Research methods / methodology Books

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Book SynopsisThis affordable student study guide and workbook to accompany Wendy J. Steinberg and Matthew Price’s Statistics Alive!, Third Edition, helps students get the added review and practice they need to improve their skills and master their Introduction to Statistics course. Bundle and SAVE! Student Study Guide to Accompany Statistics Alive!, Third Edition + Main Text ISBN: 978-1-0718-3088-8Table of ContentsModule 1. Math Review, Vocabulary, and Symbols Module 2. Measurement Scales Module 3. Frequency and Percentile Tables Module 4. Graphs and Plots Module 5. Mode, Median, and Mean Module 6. Range, Variance, and Standard Deviation Module 7. Percent Area and the Normal Curve Module 8. z Scores Module 9. Score Transformations and Their Effects Module 10. Probability Definitions and Theorems Module 11. The Binomial Distribution Module 12. Sampling, Variables, and Hypotheses Module 13. Errors and Significance Module 14. The z Score as a Hypothesis Test Module 15. Standard Error of the Mean Module 16. Normal Deviate Z Test Module 17. One-Sample t Test Module 18. Interpreting and Reporting One-Sample t: Error, Confidence, and Parameter Estimates Module 19. Standard Error of the Difference Between the Means Module 20. t Test With Independent Samples and Equal Sample Sizes Module 21. t Test With Unequal Sample Sizes Module 22. t Test With Related Samples Module 23. Interpreting and Reporting Two-Sample t: Error, Confidence, and Parameter Estimates Module 24. ANOVA Logic: Sums of Squares, Partitioning, and Mean Squares Module 25. One-Way ANOVA: Independent Samples and Equal Sample Sizes Module 26. Tukey HSD Test Module 27. Scheffé Test Module 28. Main Effects and Interaction Effects Module 29. Factorial ANOVA Module 30. One-Variable Chi-Square: Goodness of Fit Module 31. Two-Variable Chi-Square: Test of Independence Module 32. Measures of Effect Size Module 33. Power and the Factors Affecting It Module 34. Relationship Strength and Direction Module 35. Pearson r Module 36. Correlation Pitfalls Module 37. Linear Prediction Module 38. Standard Error of Prediction Module 39. Introduction to Multiple Regression Module 40. Selecting the Appropriate Analysis

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Book SynopsisResearch Design and Methods: An Applied Guide for the Scholar-Practitioner is written for students seeking advanced degrees who want to use evidence-based research to support their practice. This practical and accessible text addresses the foundational concepts of research design and methods; provides a more detailed exploration of designs and approaches popular with graduate students in applied disciplines; covers qualitative, quantitative, and mixed-methods designs; discusses ethical considerations and quality in research; and provides guidance on writing a research proposal.Trade Review"The chapters in this text are logically and clearly organized around levels of understanding that are intuitive and easy to follow. They offer dynamic examples that will keep students engaged. Readers will learn to connect theory and practice, helping them become better researchers, and better consumers of research." -- Lynette D. Nickleberry"Research Design and Methods: An Applied Guide for the Scholar-Practitioner is a must-read for both new and seasoned researchers. Every topic in the text is comprehensively explained with excellent examples." -- Francis Godwyll"This text provides clear and concise discussions of qualitative, quantitative, and mixed-methods research for the new scholar-practitioner. The use of questioning and visuals affords students the opportunity to make connections and reflect on their learning." -- Holly Haynes"The edited nature of this book provides a multitude of rich perspectives from well-respected authors. This book is a must-have for introductory research methods students." -- Eric D. Teman"This is an excellent read for anyone interested in understanding research, the book provides good clarity and practical examples…. It is a pragmatic book that translates research concepts into practice." -- Peter MemiahTable of ContentsForeword - Michael Quinn Patton Preface - Gary J. Burkholder, Linda M. Crawford, Kimberley A. Cox, and John H. Hitchcock Acknowledgments About the Editors About the Contributors Part I: Foundations in Research Design Chapter 1: Introduction to Research - Gary J. Burkholder Chapter 2: Philosophical Foundations and the Role of Theory in Research - Gary J. Burkholder and Patricia M. Burbank Chapter 3: Conceptual and Theoretical Frameworks in Research - Linda M. Crawford Part II: Research Design and Analysis Chapter 4: Quantitative Research Designs - Kimberley A. Cox Chapter 5: Quantitative Analysis - Justus J. Randolph Chapter 6: Qualitative Research Designs - Linda M. Crawford Chapter 7: Qualitative Analysis - Paul Mihas Chapter 8: Mixed Methods Designs and Approaches - Bonnie K. Nastasi Chapter 9: Mixed Methods Analysis - Sarah E. P. Munce and Anthony J. Onwuegbuzie Part III: Data Collection Chapter 10: Interviewing Essentials for New Researchers - Linda M. Crawford and Laura Knight Lynn Chapter 11: Survey Research - Kimberley A. Cox Part IV: Research Quality and Ethics Chapter 12: Quality Considerations - Molly S. Stewart and John H. Hitchcock Chapter 13: Ethical Considerations - Kimberley A. Cox Part V: Selected Research Designs and Approaches Chapter 14: Phenomenology - Paula Dawidowicz Chapter 15: Grounded Theory - Annie Pezalla Chapter 16: Case Study Research - Kurt Schoch Chapter 17: Program Evaluation - Louis Milanesi Chapter 18: Action Research - Craig A. Mertler Part VI: Writing and Disseminating Research Chapter 19: Critiquing and Synthesizing the Literature - Annie Pezalla Chapter 20: Writing the Research Proposal - Linda M. Crawford, Gary J. Burkholder, and Kimberley A. Cox Chapter 21: Disseminating Research: Cultivating a Healthy Dissemination Attitude Among New Scholars - John H. Hitchcock Index

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Book SynopsisDesigning research is about making decisions to transform an idea into a plan that can provide answers to a research problem or question. Thinking about, and then making these decisions results in the research design – the plan that will be followed to conduct the research and answer the question. This text engages in a dialogue with the reader, providing a serious but accessible introduction to research design, for use as a guide when designing your own research or when reading the research of others. Julianne Cheek and Elise Øby show that designing research is an iterative and reflexive process in which there is constant thinking through, and re-visiting of, decisions about that design as it develops. They use a variety of pedagogical devices throughout the book including Tip; Activity; and Putting it into Practice boxes to emphasize specific points and encourage readers to think about the practical implications of what they have learned.Trade ReviewThis is one of the clearest and most accessible research methods books I have read as a scholar. I highly recommend for both students and teachers alike. It is an excellent survey of both qualitative and quantitative research methods. -- Natalie Danielle BakerStudents writing a thesis or dissertation will benefit from this text′s approach to the development of and design of research. It provides a strong theoretical understanding of the process of moving from an idea to a research proposal to the final research project. A good addition to the library of someone who is doing research. -- Hugh ClarkThis book provides a detailed outline of research methods. The authors break the concepts and content into a manner in which it is easily understood by the reader. They also provide activities for the reader to use to apply the content. -- Jaimee L. HartensteinThe authors describe the complexities of research and clearly describe the many details that go into a well-designed and executed study. They have done an amazing job describing the process of research design. Any student learning about research will benefit from this book. -- Lauren HaysThis is an excellent text for those instructors who recognize the importance of giving research design more comprehensive treatment than is typical of most textbooks. -- Scott LiebertzI will add this book as required reading for my course and personally add this to my collection of research material to aid in my writing and evaluation projects. -- Sherill Morris-FrancisThis text is a very approachable conversation-based introduction to research design for social science students. It provides an inviting approach to the research process that draws the reader in as a participant instead of a spectator. It’s focus on research as an iterative and reflexive process rather than a linear set of steps is refreshing. It engages the reader in the process and introduces questions to assist in understanding the complexity and interconnectivity of each part of the process. -- Isla A. Schuchs CarrTable of ContentsChapter 1 – Research Design: What You Need to Think About and Why Chapter 2 – Ethical Issues in Research Design Chapter 3 – Developing Your Research Questions Chapter 4 – Why Methodology Matters When Designing Research Chapter 5 – Qualitative and Quantitative Approaches to Designing Research Chapter 6 – Obtaining Data Using Qualitative Approaches Chapter 7 – Analyzing and Interpreting Qualitative Data Chapter 8 – Foundational Design Issues When Using Quantitative Methods Chapter 9 – Collecting Data Using Quantiative Methods Chapter 10 – Designing Research Using Mixed Methods Chapter 11 – Why Knowing and Declaring Your Research Design Hand Matters

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Book SynopsisData Science for Business with R, written by Jeffrey S. Saltz and Jeffrey M. Stanton, focuses on the concepts foundational for students starting a business analytics or data science degree program. To keep the book practical and applied, the authors feature a running case using a global airline business’s customer survey dataset to illustrate how to turn data in business decisions, in addition to numerous examples throughout. To aid in usability beyond the classroom, the text features full integration of freely-available R and RStudio software, one of the most popular data science tools available. Designed for students with little to no experience in related areas like computer science, the book chapters follow a logical order from introduction and installation of R and RStudio, working with data architecture, undertaking data collection, performing data analysis, and transitioning to data archiving and presentation. Each chapter follows a familiar structure, starting with learning objectives and background, following the basic steps of functions alongside simple examples, applying these functions to the case study, and ending with chapter challenge questions, sources, and a list of R functions so students know what to expect in each step of their data science course. Data Science for Business with R provides readers with a straightforward and applied guide to this new and evolving field. Table of ContentsIntroduction: Data Science, Many Skills Chapter 1: Getting Started with R & RStudio Chapter 2: Rows and Columns Chapter 3: Data Munging Chapter 4: What’s My Function? Chapter 5: Beer, Farms, and Peas and the Use of Statistics Chapter 6: Sample in a Jar Chapter 7: Storage Wars Chapter 8: Pictures vs. Numbers Chapter 9: Map Mashup Chapter 10: Lining Up Our Models Chapter 11: What’s Your Vector, Victor? Chapter 12: Hi Ho, Hi Ho—Data Mining We Go Chapter 13: Word Perfect (Text Mining) Chapter 14: Shiny Web Apps Chapter 15: Time for a Deep Dive

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Book Synopsis"This comprehensive, practical, user-friendly book provides a wealth of data analysis strategies that are essential for any qualitative research. It is a must-have tool book for moving from data analysis to writing for publication!" –Guofang Li, University of British Columbia, Canada Miles, Huberman, and Saldaña’s Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and displaying qualitative research data. The Fourth Edition maintains the analytic rigor of previous editions while showcasing a variety of new visual display models for qualitative inquiry. Graphics are added to the now-classic matrix and network illustrations of the original co-authors. Five chapters have been substantially revised, and the appendix’s annotated bibliography includes new titles in research methods. Graduate students and established scholars from all disciplines will find this resource an innovative compendium of ideas for the representation and presentation of qualitative data. As the authors demonstrate, when researchers "think display," their analyses of social life capture the complex and vivid processes of the people and institutions studied.Table of ContentsPreface to the Fourth Edition Part 1: The Substantive Start Chapter 1: Introduction The Purpose of This Book The Nature of This Book Our Orientation An Approach to Qualitative Data Analysis The Nature of Qualitative Data Analysis Our View of Qualitative Data Analysis Suggestions for Readers Closure and Transition Chapter 2: Research Design and Data Management Introduction Loose Versus Tight Research Designs Displaying the Conceptual Framework Methodologies (Genres) of Qualitative Research Formulating Research Questions Defining the Case Sampling: Bounding the Collection of Data Instrumentation Linking Qualitative and Quantitative Data Data Management Issues Bearing on Analysis Closure and Transition Chapter 3: Ethical Issues in Analysis Introduction Agreements with Study Participants Ethical Issues Conflicts, Dilemmas, and Trade-Offs Closure and Transition Chapter 4: Fundamentals of Qualitative Data Analysis Introduction First Cycle Codes and Coding Second Cycle Coding - Pattern Codes Jottings Analytic Memoing Within-Case and Cross-Case Analysis Closure and Transition Part Two: Displaying the Data Chapter 5: Designing Matrix, Network, and Graphic Displays Introduction Display Format Options Matrices Networks Graphics Timing of Display Design Entering Matrix, Network, and Graphic Data Making Inferences and Drawing Conclusions from Matrix, Network, and Graphic Displays The Methods Profiles Closure and Transition Chapter 6: Methods of Exploring Introduction Exploring Fieldwork in Progress Exploring Variables Exploring Reports in Progress Closure and Transition Chapter 7: Methods of Describing Introduction Describing Participants Describing Validity Describing Variability Describing Actions Closure and Transition Chapter 8: Methods of Ordering Introduction Ordering by Time Ordering Processes Ordering by Cases Closure and Transition Chapter 9: Methods of Explaining Introduction Antecedent Conditions, Mediating Variables, and Outcomes On Causation and Explanation Explaining Interrelationship Explaining Change Explaining Causation Closure and Transition Chapter 10: Methods of Predicting Introduction Methods of Predicting Closure and Transition Part 3: Making Good Sense Chapter 11: Drawing and Verifying Conclusions Introduction Tactics for Generating Meaning Tactics for Testing or Confirming Findings Standards for the Quality of Conclusions Analytic Documentation Closure and Transition Chapter 12: Writing About Qualitative Research Introduction Audiences and Effects Voices and Styles Writing Examples and Recommendations Traditional Presentation Modes Progressive Presentation Modes On Theses and Disseratations Chapter 13: Closure Qualitative Analysis at a Glance Reflections Final Advice Appendix: An Annotated Bibliography of Qualitative Research Methods Resources Index

