Research methods / methodology Books

Book SynopsisThis updated and expanded edition is a unique examination of qualitative research in the social sciences, raising and answering the question of why we do this kind of investigation. Rather than providing instructions on how to conduct qualitative research, The Science of Qualitative Research explores the multiple roots of qualitative research - including phenomenology, hermeneutics, and critical theory - in order to diagnose the current state of the field and recommend an alternative. The author argues that much qualitative research today uses the mind-world dualism that is typical of traditional experimental investigation, and recommends that instead we focus on constitution: the relationship of mutual formation between a form of life and its members. Michel Foucault''s program for ''a history ontology of ourselves'' provides the basis for this fresh approach. The new edition features updated chapters, and a brand new chapter which offers a discussion on how to put into practice FoucaTable of ContentsPart I. The Objective Study of Subjectivity: 1. What is science?; 2. The qualitative research interview; 3. The analysis of qualitative interviews; 4. Hermeneutics and the project for a human science; 5. Qualitative analysis reconsidered; Part II. Ethnographic Fieldwork – the Focus on Constitution: 6. Calls for interpretive social science; 7. Dualism and constitution: the social construction of reality; 8. Constitution as ontological; 9. The crisis in ethnography; 10. Studying ontological work; Part III. Inquiry with an Emancipatory Interest: 11. Qualitative research as critical inquiry; 12. Emancipatory inquiry as rational reconstruction; 13. Social science as participant objectification; 14. Archaeology, genealogy, ethics; 15. A historical ontology of ourselves; 16. The concrete investigation of constitution.

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Book SynopsisResearch Methods is an introduction to the importance of scientific research in everyday life and uses familiar examples to keep students engaged. The text analyzes controversies in psychology to stimulate student interest while explaining crucial methodological concepts. It presents ethical issues related to research, as well as social and cultural factors that might affect it, and provides a comprehensive introduction to a wide variety of methodologies. Through this book, students will learn how to generate research questions and select appropriate methodology, as well as to write a successful research report.Table of ContentsPreface; Part I. Understanding Research: 1. Psychology, science, and life; 2. Ethics in research; 3. Planning research: generating a research question; 4. Practical issues in planning your research; 5. Measurement and sampling; Part II. Experimental Approaches: 6. Conducting an experiment: general principles; 7. Experiments with one independent variable; 8. Experiments with multiple independent variables; 9. Expanding on experimental designs: repeated measures and quasi-experiments; Part III. Correlational and Nonexperimental Designs: 10. Principles of survey research; 11. Correlational research; 12. Studying patterns in the natural world: observational approaches; 13. Research in depth: longitudinal and single-case studies; Part IV. Culture and Research: 14. People are different: considering culture and individual differences in research; Appendix A. Writing a research report; Appendix B. Statistics review; Appendix C. Statistical tables; References; Index.

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Book SynopsisPhilosophy and social science assume that reason and cause are objective and universally applicable concepts. Through close readings of ancient and modern philosophy, history and literature, Richard Ned Lebow demonstrates that these concepts are actually specific to time and place. He traces their parallel evolution by focusing on classical Athens, the Enlightenment through Victorian England, and the early twentieth century. This important book shows how and why understandings of reason and cause have developed and evolved, in response to what kind of stimuli, and what this says about the relationship between social science and the social world in which it is conducted. Lebow argues that authors reflecting on their own social context use specific constructions of these categories as central arguments about the human condition. This highly original study will make an immediate impact across a number of fields with its rigorous research and the development of an innovative historicised eTable of Contents1. Introduction; 2. Homer and Sophocles; 3. Thucydides; 4. David Hume; 5. Dickens, Trollope, and Collins; 6. Max Weber; 7. Thomas Mann and Franz Kafka; 8. Conclusion.

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Book SynopsisDuring the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master''s students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book connects exponential family theory with its applications in a way that doesn''t require advanced mathematical preparation.Trade Review'This book provides a unique perspective on exponential families, bringing together theory and methods into a unified whole. No other text covers the range of topics in this text. If you want to understand the 'why' as well as the `how' of exponential families, then this book should be on your bookshelf.' Larry Wasserman, Carnegie Mellon University'I am excited to see the publication of this monograph on exponential families by my friend and colleague Brad Efron. I learned some of this material during my Ph.D. studies at Stanford from the maestro himself, as well as the geometry of curved exponential families, Hoeffding's lemma, the Lindsey method, and the list goes on. They have lived with me my entire career and informed our work on GAMs and sparse GLMs. Generations of Stanford students have shared this privilege, and now generations in the future will be able to enjoy the unique Efron style.' Trevor Hastie, Stanford University'Exponential families can be magical in simplifying both theoretical and applied statistical analyses. Brad Efron's wonderful book exposes their secrets, from R. A. Fisher's early magic to Efron's own bootstrap: an essential text for understanding how data of all sizes can be approached scientifically.' Stephen Stigler, University of Chicago'This book provides an original and accessible study of statistical inference in the class of models called exponential families. The mathematical properties and flexibility of this class makes the models very useful for statistical practice – they underpin the class of generalized linear models, for example. Writing with his characteristic elegance and clarity, Efron shows how exponential families underpin, and provide insight into, many modern topics in statistical science, including bootstrap inference, empirical Bayes methodology, high-dimensional inference, analysis of survival data, missing data, and more.' Nancy Reid, University of Toronto'In this book, Brad Efron illuminates the exponential family as a practical, extendible, and crucial ingredient in all manners of data analysis, be they Bayesian, frequentist, or machine learning. He shows us how to shape, understand, and employ these distributions in both algorithms and analysis. The book is crisp, insightful, and indispensable.' David Blei, Columbia UniversityTable of Contents1. One-parameter exponential families; 2. Multiparameter exponential families; 3. Generalized linear models; 4. Curved exponential families, eb, missing data, and the em algorithm; 5. Bootstrap confidence intervals; Bibliography; Index.

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Book SynopsisCreativity is at the heart of successful research, yet researchers are rarely taught how to manage their creative process, and modern academic life is not structured to optimize creativity. Creativity in Research provides concrete guidance on developing creativity for anyone doing or mentoring research. Based on a curriculum developed at Stanford University''s Hasso Plattner Institute of Design, this book presents key abilities that underlie creative research practice through a combination of scientific literature on creative confidence, experiential exercises, and guided reflection. By focusing attention on how research happens as well as its outputs, researchers increase their ability to address research challenges and produce the outputs they care about. Simultaneously, they may also transform their emotional relationship with their work, replacing stress and a harsh inner critic with a more open and emotionally empowered attitude.Trade Review'This book strikes an excellent balance between research and practice. It is perfect for people who draw on research findings to improve their research, which should be everyone. The authors get full marks for doing their homework and identifying a range of specific methods, justified by research, that will indeed support the creativity of researchers.' Mark A. Runco, Director of Creativity Research and Programming, Southern Oregon University'The goals, content, and clarity of this book are excellent. The chapters offer compelling insights and hands-on exercises for nurturing creativity in research. It will be a valuable and welcome contribution to the literature on promoting creativity among students and scholars working in several different fields.' Daniel Stokols, Chancellor's Professor Emeritus, University of California and author of Social Ecology in the Digital Age'Creativity in Research is a resource I'll share with all my students and colleagues. It's incredibly useful for all of us.' Pamela Matson, Goldman Professor, Stanford University, CaliforniaTable of Contents1. The creativity at the heart of your research; Part I. Develop Your Creative Abilities: 2. Mind your process and be intentional; 3. Use emotions to diagnose problems and move forward; 4. Solve the right problem; 5. Iterate and experiment; Part II. Cultivate Conditions that Support Creativity: 6. Choose your language and stories; 7. Manage your energy; 8. Make your research a team sport; Part III. Bring the Abilities into Your Office or Lab: 9. Integrate the creative abilities, part 1; 10. Integrate the creative abilities, part 2; 11. 30-day creativity-in-research program for individuals or groups; 12. Mentoring creativity; 13. Conclusion.

