum, everyday experiences of people working in organizations. However, ethnographic approaches provide in-depth and up-close understandings of how the ′everyday-ness′ of work is organized and how, in turn, work itself organizes people and the societies they inhabit. Organizational Ethnography brings contributions from leading scholars in organizational studies that serve to unpack an ethnographic perspective on organizations and organizational research. The authors explore the particular problems faced by organizational ethnographers, including: - questions of gaining access to research sites within organizations; - the many styles of writing organizational ethnography; - the role of friendship relations in the field; - problems of distance and closeness; - the doing of at-home ethnography; - ethical issues; - standards for evaluating ethnographic work. This book is a vital resource for organizational scholars and students doing or writing ethnography in the fields of business and management, public administration, education, health care, social work, or any related field in which organizations play a role.Trade ReviewThis timely collection constitutes essential reading for all organizational ethnographers interested in the ways in which their discipline is developing. Although it will primarily be used for reference on the basis of individual chapters, this is a well crafted text which maintains a strong narrative throughout Organization Journal Whether one′s background is in ethnography or organizations research, this volume is an excellent place to begin. With modest aims, it offers advice, guides, stories, and cautionary tales to which both students and experienced professionals can relate. Experienced researchers may find this book to be a useful teaching tool and occasional reference work. Highly recommended at all levels and to librariesCHOICE Magazine The volume offers a fine introduction to interdisciplinary research...the book is of tremendous value precisely because of its reformulation of classic and perennial issues and problems of ethnography in a new setting...This is more than enough reason to assign the book for both undergraduate and graduate coursesOpen Anthropology Cooperative The relationship between ethnography and the study of organizational settings is not an intuitive one, in that organizational ethnography is ‘a relatively new term’...The collection of essays contained in the book is successful in explaining what links the two, and why an ethnographic perspective on organizations, by engaging with the everyday experiences of people, may be a fruitful starting point for understanding work...Competent, informed and detailedWork, Employment and Society The editors have compiled a thought-provoking look at this method of research...The writing is vivid, engagingand humorous in places, using organizational ethnography itself as a means to illuminate the subject...Organizational Ethnography is an enjoyable read and an effective resource. It is helpful for researchers, students and practitioners in analyzing the culture of organizationsJournal of Occupational Science Table of ContentsStudying Everyday Organizational Life - Sierk Ybema, Dvora Yanow, Harry Wels and Frans Kamsteeg PART ONE: ETHNOGRAPHIC DOING AND WRITING Getting Going: Organizing Ethnographic Fieldwork - Kees van der Waal Ethnographic Practices: From ′Writing-up Ethnographic Research′ to ′Writing Ethnography′ - Michael Humphreys and Tony Watson Reading and Writing as Method: In Search of Trustworthy Texts - Peregrine Schwartz-Shea and Dvora Yanow When the ′Subject′ and the ′Researcher′ Speak Together: Co-producing Organizational Ethnography - Simon Down and Michael Hughes PART TWO: FAMILIARITY AND ′STRANGER-NESS′ Making the Familiar Strange: A Case for Disengaged Organizational Ethnography - Sierk Ybema and Frans Kamsteeg Zooming In & Zooming Out: A Package of Method and Theory to Study Work Practices - Davide Nicolini From Participant Observation to Observant Participation - Brian Moeran At-home Ethnography: Struggling with Closeness and Closure - Mats Alvesson PART THREE: RESEARCHER-RESEARCHED RELATIONSHIPS Lies from the Field: Ethical Issues in Organizational Ethnography - Gary Alan Fine and David Shulman ′But I Thought We Were Friends?′ Life Cycles and Research Relationships - Nic Beech, Paul Hibbert, Robert MacIntosh and Peter McInnes Critical Action Research and Organizational Ethnography - Chris Sykes and Lesley Treleaven Beyond Complicity: A Plea for Engaged Ethnography - Halleh Ghorashi and Harry Wels Annotated Bibliography Defining ′Organizational Ethnography′: Selection Criteria - Dvora Yanow and Karin Geuijen Bibliography - Karin Geuijen