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Book SynopsisThis text provides comprehensive coverage of the key methods for analyzing, interpreting, and writing up qualitative research in a single volume, and drawing on the expertise of major names in the field. Covering all the steps in the process of analyzing, interpreting, and presenting findings in qualitative research, the authors utilize a consistent chapter structure that provides novice and seasoned researchers with pragmatic, "how-to" strategies. Each chapter introduces the method; uses one of the authors′ own research projects as a case study of the method described; shows how the specific analytic method can be used in other types of studies; and concludes with questions and activities to prompt class discussion or personal study.Trade ReviewThis book is a great addition to the library of qualitative books for use with graduate students. Each chapter has examples to use and offers the nuance and complexities that are inherent in qualitative inquiry. -- Anne M. HornakAs an instructor of qualitative research courses, I know this text will be immediately useful for my students. Each chapter calls to mind a student who could benefit from its contents. The whole book is written in a way that’s accessible and down-to-earth and it will appeal to graduate students especially; I’ve picked up some new techniques, as well. -- Jane WestA complete guide for qualitative researchers – emerging or experienced. New ways to think about the vital role of qualitative studies! -- Jacalyn M. GriffenThe chapter authors provide clear, practical, and vibrant examples of their strategies. Individually, each chapter gives care to how the authors have used the strategy in the past. Collectively, the chapters provide a wealth of unique and innovative analysis approaches for all qualitative researchers to consider. -- Peggy Shannon-BakerTable of ContentsIntroduction - Charles Vanover, Paul Mihas, and Johnny Saldaña SECTION 1: DATA AND CONCEPTUAL OPTIONS - Charles Vanover and Paul Mihas Chapter 1: As A Qualitative Study Unfolds: Shifts in Design and Analysis - Gerardo L. Blanco & Gretchen B. Rossman Chapter 2: Using Qualitative Data Analysis Software to Manage the Research Process - Jessica N. Lester & Trena M. Paulus Chapter 3: After Someone Else’s Interview - Sheryl L. Chatfield SECTION 2: INTERVIEW TRANSCRIPTION STRATEGIES - Charles Vanover Chapter 4: Transcription as a Form of Qualitative Inquiry - Charles Vanover Chapter 5: Theories and Practices of Transcription from Discourse Analysis - Mariaelena Bartesaghi Chapter 6: Voice to Text: Automating Transcription - Silvana di Gregorio SECTION 3: STRATEGIES FOR CODING AND CATEGORIZING DATA - Paul Mihas Chapter 7: Coding System Design and Management - Daniel Turner Chapter 8: Deductive and Inductive Approaches to Qualitative Data Analysis - Andrea J. Bingham & Patricia Witkowsky Chapter 9: Coding, Categorizing, and Theming the Data: A Reflexive Search for Meaning - Janet C. Richards Chapter 10: Oral Coding: An Alternative Way to Make Sense of Interview Data - James A. Bernauer Chapter 11: Mapping Trajectories: Analyzing and Interpreting Focus Group Data Rhizomatically - Alyson Welker & George Kamberelis Chapter 12: Analyzing and Coding Interviews and Focus Groups Considering Cross-Cultural and Cross-Language Data - Elsa M. Gonzalez and Yvonna S. Lincoln SECTION 4: REFLECTION AND ANALYTIC MEMOING STRATEGIES - Paul Mihas Chapter 13: On Being a Researcher-Participant: Challenges With the Iterative Process of Data Production, Analysis and (Re)Production - Craig M. McGill, Drew Puroway, and Mark Duslak Chapter 14: Memo Writing Strategies: Analyzing the Parts and the Whole - Paul Mihas Chapter 15: Critical Analytic Memoing - Elaine Keane SECTION 5: INTERPRETIVE STRATEGIES - Paul Mihas Chapter 16: Listening Deeply: Indexing Research Conversations - Jaime L. Fiddler Chapter 17: Emergent Analysis: Strategies for Making Sense of an Evolving Longitudinal Study - Adrian Larbi-Cherif, Cori Egan, Joshua L. Glazer Chapter 18: Making Claims Using Qualitative Data - Tim Huffman SECTION 6: ARTS-BASED PRACTICES - Johnny Saldaña Chapter 19: Dramatizing Interviews - Johnny Saldaña Chapter 20: What Makes an Effective Teacher? Revealing Good Teaching Practice Through Poetic Transcription - Robyn Shenfield & Monica Prendergast Chapter 21: Embedding Critical, Creative, and Contemplative Data Analysis in Interview Studies - Kakali Bhattacharya Chapter 22: Follow the Headlights: On Comics-Based Data Analysis - Sally Campbell Galman SECTION 7: WRITING-UP PRACTICES - Paul Mihas Chapter 23: Turning Transcripts into Stories - Aishath Nasheeda, Haslinda Binti Abdullah, Steven Eric Krauss, Nobaya Binti Ahmed Chapter 24: Writing for a Broad Audience: White Papers, Blogs, and OpEds - Jessica Smartt Gullion Chapter 25: Sophie’s Choices: The Social Act of Publishing a Qualitative Study - Mitchell Allen Conclusion - Paul Mihas, Johnny Saldaña, and Charles Vanover

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Book SynopsisBusiness educators use cases to give students the experience of solving real challenges while standing in the shoes of real-life business leaders and asking ‘why?’. In this landmark new book, Gabriel also begins by asking ‘why?’: Why would anyone teach with cases? Why should adult students learn through cases? Why is case teaching important in the higher education classrooms of today’s world? Readers will be guided through the different aspects of teaching and learning with cases in multiple contexts, and will come to understand the ‘why’, the pedagogy and underpinning philosophy of case teaching. This is the first book for educators that combines case pedagogy at a philosophical level with evidence from practical experience into a single volume. It is an implementation ready resource that converges with a time of change in the field of education, as a result of the COVID-19 pandemic.Table of ContentsSection I. Theory (Why I Teach with Cases) Chapter 1. Why I Teach with Cases Chapter 2. The Case for Cases as Pedagogy Section II. Practice (How I Teach with Cases) Chapter 3. Implicit and Deep Structures: Case Selection and Preparation Chapter 4. Building Surface Structures Chapter 5. Leading a Case Teaching Team Section III. Useful Resources Chapter 6. Useful Case-Teaching Resources

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Book SynopsisJoin our mailing list Qualitative Research for the Information Professional, 2nd editionA practical handbook G. E. Gorman and Peter ClaytonAbout the book Table of contents Reviews About the author This established text is the only introduction to qualitative research methodologies in the field of library and information management. Its extensive coverage encompasses all aspects of qualitative research work from conception to completion, and all types of study in a variety of settings from multi-site projects to data organization. The book features many case studies and examples, and offers a comprehensive manual of practice designed for LIS professionals. This new edition has been thoroughly revised and includes three new chapters. It has been updated to take account of the substantial growth in the amount and quality of web-based information relevant to qualitative research methods and practice, and the many developments in software applications and resources. The authors have identified a clear need for a new chapter on the evaluation of existing research, as a gateway into new research for information professionals. The final chapter, 'Human Resources In Knowledge Management', takes the form of a model case study, and is an 'ideal' qualitative investigation in an information setting. It exemplifies many of the approaches to qualitative research discussed in earlier chapters. Readership: Directed primarily at the beginner researcher, this book also offers a practical refresher in this important area for the more experienced researcher. It is a useful tool for all practitioners and researchers in information organizations, whether libraries, archives, knowledge management centres, record management centres, or any other type of information service provider.1. The nature of qualitative research 2. Evaluating qualitative research 3. Qualitative research design in information organizations 4. Case studies in information organizations 5. Laying the foundations for fieldwork 6. Beginning fieldwork 7. Observation 8. Interviewing 9. Group discussion techniques 10. Historical investigation - Sydney J. Shep 11. Recording fieldwork data 12. Analysing qualitative data from information organizations 13. Writing qualitative research reports 14. Human resources in knowledge management: a case study 15. Select bibliography - Adela ClaytonTrade Review"All the chapters in the book are not only well-written, they also are well integrated and the reader is taken from one aspect of qualitative research discussed in one chapter to the next topic discussed in the following chapter. Each chapter begins with a set of review questions and ends with a set of questions that lead to the following chapter. A number of scenarios have been used to illustrate the theme and the topics discussed in the chapters. The book is intended for the information professionals – students as well as practitioners – and aims to provide a practical guide to qualitative research in an information environment. The second edition has definitely succeeded in reaching its objective, and this book should be read by every information professional who has any interests in information science research." -- Online Information ReviewTable of Contents1. The nature of qualitative research 2. Evaluating qualitative research 3. Qualitative research design in information organizations 4. Case studies in information organizations 5. Laying the foundations for fieldwork 6. Beginning fieldwork 7. Observation 8. Interviewing 9. Group discussion techniques 10. Historical investigation - Sydney J. Shep 11. Recording fieldwork data 12. Analysing qualitative data from information organizations 13. Writing qualitative research reports 14. Human resources in knowledge management: a case study 15. Select bibliography - Adela Clayton

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Book SynopsisThis essential book is perfect for all social work and health and social care students, as well as early-career practitioners, aiming to deepen their knowledge and skills in conducting robust, ethical, and relevant developmental research. At undergraduate level students encounter various forms of research, yet formal research training is often lacking. This book aims to fill that gap by supporting students and early-career practitioners with the knowledge, skills and understanding required to conductsound research. Accessibly written, it is structured to allow professionals and students to engage in the theoretical development of their practice in ethical and reflective research. Each chapter incorporates student voices, featuring vignettes from health and social care students that highlight their personal journeys with research engagement. Content includes:exploring the everyday nature of research, processes, procedures and analysis;demystifying key terminology;an introduction to research and its importance in practice;creative and traditional tools of research;analysing data and how to disseminate data;approaches to research;embedding research into practice. Discussions around key theoretical ideas are explored throughout as well as opportunities for deep reflection.

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Book SynopsisTrade Review"Winner of the James Harvey Robinson Prize, American Historical Association""A Choice Outstanding Academic Title of the Year""This volume is a complete and sophisticated addition to any scholar’s library and a boon to the curious layperson. . . . [A] major achievement." * Choice Reviews *"This book is quite simply a gem. . . . Schrag’s accessible style and comprehensive treatment of the field make this book a valuable resource."---Alan Sears, Canadian Journal of History

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Book SynopsisMost scientists and researchers aren't prepared to talk to the press or to policymakers - or to deal with backlash. And many researchers have the horror stories to prove it. As Nancy Baron points out, scientists who decide they want to inform those outside their own research arena and help guide public discourse need to learn a new set of skills. No matter what your scientific specialty is, writes Baron, the keys to success are thinking clearly, knowing what you want to say, understanding your audience, and using everyday language to get your main points across. Developing these skills is the object of this book. According to Baron, scientists, journalists and policymakers represent three very different cultures. Speaking effectively to journalists and policymakers - the people who make scientists' findings available to the general public - requires scientists to learn a new language. In this clear and understandable guide to 'communicating science', Baron explains to scientists how to engage an audience, how to tell why a particular finding matters, and how to describe research in an interesting way. She explains to journalists how to develop the same skills for explaining science. The book includes case studies from journalists and from some of the more than 4,000 scientists Baron has trained in communication workshops. Many of her trainees have gone on to become well-known spokespeople for science-related issues. The book is accompanied by an interactive website maintained by Baron herself.

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Book SynopsisMastering the basic concepts of mathematics is the key to understanding other subjects such as Economics, Finance, Statistics, and Accounting. Mathematics for Finance, Business and Economics is written informally for easy comprehension. Unlike traditional textbooks it provides a combination of explanations, exploration and real-life applications of major concepts. Mathematics for Finance, Business and Economics discusses elementary mathematical operations, linear and non-linear functions and equations, differentiation and optimization, economic functions, summation, percentages and interest, arithmetic and geometric series, present and future values of annuities, matrices and Markov chains. Aided by the discussion of real-world problems and solutions, students across the business and economics disciplines will find this textbook perfect for gaining an understanding of a core plank of their studies.Table of Contents1. Elementary Mathematical Concepts and Operations 2. Linear Equations 3. Non-Linear Functions and Equations 4. Functions and Differentiation 5. Economic Application of Functions and Differentiation 6. Summation, Percentages and Interest 7. Arithmetic and Geometric Series 8. Annuity and Amortization 9. Matrices and Markov Chains