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Book SynopsisWritten for political science and economics students who have completed a course in game theory, this text provides a unified and accessible survey of canonical and important new formal models of domestic politics. Now thoroughly updated, it includes a new chapter on nondemocracy alongside expanded material and additional exercises throughout.Trade Review'Formal Models of Domestic Politics is an ideal textbook for students who have completed basic course work in game theory and are gearing up to learn about its most recent applications to political science. For seasoned political economists, it is the perfect reference when they need a quick refresher on a family of models. Gehlbach presents formal theory in a way that not only is inviting to the reader but actually helps original authors get their ideas across more effectively. The new chapter on non-democracy accomplishes this particularly well, finding common elements in seemingly unrelated models in a way that makes the whole so much more than just a sum of its parts. Any political economist should keep this book on hand.' Monika Nalepa, University of Chicago'This is a lovely book to teach from. It is unique in bridging the gap between informal political- economic models and more advanced topics. Gehlbach has a special gift in initiating undergraduate students to rigorous academic standards, introducing models step by step, with a variety of well-chosen applications. New content on nondemocratic models of politics makes this second edition even more relevant for tackling current political-economic issues.' Giancarlo Ianulardo, University of Exeter Business School'This is the only textbook that provides an accessible and comprehensive coverage of the state-of-the-art theoretical models of political economy. The second edition's new chapter on authoritarian politics is especially welcome - given the growing economic and geopolitical importance of nondemocratic countries and the recent scholarly advances in the field.' Sergei Guriev, Sciences Po Paris'The first edition of Formal Models of Domestic Politics is already a cornerstone of the pedagogical canon of political economy, and the second edition further solidifies this status. In this new edition, Gehlbach has included important and timely new material, such as semi-democratic and authoritarian states, delegation, and voter rationality. Perfectly pitched for advanced undergraduate and graduate students in social science, this work is wonderful for both teaching and research purposes. Gehlbach takes incredible care in explaining both the models and the art of developing one's own applied theoretical models. Simply put, it is a must-have for any scholar interested in political economy.' John W. Patty, Emory University'Formal Models of Domestic Politics is an indispensable book! In this new edition, Gehlbach guides us through both the latest developments in formal political theory and canonical models of politics. The book's clarity and style make it accessible to advanced undergraduates and beginning graduate students; the book's coverage and depth have made it a standard reference for both political scientists and economists.' Milan Svolik, Yale UniversityTable of ContentsFigures and table; Acknowledgments; Preface; 1. Electoral competition under certainty; 2. Electoral competition under uncertainty; 3. Special interest politics; 4. Veto players; 5. Delegation; 6. Coalitions; 7. Political agency; 8. Nondemocracy; 9. Regime change; References; Author index; Subject index.

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Book SynopsisThis book is relevant for anyone involved in the practice of psychology and the social sciences more broadly: researchers, teachers, students, and practitioners. It challenges the status quo with regards to the way that psychology is done, and it offers a unified solution that encompasses both theory and methodology.Trade Review'Contemporary psychology has supplemented its traditional cabinet of curiosities, where inner substances such as 'intelligence' and 'extraversion' have long been on display, with the discovery of several others we didn't know we have. Virtuous substances such as 'self-esteem', 'grit', and 'self-compassion' are now exhibited alongside more noxious substances, such as post-traumatic stress disorder or Borderline Personality Disorder. For those who might, at this point, feel there are just too many inner substances to keep track of, Paul van Geert and Naomi de Ruiter offer some relief. They argue that many research programs in psychology get caught up in their own dubious assumptions, neglecting the vicissitudes of individual lives as lived over time. With learning and humor, ranging from Ancient Greece to Monty Python, they invite readers to contemplate a less rigid, more dynamic and process-oriented research agenda in psychology.' Paul Harris, Victor S. Thomas Professor of Education, Harvard University, USA'Van Geert and de Ruiter present a bold and comprehensive denouncement of status quo psychological science to argue for a more ontologically valid process and systems orientation. A guide for how to move the science forward, this is a must-read for all social scientists at any level of experience.' Tom Hollenstein, Professor in the Department of Psychology, Queen's University, Canada'This book is a breath of fresh air for psychology. It inspires us to question conventional assumptions and practices, and to think about human behavior in new ways. Using an impressive range of interdisciplinary sources, van Geert and de Ruiter masterfully and convincingly demonstrate how systems theory and a process framework can significantly advance basic and applied psychology.' Catherine Raeff, Ph.D., Theoretical and Developmental Psychologist, USA'This important book has it all. It provides an in-depth yet highly accessible explanation of the complex systems approach to psychology, while exposing the limitations of conventional approaches. This is a must-read for anyone who yearns to understand the dynamics of human experience and is looking for the path forward.' Robin R. Vallacher, Professor and Interim Chair, Florida Atlantic University, USA and Research Associate, Center for Complex Systems, University of Warsaw, Poland'Van Geert and de Ruiter provide psychological scientists with a timely admonition: our discipline's mainstream research practices and assumptions have yielded a base of knowledge and view of reality wholly out of touch with the time- and context-sensitive dynamics of people and their functioning. Written with exceptional clarity, precision, and scope, this remarkable new book adds immeasurably to the growing list of scholarly works challenging science's orthodox ontology of substance in favor of a process ontology.' David Witherington, Associate Professor, The University of New Mexico, USATable of ContentsIntroduction; 1. Change, the final frontier; 2. A (selected) foundation for a process approach; 3. The goal of Socrates; 4. Esteeming entities; 5. A person acting amongst persons; 6. Cliffhangers and utilitarian infants; 7. Causes, kings and interventions; 8. (Compl)explanation and King Alfonso's lament; 9. What's in a name?; 10. (Un)certainties; 11. Troubled waters of Hercalitus' river?; 12. Psychological science as a complex dynamic system.

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Book SynopsisThe first introductory guide to the fast-paced and emerging field of research, equipping readers with the knowledge to critically interpret and plan adaptive clinical trials and master protocols. An invaluable text for medical students and researchers, featuring a history of clinical trial research, case studies and a practical guide.Trade Review'A delightful, easy-to-read and must-have primer for anyone offering a course on basic concepts, ingredients, attributes, and different types of, including common misconceptions and practical considerations for, adaptive clinical trials and master protocols.' Lehana Thabane, Professor, Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada'This book fulfils an important need, providing a broad overview of recent work in innovative approaches to clinical trials. It covers two major types of innovative trial design that are becoming more widespread in clinical research: adaptive designs and master protocols. For readers who wish to delve into more depth, it provides a thorough review of literature on the topic. It also showcases available software, both commercial and free, and provides many real case studies of where the designs have been used in real trials. The book is written by three experts in the field who understand well the benefits and limitations of these approaches. It is relevant to those who work in academic trials as well as the pharmaceutical industry. I would highly recommend it as a great resource for clinical trialists who want to understand these approaches better.' James Wason, Professor of Biostatistics, Newcastle UniversityTable of ContentsAbout the Author; Preface; Part I. History and Introduction to Clinical Trial Research: 1. Introduction to Clinical Trial Research; 2. History of Clinical Trial Research. Part II. Basic Ingredients for Adaptive Trial Designs and Common Types: 3. Characteristics and Principles of Adaptive Trial Designs; 4. Common Types of Adaptive Trial Designs; 5. Clinical Trial Simulations; Part III. Basic Ingredients for Master Protocols: 6. Characteristics and Principles of Master Protocols; 7. Platform Trials; 8. Basket and Umbrella Trials; Part IV. Case Studies of Adaptive Trial Designs and Master Protocols; 9. Case Studies of Adaptive Trial Designs; 10. Case Studies of Platform Trials; 11. Case Studies of Basket and Umbrella Trials; 12. Standards and Guidelines for Adaptive Trial Designs and Master Protocols; Part V. A Practical Guide to Adaptive Trial Designs and Master Protocols: 13. Common Misconceptions of Adaptive Trial Designs and Master Protocols; 14. Practical Considerations for Adaptive Trial Designs and Master Protocols.

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Book SynopsisQualitative comparative methods and specifically controlled qualitative comparisons are central to the study of politics. They are not the only kind of comparison, though, that can help us better understand political processes and outcomes. Yet there are few guides for how to conduct non-controlled comparative research. This volume brings together chapters from more than a dozen leading methods scholars from across the discipline of political science, including positivist and interpretivist scholars, qualitative methodologists, mixed-methods researchers, ethnographers, historians, and statisticians. Their work revolutionizes qualitative research design by diversifying the repertoire of comparative methods available to students of politics, offering readers clear suggestions for what kinds of comparisons might be possible, why they are useful, and how to execute them. By systematically thinking through how we engage in qualitative comparisons and the kinds of insights those comparisonTrade Review'What a refreshing read this volume is. At a time when dominant ways of doing things are suddenly in question, this is a sophisticated wake-up call to the field of political science to study the world differently. The many rich contributions and Simmons' and Smith's masterful elucidation of them remind us that our purpose is to understand the world, not perpetuate the ways in which it is understood. Bravo to the editors and contributors for opening our eyes.' Katherine Cramer, University of Wisconsin-Madison'The world gives us almost as many ways to compare and reasons to compare as places to compare. Rethinking Comparison embraces and even expands the existing pluralism of comparative approaches in political science. Erica Simmons and Nicholas Rush Smith assemble a brilliant and eclectic cast of characters to think anew about all the things we can do – including some things we should consider doing very differently – when we compare.' Dan Slater, University of Michigan'This path-breaking volume shows scholars how to think and work 'outside the box' of Mill's logic of controlled comparison of nation-states, regions and organizations toward generative comparison of political processes, practices, meanings, and concepts. In chapter after chapter, the authors develop new conceptions of comparison that yield fundamental insights – new questions, concepts, categories, ways of viewing the world – not available under narrow conceptions of the comparative method.' Elisabeth Jean Wood, Yale UniversityTable of Contents1. Rethinking comparison: an introduction Erica S. Simmons and Nicholas Rush Smith; Part I. Rethinking the Building Blocks of Comparison: 2. Beyond mill: why cross-case qualitative causal inference is weak, and why we should still compare Jason Seawright; 3. Two ways to compare Frederic Charles Schaffer; 4. Unbound comparison Nick Cheesman; 5. On casing a study versus studying a case Joe Soss; 6. From cases to sites: studying global processes in comparative politics Thea Riofrancos; Part II. Developing New Approaches to Comparison Through Research: 7. Comparing complex cases using archival research Jonathan Obert; 8. Composing comparisons: studying configurations of relations in social network research Sarah E. Parkinson; 9. Against methodological nationalism: seeing comparisons as encompassing through the Arab uprisings Jillian Schwedler; 10. Comparative analysis for theory development Mala Htun and Francesca R. Jensenius; 11. Problems and possibilities of comparison across regime types: examples involving China Benjamin L. Read; 12. Comparisons with an ethnographic sensibility: studies of protest and vigilantism Erica S. Simmons and Nicholas Rush Smith; Epilogue: 13. Theory and imagination in comparative politics: an interview with Lisa Wedeen Erica S. Simmons and Nicholas Rush Smith with Lisa Wedeen.