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Book Synopsis Introducing Survival Analysis and Event History Analysis is an accessible, practical and comprehensive guide for researchers and students who want to understand the basics of survival and event history analysis and apply these methods without getting entangled in mathematical and theoretical technicalities. Inside, readers are offered a blueprint for their entire research project from data preparation to model selection and diagnostics. Engaging, easy to read, functional and packed with enlightening examples, ′hands-on′ exercises and resources for both students and instructors, Introducing Survival Analysis and Event History Analysis allows researchers to quickly master these advanced statistical techniques. This book is written from the perspective of the ′user′, making it suitable as both a self-learning tool and graduate-level textbook. Introducing Survival Analysis and Event History Analysis covers the most up-to-date innovations in the field, including advancements in the assessment of model fit, frailty and recurrent event models, discrete-time methods, competing and multistate models and sequence analysis. Practical instructions are also included, focusing on the statistical program R and Stata, enabling readers to replicate the examples described in the text. This book comes with a glossary, a range of practical and user-friendly examples, cases and exercises.Trade ReviewThis book is very useful for researchers and students in different scientific areas – social sciences and humanities, medicine, in general every science where studies measuring time changes in variables are conducted...As the author explains, this book is written from the perspective of an absolute beginner – comprehensible and with a lot of examples in the text, tables and graphs. It goes beyond an introductory textbook on this topic, because it presents not only non-parametric models, semi-parametric models, parametric models, model-building and model diagnostics, but it is focused also on some more recent techniques like frailty and recurrent event history models, discrete-time models, multistate models, competing risk analysis and sequence analysis...Everyone who would like to start with Survival and Event History analysis or to get more knowledge of Survival and Event History analysis could do this by reading this bookStanislava Yordanova Stoyanova Methodspace Table of ContentsThe Fundamentals of Survival and Event History Analysis Introduction: What Is Survival and Event History Analysis? Key Concepts and Terminology Censoring and Truncation Mathematical Expression and Relation of Basic Statistical Functions How Do the Survivor, Density and Hazard Function Relate? Why Use Survival and Event History Analysis? Overview of Survival and Event History Models Exercises Using R and Other Computer Programs for Survival and Event History Analysis Introduction: Computer Programs for Survival and Event History Analysis Conducting Serious Data Analysis: Life Lessons Why Use R? Downloading R on Your Personal Computer Add-On Packages Running R Determining and Setting your Working Directory Help and Documentation Importing Data Into R Working With Data: Opening and Accessing Variables from a Data Frame Saving Output as File, Workspace and History and Quitting R Exercises Your First Session: Using the Survival Package and Exploring Data Via Descriptive Statistics and Graphs Your First Session Using the ′Survival′ Package In F Loading and Examining the Survival Package and Rcmdrplugin.Survival Plug-In Opening and Examining Data The Surv Object: Packaging the ′Survival Variable′ Basic Descriptive Statistics Descriptive Data Exploration with Graphs Exercises Data and Data Reconstruction Introduction: Why Discuss Data and Data Preparation? Sources of Event History Data Single-Episode Data for Single Transition Analyses Multi-Episode Data for Recurrent Event and Frailty Analyses Subject-(Person)-Period Data for Discrete-Time Hazard Models The Counting Process and Episode Splitting A Note on Dates Exercises Non-Parametric Methods: Estimating and Comparing Survival Curves Using the Kaplan-Meier Estimator Introduction The Kaplan-Meier Estimator Producing Kaplan-Meier Estimates Plotting the Kaplan-Meier Survival Curve Testing Differences Between Two Groups Using Survdiff Stratifying the Analysis by a Covariate Exercises The Cox Proportional-Hazards Regression Introduction: Why is The Cox Model So Popular? The Cox Regression Model Estimating and Interpreting The Cox Model with Fixed Covariates The Cox Regression Model with Time-Varying Covariates Exercises Parametric Models Introduction: What are Parametric Models and Why Use Them? Proportional Hazards (Ph) Versus Accelerated Failure Time (Aft) Models The Path to Choosing a Model Estimating and Interpreting Parametric Survival Models Exponential and Piecewise Constant Exponential Model Weibull Model Log-Logistic and Log-Normal Models Additional Parametric Models Finding the Best Fitting Parametric Model Exercises Model Building and Diagnostics Introduction Model Building and Selection of Covariates Assessing the Overall Goodness of Fit of Your Model What is Residual Analysis? Testing Overall Model Adequacy: Cox-Snell Residuals Testing the Proportional Hazards Assumption: Schoenfeld Residuals Checking For Influential Observations: Score Residuals (Dfbeta Statistics) Assessing Nonlinearity: Martingale Residual and Component-Plus-Residual Plots Exercises Correlated and Discrete-Time Survival Data: Frailty, Recurrent Events and Discrete-Time Models Introduction Shared Frailty: Modeling Recurrent Events and Clustering In Groups Other Frailty Models: Unshared, Nested, Joint and Additive Models Estimating Frailty Models in R Example of Frailty Model Estimation and Interpretation Discrete-Time and Count Models Exercises Multiple Events and Entire Histories: Competing Risk, Multistate Models and Sequence Analysis Introduction Competing Risk Models Multistate Models Sequence Analysis: Modeling Entire Histories Exercises Appendix : Datasets Used in this Book

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