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Book SynopsisJo-ann Archibald (Q'um Q'um Xiiem) is scholar and educational practitioner from the Sto:lo and St'at'imc First Nations in British Columbia, Canada. She is professor emeritus in the Educational Studies Department at the UBC Faculty of Education. She was previously the Associate Dean of Indigenous Education, and the Director of NITEP (UBC's Indigenous Teacher Education Program). She is the author of Indigenous Storywork: Educating the Heart, Mind, Body, and Spirit (2008).Jenny Bol Jun Lee-Morgan is a Maori scholar and educational practitioner. Her tribal affiliations are to Ngati Mahuta, Waikato-Tainui. She is a Professor of Maori Research, and Director of Nga Wai a te Tui Maori and Indigenous Research, Unitec Institute of Technology, New Zealand. She previously served as deputy director of the Kotahi Research Institute, The University, and as the head of the School of Maori Education (Te Puna Wananga), The University of Auckland. Her previous works include: co-edited book DecoTable of ContentsAbout the editors Acknowledgements Foreword by Linda Tuhiwai Smith Introduction: decolonizing research: Indigenous storywork as methodology - Jo-ann Archibald Q’um Q’um Xiiem, Jenny Bol Jun, Lee-Morgan and Jason De Santolo PART I: INDIGENOUS STORYWORK IN CANADA - Jo-ann Archibald Q’um Q’um Xiiem 1 Following the song of k’aad ‘aww: using Indigenous storywork principles to guide ethical practices in research - Sara Florence Davidson 2 Indigenous visual storywork for Indigenous film aesthetics - Dorothy Christian 3 Le7 Q’7es te Stsptekwll re Secwépemc: our memories long ago - Georgina Martin and Elder Jean William 4 Transformative education for Aboriginal mathematics learning: Indigenous storywork as methodology - Jo-ann Archibald Q’um Q’um Xiiem, Cynthia Nicol, and Joanne Yovanovich PART II: INDIGENOUS STORYWORK IN AOTEAROA NEW ZEALAND Jenny Bol Jun Lee-Morgan 5 “He would not listen to a woman”: decolonizing gender through the power of purakau - Hayley Marama Cavino 6 Naming our names and telling our stories - Joeliee Seed-Pihama 7 Indigenous law/stories: an approach to working with Maori law - Carwyn Jones 8 Whanau storytelling as Indigenous pedagogy: tiakina te pa harakeke - Leonie Pihama, Donna Campbell, and Hineitimoana Greensill 9 Purakau from the inside-out: regenerating stories for cultural sustainability - Jenny Bol Jun Lee-Morgan Maori Glossary PART III: INDIGENOUS STORYWORK IN AUSTRALIA - Jason De Santolo 10 Indigenous storytelling: decolonizing institutions and assertive self-determination: implications for legal practice - Larissa Behrendt 11 The limits of literary theory and the possibilities of storywork for Aboriginal literature in Australia - Evelyn Araluen Corr 12 Lilyology as a transformative framework for decolonizing ethical spaces within the academy - Nerida Blair 13 Putting the people back into the country - Victor Steffensen 14 The emergence of Yarnbar Jarngkurr from Indigenous homelands: a creative Indigenous methodology - Jason De Santolo Author biographies Index

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Book SynopsisExercises and activities to help you move past what''s holding you back, in work and life.You want to get fit, but you keep putting it off. Your career is stalled out, and you''re not sure how to give it a jump. You fall into the same unhealthy relationship patterns over and over. If you''ve been in any of these scenarios, you know what it means to be stuck-but you don''t have to stay that way.You''re not lazy and you''re not unmotivated. You just need the right set of tools. And Britt Frank uses her background as a clinician, educator, and trauma specialist to bring you a whole new tool kit with this interactive workbook. Inside you''ll find questionnaires, writing prompts, and other practical, step-by-step exercises to help you:-break bad habits-communicate more skillfully-stop the war in your head-hold healthy boundaries-restore your sense of choiceTake control of your actions and the life you want to live with The Getting

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Book SynopsisPraise for the First Edition : "The book makes a valuable contribution by synthesizing current research and identifying areas for future investigation for each aspect of the survey process. " - Journal of the American Statistical Association "Overall, the high quality of the text material is matched by the quality of writing...Table of ContentsPREFACE TO THE FIRST EDITION xv PREFACE TO THE SECOND EDITION xix ACKNOWLEDGEMENTS xxi CHAPTER 1. AN INTRODUCTION TO SURVEY METHODOLOGY 1.1 Introduction 2 1.2 A Brief History of Survey Research 3 1.3 Some Examples of Ongoing Surveys 7 1.4 What is Survey Methodology? 30 1.5 The Challenge of Survey Methodology 32 1.6 About this Book 34 CHAPTER 2. INFERENCE AND ERROR IN SURVEYS 2.1 Introduction 39 2.2 The Lifecycle of a Survey From a Design Perspective 41 2.3 The Lifecycle of a Survey from A Quality Perspective 49 2.4 Putting It All Together 60 2.5 Error Notions in Different Kinds of Statistics 61 2.6 Nonstatistical Notions of Survey Quality 62 2.7 Summary 63 CHAPTER 3. TARGET POPULATIONS, SAMPLING FRAMES, AND COVERAGE ERROR 3.1 Introduction 69 3.2 Populations and Frames 69 3.3 Coverage Properties of Sampling Frames 72 3.4 Alternative Frames for the Target Population of Households or Persons 81 3.5 Frame Issues for Other Common Target Populations 84 3.6 Coverage Error 87 3.7 Reducing Undercoverage 88 3.8 Summary 94 CHAPTER 4. SAMPLE DESIGN AND SAMPLING ERROR 4.1 Introduction 97 4.2 Samples and Estimates 99 4.3 Simple Random Sampling 103 4.4 Cluster Sampling 106 4.5 Stratification and Stratified Sampling 113 4.6 Systematic Selection 123 4.7 Complications in Practice 125 4.8 Sampling US Telephone Households 133 4.9 Selecting Persons Within Households 136 4.10 Summary 138 CHAPTER 5. METHODS OF DATA COLLECTION 5.1 Alternative Methods of Data Collection 150 5.2 Choosing the Appropriate Method 159 5.3 Effects of Different Data Collection Methods on Survey Errors 160 5.4 Using Multiple Modes of Data Collection 175 5.5 Summary 177 CHAPTER 6. NONRESPONSE IN SAMPLE SURVEYS 6.1 Introduction 183 6.2 Response Rates 183 6.3 Impact of Nonresponse on the Quality of Survey Estimates 189 6.4 Thinking Causally About Survey Nonresponse Error 191 6.5 Dissecting the Nonresponse Phenomenon 192 6.6 Design Features to Reduce Unit Nonresponse 201 6.7 Item Nonresponse 208 6.8 Are Nonresponse Propensities Related to Other Error Sources? 210 6.9 Summary 210 CHAPTER 7. QUESTIONS AND ANSWERS IN SURVEYS 7.1 Alternatives Methods of Survey Measurement 217 7.2 Cognitive Processes in Answering Questions 218 7.3 Problems in Answering Survey Questions 225 7.4 Guidelines for Writing Good Questions 242 7.5 Summary 252 CHAPTER 8. EVALUATING SURVEY QUESTIONS 8.1 Introduction 259 8.2 Expert Reviews 260 8.3 Focus Groups 261 8.4 Cognitive Interviews 263 8.5 Field Pretests and Behavior Coding 265 8.6 Randomized or Split-Ballot Experiments 267 8.7 Applying Question Standards 268 8.8 Summary of Question Evaluation Tools 269 8.9 Linking Concepts of Measurement Quality to Statistical Estimates 274 8.10 Summary 286 CHAPTER 9. SURVEY INTERVIEWING 9.1 The Role of the Interviewer 291 9.2 Interviewer Bias 292 9.3 Interviewer Variance 295 9.4 Strategies for Reducing Interviewer Bias 300 9.5 Strategies for Reducing Interviewer-Related Variance 302 9.6 The Controversy About Standardized Interviewing 312 9.7 Interviewer Management 315 9.8 Validating the Work of Interviewers 319 9.9 The Use of Recorded Voices (and Faces) in Data Collection 322 9.10 Summary 323 CHAPTER 10. POSTCOLLECTION PROCESSING OF SURVEY DATA 10.1 Introduction 329 10.2 Coding 331 10.3 Entering Numeric Data into Files 344 10.4 Editing 345 10.5 Weighting 347 10.6 Imputation for Item-missing data 354 10.7 Sampling Variance Estimation for Complex Samples 359 10.8 Survey Data Documentation and Metadata 363 10.9 Summary 365 CHAPTER 11. PRINCIPLES AND PRACTICES RELATED TO ETHICAL RESEARCH 11.1 Introduction 371 11.2 Standards for the Conduct of Research 371 11.3 Standards for Dealing with Clients 374 11.4 Standards for Dealing with the Public 375 11.5 Standards for Dealing with Respondents 376 11.6 Emerging Ethical Issues 384 11.7 Research About Ethical Issues in Surveys 384 11.8 Administrative and Technical Procedures for Safe-Guarding Confidentiality 392 11.9 Summary and Conclusions 398 Keywords For More In-Depth Reading Exercises CHAPTER 12. FAQS ABOUT SURVEY METHODOLOGY 12.1 Introduction 405 12.2 The Questions and Their Answers 405 REFERENCES 421 INDEX 451

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Book SynopsisThe Dress Detective is the first practical guide to analyzing fashion objects, clearly demonstrating how their close analysis can enhance and enrich interdisciplinary research. This accessible book provides readers with the tools to uncover the hidden stories in garments, setting out a carefully developed research methodology specific to dress, and providing easy-to-use checklists that guide the reader through the process. Beautifully illustrated, the book contains seven case studies of fashionable Western garments ranging from an 1820s coat to a 2004 Kenzo jacket that articulate the methodological framework for the process, illustrate the use of the checklists, and show how evidence from the garment itself can be used to corroborate theories of dress or fashion.This book outlines a skillset that has, until now, typically been passed on informally. Written in plain language, it will give any budding fashion historian, curator, or researcher the knowledge and confidence to anaTrade ReviewDetective work is integral to fashion history research, yet very little has been written on how to go about it. Ingrid Mida and Alexandra Kim fill that gap in the bookshelf with The Dress Detective. … A concise, well organized, and extremely accessible book that deserves a place on the bookshelf of anyone interested in fashion research. -- Katy Werlin * The Fashion Historian *Both accessible and academic and a significant contribution to the study of [the history of Western dress] ... This book is well designed and a pleasure to look at. It functions as a practical manual, a ‘how to’ book, a reference work and an enjoyable read for anyone interested in this subject. * Costume *Enormously useful for the budding fashion historian or curator, this publication provides a textbook approach to the study of dress artefacts as a source for research. The authors, both of whom have curatorial backgrounds, provide a practice-based framework and a range of interesting case studies to instruct readers in the methods for observing and reflecting upon objects of dress. This accessible guide will surely become a crucial source for students of fashion studies. * Catwalk: The Journal of Fashion, Beauty and Style *For post-secondary students on fashion courses with access to study garments, or for the novice researcher investigating in a museum or private collection, this book would be an invaluable resource. Even individuals with experience in handling fashion objects may glean new tips, or be reminded of best practice when closely examining dress objects, or in relating these findings to broader socio-economic, historical, or theoretical contexts. This book would also be a useful addition to the shelf of fashion collections in museums, to assist when training staff and volunteers in collection inventory or exhibit preparation. The Dress Detective gives clear clues to becoming a sartorial sleuth. * Museum & Society *The Dress Detective provides an easy-to-use guide for how to look at a dress object and to consider its meaning. The framework, which the authors call “a slow approach to seeing,” involves three steps: observation, reflection, and interpretation. It is a revision of Prown’s model of description, deduction, and speculation. * ITAA Online *For the first time, The Dress Detective offers a clear and systematic framework for the object-based study of dress. Advocating a ‘Slow Approach to Seeing’, it arms readers with the tools to learn this important research skill while encouraging them through well-chosen case studies to measure their findings against inter-disciplinary and theoretical writing on fashion. * Edwina Ehrman, Fashion Curator and Historian, UK *This is the book we have been waiting for without realizing it! The Dress Detective offers a rigorous and entirely accessible guide to examining and thinking about dress using objects as evidence. Case studies and checklists guide the reader – specialist and non-specialist alike – to explore and articulate garment construction, materials, design, alterations and the nuances of wear. I have no doubt it will become a seminal text. * Amy de la Haye, Joint Director of the Centre for Fashion Curation, London College of Fashion, UK *The Dress Detective is a smart, accessible text that provides a long-overdue methodology for examining clothing and accessories. This book is essential for new students, but its concise framework will also be useful to seasoned researchers. Diverse, thorough case studies demonstrate the combination of visual analysis, history, and theory that is crucial to fashion studies today. * Colleen Hill, Associate Curator, The Museum at FIT, New York, USA *A long–anticipated guide to object–based dress research … I recommend this outstanding volume to students and faculty alike. * The Journal of Dress History *This book operates as a kind of practical aid, offering a comprehensive methodological framework to both scholars and students. * Textile History *Table of ContentsForeword, Jean L. Druesedow, Kent State University Museum, USA Acknowledgments Introduction Chapter 1: A Brief History of Object-based Research with Dress Artifacts Chapter 2: How to Read a Dress Artifact Chapter 3: Observation Chapter 4: Reflection Chapter 5: Interpretation Chapter 6: Case Study of a Yellow Woolen Pelisse Chapter 7: Case Study of a Gray-blue Sateen Corset Chapter 8: Case Study of a Brown Velveteen and Wool Bodice Chapter 9: Case study of a Man’s Evening Suit Tailcoat and Trousers Chapter 10: Case Study of a Lanvin Wedding Dress and Headpiece Chapter 11: Case Study of a Ruby Red Velvet Jacket by Christian Dior Chapter 12: Case study of a Kimono-Style Jacket by Kenzo Appendix 1: Checklist for Observation Appendix 2: Checklist for Reflection Index