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Book SynopsisDelivering professional presentations of scientific work is an important part of an academic''s life. Oral presentations are important not only because you present your scientific work, but also because you present yourself to potential hiring committees, grant committees, and collaborators. This book uses insights from the field of psychology, as well as from the theatre, to teach you how to make a lasting impression. It addresses core topics such as how to design presentation slides, how to practice, and how to deliver your presentation to a range of audiences. Useful exercises are provided to help you cope with presentation anxiety, make the most out of conferences, and adapt your presentation to various formats, audiences, and cultures. It is not easy to present with impact, but this book contains the guidance you need to master the art of presenting.Trade Review'This book should be the go-to resource for anyone who wants to improve their oral presentation skills. It covers every aspect of presenting, from preparation to stress-management. The authors benefit from their own rich experience with presenting scientific work and write in an accessible, often humorous way.' Bianca Beersma, Full Professor of Social Sciences and Organisation, Vrije University, the Netherlands'Finally, a book that gives invaluable advice and examples on how to prepare and give presentations. I wish I’d had this earlier in my career … but I can use it now (maybe you can teach an old dog new tricks)! I am definitely assigning this book to our incoming graduate students.' Kipling D. Williams, Distinguished Professor, Purdue University, USA'Find the answer to any questions you can think of about scientific presentations in this book. It advises on a wide range of subjects, from poster presentations to TED talks. Tips, check-lists, and techniques are supplied in an encouraging manner. This is an indispensable resource for early career researchers and senior scientists.' Kai Sassenberg, Head of the Knowledge Media Research Center’s Social Processes Lab and full Professor, University of Tübingen, Germany'This is a highly accessible, practical guide to presenting and is a must-read for any academic. You will find everything there is to know about presenting, from designing slides to managing presentation anxiety, and it reminds you of the main target of any academic presentation: delivering your core message.' Esther Kluwer, Associate Professor of Social Psychology, Utrecht University, and Professor (by special appointment), Radboud University, the NetherlandsTable of ContentsPart I. Preparing your Presentation: 1. The core message; 2. The pieces of the puzzle; 3. It's all about design: slide design; 4. Practice, practice, practice; Part II. Delivering your Presentation: 5. The moment of truth: Stand up and deliver; 6. Discussion time; 7. Verbal and non-verbal behaviour; 8. How to deal with stress; Part III. Adapting your Presentation: 9. Various presentation formats; 10. Cultural differences; 11. Addressing different audiences; Part IV. Attending Oral Presentations: 12. How to be a good audience member; 13. Making the most of conferences; References; Index.

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Book SynopsisThoroughly updated throughout, the new edition of this leading textbook provides an understanding of the case study method and specific tools for its successful implementation. It is an essential resource for a range of postgraduate courses in fields including political science, sociology, business, communications, education, anthropology and medicine.Table of ContentsPreface; Part I. Case Studies: 1. Surveys; 2. Definitions; Part II. Selecting Cases: 3. Overview of case selection; 4. Descriptive case studies; 5. Causal case studies; 6. Algorithms and samples; Part III. Analyzing Cases: 7. A typology of research designs; 8. Quantitative and qualitative modes of analysis; Part IV. Validity: 9. Internal validity; 10. External validity; Part V. Conclusions: 11. Tradeoffs; Part VI. References; Index.

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Book SynopsisPsychologists use a variety of research methods and tools to learn about behavior and mental processes. The goal of this book is to introduce students to the âœmultimethod approachâ to research in psychology, including observational, survey, and experimental methods. Students learn the strengths and weaknesses of each method, as well as ethical dilemmas when using them, so that they can become competent practitioners and thoughtful consumers of psychological research. Our approach is to engage students in the research process by describing contemporary research in psychology. Students learn about recent topics such as online dating and Facebook, cross-cultural observations of helping behavior, PTSD in orphaned chimpanzees, Medicaid and Medicare health outcomes, decision-making during Hurricane Katrina, clinical research and DSM-5, and much more. Each chapter's âœstretching exercises,â âœstat tips,â review questions, and challenge questions develop students' critical thinking aboTable of ContentsBrief ContentsPreface PART IGeneral Issues 1 Introduction 2 The Scientific Method 3 Ethical Issues in the Conduct of Psychological Research PART IIDescriptive Methods 4 Observation 5 Survey Research PART IIIExperimental Methods 6 Independent Groups Designs 7 Repeated Measures Designs 8 Complex Designs PART IVApplied Research 9 Single-Case Designs and Small-n Research 10 Quasi-Experimental Designs and Program Evaluation PART VAnalyzing and Reporting Research 11 Data Analysis and Interpretation: Part I. Describing Data, Confidence Intervals, Correlation 12 Data Analysis and Interpretation: Part II. Tests of Statistical Significance and the Analysis Story 13 Communication in Psychology Appendix Statistical Tables Glossary References Credits Name Index Subject Index

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Book SynopsisDistinguish fake news from reliable journalism with this clear and concise handbook by New York Times best-selling author Bruce Bartlett.Today’s media and political landscapes are littered with untrustworthy sources and the dangerous concept of “fake news.” This accessible guide helps you fight this deeply troubling trend and ensure that truth is not a permanent casualty. Written by Capitol Hill veteran and author Bruce Bartlett, The Truth Matters presents actionable tips and tricks for reading critically, judging sources, using fact-checking sites, avoiding confirmation bias, identifying trustworthy experts, and more.

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Book SynopsisThe only professional resource to focus exclusively on research methods in forensic psychology With specific advice on topics of particular importance to forensic specialists, Research Methods in Forensic Psychology presents state-of-the-discipline summaries of the issues that relate to psychology and law research.Table of ContentsContributors ix Acknowledgments xi Introduction: The Importance of Appropriate Research MethodsBarry Rosenfeld and Steven D. Penrod xiii PART I: General Issues In Forensic Research 1 Legal Research Techniques for Social Scientists 3Jennifer K. Robbennolt and Stephanie Davidson 2 Measure Development in Forensic Psychology 26Barry Rosenfeld, John Edens, and Sara Lowmaster 3 Meta-Analysis 43Siegfried L. Sporer and Lawrence D. Cohn 4 Forensic Psychological Research and the Internet 63Tarika Daftary-Kapur and Sarah Greathouse 5 Statistical Principles in Forensic Research 78Jennifer Groscup PART II: Criminal Law—Pretrial Issues: Criminal investigations and pretrial Forensic assessment 6 Research Methods for Psychophysiological Deception Detection 105Charles R. Honts and John C. Kircher 7 Criminal Profiling 122C. Gabrielle Salfati 8 Methods in Deception Detection Research 136Maria Hartwig 9 Competency to Stand Trial and Criminal Responsibility Research 156Patricia Zapf, Debbie Green, and Barry Rosenfeld 10 Research Methods for the Assessment of Malingering 174Richard Rogers and Nathan D. Gillard PART III: Criminal Law—Trial Issues 11 Jury Research Methods 191Steven D. Penrod, Margaret Bull Kovera,and Jennifer Groscup 12 Trial Consulting in High-Publicity Cases 215Lisa Spano, Tarika Daftary-Kapur, and Steven D.Penrod 13 Eyewitness Identification Research: Strengths and Weaknesses of Alternative Methods 237Gary L. Wells and Steven D. Penrod 14 Children’s Eyewitness Memory: Methodological Issues 257Gail S. Goodman, Margaret-Ellen Pipe,and Kelly McWilliams 15 Procedural Justice: Theory and Method 283Larry Heuer and Diane Sivasubramaniam PART IV: Criminal Law—Post-Trial Issues And Special Populations 16 Conducting Psychotherapy Outcome Research in Forensic Settings 309Barry Rosenfeld, Kathryn Byars, and Michele Galietta 17 Research Methods in Violence Risk Assessment 325Kevin S. Douglas, Jennifer L. Skeem, and Elizabeth Nicholson 18 Psychopathy in Forensic Psychology: Assessment and Methodology 347Ross D. Grimes, Zina Lee, and Randall T. Salekin 19 Sex Offender Research in a Forensic Context 372Robert A. Prentky, Raina Lamade, and Anna Coward 20 Special Populations: Juvenile Offenders 400Keith R. Cruise and Ekaterina Pivovarova 21 Research With Offenders With Intellectual Disability 421Debra Chen, Karen Salekin, J. Gregory Olley,and Solomon M. Fulero PART V: Civil And Family Law Issues 22 Decisional Competence to Consent to or Refuse Mental Health Treatment 435Eric B. Elbogen 23 Methodological Issues in Divorce Mediation Research 452Robert E. Emery and David A. Sbarra 24 Research on Intimate Partner Violence in Forensically Relevant Contexts: Methodological Challenges and Controversies 469Mindy B. Mechanic 25 Research on Child Abuse and Neglect 487Cathy Spatz Widom and Elise C. Landry Author Index 507 Subject Index 525