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Book SynopsisTrade Review"Co-Winner of the Silver Medal in Business Technology, Axiom Business Book Awards""One of the Financial Times' Summer Books of 2019: Business""One of the Financial Times' Best Books of 2019: Technology""12 must-read books for 2019 as recommended by Tech Crunch's Extra Crunch readers""One of Five Books' Best Economics Books of 2019""University of Chicago 2019 Recommended Reading""One of Handelsblatt's Best Technology Books of 2019""One of Época Negócios's Best Books of 2019""A Choice Outstanding Academic Title of the Year""A Project Syndicate Best Read in 2019""A Financial Times Best Book of the Year""Winner of the Richard A. Lester Prize for the Outstanding Book in Industrial Relations and Labor Economics, Industrial Relations Section of Princeton University""A superb guide to 21st-century automation and its disruptive effects."---John Harris, The Guardian"The Technology Trap may well ensnare doom-seekers’ attention with its ominous-sounding title. But it should ultimately hearten anyone who reads it." * The Economist *"Anybody interested in the economic impact of digital and AI, in particular on jobs, will want to read [The Technology Trap]."---Diane Coyle, Enlightened Economist"[Frey] takes a provocative, original long view on current concerns, examining the fallout from past technological advances . . . to mass production and artificial intelligence."---Andrew Hill, Financial Times, Summer Books of 2019"I have been lost in [The Technology Trap] for the last 10 days."---John Harris, The Guardian"Frey’s analysis is worth taking seriously because the Oxford economic historian and economist has researched his subject deeply and has co-authored one of the most widely cited studies on automation . . . . Frey’s story is well argued and — at times — deeply alarming about the stability of western democracies given he predicts the further concentration of wealth in a few hands and in even fewer locations"---John Thornhill, Financial Times"An excellent analysis of past industrial revolutions, the technologies that emerged within them, and the way societies adapted to those changes."---Adi Gaskell, Forbes"As [Frey] points out in his new book The Technology Trap, for all that the robots may make the world more local, they may have other painful side-effects, putting millions of people out of work and sparking an almighty backlash."---Ed Conway, The Times"The Technology Trap is the perfect book for higher ed people to read . . . . deeply researched and [convincingly] argued."---Joshua Kim, Inside Higher Education"If you're an optimist about the robotic future, you likely hear talk that we're all going to lose our jobs or suffer a big pay cut, and tell friends to relax — the new technology revolution is going to turn out like all the others since the dawn of the Industrial Age. But if history is your best hope, you should probably think again: [The Technology Trap has] a strong case."---Steve Levine, Axios"Anybody interested in the economic impact of digital and AI, in particular on jobs, will want to read Carl Frey’s new book."---Diane Coyle, Enlightened Economist"In his bracing new book The Technology Trap, Carl Frey extrapolates from the history of the industrial revolution to offer a vision of the future in which Amazon Go, AI assistants and autonomous vehicles are 'worker replacement' technologies."---Greg Williams, Wired"A fascinating history of technical change."---Chris Dillow, Stumbling and Mumbling"One of Frey’s most salient points is that our attitudes and actions toward technology can play a pivotal role in how it impacts us. A lot of stock has been put into Frey and Osborne’s prediction of 47 percent automation. But if Frey’s book gets even half the attention the paper got, it should serve to quell some of our fears around a bleak machine-dominated future."---Vanessa Bates Ramirez, Singularity Hub"Carl Benedikt Frey has written an important and timely book . . . . A great deal of effort, thought, and scholarship went into its writing, and it shows. There is much food for thought here and I can envision this assigned in upper division economics classes as well as some graduate courses."---Alexander Field, EH.net"Frey offers a refreshingly human-centered analysis of technological progress."---Oscar Schwartz, Stanford Social Innovation Review"It’s clear The Technology Trap has plenty to teach us, and should automatically be on the reading list of any serious policy maker or politician."---Ben Ramanauskas, Cap X"Frey explores automation and its consequences, taking the reader on a long sweep of UK and US industrial history that demonstrates the distinction between labour-enabling and labour-replacing technologies. . . As arguably the most comprehensive account of automation to date, this book deserves to be read widely"---Liam Kennedy, London School of Economics Review of Books"[The Technology Trap] offers a fascinating history of technology’s effects on employment from the Industrial Revolution to today and attempts to tackle how we might avoid a repeat of past social ills, as the Computer Revolution sweeps away a majority of human jobs."---Robert Elliott Smith, Medium"Narrator Richard Lyddon performs an almost impossible feat—making a very theoretical audiobook sound absorbable in a truly entertaining way . . . . Cheers to both Frey and Lyddon, a pairing that listeners may wish to hear again." * AudioFile Magazine *"An extremely useful history of the effect of technology on jobs and income inequality."---John Judis, The National Interest"[E]rudite and thoughtful, and the questions [The Technology Trap] raises are important and pertinent."---Joel Mokyr, Journal of Economic History"[Frey] investigates the short, medium, and long-term consequences of the Industrial Revolution on workers, finding that in fact the changes had extraordinarily negative consequences in the short term. His lessons from this pivotal moment in history can help technology leaders avoid the biggest risks today in how we design human/AI systems in the coming age of automation." * TechCrunch *"I highly recommend [The Technology Trap]."---Randal C. Picker"There is little reason to doubt the contemporary relevance of Frey’s analysis into the consequences of automation on the labour market, and the broader socio‐political implications of those technological changes which are highly anticipated to reshape our working lives and economic existence as we know it. The voluminous public commentary about technology, and public protests against the ramifications of technology change (such as taxi drivers decrying peer‐to‐peer ride‐sharing services which rely on smartphone apps), serve as sufficient warrant to pay attention to Frey’s contribution."---Mikayla Novak, Economic Record"Excellently written, full of examples and studies I hadn't previously encountered, and I learned a lot."---Tim Harford"[The Technology Trap] is a reminder that the future of work depends on policy choices. It is well worth reading."---Ravi Venkatesan, Book Review Literacy Trust"A . . . danger is that Luddite efforts to avoid the short-term costs associated with a new technology will end up denying access to its long-term benefits—something Carl Benedikt Frey, an Oxford academic, calls a 'technology trap'." * The Economist *"Excellent."---Masood Ahmed, CGD Policy Blog"Magisterial."---Chris Gibbons, Acumen"Frey’s observations and detailed historical analysis are useful for even those of us who cling to a more optimistic view of the long run."---Micheal Munger, Law & Liberty"[A] historical odyssey."---Jane Humphries and Benjamin Schneider, Project Syndicate"Frey provides a longue durée examination of the economic, social, and political interplay that drives technological change. Careful, erudite, elegantly written, and full of insight, the book sets the current overwrought debate about automation and AI on a firm contextualized footing."---Jayati Ghosh, Project Syndicate"Frey’s book is a history with a policy purpose . . . the book reveals an enormous scope of reading."---Kenneth Lipartito, American Historical Review"I was hugely impressed by this well-researched book, which provides a fascinating historical analysis of the interplay between government policy and technical change around the world. At the same time, it provides clues about how similar dynamics may shape the ongoing wave of automation, and what that might mean for wealth distribution within and among countries."---Sami Mahroum, Project Syndicate"Even when we learned enough about how the world works to change and manipulate it — to disrupt the status quo — stasis had its defenders. And it still does today. So many historical examples of this in the great 2019 book, The Technology Trap."---James Pethokoukis, AEI"The Technology Trap offers a rich account of the history of automation. . . . If anything, the corona-crisis has made this 2019 publication even more relevant. The lockdowns will likely accelerate automation in the workplace, and in the wake of the resulting economic decline and rising unemployment, questions around jobs and automation will become more politically fraught than they had been up to now."---Justin Nogarede, The Progressive Post"’The Technology Trap’ . . . made me look at the industrial revolution, invention, sleeping beauties, contexts and the forces that shape our societies differently. . . . Techies and economists love to point out that the textile machines the Luddites opposed in the 19th century brought greater prosperity to all — but it took three generations before the benefits kicked in, and there was a lot of pain and suffering in the meantime. And as Frey points out, history is made in the short term."---David Byrne, New York Times Book Review"A powerful historical synthesis on the question of the relationship between man and machine." * Wall Street Journal *

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Book SynopsisTrade Review"Superb: practical, accessible, deeply savvy. . . . I truly believe that if you want to understand how books can be made in the 2020s, you should read Anne [Trubek] Laura [Portwood-Stacer] and… basically no one else!"---Robin Sloan, New York Times bestselling author of Mr. Penumbra’s 24-Hour Bookstore"There is so much in this little book to recommend to the bewildered or intimidated potential author that it is hard to imagine navigating the territory of scholarly publishing without it. . . . In crafting this guide for authors, Portwood-Stacer has done a tremendous service for both the academy and for the community of scholarly publishers."---Gregory M. Britton, Publishing Research Quarterly"I’m working my way through [The Book Proposal Book] and while I would like to rush right through it, I’m trying to read slowly because it’s truly so instructive—not only for authors, but also for editors how to communicate better with their authors."---Alison Syring, University of Illinois Press"By bringing clarity to topics that are seldom explicitly taught, The Book Proposal Book offers a vital resource, especially for scholars who lack the resources to work with a freelance editor or attend a publishing workshop. . . . The Book Proposal Book can help authors to feel less alone through the daunting process of proposal writing. . . . I recommend this book not only for authors who are currently working on book proposals, but for all readers who share Portwood-Stacer’s commitment to helping scholarly writers feel hopeful, powerful, and supported."---Sara Saylor, Journal of Interactive Technology and Pedagogy

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Book SynopsisThis book is both a handbook for defining and completing a research project and an astute introduction to the neglected history and changeable philosophy of modern social science.Trade ReviewLuker's book offers a startlingly original and unorthodox take on how to teach research methods, and is funny accessible, and inviting too. It gives a down-to-earth view of how knowledge evolves, how good research questions gel, and how to go about creating a research design. I cannot wait to be able to assign it to my students. -- Michèle Lamont, Harvard UniversityAn irreverent and engaging mixture of memoir, history of research methods, and 'how-to' manual, Luker's book is chock-full of helpful suggestions to turn an idea (even a half-baked idea) into a meaningful and rigorous research project. The conversational style, the witty style, and the metaphors sprinkled through the pages make the ideas come alive. -- Rebecca Klatch, University of California, San DiegoKristin Luker has managed to produce a charming and effective manual on how to get through the research process with most of one's enthusiasm still intact. This is a guidebook for the methodologically bewildered, with an attractive blend of homespun wisdom, illustrated from her own research career, as well as glimpses of herself, her family and her enthusiasms—of which the salsa dancing of the title seems to be one—threaded through a lucid and accessible discussion of the elements of research practice. Although it will be a comforting and useful read for postgraduates, which is its intended market, it is already on my undergraduate recommended list. This is a refreshing and well-judged guide produced by an engaging writer in touch with a long career's lessons and the changing realities of researching today. For young researchers undertaking their first project or beginning a dissertation, it should prove an excellent guide. The book sets out to rethink the existing conventions of research practice… A great deal of the book's attractiveness lies in its refusal to pursue the grandiose and the ineffable. Endorsing what used to be called 'theories of the middle range,' this approach eschews master narratives and grand theory. A little modest realism about what the aims of social research can be, and ought to be, rather than inflated claims and rhetoric in pursuit of what it hoped to be for so long, goes a long way, and makes for a book that will, I suspect, generate a spirit of optimism in those who fall for its down-to-earth charms… Above all, however, this is a book to enjoy—and for a text on method this is rare indeed. Really enjoyable writing among social scientists is itself, unfortunately, a rarity, and it is a pleasure to welcome into the canon someone who celebrates the teaching role as well and successfully as Luker. Her determined cheer is a tonic, and a perspective well worth fostering in every student approaching the social-research process. More than that, however, she has developed a robust, effective approach to the conduct and practices of research and to the question of how one should prepare for research. -- Leslie Gofton * Times Higher Education *I enjoyed this book very much and I thought it was one of the best books on the philosophy of the social sciences I have read, ever. -- Tyler Cowen * Marginal Revolution *Table of Contents* Salsa Dancing? In the Social Sciences? * What's It All About? * An Ode to Canonical Social Science * What Is This a Case of, Anyway? * Reviewing the Literature * On Sampling, Operationalization, and Generalization * Getting Down to the Nitty-Gritty * Field (and Other) Methods * Historical-Comparative Methods * Data Reduction and Analysis * Living Your Life as a Salsa-Dancing Social Scientist * Appendix One: What to Do If You Don't Have a Case * Appendix Two: Tools of the Trade * Appendix Three: Special Resources for Specific Methods * Appendix Four: Sample Search Log * Notes * Bibliography * Author's Note * Acknowledgments * Index

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Book SynopsisPractice-Based Design Research provides a companion to masters and PhD programs in design research through practice. The contributors address a range of models and approaches to practice-based research, consider relationships between industry and academia, researchers and designers, discuss initiatives to support students and faculty during the research process, and explore how students'' experiences of undertaking practice-based research has impacted their future design and research practice. The text is illustrated throughout with case study examples by authors who have set up, taught or undertaken practice-based design research, in a range of national and institutional contexts.Trade ReviewThis unique collection offers profound insights, exemplary cases and practical guidance for practice-based design research as it expands worldwide. A major contribution to the field, this book is essential for supervisors, researchers, teachers and students of doctoral education in design. * Ramia Mazé, Professor of Design at Aalto University, Finland *Design has an increasingly important role to play in material, social, economic, and technological change and design research needs to change accordingly. This book describes the theory and the practice of practice-based design research and is an exciting and timely contribution to the field. I think it will become an essential reference point not only for future practice-based design researchers, but for all design researchers. * Peter Lloyd, Professor of Design at the University of Brighton and Vice Chair of the Design Research Society, UK *Practice Based Design Research bravely challenges conventional forms doctoral scholarship through the specular agency of the design disciplines. It is an essential resource – both diverse and critical – for reconceptualising the knowledge economy, not just in design but as design. * Stephen Loo, Professor of Architecture at the University of Tasmania, Australia *Table of Contents1. Introducing Practice Based Design Research Laurene Vaughan Part 1: Exploring Different Models and Approaches to Doctoral Education in Design 2. Designer/Practitioner/Researcher Laurene Vaughan 3. Locating New Knowledge in an Unacknowledged Discourse Bonne Zabolotney 4. Post-Normal Design Research: The Role of Practice-based Research in the Era of Neoliberal Risk Cameron Tonkinwise Part 2: Socio-cultural Impacts of the Design PhD in Practice 5. Designing the PhD curriculum in the design disciplines Henry Mainsah, Andrew Morrison, Jonny Aspen and Cheryl E. Ball 6. Doctoral Training for Practitioners: ADAPTr (Architecture, Design and Art Practice research) a European Commission Marie Curie Initial Training Network Richard Blythe and Marcello Stamm? 7. Knowledge Exchange through the Design PhD Ben Dalton, Tom Simmons and Teal Triggs? 8. Educating the Reflective Design Researcher Pelle Ehn and Peter Ullmark? 9. Building theory through design Thomas Markussen Part 3: Structures for Supporting Design Phd Programs 10. Design (research) practice Thomas Binder and Eva Brandt 11. Embracing the literacies of design as means and mode of dissemination Laurene Vaughan 12. Ten green bottles: Reflecting on the exegesis in the thesis by compilation model Andrew Morrison Part 4: Graduate Reflections on the Design Phd in Practice 13. When Words Won’t Do: Resisting the impoverishment of knowledge Pia Ednie-Brown 14. Before, during and after a PhD: Curating as a generative and collaborative process of infrastructuring Katherine Moline? 15. The researcherly designer/the designerly researcher Joyce Yee 16. Make Happen: Sense-making the affordances of a practice-based Phd in design Lisa Grocott 16. From Paratexts to Primary Texts: Shifting from a commercial to a research focused design practice Zoë Sadokierski 17. From practice to practice-led research: Challenges and rewards Neal Haslem 18. Grokking the Swamp: Adventures in the Practical Abyss, and Back Again Jeremy Yuille