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Book SynopsisThis book brings together the knowledge of academics and experts to increase the dissemination of the latest developments in agricultural statistics.Trade Review"All over the world, agricultural surveys are conducted to gather a large amount of information on the classic crops, yields, livestock, and other agricultural resources. The survey and analysis methods have tended to be locally devised to meet local or national conditions, cultures, and goals, but over the past few years, efforts have been made to establish methods that would allow comparison and evaluation across national and cultural boundaries. A summary of that effort is provided here in 22 methodology papers selected from presentations at the International Conference on Agricultural Statistics in 1998, 2001, 2004, and 2007. They address issues in census, frames, registers, and administrative data; sample design, weighting, and estimation; geographical information systems and remote sensing; data editing and quality assurance; and data dissemination and survey data analysis. Mathematicians and economists looking toward agriculture, agricultural scientists looking at statistics, and researchers and policy-making looking at the intersection could all find the volume to be a valuable reference." (SciTech Book News, December 2010) Table of ContentsList of Contributors xvii Introduction xxi 1 The present state of agricultural statistics in developed countries: situation and challenges 1 1.1 Introduction 1 1.2 Current state and political and methodological context 4 1.2.1 General 4 1.2.2 Specific agricultural statistics in the UNECE region 6 1.3 Governance and horizontal issues 15 1.3.1 The governance of agricultural statistics 15 1.3.2 Horizontal issues in the methodology of agricultural statistics 16 1.4 Development in the demand for agricultural statistics 20 1.5 Conclusions 22 Acknowledgements 23 Reference 24 Part I Census, Frames, Registers and Administrative Data 25 2 Using administrative registers for agricultural statistics 27 2.1 Introduction 27 2.2 Registers, register systems and methodological issues 28 2.3 Using registers for agricultural statistics 29 2.3.1 One source 29 2.3.2 Use in a farm register system 30 2.3.3 Use in a system for agricultural statistics linked with the business register 30 2.4 Creating a farm register: the population 34 2.5 Creating a farm register: the statistical units 38 2.6 Creating a farm register: the variables 42 2.7 Conclusions 44 References 44 3 Alternative sampling frames and administrative data. What is the best data source for agricultural statistics? 45 3.1 Introduction 45 3.2 Administrative data 46 3.3 Administrative data versus sample surveys 46 3.4 Direct tabulation of administrative data 46 3.4.1 Disadvantages of direct tabulation of administrative data 47 3.5 Errors in administrative registers 48 3.5.1 Coverage of administrative registers 48 3.6 Errors in administrative data 49 3.6.1 Quality control of the IACS data 49 3.6.2 An estimate of errors of commission and omission in the IACS data 50 3.7 Alternatives to direct tabulation 51 3.7.1 Matching different registers 51 3.7.2 Integrating surveys and administrative data 52 3.7.3 Taking advantage of administrative data for censuses 52 3.7.4 Updating area or point sampling frames with administrative data 53 3.8 Calibration and small-area estimators 53 3.9 Combined use of different frames 54 3.9.1 Estimation of a total 55 3.9.2 Accuracy of estimates 55 3.9.3 Complex sample designs 56 3.10 Area frames 57 3.10.1 Combining a list and an area frame 57 3.11 Conclusions 58 Acknowledgements 59 References 60 4 Statistical aspects of a census 63 4.1 Introduction 63 4.2 Frame 64 4.2.1 Coverage 64 4.2.2 Classification 64 4.2.3 Duplication 65 4.3 Sampling 65 4.4 Non-sampling error 66 4.4.1 Response error 66 4.4.2 Non-response 67 4.5 Post-collection processing 68 4.6 Weighting 68 4.7 Modelling 69 4.8 Disclosure avoidance 69 4.9 Dissemination 70 4.10 Conclusions 71 References 71 5 Using administrative data for census coverage 73 5.1 Introduction 73 5.2 Statistics Canada’s agriculture statistics programme 74 5.3 1996 Census 75 5.4 Strategy to add farms to the farm register 75 5.4.1 Step 1: Match data from E to M 76 5.4.2 Step 2: Identify potential farm operations among the unmatched records from E 76 5.4.3 Step 3: Search for the potential farms from E on M 76 5.4.4 Step 4: Collect information on the potential farms 77 5.4.5 Step 5: Search for the potential farms with the updated key identifiers 77 5.5 2001 Census 77 5.5.1 2001 Farm Coverage Follow-up 77 5.5.2 2001 Coverage Evaluation Study 77 5.6 2006 Census 78 5.6.1 2006 Missing Farms Follow-up 79 5.6.2 2006 Coverage Evaluation Study 80 5.7 Towards the 2011 Census 81 5.8 Conclusions 81 Acknowledgements 83 References 83 Part II Sample Design, Weighting and Estimation 85 6 Area sampling for small-scale economic units 87 6.1 Introduction 87 6.2 Similarities and differences from household survey design 88 6.2.1 Probability proportional to size selection of area units 88 6.2.2 Heterogeneity 90 6.2.3 Uneven distribution 90 6.2.4 Integrated versus separate sectoral surveys 90 6.2.5 Sampling different types of units in an integrated design 91 6.3 Description of the basic design 91 6.4 Evaluation criterion: the effect of weights on sampling precision 93 6.4.1 The effect of ‘random’ weights 93 6.4.2 Computation of D2 from the frame 94 6.4.3 Meeting sample size requirements 94 6.5 Constructing and using ‘strata of concentration’ 95 6.5.1 Concept and notation 95 6.5.2 Data by StrCon and sector (aggregated over areas) 95 6.5.3 Using StrCon for determining the sampling rates: a basic model 97 6.6 Numerical illustrations and more flexible models 97 6.6.1 Numerical illustrations 97 6.6.2 More flexible models: an empirical approach 100 6.7 Conclusions 104 Acknowledgements 105 References 105 7 On the use of auxiliary variables in agricultural survey design 107 7.1 Introduction 107 7.2 Stratification 109 7.3 Probability proportional to size sampling 113 7.4 Balanced sampling 116 7.5 Calibration weighting 118 7.6 Combining ex ante and ex post auxiliary information: a simulated approach 124 7.7 Conclusions 128 References 129 8 Estimation with inadequate frames 133 8.1 Introduction 133 8.2 Estimation procedure 133 8.2.1 Network sampling 133 8.2.2 Adaptive sampling 135 References 138 9 Small-area estimation with applications to agriculture 139 9.1 Introduction 139 9.2 Design issues 140 9.3 Synthetic and composite estimates 140 9.3.1 Synthetic estimates 141 9.3.2 Composite estimates 141 9.4 Area-level models 142 9.5 Unit-level models 144 9.6 Conclusions 146 References 147 Part III GIS and Remote Sensing 149 10 The European land use and cover area-frame statistical survey 151 10.1 Introduction 151 10.2 Integrating agricultural and environmental information with LUCAS 154 10.3 LUCAS 2001–2003: Target region, sample design and results 155 10.4 The transect survey in LUCAS 2001–2003 156 10.5 LUCAS 2006: a two-phase sampling plan of unclustered points 158 10.6 Stratified systematic sampling with a common pattern of replicates 159 10.7 Ground work and check survey 159 10.8 Variance estimation and some results in LUCAS 2006 160 10.9 Relative efficiency of the LUCAS 2006 sampling plan 161 10.10 Expected accuracy of area estimates with the LUCAS 2006 scheme 163 10.11 Non-sampling errors in LUCAS 2006 164 10.11.1 Identification errors 164 10.11.2 Excluded areas 164 10.12 Conclusions 165 Acknowledgements 166 References 166 11 Area frame design for agricultural surveys 169 11.1 Introduction 169 11.1.1 Brief history 170 11.1.2 Advantages of using an area frame 171 11.1.3 Disadvantages of using an area frame 171 11.1.4 How the NASS uses an area frame 172 11.2 Pre-construction analysis 173 11.3 Land-use stratification 176 11.4 Sub-stratification 178 11.5 Replicated sampling 180 11.6 Sample allocation 183 11.7 Selection probabilities 185 11.7.1 Equal probability of selection 186 11.7.2 Unequal probability of selection 187 11.8 Sample selection 188 11.8.1 Equal probability of selection 188 11.8.2 Unequal probability of selection 188 11.9 Sample rotation 189 11.10 Sample estimation 190 11.11 Conclusions 192 12 Accuracy, objectivity and efficiency of remote sensing for agricultural statistics 193 12.1 Introduction 193 12.2 Satellites and sensors 194 12.3 Accuracy, objectivity and cost-efficiency 195 12.4 Main approaches to using EO for crop area estimation 196 12.5 Bias and subjectivity in pixel counting 197 12.6 Simple correction of bias with a confusion matrix 197 12.7 Calibration and regression estimators 197 12.8 Examples of crop area estimation with remote sensing in large regions 199 12.8.1 US Department of Agriculture 199 12.8.2 Monitoring agriculture with remote sensing 200 12.8.3 India 200 12.9 The GEOSS best practices document on EO for crop area estimation 200 12.10 Sub-pixel analysis 201 12.11 Accuracy assessment of classified images and land cover maps 201 12.12 General data and methods for yield estimation 203 12.13 Forecasting yields 203 12.14 Satellite images and vegetation indices for yield monitoring 204 12.15 Examples of crop yield estimation/forecasting with remote sensing 205 12.15.1 USDA 205 12.15.2 Global Information and Early Warning System 206 12.15.3 Kansas Applied Remote Sensing 207 12.15.4 MARS crop yield forecasting system 207 References 207 13 Estimation of land cover parameters when some covariates are missing 213 13.1 Introduction 213 13.2 The AGRIT survey 214 13.2.1 Sampling strategy 214 13.2.2 Ground and remote sensing data for land cover estimation in a small area 216 13.3 Imputation of the missing auxiliary variables 218 13.3.1 An overview of the missing data problem 218 13.3.2 Multiple imputation 219 13.3.3 Multiple imputation for missing data in satellite images 221 13.4 Analysis of the 2006 AGRIT data 222 13.5 Conclusions 227 References 229 Part IV Data Editing and Quality Assurance 231 14 A generalized edit and analysis system for agricultural data 233 14.1 Introduction 233 14.2 System development 236 14.2.1 Data capture 236 14.2.2 Edit 237 14.2.3 Imputation 238 14.3 Analysis 239 14.3.1 General description 239 14.3.2 Micro-analysis 239 14.3.3 Macro-analysis 240 14.4 Development status 240 14.5 Conclusions 241 References 242 15 Statistical data editing for agricultural surveys 243 15.1 Introduction 243 15.2 Edit rules 245 15.3 The role of automatic editing in the editing process 246 15.4 Selective editing 247 15.4.1 Score functions for totals 248 15.4.2 Score functions for changes 250 15.4.3 Combining local scores 251 15.4.4 Determining a threshold value 252 15.5 An overview of automatic editing 253 15.6 Automatic editing of systematic errors 255 15.7 The Fellegi–Holt paradigm 256 15.8 Algorithms for automatic localization of random errors 257 15.8.1 The Fellegi–Holt method 257 15.8.2 Using standard solvers for integer programming problems 259 15.8.3 The vertex generation approach 259 15.8.4 A branch-and-bound algorithm 260 15.9 Conclusions 263 References 264 16 Quality in agricultural statistics 267 16.1 Introduction 267 16.2 Changing concepts of quality 268 16.2.1 The American example 268 16.2.2 The Swedish example 271 16.3 Assuring quality 274 16.3.1 Quality assurance as an agency undertaking 274 16.3.2 Examples of quality assurance efforts 275 16.4 Conclusions 276 References 276 17 Statistics Canada’s Quality Assurance Framework applied to agricultural statistics 277 17.1 Introduction 277 17.2 Evolution of agriculture industry structure and user needs 278 17.3 Agriculture statistics: a centralized approach 279 17.4 Quality Assurance Framework 281 17.5 Managing quality 283 17.5.1 Managing relevance 283 17.5.2 Managing accuracy 286 17.5.3 Managing timeliness 293 17.5.4 Managing accessibility 294 17.5.5 Managing interpretability 296 17.5.6 Managing coherence 297 17.6 Quality management assessment 299 17.7 Conclusions 300 Acknowledgements 300 References 300 Part V Data Dissemination and Survey Data Analysis 303 18 The data warehouse: a modern system for managing data 305 18.1 Introduction 305 18.2 The data situation in the NASS 306 18.3 What is a data warehouse? 308 18.4 How does it work? 308 18.5 What we learned 310 18.6 What is in store for the future? 312 18.7 Conclusions 312 19 Data access and dissemination: some experiments during the First National Agricultural Census in China 313 19.1 Introduction 313 19.2 Data access and dissemination 314 19.3 General characteristics of SDA 316 19.4 A sample session using SDA 318 19.5 Conclusions 320 References 322 20 Analysis of economic data collected in farm surveys 323 20.1 Introduction 323 20.2 Requirements of sample surveys for economic analysis 325 20.3 Typical contents of a farm economic survey 326 20.4 Issues in statistical analysis of farm survey data 327 20.4.1 Multipurpose sample weighting 327 20.4.2 Use of sample weights in modelling 328 20.5 Issues in economic modelling using farm survey data 330 20.5.1 Data and modelling issues 330 20.5.2 Economic and econometric specification 331 20.6 Case studies 332 20.6.1 ABARE broadacre survey data 332 20.6.2 Time series model of the growth in fodder use in the Australian cattle industry 333 20.6.3 Cross-sectional model of land values in central New South Wales 335 References 338 21 Measuring household resilience to food insecurity: application to Palestinian households 341 21.1 Introduction 341 21.2 The concept of resilience and its relation to household food security 343 21.2.1 Resilience 343 21.2.2 Households as (sub) systems of a broader food system, and household resilience 345 21.2.3 Vulnerability versus resilience 345 21.3 From concept to measurement 347 21.3.1 The resilience framework 347 21.3.2 Methodological approaches 348 21.4 Empirical strategy 350 21.4.1 The Palestinian data set 350 21.4.2 The estimation procedure 351 21.5 Testing resilience measurement 359 21.5.1 Model validation with CART 359 21.5.2 The role of resilience in measuring vulnerability 363 21.5.3 Forecasting resilience 364 21.6 Conclusions 365 References 366 22 Spatial prediction of agricultural crop yield 369 22.1 Introduction 369 22.2 The proposed approach 372 22.2.1 A simulated exercise 374 22.3 Case study: the province of Foggia 376 22.3.1 The AGRIT survey 377 22.3.2 Durum wheat yield forecast 378 22.4 Conclusions 384 References 385 Author Index 389 Subject Index 395

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Book SynopsisThe fourth edition ofIntroduction to Educational Researchby Craig A. Mertler guides readers through the steps of the research process to help them plan and execute research projects in educational settings. With balanced coverage of qualitative and quantitative methods, an emphasis on ethics, and concrete applications of methods, this text offers a practical presentation of the research process. New to the fourth edition are more information on interviews throughout the book, expanded coverage of qualitative research, and a thoroughly updated chapter on action research. Three current research articles are included as appendices to demonstrate qualitative, quantitative, and mixed methods. Comprehensive and student-friendly,Introduction to Educational Researchuses conversational and nontechnical language to help students clearly understand and apply research concepts, principles, procedures, and terminology.

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Book SynopsisIn The Practical Researcher, Dana S. Dunn''s student-friendly writing style and personal tone provide readers with a practical and engaging introduction to research methods in psychology. Using basic theory, solid research practices, and step-by-step techniques, the author leads students through the process of conducting a project from start to finish. The importance of learning to search, read, and critique the psychological literature, as well as writing clearly about it, are emphasized throughout. Boxed features called Research Foundations present key issues faced by researchers, allowing students to ponder various controversies, while numerous examples, practical tips, and applied material bring the process of doing research to life. Packed with useful decision trees, tables, checklists, and illustrations, this clear and precise book will equip students with the tools they need to carry out their research successfully. FEATURES Step-by-stTable of ContentsChapter 1: The Why and How of Psychological Research Chapter 2: Research Approaches and Generating Ideas Chapter 3: Searching and Reading the Psychological Literature Chapter 4: Writing: A First and Last Consideration Chapter 5: Ethical Considerations in the Practice Of Research Chapter 6: Experimental Research Chapter 7: Applied and Field Research: Non-experimental Approaches Chapter 8: Planning Analysis and Displaying Data Chapter 9: Presenting and Publishing Research Chapter 10: Closing Thoughts and Future Directions