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Book SynopsisSystematic Reviews in Health Research Explore the cutting-edge of systematic reviews in healthcare In this Third Edition of the classic Systematic Reviews textbook, now titled Systematic Reviews in Health Research, a team of distinguished researchers deliver a comprehensive and authoritative guide to the rapidly evolving area of systematic reviews and meta-analysis. The book demonstrates why systematic reviewswhen conducted properlyprovide the highest quality evidence on clinical and public health interventions and shows how they contribute to inference in many other contexts. The new edition reflects the broad role of systematic reviews, including: Twelve new chapters, covering additional study designs, methods and software, for example, on genetic association studies, prediction models, prevalence studies, network and dose-response meta-analysisThorough update of 15 chapters focusing on systematic reviews of interventionsAccess to a companion website offering supplementary materials and practical exercises (www.systematic-reviews3.org) A key text for health researchers, Systematic Reviews in Health Research is also an indispensable resource for practitioners, students, and instructors in the health sciences needing to understand research synthesis.Table of ContentsPreface xix Tribute xxi List of Contributors xxviii About the Companion Website xxxiii CHAPTER 1 Systematic Reviews in Health Research: An Introduction 1Matthias Egger, Julian P.T. Higgins, and George Davey Smith PART I Principles and Procedures 17 CHAPTER 2 Principles of Systematic Reviewing 19Julian P.T. Higgins, George Davey Smith, Douglas G. Altman, and Matthias Egger CHAPTER 3 Identifying Randomized Controlled Trials 36Julie Glanville and Carol Lefebvre CHAPTER 4 Assessing the Risk of Bias in Randomized Trials 55Matthew J. Page, Douglas G. Altman, and Matthias Egger CHAPTER 5 Investigating and Dealing with Publication Bias and Other Reporting Biases 74Matthew J. Page, Jonathan A.C. Sterne, Julian P.T. Higgins, and Matthias Egger CHAPTER 6 Managing People and Data 91Eliane Rohner, Julia Bohlius, Bruno R. da Costa, and Sven Trelle CHAPTER 7 Reporting and Appraisal of Systematic Reviews 109Larissa Shamseer, Beverley Shea, Brian Hutton, and David Moher PART II Meta-Analysis 129 CHAPTER 8 Effect Measures 131Julian P.T. Higgins, Jonathan J. Deeks, and Douglas G. Altman CHAPTER 9 Combining Results Using Meta-Analysis 159Jonathan J. Deeks, Richard D. Riley, and Julian P.T. Higgins CHAPTER 10 Exploring Heterogeneity 185Julian P.T. Higgins and Tianjing Li CHAPTER 11 Dealing with Missing Outcome Data in Meta-Analysis 204Ian R. White and Dimitris Mavridis CHAPTER 12 Individual Participant Data Meta-Analysis 220Mark C. Simmonds and Lesley A. Stewart CHAPTER 13 Network Meta-Analysis 238Georgia Salanti and Julian P.T. Higgins CHAPTER 14 Dose-Response Meta-Analysis 258Nicola Orsini, Susanna C. Larsson, and Georgia Salanti PART III Specific Study Designs 271 CHAPTER 15 Systematic Reviews of Nonrandomized Studies of Interventions 273Jelena Savovic, Penny F. Whiting, and Olaf M. Dekkers CHAPTER 16 Systematic Reviews of Diagnostic Accuracy 296Yemisi Takwoingi and Jonathan J. Deeks CHAPTER 17 Systematic Reviews of Prognostic Factor Studies 324Richard D. Riley, Karel G.M. Moons, Douglas G. Altman, Gary S. Collins, and Thomas P.A. Debray CHAPTER 18 Systematic Reviews of Prediction Models 347Gary S. Collins, Karel G.M. Moons, Thomas P.A. Debray, Douglas G. Altman, and Richard D. Riley CHAPTER 19 Systematic Reviews of Epidemiological Studies of Etiology and Prevalence 377Matthias Egger, Diana Buitrago-Garcia, and George Davey Smith CHAPTER 20 Meta-Analysis in Genetic Association Studies 396Gibran Hemani PART IV Cochrane and Guideline Development 413 CHAPTER 21 Cochrane: Trusted Evidence. Informed Decisions. Better Health 415Gerd Antes, David Tovey, and Nancy Owens CHAPTER 22 Using Systematic Reviews in Guideline Development: The GRADE Approach 424Holger J. Schünemann PART V Outlook 449 CHAPTER 23 Innovations in Systematic Review Production 451Julian Elliott and Tari Turner CHAPTER 24 Future for Systematic Reviews and Meta-Analysis 463Shah Ebrahim and Mark D. Huffman PART VI Software 481 CHAPTER 25 Meta-Analysis in Stata 483David J. Fisher, Marcel Zwahlen, Matthias Egger, and Julian P.T. Higgins CHAPTER 26 Meta-Analysis in R 510Guido Schwarzer CHAPTER 27 Comprehensive Meta-Analysis Software 535Michael Borenstein Index 549

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Book SynopsisThe second edition of Maria J. Mayan’s Essentials of Qualitative Inquiry is written for newcomers interested in applied research, regardless of discipline. It provides what the reader needs to begin to explore, appreciate, and deeply understand our social world. The new edition maintains the straightforward, conversational style and passionate support for qualitative work of the first edition while addressing numerous changes in the field.Mayan avoids paint-by-number formulas while helping novices learn many of the approaches, methodologies, and techniques used by experienced researchers. She helps readers confront the ambiguities and ethical issues in doing a field project and addresses some of the main debates in the field. After nearly three decades of teaching this subject herself, Mayan can anticipate and address the most common questions students will raise.Features of the new edition include: More emphasis on theoretical orientations Added sections on arts-based research, mixed methods, systematic reviews, and participatory research A unique approach to conducting qualitative analysis Advice on self-care for the researcher Summary tables, appendices with useful tools and templates, and practical exercises at the end of each chapter make this the perfect vehicle to introduce students to the complex world of qualitative inquiry Trade Review"Maria Mayan has been intimately engaged in the qualitative research methodology community for most of her career. In this introductory text, she opens up a window into the diverse terminology, positioning and theoretical orientations to inquiry based on qualitative approaches. This will be an excellent resource for scholars of all disciplines entering into the world of what it is to discover the world qualitatively.In this delightful introductory text, Dr. Mayan exposes newer scholars to the kaleidoscope of terminology and positioning that underpins qualitative inquiry, allowing them to make informed choices as to the ideal options that will meet their own disciplinary and substantive research aspirations.The world of qualitative inquiry involves a complex array of traditions, positionings and methodological approaches. In this introductory text, Maria Mayan guides neophyte scholars and those new to qualitative inquiry through the complex array of possibilities. The choice of methodological approach to guide a qualitative study can position a newer scholar for success or for failure. In this introductory text, Dr. Mayan supports the reader on a journey through possibilities and toward informed methodological decisions." -- Sally Thorne, University of British Columbia, Canada; author of Interpretive Description (Routledge)"Essentials of Qualitative Inquiry is both a highly informative introductory text and a comprehensive reference work for newcomers to qualitative research. Mayan documents and clearly explains the myriad approaches, terms, and understandings of the method through engaging narrative and exemplary summary tables." -- Johnny Saldaña, Professor Emeritus, Arizona State University, USA"It is rare to find one book, especially one great book, that captures the nuances and key components of qualitative research—the various theoretical paradigms, methodological considerations, and ways to collect, analyze, and represent qualitative data accurately and ethically. Yet here is one of those great books—an accessible, practical, and inviting work that will indeed serve as an invaluable guide for doing great qualitative research." -- Tony Adams, Caterpillar Professor of Communication, Bradley University, USA"This practical, real-world introduction to qualitative research distills Mayan’s experience in learning, conducting, and teaching qualitative methods across three decades, four continents, and numerous disciplines. Though written for the novice, it never avoids the complexities of doing research: the uncertainties of conducting rigorous research in a messy world, the struggle for methodological coherence, the leap from recording daily experience to meaningful theory, the need to respect and care for both study participants and the researcher, the power of research to enhance social justice. With Mayan’s guidance, your students will become knowledgeable and passionate practitioners of qualitative inquiry." -- Mitchell Allen, Scholarly Roadside Service and UC Berkeley, USATable of Contents1. Introduction to Qualitative Inquiry 2. Foundations of Qualitative Inquiry 3. Methodology 4. Arts-Based Research 5. Other Approaches 6. Research Questions, Sampling, and Saturation 7. Data Collection 8. Data Analysis 9. Ethics: Protecting Participants, Protecting Self 10. Rigor 11. Representation and Writing

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Book SynopsisThis accessible guide provides clear and practical explanations of key research methods in business studies, presenting a step-by-step approach to data collection, analysis and problem solving. Advanced undergraduate and postgraduate students will find it an indispensable aid when writing reports and dissertations.Table of ContentsPart I. Challenges and Ambiguities of Business Research: 1. Introduction; 2. Research in business studies; Part II. The Research Process: 3. The research process; 4. Research problems; 5. Research design; 6. Measurements; Part III. Implementation: 7. Data collection for qualitative research; 8. Qualitative data analysis; 9. Data collection for quantitative research; 10. Description and preliminary analysis of quantitative data; 11. Multiple regression; 12. Additional methods of quantitative analysis; 13. Cross-cultural research; 14. Writing the final report.

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Book SynopsisBecoming the Writer You Already Arehelps scholars uncover their unique writing process and design a writing practice that fits how they work. Author Michelle R. Boyd introduces the Writing Metaphor as a reflective tool that can help you understand and overcome your writing fears: going from stuck to unstuck by drawing on skills you already have at your fingertips. She also offers an experimental approach to trying out any new writing strategy, so you can easily fill out the parts of your writing process that need developing. The book includes a number of helpful features:Real Scholars' Storiesprovide insights into overcoming writing barriers;Wise Wordsfrom other scholars capture the trials of writing as well as avenues through those trials; and finallyFocus Pointshighlight important ideas, questions, or techniques to consider. The book is ideal for dissertation writing seminars, graduate students struggling with the transition from coursewTrade ReviewWisdom and kindness emanate from every page of this revelatory new guidebook, where renowned academic writing coach Michelle Boyd shows us how to find our own unique approach to living the messy, rewarding process of creating scholarship. I can’t recommend this book highly enough! -- Margy ThomasThis book is an attempt to acknowledge the struggles of academic writing and propel confidence through the development of sound habits. It offers a friendly and intimate companion to the varying emotional and circumstantial challenges inherent in the writing process, and provides a specific process by which to develop more competence and confidence as a writer. -- Raymond BlantonIf you are struggling with academic writing, you′ve already read the other books, and you still can′t figure out how to "fix" your problem, this book may help you understand. -- Christine ColwellI recommend this book to doctoral students and colleagues who are dedicated to writing and scholarship as an addition to their reading on the craft of writing for publication, and as an extension of their efforts to constantly enhance their research and writing productivity. -- Marilyn L. GradyThis is a book on the academic writing process that helps to demystify that process and provides concrete strategies for dealing with the emotional side as well as the practical side of writing. -- Kevin P. LynessThis book helps the reader understand that writer’s block happens to all of us, and that it is not something to pathologize or internalize in a negative sense. It moves the reader to an appreciation of their vulnerabilities, but also understanding that those personality quirks can be transformed into a strength when faced head on. -- Barbara L. PazeyA helpful guide to brainstorming and conquering the blank writing screen. I love the examples and the conversational writing style. -- Robert Dennis WatkinsTable of ContentsPreface Acknowledgments About the Author Chapter 1: Down but Not Out: What It Means to Be Stuck What It Means to Be Stuck Flow and Forward Writing The Promise of Writing Process Chapter Overview: From Problem to Puzzle Solving the Writing Puzzle: How to Use This Book Chapter 2: More Than You Think: How Head, Hand, and Heart Make Writing So Hard Actually . . . It Is Hard: The Inherent Challenge of Writing Institutional Challenges: Running the Risk of Writing Interpretive Challenges: The Impact of Risk on Writing Chapter 3: Turning Toward Yourself: How Writing Process Can Help You Get Unstuck What Is Writing Process? Stages of the Writing Process What Writing Process Looks Like Using Process to Get Unstuck Chapter 4: Finding the Writer Inside: How to Get Unstuck and Start Writing Again Why It’s Hard to Draw on Process How to Uncover Your Writing Process Chapter 5: Growing From the Inside Out: Exploring and Expanding Your Writing Process Initiation: Purposefully Making Mistakes Saturation: Choosing a New Audience Incubation: Accepting Our Lack of Control Clarification: Taking Your Ideas Out for a Test Run Submission: Leading Yourself to Release Hibernation: Immersion in Play, Not Work Conclusion Chapter 6: Thoughts on Building a Writing Life Making Space for Yourself and Your Writing The Promise and Perils of Slow Scholarship Writer’s Oppositional Consciousness Making Space With Social Writing References Index