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Book SynopsisTeacher inquiry helps improve educational outcomes Practitioner Teacher Inquiry and Research explores the concept and importance of the teacher practitioner, and prepares students in teacher education courses and programs to conduct research in the classroom.Table of ContentsList of Tables, Figures, and Exhibits vii Preface ix Acknowledgments xix The Author xx The Contributors xxi Part 1: Perspectives, Strategies, and Methodologies 1 Chapter 1 Developing a Concept of Practitioner Teacher Inquiry 3 How to Define Research 3 Complexities for Developing Inquiry Identity 10 Summary 19 Discussion Questions 21 Chapter 2 School Change and Teacher Inquiry Identity 29 Postmodern Schooling 29 Crafting Inquiry Possibilities for Improving Schools 37 Summary 46 Discussion Questions 49 Chapter 3 Inquiry Communities for Learning and Change 55 Educators as Inquirers 55 Collaborative Youth Inquiry 61 Inquiry Action Studies 66 Summary 74 Discussion Questions 75 Chapter 4 Where We Begin Practitioner Teacher Inquiry 81 Finding a Focus 82 Seeking Expertise from Others 91 Summary 99 Discussion Questions 100 Chapter 5 Guidelines for Collecting Data 107 Ethical Issues, Choices, and Challenges 107 Data Collection 119 Summary 132 Discussion Questions 133 Chapter 6 Analyzing, Interpreting, and Managing Inquiry Study 139 Data Analysis and Interpretation 139 Managing the Study 150 Summary 162 Discussion Questions 163 Chapter 7 Sharing and Changing School Culture 167 Communicating New Knowledge and Understandings 167 Collective Thinking and Decision Making 183 Summary 191 Discussion Questions 193 Part 2: Teacher Inquiry into Practice 199 Chapter 8 Blogging in the LA Classroom: How Do We Do It Better? 201 Kathy Anderkin Context 201 School and Community Description 202 Problem Statement 203 Literature Review 204 Design 204 Data Analysis 207 Conclusion 209 Discussion Questions 210 Chapter 9 Struggles and Successes of Problem-Based Learning 213 Angela Durbin Page Problem Statement 213 Theoretical Framework 215 Study Overview 218 Effective Strategies for Project-Based Learning Experiences 220 Conclusion 222 Discussion Questions 222 Chapter 10 Teaching Social Skills with Picture Books 225 Brandon La Mar Problem Statement 226 Literature Review 227 Design 229 Data Analysis 233 Conclusion 235 Discussion Questions 236 Chapter 11 Increasing Readership of Online Student Publications 239 James E Lang Context 239 Description of Study 240 Assessment and Analysis 243 Conclusion 246 Discussion Questions 247 Chapter 12 One-to-One iPad Initiative Review 249 Mark Lorence Problem Statement 249 Literature Review 250 Research Design 254 Data Analysis 255 Conclusion 260 Discussion Questions 264 Chapter 13 The Vegas Effect: A Personal Reflection on the Obstacles to Doing Education Research 265 Melissa Rhinehart Obstacle Set 1 265 Obstacle Set 2 266 Research Aspirations 266 Obstacle Set 3 267 Conclusion 268 Discussion Questions 270 Chapter 14 Transferring Oral Phonemic Skills to Written Form 271 Resjohna Tomblin Problem Statement 271 Literature Review 272 Research Design 275 Data Analysis 277 Conclusion 279 Discussion Questions 282 Chapter 15 Connecting Socially Through a Morning Meeting Approach 283 Kayce Ware Context 283 Conducting the Study 286 Findings and Results 287 Conclusion 291 Discussion Questions 293 Glossary 295 Index 300 Credits 314

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Book SynopsisCategorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text blends necessary background information and formulas for statistical procedures with data analyses illustrating techniques such as log- linear modeling and logistic regression analysis.Table of ContentsDetailed Contents ix Preface xiii Acknowledgments xix About the Companion Website xx 1. Introduction to Categorical Statistics 1 2. Univariate Goodness of Fit and Contingency Tables in Two Dimensions 12 3. Contingency Tables in Three Dimensions 41 4. Log -linear Analysis 58 5. Logit Log -linear Analysis 90 6. Binary Logistic Regression 119 7. Multinomial Logistic Regression 153 8. Ordinal Logistic Regression 171 9. Probit Analysis 198 10. Poisson and Negative Binomial Regression 216 11. Interrater Agreement Measures for Nominal and Ordinal Data 232 12. Concluding Communication 255 Appendix A: Chi ]Square Table 259 Appendix B: SPSS Code for Selected Procedures 261 Index 266

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Book SynopsisIn this thought-provoking text, Liz Bondi and Judith Fewell invite practitioners to move away from an approach to research that depends upon distance and objectification, and towards a method centred on practical wisdom developed through intense exploration of the lived experience of therapeutic relationships.Following a close examination of the flaws of dominant approaches to research in the field, the book provides a richly detailed exploration of a diverse range of subjective experiences, from both practitioners and clients.Written by a collection of authors with a wealth of experience in practice and academia, this insightful and evocative text will inspire anyone undertaking research in this field be they students, educators or practitioners.Trade ReviewThe authors offer a thoughtful and coherent discussion about the necessity of research outside the strictures of the medical model making an argument for more personal and experiential research being needed … I was impressed with the strength of the research that the authors used to consolidate their arguments. * Alexa Duff, The Journal of Critical Psychology, Counselling and Psychotherapy, Vol. 19 (1) *Table of ContentsPART I: RECLAIMING THE WISDOM OF PRACTICE IN COUNSELLING AND PSYCHOTHERAPY RESEARCH 1. Why Does Research So Often Alienate Practitioners and What Can Be Done About It?; Liz Bondi and Judith Fewell 2. The Power of Examples; Liz Bondi and Judith Fewell 3. Rethinking Supervision and Ethics in Experience-Near Research; Siobhan Canavan and Seamus Prior PART II: COMING INTO THERAPEUTIC PRACTICE 4. A Trainee Counsellor's Account of Learning to Trust in the Process; Linda Gardner 5. Losing Touch: An Exploration of the Place of Touch in Therapeutic Relationships; Anna St Clair 6. Why I Became a Counsellor: Reflections on the Counter-transference; Mags Turner PART III: CLIENT VOICES 7. Working with Early Trauma in Therapy: Emerging from the Shadow of Polio; Connie Johnson 8. Regarding 'The Tea-house of the August Moon': Therapeutic Work with a Man with Schizophrenia within a Hospital Context; April Parkins 9. A Secret Sorrow: Making a Difference to Bereavement in Prison; Janette Masterton 10. 'Reading the Wound': Using Stories to Open up the Nature of Trauma; Linda Talbert PART IV: EMBODYING THEORY 11. An Investigation of Narratives of Anxiety; Chris Scott 12. Hauntings: On Discovering the Lived Experience of Counter-transference; Patrick Fegan 13. Working with Mark: Gender in the Consulting Room; Lynne Rollo 14. Tolerating the 'Chaos Monsters': Making Sense with Bion; Diana Sim.

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Book SynopsisHow to Use SPSS is designed with the novice computer user in mind and for people who have no previous experience of using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report.The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction.More than 250 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS the definitive, field-tested resource for learning SPSS.New to this edition: Fully updated to SPSS 24 and IBM SPSS Statistics Cloud New chapter on ANOVA New material on inter-rater reliability New material on syntax Additional coverage of data entry and management

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Book SynopsisThis card outlines the essential changes to the Modern Language Association's documentation style as described in the recently published 2016 MLA HANDBOOK, Eighth Edition.

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Book SynopsisThis book provides both an overview of, and an insight into, the rapidly expanding field of creative research methods. The contributors, from four continents, range from doctoral students through to independent and practice-based researchers to senior professors, providing a clear view of the applicability of creative research methods in all types of research work. Chapters offer examples of creative research methods in practice, and advice on how to transfer or adapt those methods for different disciplines and settings. Research ethics and research quality are considered throughout. This is a timely handbook which provides information for novice researchers and inspiration for experienced researchers, and is essential reading for anyone interested in creative research methods.Trade ReviewHelen Kara continues to lead the way in creative research methods. This handbook is a must-read for anyone interested in developing deeper knowledge of how to do research "differently". -- Nicole Brown, Associate Professor and Head of Research Ethics and Integrity, University College LondonKara has cultivated a transdisciplinary and international handbook that showcases a delightful range of creative research methods. Its practical advice, insightful examples, and range of resources are a gift to all those who want to incorporate artistic, narrative, visual, and performative angles into their research. -- Sarah J. Tracy, Arizona State University, USATable of ContentsList of Figures List of Tables List of Contributors Introduction, Helen Kara (Independent Researcher, UK) Part I: Overview 1. Creative Research Methods and Ethics, Su-ming Khoo (National University of Ireland, Ireland) 2. Creative Research Methods in the Geo-Political South, Bibek Dahal (University of Calgary, Canada), Suresh Gautam (Kathmandu University) 3. Digital Tools for Creative Data Analysis: Opportunities, Challenges, and Future Directions, Christina Silver (Qualitative Data Analysis Services, UK), Sarah L Bulloch (Qualitative Data Analysis Services, UK) and Michelle Salmona (Institute for Mixed Methods Research, Australia) 4. Human Geography and Creative Methods: Moving and Mapping, Nadia von Benzon (Lancaster University, UK) Part II: Narrative Inquiry 5. Understanding Intersectionality in a Metropolitan Space in India: Creative Data Methods Using Social Media, Paramjeet Chawla (Institute of Integrated Learning in Management, India), Gunjan Chandhok (University of Delhi, India) and Sonam Chandhok (University of Delhi, India) 6. Micro-Stories and Meaning-Making in Narrative Research, Kim Nelson-Miles (Torrens University, Australia) 7. The Use of Semiotics in Leadership Narrative Analysis, Lizana Oberholzer (University of East London, UK) and John Macklin (University of East London, UK) Part III: Poetic Analysis 8. Grappling with Poetry: Why to Start and How to Start, Zoe John (Swansea University, UK) 9. Discovering the Self-Voices of Authors and Speakers: A Text-Based Method for Exploring Pronouns via Regular Expressions, Robert Williams (Bennett College, USA) Part IV: Visual Methods 10. Ethnograms, Richy Cook (Bath Spa University, UK) 11. Presenting an Analytical Apparatus for Visual Imagery (AAVI) in Socially Engaged Research Practice, Karin Hannes (KU Leuven, Belgium) and Richard Siegesmund (Northern Illinois University, USA) Part V: Creating Visual Art 12. Creative Process: Visual and Material Sense Making in Research, Francesca Bernardi (Independent Researcher, UK) 13. Letting the Picture Tell the Story: Using Comics Capture Content as a Research Method, Bruce Mutard (Independent Researcher, Australia), Stuart Medley (Edith Cowan University, Australia) and Chris Kueh (Edith Cowan University, Australia) Part VI: Participatory Textiles 14. Stitching as Creative Method: An Autoethnographic Account, Susie Bass (University of Kent, UK) 15. Untangling Threads, Piecing Together, and Unpicking: The Possibilities and Barriers of Visual Vignettes in Trauma-Sensitive Research, Caroline Aldridge (Independent Researcher, UK) Part VII: Embodied Performative Methods 16. Pregnant Box: What Happens When Opera Enacts an Embodied Analysis of Concealing Pregnancy, Catherine Conlon (Trinity College, Ireland) and Evangelia Rigaki (Trinity College, Ireland) 17. Performance Art and Embodied Data Analysis in Arts-Based Sociological Research on Whiteness, Katalin Halász (Brunel University, UK) Part VIII: Participants as Experts 18. “I’ve got some more to add to that”: Using Creative Methods to Empower Autistic Young People to Tell their Stories, Ruth Moyse (University of Strathclyde, UK) 19. ‘A little bit of advice’: Working Creatively with Children and their Foster Carers to Explore how they Would Like To Share Their Experiences, Dawn Mannay (Cardiff University, UK), Rachael Vaughan (Cardiff University, UK), Maria Boffey (Fostering Network, UK) and Charlotte Wooders (Fostering Network, UK) Part IX: Creative Collaboration 20. Creative Research Methods in a Digital World: Problem-Solving and Collaboration in Research, Sharon McDonough (Federation University, Australia), Amanda Belton (University of Melbourne, Australia), Mark Selkrig (University of Melbourne, Australia) and Ron “Kim” Keamy (University of Melbourne, Australia) 21. ARTiculating an Ethical Position: A Group of art psychotherapists use a Collaborative Arts-Based (Research) Process to Set their Ethical Scene when Employing Creative Methods within Mental Health Research, Kelly Jayne (Teesside University, UK), Lydia Pell (Higher Education Consultant, Supervisor and Art Psychotherapist, UK), Nicki Power (East London NHS Foundation Trust, UK) and Amy Stanhope, (University of Derby, UK) 22. Ethno-Mimesis: Using Ethnography, Participatory Arts, Walking and Theatre in Ethical Research for Change, Maggie O’Neill (University College Cork, Ireland) and Catrina McHugh (Open Clasp Theatre Company, UK) Conclusion, Helen Kara (Independent Researcher, UK) Index

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Book SynopsisCritical theory has much to teach us about higher education. In this book, the contributors argue that, far from being overly abstract, critical tools and methods are central to contemporary scholarship and can have practical policy implications when brought to the study of higher education.Trade ReviewStudies authored by a solid array of seasoned scholars, newly minted doctorates, and doctoral students in the field from major institutions across the country... Most useful to institutions that host graduate programs in education to maintain research-level collections in the field. Choice At the heart of the book is the idea that linking critical theories, models, and methodologies with a self-aware critical version is essential to social action in higher education. Canadian Journal of Higher Education This book is a gem with a delicate vision to motivate scholars and teachers alike to engage in the noble--yet difficult--task of effecting change, especially the kind of transformation that advocates justice and nutures equity in higher education. Reflective TeachingTable of ContentsIntroduction1. Critical Discourse Analysis in Higher Education Policy Research2. Sense and Sensibility: Considering the Dynamic between Scholarship andLived Experiences3. A Critical Approach to Power in Higher Education4. A Critical Reframing of Human Capital Theory in US Higher Education5. The Ideas and Craft of the Critical Historian of Education6. The State and Contest in Higher Education in the Globalized Era: CriticalPerspectives7. Critical Policy Analysis, the Craft of Qualitative Research, and Analysis ofData on the Texas Top 10% Law8. Critical Action Research on Race and Equity in Higher Education9. Using Critical Race Theory to (Re)Interpret Widely Studied Topics Relatedto Students in US Higher Education10. Whose Structure, Whose Function? (Feminist) Poststructural Approaches inHigher Education Policy Research 011. A Critical Examination of the College Completion Agenda: AdvancingEquity in Higher Education12. The New Stratification: Differentiating Opportunity by Race and Class atCommunity Colleges in the United States13. The Transformative Paradigm: Principles and Challenges

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Book SynopsisThis is a comprehensive and accessible guide to the methods researchers use to study child language, written by experienced scholars in the study of language development. Presents a comprehensive survey of laboratory and naturalistic techniques used in the study of different domains of language, age ranges, and populations, and explains the questions addressed by each technique Presents new research methods, such as the use of functional Near Infrared Spectroscopy (fNIRS) to study the activity of the brain Expands on more traditional research methods such as collection, transcription, and coding of speech samples that have been transformed by new hardware and software Trade Review“Furthermore, the information presented throughout the book will be of immense benefits to an institution‘s library or to a lecturer or supervisor to provide for their students and researchers. Hence, Research Methods in Child Language is an essential tool for all in the field of child language.” (Infant & Child Development, 1 January 2014) “This book, though perhaps of limited use to individuals interested to learn more about a single method of research, since much of the book would therefore be irrelevant, will undoubtedly prove to be an invaluable resource for an institution’s library or for a lecturer or supervisor to provide for their students and researchers.” (Linguist, 2 July 2012)Table of ContentsList of Figures vii List of Plates viii Notes on Contributors ix Acknowledgments xv Preface xvi Part I Studying Infants and Others Using Nonverbal Methods 1 1 Habituation Procedures 3 Christopher T. Fennell 2 Intermodal Preferential Looking 17 Janina Piotroski and Letitia R. Naigles 3 The Looking-While-Listening Procedure 29 Daniel Swingley 4 Neuroimaging Methods 43 Ioulia Kovelman 5 Methods for Studying Language in Infants: Back to the Future 60 Roberta Michnick Golinkoff and Kathryn Hirsh-Pasek Part II Assessing Language Knowledge and Processes in Children Who Talk 77 6 Assessing Phonological Knowledge 79 Cynthia Core 7 Assessing Vocabulary Skills 100 Barbara Alexander Pan 8 Assessing Grammatical Knowledge (with Special Reference to the Graded Grammaticality Judgment Paradigm) 113 Ben Ambridge 9 Assessing Children's Narratives 133 Elaine Reese, Alison Sparks, and Sebastian Suggate 10 Using Judgment Tasks to Study Language Knowledge 149 David A. McKercher and Vikram K. Jaswal 11 Using Priming Procedures with Children 162 Marina Vasilyeva, Heidi Waterfall, and Ligia Gómez 12 Studying Language Processing Using Eye Movements 177 John C. Trueswell Part III Capturing Children's Language Experience and Language Production 191 13 Recording, Transcribing, and Coding Interaction 193 Meredith L. Rowe 14 Studying Gesture 208 Erica A. Cartmill, Özlem Ece Demir, and Susan Goldin-Meadow 15 Dense Sampling 226 Elena Lieven and Heike Behrens 16 Not Sampling, Getting It All 240 Letitia R. Naigles 17 Approaches to Studying Language in Preschool Classrooms 254 David K. Dickinson 18 Using the CHILDES Database 271 Roberta Corrigan Part IV Studying Multiple Languages and Special Populations 285 19 Crosslinguistic Research 287 Aylin C. Küntay 20 Studying Children in Bilingual Environments 300 Erika Hoff and Rosario Luz Rumiche 21 Studying Children with Language Impairment 317 Karla K. McGregor 22 Studying the Language Development of Children with Intellectual Disabilities 330 Leonard Abbeduto, Sara T. Kover, and Andrea McDuffie Index 347