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Book SynopsisBetter posters mean better research. Distilling over a decade of experience from the popular Better Posters blog, Zen Faulkes will help you create a clear and informative conference poster that delivers maximum impact. Academics have used posters to share research for more than five decades, and tens of thousands of posters are presented at conferences every year. Despite the popularity of the format, no in-depth guide has been available on how to create and deliver compelling conference posters. From over-long titles, tiny text and swarms of logos, to bad font choices, chaotic colour schemes and blurry images – it’s easy to leave viewers confused about your poster’s message. The solution is Better Posters: a comprehensive guide to everything you need to know – from writing a title and submitting an abstract, to designing the poster and finally presenting it in the poster session. Your conference poster will be one of your first research outputs, and the poster session is your first introduction to a professional community. Making a great poster develops the skills to create publications, reports, outreach and teaching materials throughout your career. This book also has material for conference organizers on how to make a better poster session for their attendees.Trade ReviewEngaging and easy to read... Every lab should have a copy of Better Posters. The book should make conference poster sessions better for everyone – those presenting and those attending. Thank goodness someone wrote it! -- Stephen Heard, Scientist Sees SquirrelWhat impressed me the most about Better Posters is its breadth... This book should be in the library of any university with a graduate program or on the shelf of any researcher who makes research posters/oversees students who make research posters. -- Kristin Briney * Data Ab Initio *...this excellent book is useful and enjoyable to read. * Conservation Biology *Table of ContentsForeword by Echo Rivera Preface Acknowledgments Introduction 1 Poster design: the short form Part I - For viewers 2 Attending a poster session Part II - For presenters 3 Why posters? 4 Design thinking 5 Early preparation 6 Narrative thinking 7 Visual thinking and graphic design 8 Figures 9 Presenting data 10 Colors 11 Beyond paper 12 Text and type 13 Layout 14 Grids 15 Background 16 Title bars 17 Blocks of text 18 Sections 19 Images and graphics, revisited 20 Fine-tuning 21 Before you print 22 Printing 23 Travel 24 Networking and presentation 25 After the conference Part III - For organizers 26 Poster session planning 27 Conference website resources 28 During the conference Part IV - What next? 29 Constant improvement Afterword References Index

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Book SynopsisBayesian Statistics provides a comprehensive yet accessible introduction to Bayesian statistics, specifically tailored for any researcher with an interest in statistical methods. It covers the theoretical foundations of Bayesian inference, contrasting it with classical statistical methods like null hypothesis significance testing.

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Book SynopsisAs a research methodology, walking has a diverse and extensive history in the social sciences and humanities, underscoring its value for conducting research that is situated, relational, and material. Building on the importance of place, sensory inquiry, embodiment, and rhythm within walking research, this book offers four new concepts for walking methodologies that are accountable to an ethics and politics of the more-than-human: Land and geos, affect, transmaterial and movement. The book carefully considers the more-than-human dimensions of walking methodologies by engaging with feminist new materialisms, posthumanisms, affect theory, trans and queer theory, Indigenous theories, and critical race and disability scholarship. These more-than-human theories rub frictionally against the history of walking scholarship and offer crucial insights into the potential of walking as a qualitative research methodology in a more-than-human world. Theoretically innovTrade Review"The argument throughout is clearly and thoroughly informed by a strong theoretical and methodological framework. It highlights a wide range of ways in which one can practice walking as research and the many ways in which this can be recorded, captured, translated and activated through relational interventions and events. This book is a real asset, particularly if you have already engaged with these methods and want to open up and challenge your methodological horizon."-Magali Peyrefitte, Brunel UniversityTable of ContentsPART I Overview1. WalkingLab: Walking Methodologies in a More-than-human World 2. Affective Transmaterialities and the Primacy of Movement PART II Aberrant Case Studies in Walking Research3. Stone Walks: Archives of Feeling and Queer Political Imaginaries 4. Edible Matters: Taste Tours and Food Forays on Foot5. Emergent Publics: Collective Movement and Minor "p" Politics with Youth 6. Towards a Rhythmic Account of Working Together and Taking Part 7. "Wood Land School:" Critical Negotiation of Land and Indigenous Realities PART III Speculative Probings8. Propositions for the Future of Walking Research in Three Parts

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Book SynopsisTrade ReviewThis handbook is a comprehensive methodological resource intended for a wide readership and incorporates several enhancements to the first edition ..., including new chapters on "duoenthnography," team-based research, and teaching qualitative research, as well as updated references and examples. ... Anyone seeking practical information about conducting qualitative research would benefit from this work. The enhancements justify investing in this new edition. * R. V. Labaree, CHOICE *Editor Patricia Leavy has assembled an insightful collection that examines the challenges and opportunities inherent to qualitative research. Inclusive and dynamic, the handbook's chapters will be of interest, and helpful, to a wide array of new and senior researchers. * Keith Berry, Associate Professor, Department of Communication, University of South Florida *Patricia Leavy has done it again! The Second Edition of The Oxford Handbook of Qualitative Research is a rich resource for a field trying to keep abreast of a multitude of nuanced changes within qualitative research. The Handbook provides substantive and historical overviews of qualitative traditions, and it also opens the way for introducing more emergent and contemporary approaches. Yet it doesn't stop there — the volume covers ongoing issues such as evaluation, ethics, and public engagement for all qualitative researchers. Accessible for students, scholars, and practitioners alike, this Handbook is a must-have resource for anyone embarking upon or continuing their work in qualitative research! * Rita L. Irwin, Professor, Art Education and Curriculum Studies, The University of British Columbia *This new edition of The Oxford Handbook of Qualitative Research, masterfully edited by Patricia Leavy and authored by an impressive team of international and multi-disciplinary scholars, is a veritable feast, articulating with freshness and vitality issues that are crucial for qualitative researchers across the social sciences. Enthusiastically recommended! * Liora Bresler, Professor Emerita, College of Education, University of Illinois *Table of ContentsPreface 1. Introduction by the Editor: Patricia Leavy Part One: The Qualitative Tradition 2. Historical Overview of Qualitative Research in the Social Sciences: Svend Brinkmann, Michael Hviid Jacobsen, and Søren Kristiansen 3. The History of Historical-Comparative Methods in Sociology: Chares Demetriou and Victor Roudometof 4. The Centrality of Ethics in Qualitative Research: Anna Traianou Part Two: Approaches to Qualitative Research 5. Philosophical Approaches to Qualitative Research: Renée Spencer, Julia M. Pryce, and Jill Walsh 6. Applied Interpretive Approaches: Sally E.Thorne 7. The Grounded Theory Method: Antony Bryant 8. Feminist Qualitative Research: Toward Transformation of Science and Social Justice: Maureen C. McHugh 9. Critical Approaches to Qualitative Research: Kum-Kum Bhavnani, Peter Chua, and Dana Collins 10. Decolonizing Research Practice: Indigenous Methodologies, Aboriginal Methods, and Knowledge/Knowing: Mike Evans, Adrian Miller, Peter Hutchinson, and Carlene Dingwall Part Three: Narrative Inquiry, Field Research, and Interview Methods 11. Practicing Narrative Inquiry II: Making Meanings Move: Arthur P. Bochnerand Andrew F. Herrmann 12. Ethnography: Anthony Kwame Harrison 13. Practicing Autoethnograhy and Living the Autoethnographic Life: Carolyn Ellis and Tony E. Adams 14. Duoethnography: A Polytheoretical Approach to (Re)Storing, (Re)Storying the Meanings that One Give: Joe Norris and Rick Sawyer 15. Unstructured and Semi-Structured Interviewing: Svend Brinkmann 16. Oral History Interviewing: With Purpose and Critical Awareness: Valerie J. Janesick 17. Focus Group Research: Retrospect and Prospect: George Kamberelis and Greg Dimitriadis 18. Museum Studies: Erica L. Tucker Part Four: Text, Arts-Based, and Internet Methods 19. Content Analysis: Lindsay Prior 20. Photography as a Research Method: Gunilla Holm 21. Arts-Based Research Practice: Merging Social Research and the Creative Arts: Gioia Chilton and Patricia Leavy 22. Qualitative Approaches in Internet-Mediated Research: Opportunities, Issues, Possibilities: Claire Hewson Part Five: Multi-Method, Mixed Methods, and Participatory Designs 23. Case Study Research: In-Depth Understanding in Context: Helen Simons 24. Program Evaluation: Paul R.Brandon and Anna L. Ah Sam 25. Community-Based Research: A Grass-Roots and Social Justice Orientation to Inquiry: Margaret Boyd 26. Complex Teams and Qualitative Research: Judith Davidson 27. Qualitative Disaster Research: DeeDee M. Bennett, Mark R. Landahl, Brenda D.Phillips 28. Conducting Mixed Methods Research: Using Dialectical Pluralism and Social Psychological Strategies: Susan A. Tucker, R. Burke Johnson, Tony Onwuegbuzie, and Marjorie L. Icenogle Part Six: Analysis and Interpretation 29. Qualitative Data Analysis Strategies: Johnny Saldaña 30. Computer-Assisted Analysis of Qualitative Research: Christina Silver and Ann F. Lewins 31. Interpretation Strategies in Qualitative Research: What, Why, How: Allen Trent and Jeasik Cho Part Seven: Representation and Evaluation 32. Writing Up Qualitative Research: Jane F.Gilgun 33. Transforming Field Notes into Text: Jessica Smartt Gullion 34. Creative Approaches to Writing: Sandra L. Faulkner and Sheila Squillante 35. Scripting Ethnodrama: Joe Salvatore 36. Write-Reach-Repeat: The Role and Rise of Public Intellectualism in Qualitative Research: Robin M. Boylorn 37. Evaluating Qualitative Research 2.0: Jeasik Cho and Allen Trent Part Eight: Conclusion: Politics, Pedagogy, and the Public 38. The Politics of Research: Michael D. Giardina and Joshua I. Newman 39. Superheroes and Superpowers: Contemplative, Creative, and De/Colonial Approaches to Teaching Qualitative Research: Kakali Bhattacharya 40. A Changing Terrain: Qualitative Research in the Age of Transdisciplinarity and Public Scholarship: Patricia Leavy

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Book Synopsis

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Book SynopsisThis practical, activity-based textbook from well-known psychology author Cara Flanagan covers everything you need to know for the research methods part of your A Level psychology course.The skills, knowledge and understanding needed to get to grips with this challenging part of the course are delived in an appealing magazine-style layout. Appropriate for all AS and A Level Psychology specifications (AQA, OCR, WJEC/Eduqas and Edexcel), this book is perfect for learning about research methods either as a stand-alone or integrated part of the course.

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Book SynopsisScientific research is a proven and powerful tool for discovering the answers to biological questions. As such, today''s students need to be well-versed in experimental design, analysis, and the communication of research. Furthermore, they must appreciate how all of these aspects are interlinked--how, for example, statistics can be used to inform the design of a particular experiment. As a resource which skillfully integrates all of the key aspects relating to biological research, Research Methods for the Biosciences is the perfect guide for undergraduates.The exceptionally clear layout takes students through choosing a project and planning their research; collecting, evaluating, and analyzing their data; and finally reporting their results. Research methods, which can often seem abstract, are brought to life through the use of examples taken from real undergraduate research. Friendly guidance and advice is provided throughout the text, and little prior knowledge or mathematical experience is required. Since statistics is a subject best learned through doing, frequent worked examples appear throughout Part Two ''Handling your data'', showing step-by-step how to carry out the various statistical tests. In addition, online software walkthroughs and video screencasts clearly demonstrate how to use software such as SPSS, Minitab, Excel and R to carry out statistical analyses.Online Resource CentreThe Online Resource Centre to accompany Research Methods for the Biosciences features:For students: New video screencasts showing how to carry out statistical tests using software Statistical software walkthroughs for SPSS, Excel, and Minitab Additional statistical tests not included in the main text Full details of calculations given in the in-text boxes Interactive and printable decision tree, to help you design your experiment Interactive and printable risk assessment form Integrative exercises to help students test their understanding of the topics in the bookFor lecturers: A test bank of questions Figures from the book available to downloadTable of ContentsPLANNING YOUR EXPERIMENT; HANDLING YOUR DATA; REPORTING YOUR RESULTS