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Book SynopsisResearch Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based on author James V. Spickard's decades of teaching experience.Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model's simplicity and power, effectively connecting the hows and whys behind social science research. Students using this book will learn how to turn their research questions into results.Trade Review"An extremely well organized text covering basics of research design and methods that consistently uses the six steps in the text and in examples to assure that students understand." -- Anne Rothstein"As Spickard explains, students tend to fear and shy away from research and particularly statistics courses. This textbook is designed in such a manner that it engages the student and keeps the student′s attention through case illustrations and an easy-to-read format." -- Manuel Zamora"It incorporates much of what must be pieced together from multiple resources into one text. The six-step strategy breaks the process down into manageable units, and it is clear to me how each step contributes to the overall process." -- Terry Webster"It′s a textbook with lots of unique features, such as question-method match, data type-analytical tool match, as well as ethical theory-practice match. It′s easy to follow and it acts as a textbook and a practical guide for undergraduate students. Chapters are organized as cooking recipes and examples are interesting and inspiring." -- Lei Zhang"Scholarly but not threatening to students who are scared of the word "research". The layout, language, and images make a challenging subject easier to understand and much less overwhelming." -- Timothy Gunnells"Research is hard. This text helps explain a complicated process and guides students through research design in simpler terms. As an instructor, I appreciate authors who understand the challenges associated with teaching research methods courses." -- Marquita Walker"While many research design texts struggle with integrating statistical applications within the broader design process, this text is a notable exception." -- Ryan McGill"A logical and thoughtfully designed text that brings together a preferred approach with the right amount of rigor." -- Robert H Buckham"A refreshing, holistic view of introductory research methods." -- Stephanie Morgan"This is an excellent introductory text for students that are interested in quantitative analysis. A nice feature of the book is that incorporates the increasingly important aspect of ethics in data collection and analysis." -- Andreas Kern"Clear, concise, conversational introduction to the basic principles and activities of research. Useful for students of research at any stage, and especially appropriate for students who are new to the design and performance of research projects." -- Neil Coulter· "Aimed at being easy to understand and to take some of the ‘scary’ out of the research process." -- Jessica Rack"Concise, comprehensive, and practical; its emphasis on ethics is clearly relevant within the context of studying human behavior within societies around the world." -- Patrick Webb"James Spickard′s SAGE′s Research Basics: Design to Data Analysis in Six Steps provides students the ability, confidence, and skill set to take a complex subject and make it theirs by owning it. How you ask? The text addresses the ′fear′ of research and its ′flight′ aspect; yet, by providing a moment to laugh and self-reflect both instructor and student become authentic partners in research methods for community change." -- Janine Spinola TaylorTable of ContentsFor Instructors: Why This Book? What Lies Ahead Acknowledgments About the Author Introduction Why a Six-Step Formula? Looking Ahead PART ONE THE SIX STEPS Chapter 1 Step 1: Develop a Good Research Question Start With a Research Topic From Topic to Question An Example: Mass Transit Making Decisions Search the Literature Recraft Your Research Question Questions Based on the Literature Three More Possibilities Start Your Research Proposal The Parts of a Proposal A Proposal in Brief: The Concept Paper Review Questions Notes Chapter 2 Step 2: Choose a Logical Structure for Your Research Three Examples 1. Comparing Outcomes 2. Systematic Description 3. Seeking Correlations Ten Logical Structures for Research 1. True Experiments 2. Quasi-Experiments 3. Ex Post Facto Research 4. Correlational Research 5. Descriptive Research 6. Case Studies 7. Historical Research 8. Longitudinal Research 9. Meta-Analysis 10. Action Research Matching Logical Structure to the Research Question Review Questions Notes Chapter 3 Step 3: Identify the Type of Data You Need Fourteen Types of Data 1. Acts, Behavior, or Events 2. Reports of Acts, Behavior, or Events 3. Economic Data 4. Organizational Data 5. Demographic Data 6. Self-Identity 7. Shallow Opinions and Attitudes 8. Deeply Held Opinions and Attitudes 9. Personal Feelings 10. Cultural Knowledge 11. Expert Knowledge 12. Personal and Psychological Traits 13. Experience as It Presents Itself to Consciousness 14. Hidden Social Patterns Review Questions Notes Chapter 4 Step 4: Pick a Data Collection Method Match Your Method to Your Data Data Type 1: Acts, Behavior, or Events Data Type 2: Reports of Acts, Behavior, or Events Data Types 3, 4, and 5: Economic, Organizational, and Demographic Data Data Type 6: Self-Identity Data Types 7 and 8: Shallow and Deeply Held Opinions and Attitudes Data Type 9: Personal Feelings Three Examples (that include data types 10-12) Example 1: Mass Transit and Property Values Example 2: Mass Transit and Street Life Example 3: Best Places to Work Data Type 13: Experience as It Presents Itself to Consciousness Hidden Social Patterns Research Ethics Unethical Research Implementing Ethical Practices Institutional Review Boards Review Questions Notes Chapter 5 Step 5: Choose Your Data Collection Site Demographic and Economic Data Opinions, Identities, and Reports of Acts at a Shallow Level Populations and Samples Sample Size, Margin of Error, and Confidence Level Observable Behavior Deeply Held Opinions and Attitudes Cultural and Expert Knowledge Hidden Social Patterns The Remaining Data Types Review Questions Notes Chapter 6 Step 6: Pick a Data Analysis Method Preliminary Questions What Kind of Analysis Does Your Research Question Require? What Form Does Your Data Take? What Is Your Unit of Observation? What Is Your Unit of Analysis? Working With Numeric Data: Describing Working With Numeric Data: Comparing Interval/Ratio Data Ordinal and Categorical Data Identifying Cause What Statistical Test Should I Use? Three Fallacies Working With Qualitative Data Respondent-Centered Versus Researcher-Centered Analysis Coding Internal Versus External Coding Qualitative Data Analysis (QDA) Software Warnings Review Questions Summarizing the Six Steps Notes PART TWO COLLECTING AND ANALYZING DIFFERENT TYPES OF DATA Chapter 7 Comparing: Economic, Demographic, and Organizational Data About Comparing Comparing San Antonio and Portland Comparing the 50 U.S. States About Correlations Three Examples Comparing Places: Do Walkable Neighborhoods Improve Health? Comparing Organizations: Does Treating Employees Well Increase Company Performance? Comparing Schools: Do Charter Schools Improve Student Test Scores? Research Ethics Review Questions Notes Chapter 8 Surveying: Shallow Opinions, Identities, and Reports of Acts Three Reminders Two Examples Studying School Safety Kids’ Attitudes Toward Reading Survey Data Analysis Analyzing Interval/Ratio Survey Results Analyzing Ordinal and Categorical Data Practical Matters Creating Your Questionnaire Sampling (Again) Surveying Online Research Ethics Review Questions Notes Chapter 9 Interviewing: Deep Talk to Gather Several Types of Data Hermeneutic Interviews An Example: “Motherloss” How to Write an Interview Protocol Coding Your Data Interviews With Experts Critical Incident Interviews Focus Groups Phenomenological Interviews An Example How Is It Done? Other Types of Data How Many Subjects? Research Ethics Review Questions Notes Chapter 10 Scales: Looking for Underlying Traits Scales of Psychological Well-Being Creating Scales Using the Scales Analyzing Scale Research T-Tests and Analysis of Variance Control Variables Research Ethics Review Questions Notes Chapter 11 Recording Behavior: Acts and Reports of Acts Watching People Watching Gender Speech Collecting Self-Reports A Variation: The Beeper Studies Watching Animals Watching Chimps Ravens and Elephant-Shrews What If They Hide? Experiments Experiments About Stereotype Threat Experiments About Discrimination Rules for Experiments Research Ethics Review Questions Notes Chapter 12 Finding Hidden Social Patterns: In Life, Texts, and Popular Culture About Hidden Patterns Analyzing Texts Dreams as Texts Other Texts Analyzing Discourses Critical Discourse Analysis Two Examples Analyzing Popular Culture: The Soaps Research Ethics Review Questions Notes Chapter 13 Ethnography: Exploring Cultural and Social Scenes The Three Goals Goal One: Seeing the World as the Participants See It Goal Two: Watching What Participants Do On Taking Field Notes Goal Three: Understanding Hidden Patterns What Doesn’t Matter Steps to a Successful Ethnography Gaining Access Developing Rapport Listening to Language Being an Observed Observer What About Objectivity? Writing Your Results A Word About Grounded Theory Research Ethics Review Questions Notes Chapter 14 Extended Example: Counting the Homeless What Caused the Homeless Crisis? Who Is Homeless? How Can We Find and Count Street Homeless? Peter Rossi’s Chicago Count Martha Burt’s Weeklong Method Counting San Bernardino Conflicting Results Correcting National Figures Research Ethics Reflections Summary of the Six Steps Notes Research Guides and Handouts Six-Steps Graphic: From Research Question to Data Analysis What Is a Concept Paper? How to Choose a Data Collection Method A Template for Field Notes How to Write an Interview Protocol How Many Subjects? (for interview studies) Interview Rule-of-Thumb Flowchart for Nonrandom Samples What Statistical Tests Should I Use? Glossary Author Index Subject Index

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Book SynopsisIntroduction to Research: Less Fright, More Insight helps students as they embark on their challenging and engaging academic pilgrimage. The publication provides students with an introduction to important research concepts and proper research vocabulary to go with those concepts, at an introductory level.While not a standard feature in research guides, the author integrates the opportunity for the reader to color within the publication as a tool for reducing anxiety, allowing the brain to focus, and providing a space for individual interaction and response.Introduction to Research: Less Fright, More Insight by Ray Crawford: Includes online access to twenty videos - providing explanations of technical vocabulary and concepts. Is designed as a vocabulary book. Readers will learn the vocabulary terms associated with research at an introductory level, the concepts that these terms represent, and ways the concepts relate to other concepts. Integrates a Proverb or other Scripture statement to illustrate concepts. This is intended to support a faith-friendly tone to the book.

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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Book Synopsis

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