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Book SynopsisResearch Methods in the Social Sciences is a comprehensive yet compact A-Z for undergraduate and postgraduate students undertaking research across the social sciences, featuring 71 entries that cover a wide range of concepts, methods, and theories.Each entry begins with an accessible introduction to a method, using real-world examples from a wide range of academic disciplines, before discussing the benefits and limitations of the approach, its current status in academic practice, and finally providing tips and advice for readers on when and how to apply the method in their own research. Wide ranging and interdisciplinary, the text covers both well-established concepts and emerging ideas, such as big data and network analysis, for qualitative and quantitative research methods.All entries feature extensive cross-referencing, providing ease of navigation and, pointing readers to related concepts, and to help build their overall understanding of research methods.Table of Contents0: Introduction 1: Chloé Brière: Archival Research 2: Yannis Panagis: Automated Text Analysis 3: Arnaud Dufays: Bayesian Inference 4: Olga Herzog: Behaviourism 5: Aysel Küçüksu and Stephanie Anne Shelton: Bias 6: Yannick Dufresne and Brittany Davidson: Big Data 7: Jasmin Hasic: Boolean Algebra 8: Laura Gelhaus and Dirk Leuffen: Case Selection 9: Jessica Luciano Gomes and Miriam Gomes Saraiva: Case Study 10: Vivien Sierens and Ramona Coman: Causation 11: Céline C. Cocq and Ora Szekely: Comparative Analysis 12: Louis Bélanger & Pierre-Marc Daigneault: Concept Construction 13: Holli A. Semetko: Content Analysis 14: Auke Willems: Contextual Analysis 15: Shunsuke Sato: Counterfactual Analysis 16: Virginie Van Ingelgom and Alban Versailles: Covariance 17: Dominik Giese and Jonathan Joseph: Critical Realism 18: Andrew Bell: Cross-Sectional and Longitudinal Studies 19: Dominik Giese and Kai-Uwe Schnapp: Deductive, Inductive, and Retroductive Reasoning 20: Louis Imbeau, Sule Tomkinson and Yasmina Malki: Descriptive, Explanatory, and Interpretive Approaches 21: François Depelteau: Determinism, Predictions, and Probabilism 22: Elisa Narminio and Caterina Carta: Discourse Analysis 23: Elena Avramovska: Endogeneity 24: Gianfranco Pellegrino: Epistemology 25: Laurence Marquis and Mark Daku: Ethics in Research 26: Chowra Makaremi: Ethnography 27: Damien Bol: Experiments 28: Ulf Liebe: Factor Analysis 29: Brian D. Earp: Falsification 30: Andrew Parker and Jonathan Tritter: Focus Groups 31: Érick Duchesne and Arthur Silve: Formal Modelling 32: Frederik Ponjaert: Grand Theory and Middle Range Theory 33: Mélanie Samson: Hermeneutics 34: Onna Van Den Broek and Adam William Chalmers: Hypotheses 35: Roberto Carrillo and Lidia Núñez: Interdisciplinary 36: Marta Matrakova: Interview Techniques 37: Mauro Caprioli and Claire Dupuy: Levels of Analysis 38: Mathieu Ouimet and Pierre-Olivier Bédard: Literature review 39: Noémie Laurens: Meta-Analysis 40: Suzan Gibril: Methodological Individualism and Holism 41: Manfredi Valeriani and Vicki L. Plano Clark: Mixed Methods 42: Johann Wolfschwenger and Kevin Lloyd Young: Multi-causality and Equifinality 43: Amal Tawfik and Stephan Davidshofer: Multiple Correspondence Analysis and Geometric Data Analysis 44: Nicky Hayes: Nomothetic and Idiographic Methods 45: Christian Olsson: Observational Methods 46: Eric Fabri: Ontology 47: Anne-Laure Mahé and Theodore Mclauchlin: Operationalization 48: Julien Pomarède: Oral History and Life History 49: Andreas Dimmelmeier and Sheila Dow: Paradigms and Research Programmes 50: Patrick Thaddeus Jackson and Lucas Dolan: Positivism, Post-positivism, and Social Science 51: Seda Gürkan and Jochem Rietveld: Process Tracing 52: Jacob A. Hasselbalch and Leonard Seabrooke: Prosopography 53: Kevin Kalomeni and Claudius Wagemann: Qualitative Comparative Analysis 54: Kamil Marcinkiewicz and Kai-Uwe Schnapp: Regression Analysis 55: Stefan Schmidt: Replication and Reproducibility 56: Irene Wieczorek and Piergiuseppe Parisi: Research Question 57: Emilie Van Haute: Sampling Techniques 58: Heikki Patomäki: Scientific Realism 59: Mathilde Gauquelin: Scope Conditions 60: Thomas Collas and Philippe Blanchard: Sequence Analysis 61: Nicholas Haagensen and Lasse Folke Henriksen: Social Network Analysis 62: Kenneth Bertrams and Anne Weyembergh: Source Criticism 63: Olesya Tkacheva: Statistical Significance 64: Lior Gideon and Kevin Barnes-Ceeney: Survey Research 65: Guillaume Beaumier and Didier Wernli: Systems Analysis 66: Virginia Braun and Victoria Clarke: Thematic Analysis 67: Nina Baur and Jannis Hergesell: Time Series 68: Sabine Caillaud and Uwe Flick: Triangulation 69: Juraj Halas: Typology 70: Kimberly A. Neuendorf: Unit Analysis and Observation 71: Jean-Frédéric Morin and Alessandra Bonci: Variables

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Book Synopsis"This book is an indispensable and uniquely placed resource for any social work student daunted by the prospect of the dissertation, or indeed for practitioners who are starting out in research. Malcolm Carey has managed the difficult task of producing a guide which is not only accessible and full of practicable advice, but is also grounded in theory and strongly informed by social work values. As a social work PhD student, I would highly recommend this book to fellow students at all levels of qualification."Hannah Jobber, PhD student, University of York, UK"Malcolm Carey has written an excellent second edition. It combines discussion of theoretical issues with practical guidance, supported with clear examples. It achieves a rare balance of conceptual sophistication combined with the provision of down-to-earth advice. Students at undergraduate and postgraduate levels will find it answers the majority of their questions about how to do a dissertation in a very cleaTable of ContentsSocial work research and the dissertation The research process for a social work dissertation Key concepts in social work research Theory and social work research The literature review and literature based dissertations Social work methodology Traditional methods: Interviews, questionnaires and focus groups Alternative methodology: Narrative research, discourse analysis and life histories Qualitative analysis Writing up and dissemination Appendix: Useful websitesBibliography

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Book SynopsisStatistics Explained, now in its fully revised Fourth Edition, is for students and researchers who wish to understand the statistical analyses used to analyse quantitative (numerical) research data in a wide range of academic disciplines, in particular, the behavioural, human and social sciences.This book explains, in a clear and informative manner, the logic of statistical analysis, in particular the null hypothesis significance testing (NHST) method. Using this method, a range of statistical tests have been devised for different types of data. Each of these tests is explained in the book by adopting a step-by-step (âœwalkthroughâ) approach with a specific illustrative example. Crucially, these explanations do not require the reader to have an advanced knowledge of mathematics or statistics, but only assumes the basic mathematics which most readers will have learnt at high school. The book also examines the criticisms of NHST and introduces the reader to Bayesian stat

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Book SynopsisSPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy-to-follow screenshots at each stage of the process. A number of other helpful features are provided, including: regular advice boxes with tips specific to each test explanations divided into essential' and advanced' sections to suit readers at different levels frequently asked questions at the end of each chapter The third edition of this popular book has been fully updated for IBM SPSS version 27 and also includes: a new chapter on how to undertake mediation and moderation with SPSS updates on changes to SPSS, including updated functionality within ANOVAs and calculations of a priori power analysis Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with online support materTrade Review'Statistical methods are an integral part of teaching and research in almost all disciplines in the age of data revolution. The authors have presented introductory, descriptive, and numerical methods, as well as univariate and multivariate model fitting and inferential statistical procedures in a very clear, simplified, and step-by-step illustrative way. This book will be helpful to college and university students, teachers, and researchers who wish to analyse and interpret observational and experimental data from different disciplines across the world.'Professor Dr Shahjahan Khan, Vice Chancellor, Asian University of Bangladesh, Dhaka, BangladeshTable of Contents1. Introduction2. Data entry3. Descriptive statistics4. Illustrative statistics5. Introduction to statistical testing6. t tests7. Introduction to analysis of variance (general linear model)8. One-factor analysis of variance9. Two-factor analysis of variance10. Introduction to multivariate analysis of variance11. Nonparametric two sample tests12. Nonparametric k sample tests13. Chi-square test of independence and goodness of fit test14. Linear correlation and regression15. Multiple regression and multiple correlation16. Moderation and mediation17. Introduction to factor analysis18. Using SPSS to analyse questionnaires: reliability18. Using SPSS to analyse questionnaires: reliability

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Book SynopsisIntroduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology.Whether used as a reference manual or read from cover to cover, readers wiTable of Contents1. Introduction. 2. Foundations. 3. Data Management. 4. Visualizing Your Data. 5. Essential Programming. 6. Exploratory Data Analysis. 7. Essential Statistical Modeling. 8. Parting Thoughts.

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Book SynopsisIn the eleventh edition of Understanding Research Methods: An Overview of the Essentials, Newhart and Patten leverage the principles of learning and content design to present the fundamentals students need to get started in research. Basics of quantitative and qualitative research are covered in short, independent topics and grouped into meaningful sections. A perennial bestseller for over ten editions, Understanding Research Methods focuses concisely on key concepts, and lessons in topics that are chunked to suit today's students. Each topic ends with suggestions for planning a research project by answering topic-specific prompts in a research planning journal. Topic Review exercises encourage active learning. Finally, Topics for Discussion suggest open-ended prompts that could serve as conversation starters in the classroom or online. The final Part of the book offers guidance and activities specific to writing a research report. This section can be used to suTrade Review"Newhart and Patten have created an essential and accessible book for undergraduate and postgraduate students who want to develop their research skills and understanding." -- Dr Marc Turu Porcel, Leeds Beckett University, UK"This text provides a practical overview of research methods that is appropriate for a graduate or an upper-division undergraduate course in research methods. Using engaging examples, this text helps students recognize the application of research to their own lives." -- Dr Melody Whiddon-Willoughby, Florida International University, USA"This book provides an excellent introduction to research methods for students and early career practitioners, as well as a handy, yet comprehensive reference for people with more experience in the field. It has served as the backbone for many of my research methods courses." -- Ximena Uribe-Zarain, Missouri State University, USA"The research process is finally presented to both students and tutors alike in this book, in highly accessible language cutting through traditionally used scholarly vernacular, bestowing a long awaited and much needed clarity." -- Anya Higgins, Solent University, UK"This is an extremely comprehensive textbook that students will find rigorous and relevant. It covers all fundamental topics in research methods and makes extensive use of visual illustrations. This makes the book exciting to read." -- Augustine Acheampong, Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development, GhanaTable of Contents1. Introduction to Research Methods 2. Reading, Reviewing, and Citing Literature 3. Basic Concepts in Quantitative Research 4. Designing Quantitative Research 5. Assessing Research Quality: Validity and Reliability 6. Sampling for Quantitative Research 7. Analyzing Quantitative Data 8. Qualitative Research 9. Writing About Research

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Book SynopsisA systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective. Written by pioneers in the field, this textbook showcases cutting-edge methods in an easily accessible format, accompanied by problem sets and code. After working through this book, readers will be able to understand the theoretical foundations behind network modelling, infer network topology, and estimate network parameters from different sources of data. This book features an introduction on the statistical programming language R that guides readers on how to analyse network structures and their stability using R. While Network Psychometrics with R is written in the context of social and behavioral science, the methods introduced in this book areTrade Review"The PsychoSystems team at the University of Amsterdam has sparked a conceptual and methodological revolution in psychology. Their network approach to mental disorders is galvanizing our field, producing an urgent need for an accessible, user-friendly text for novices as well as for experienced researchers. Network Psychometrics with R is a splendid book that fulfills this need admirably. Importantly, the authors are seasoned teachers of network analysis, accustomed to introducing the approach to beginners in the field." -- Professor Richard McNally, Harvard University, USA"This thorough introduction into all important details of network psychometrics, by a group of authors including many of the leading scientists in the field, fills an important lacuna in the literature. It is highly recommended for widespread use in teaching and applied research." -- Professor Peter Molenaar, Pennsylvania State University, USA"The PsychoSystems team at the University of Amsterdam has sparked a conceptual and methodological revolution in psychology. Their network approach to mental disorders is galvanizing our field, producing an urgent need for an accessible, user-friendly text for novices as well as for experienced researchers. Network Psychometrics with R is a splendid book that fulfills this need admirably. Importantly, the authors are seasoned teachers of network analysis, accustomed to introducing the approach to beginners in the field." Professor Richard McNally, Harvard University, USA"This thorough introduction into all important details of network psychometrics, by a group of authors including many of the leading scientists in the field, fills an important lacuna in the literature. It is highly recommended for widespread use in teaching and applied research." Professor Peter Molenaar, Pennsylvania State University, USATable of ContentsI: Network Science in R 1 Network Perspectives 2 Short Introduction to R 3 Descriptive Analysis of Network Structures 4 Constructing and Drawing Networks in qgraph 5 Association and Conditional Independence; II: Estimating Undirected Network Models 6 Pairwise Markov Random Fields 7 Estimating Network Structures using Model Selection 8 Network Stability, Comparison, and Replicability; III: Network Models for Longitudinal Data 9 Longitudinal Design Choices: Relating Data to Analysis 10 Network Estimation from Time Series and Panel Data 11 Modeling Change in Networks; IV: Theory and Causality 12 Causal Inference 13 Idealized Modeling of Psychological Dynamics

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Book SynopsisResearching and Analysing Business: Research Methods in Practice provides an accessible and practical guide to various data collection and data analysis techniques within management, from both quantitative and qualitative perspectives.This key resource functions as a comprehensive reference tool covering a broad variety of methodologies examining both the theory behind them and their application in practice. These include systematic literature review through bibliometric and meta-analysis, secondary vs primary sources, qualitative research vs quantitative research, combining qualitative and quantitative methods, qualitative and quantitative research method approaches, fsQCA, data mining, and sentiment analysis. Chapters are rich in examples, data sets, practical exercises, easy-to-follow slides, and a glossary, which help readers to understand and apply research approaches as well as to assess the strengths and weaknesses of each method.Unique in its practicalTable of ContentsChapter 1. Introduction: Research Methods in Business and Management: Theoretical and Practical Perspectives. Chapter 2. Mixed-methods approach: Combining qualitative & quantitative methods. Part 1 - SYSTEMATIC LITERATURE REVIEW. Chapter 3. Bibliometric Analysis: Main procedure and guidelines. Chapter 4. Systematic literature review: main procedures and guidelines for interpreting the results. Part 2 - QUALITATIVE. Chapter 5. Grounded Theory: What, Why and How. Chapter 6. Applying Netnographic Approach to Qualitative Research. Chapter 7. Qualitative approaches: Case study research. Chapter 8. Conducting qualitative management research with semi-structured interviews: From planning to interpretation. Chapter 9. Qualitative Data Analysis: Using Thematic Analysis. Chapter 10. Qualitative Data Analysis: Using NVivo. Chapter 11. Text Mining and Topic Modelling. Chapter 12. Delphi method - A practical guide for verifying and validating novel developments. Chapter 13. Eye-Tracking: collecting data; managing, and process, analysis and interpretation. Chapter 14. Semiotic analysis in financial markets. Chapter 15. Critical Discourse Analysis. Chapter 16. Qualitative research methods to capture emerging visual social media culture. Chapter 17. Online data analysis: Sentiment analysis with Python. Part 3 - QUANTITATIVE. Chapter 18. Non-response bias & common method bias in survey research. Chapter 19. Scale Formation: Scale Reliability Analysis and Exploratory Factor Analysis. Chapter 20. Partial Least Squares Structural Equation Modeling: A Nontechnical and Practical Guide. Chapter 21. Addressing endogeneity in survey research: Application of two-stage least squares (2SLS) regression analysis. Chapter 22. Big Data in Marketing Intelligence. Chapter 23. Panel Data and Accounting context. Chapter 24. Fuzzy-Set Qualitative Comparative Analysis: Introduction to a Configurational Approach. Chapter 25. Title: Fuzzy Analytic hierarchy Process: A Simplified Approach. Chapter 26. Quantitative research with R programming language used in Marketing Research.

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Book SynopsisThis accessible textbook introduces a wide spectrum of ideas, approaches, and examples that make up the emerging field of implementation science, including implementation theory, processes and methods, data collection and analysis, brokering interest on the ground, and sustainable implementation. Containing over 60 concise essays, each addressing the thorny problem of how we can make care more evidence-informed, this book looks at how implementation science should be defined, how it can be conducted, and how it is assessed. It offers vital insight into how research findings that are derived from healthcare contexts can help make sense of service delivery and patient encounters. Each entry concentrates on an important concept and examines the idea's evidence base, root causes and effects, ideas and applications, and methodologies and methods. Revealing a very human side to caregiving, but also tackling its more complex and technological aspects, the contributors draw on rTable of ContentsPart I Principles and Concepts of Implementation Science. 1.Complexity Science. 2.Taking a Systems View. 3.Resilience Changes the Lens for Healthcare Implementation Systems. 4.Implementation Systems That Support Resilient Performance. 5.Principles of Implementation Science. 6.Medical Humanism: The Role of Character in Implementation Science. 7.Theorizing. 8.Theories, Models, and Frameworks in Implementation Science: A Taxonomy. 9.The Consolidated Framework for Implementation Research (CFIR). 10.The Theoretical Domains Framework. 11.Organization Theory for Implementation Science. 12.Exploration, Preparation, Implementation, Sustainment (EPIS) Framework. 13.Implementation Science as Process Ecology: Normalization Process Theory. 14.Diffusion of Innovation Theory. 15.Health-related Quality of Life. 16.Shared Decision Making: Consider Context. 17.Core Aspects of Nudge as a Behaviour Change Paradigm in Implementation Science. 18.Pipeline and Cyclical Models of Evidence Building: The Roles of Implementation Research. Part II Methodology and Methods of Implementation Science. 19.Application. 20.Plan, Do, Study, Act (PDSA). 21 Formative Evaluation Feedback Loops 22.Implementation or Continuous Design? The Contribution of Human Factors and Engineering to Healthcare Quality and Patient Safety. 23.Core and Variation Components. 24.Sensemaking: Appreciating Patterns and Coherence in Complexity. 25.Methodological Diversity. 26.Applying the Theoretical Domains Framework: Its Uses and Limitations. 27.Ethnography. 28.Walking Methods. 29.Modelling Complex Socio-Technical Systems: The Functional Resonance Analysis Method (FRAM). 30.Getting a handle on the social processes of implementation: Social network research. 31.Sentiment Analysis for Use within Rapid Implementation Research: How Far and Fast Can We Go? 32.Mixed Method Design. 33.Simulation to Improve Patient Care. 34.In Situ Simulation. 35.Emergency Implementation Science. 36.Planning for Implementation: Why, Who, and How. 37.Consensus Building: A Key Concept in Implementation Science. 38.Nudge: Finding Clues and Using Cues to Shift Clinician Behaviour. 39.Design and Implementation of Dashboards in Healthcare. 40.Sensemaking: Paying Attention to the Stories We Tell to Improve Our Ability to Act. 41.Adaptations. Part III Challenges with Evidence into Practice: Translation, Evaluation, Sustainability. 42.Evidence Synthesis: Maximizing the Potential. 43.Theory-driven Evaluation. 44.Process Evaluation of Implementation Strategies. 45.Dissemination. 46.A Learning Perspective on Implementation. 47.Alignment: Impact on Implementation Processes and Outcomes. 48.Work-as-Imagined and Work-as-Done. 49.Leading Implementation by Focusing on Strategic Implementation Leadership. 50.Agents of Change: The Example of an Allied Health Professional. 51.Clinical Decision Support. 52.Interprofessional Team Working: The Case of Care Pathways. 53.Older People’s Care. 54.Implementation Interventions to Enhance Patient Self-management. 55.Complex Systems and Unintended Consequences. 56.The Nature and Need for Slack in Healthcare Services. 57.Diagnosis Errors. 58."Scaling-Out" Evidence-based Practices. 59.Implementation Sustainability. 60.De-implementation.

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Book SynopsisCollaborative Ethnographic Working in Mental Health seeks to chart a new direction for research into mental healthcare, with the aim of creating the conditions for more productive interdisciplinary dialogue. People involved in mental health often fail to recognise how they are described by researchers from the humanities and social sciences, which inhibits productive collaboration. This book seeks to address this problem, by including clinicians and patients in the research process and by shifting attention away from power and knowledge and towards the organisational context. It explores how clinical thinking and behaviour, illness experience, and clinical relationships are all shaped by the bureaucratic context. In particular, it examines tensions between what we want from mental healthcare and how accountable bureaucracies actually work, and proposes that mental healthcare research should not just evaluate new interventions but should investigate new ways of organiTrade Review"Each chapter has a clear message and offers conceptual insight unmasked by anthropologists’ usual convoluted prose. The focus on bureaucracy in practice, and its internal effects, has wide implications for clinical research, opening the lid on that which is neglected in usual intervention-focused studies. In this sense, the book is a major cross-disciplinary bridge-building contribution. Indeed, I think the book makes clear in a way that few others have, why ethnographic research is important to getting to the heart of contemporary dilemmas in psychiatric care; especially by taking seriously the everyday experience and representational practices of patients and staff. The book avoids polarising debate around psychiatry, and taking a fresh viewpoint provides a common platform of shared concern about real challenges." -- David Mosse, Professor of Social Anthropology, SOAS, University of London, UK"Dr Armstrong’s incisive analysis of the mental health system challenges complacent and particularised explanations and presents a mature and systemic account of why mental health systems continue to struggle – harm – fail. Sharing his own lived experience of recovery and evolving agency, we see the demise of well-intentioned and highly trained clinicians to serve the structural and bureaucratic agency of the institution, be that the state, the hospital, the prison and criminal justice system. He does this through the powerful stories and voice of the most afflicted, marginalised, and excluded, providing some seminal lessons for practitioners, policy makers, legislators. Although he brings theory into to the analysis, he does so cautiously, never failing to sketch out the limitations of worshipping theory rather than testing it through real world experience and local realities." -- Professor Kamaldeep Bhui, Professor of Psychiatry and Senior Research Fellow, University of Oxford, UK"Each chapter has a clear message and offers conceptual insight unmasked by anthropologists’ usual convoluted prose. The focus on bureaucracy in practice, and its internal effects, has wide implications for clinical research, opening the lid on that which is neglected in usual intervention-focused studies. In this sense, the book is a major cross-disciplinary bridge-building contribution. Indeed, I think the book makes clear in a way that few others have, why ethnographic research is important to getting to the heart of contemporary dilemmas in psychiatric care; especially by taking seriously the everyday experience and representational practices of patients and staff. The book avoids polarising debate around psychiatry, and taking a fresh viewpoint provides a common platform of shared concern about real challenges." -- David Mosse, Professor of Social Anthropology, SOAS, University of London, UK"Dr Armstrong’s incisive analysis of the mental health system challenges complacent and particularised explanations and presents a mature and systemic account of why mental health systems continue to struggle – harm – fail. Sharing his own lived experience of recovery and evolving agency, we see the demise of well-intentioned and highly trained clinicians to serve the structural and bureaucratic agency of the institution, be that the state, the hospital, the prison and criminal justice system. He does this through the powerful stories and voice of the most afflicted, marginalised, and excluded, providing some seminal lessons for practitioners, policy makers, legislators. Although he brings theory into to the analysis, he does so cautiously, never failing to sketch out the limitations of worshipping theory rather than testing it through real world experience and local realities." -- Professor Kamaldeep Bhui, Professor of Psychiatry and Senior Research Fellow, University of Oxford, UKTable of Contents1. Everybody Knows About Mental Health 2. What Does it Mean to Know About Mental Healthcare? 3. No Mental Healthcare Without Mental Healthcare Institutions 4. Bipolar: The Beautiful Opponent with Catriona Watson5. Learning to be Ill, Learning to be Well 6. Untethered with Hugh Palmer7. Us and Them: Why Nobody Wins with Rowan JonesConclusion

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Book SynopsisDavid de Vaus' classic text Surveys in Social Research provides clear advice on how to plan, conduct and analyse social surveys. It emphasises the links between theory and research, the logic and interpretation of statistics and the practices of social research. This sixth edition has been completely revised and updated, and contains new examples, data and extensive lists of web resources. As well as explaining how to conduct good surveys, de Vaus shows how to become a critical consumer of research. He argues that the logic of surveys and statistics is simply an extension of the logic we use in everyday life; analysis, however, requires creativity and imagination rather than the application of sterile mechanical procedures. The prime goal of research should be to gain accurate understanding and, as a researcher, use methods and techniques which enhance understanding. De Vaus advocates researchers use the method, rather than letting the method use you.Surveys in Social Research is essential reading for students and researchers working with surveys. It assumes no background in statistical analysis, and gives you the tools you need to come to grips with this often challenging field of work.Trade ReviewPraise for earlier editions of Surveys in Social Research‘This excellent book presents a lucid and comprehensive overview of all the contemporary issues in the development of surveys in social research ... The resources make this book valuable for novices but also a great addition to the library of more experienced researchers.’ —Journal of Family Studies‘De Vaus helps to demystify survey research by breaking down the process into manageable components. This is perhaps the greatest strength – he encourages the reader to tackle and understand "statistical research" rather than shy away.’ —Social Security Journal‘... one of the most comprehensive and accessible texts on survey research available.’ —The Australian and New Zealand Journal of Sociology‘By concentrating on one method and providing a sound working knowledge of how to do good surveys, de Vaus indeed achieves a distinctive balance ...’ —Canadian Journal of SociologyTable of ContentsPart I: The Scope of Survey Research 1. The Nature of Surveys 2. Theory and Social Research 3. Formulating and Clarifying Research Questions Part II: Collecting Survey Data 4. Developing Indicators for Concepts 5. Ethics and Data Collection 6. Finding a Sample 7. Constructing Questionnaires 8. Administering Questionnaires Part III: Setting Up the Data for Analysis 9. Coding 10. Preparing Variables for Analysis 11. Building Scales Part IV: Analysing Survey Data 12. Overview of Analysis 13. Univariate Analysis 14. Bivariate Analysis: Nominal and Ordinal Variables 15. Bivariate Analysis for Interval-Level Variables 16. Elaborate Bivariate Relationships 17. Multivariate Analysis 18. Putting It into Practice: A Research Example. Glossary. Bibliography

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Book SynopsisHumans are social animals and are constantly interacting with each other through conversation, written communication, symbols and other expressions . Discourse: The Basics is an accessible and engaging introduction to the analysis of those interactions and the many forms and meanings they can take. The book draws on a range of international case studies and examples from literature, political speech, advertising and newspaper articles to address key questions such as: What is discourse? Why are there different approaches to understanding discourse? How are individual interactions connected with the larger discourses that frame our ways of thinking and behaving? How can discourse be analysed and researched? Discourse: The Basics includes subject summaries, a glossary of key terms and suggestions for further reading. It will be of particulTrade Review"Discourse: The Basics is an accessible and authoritative exploration of what 'discourse' is and how 'discourse' works that draws on a range of illustrative case studies to enrich understanding for students and teachers. A must read for undergraduates and of relevance to researchers and a wider readership."Mark Vicars, Victoria University, Australia"A concise and engaging introduction to discourse analysis, providing a fascinating overview of approaches to conceptualising and investigating language. The account assumes no prior knowledge and is easy to navigate, making this a valuable resource for students across disciplines at undergraduate or postgraduate level. Key concepts are fully explained and richly illustrated drawing on examples from everyday experience that give a deceptively light touch to complex material. Crystal clear writing makes this a very satisfying and enjoyable read."Georgina Glenny, Oxford Brookes University, UKTable of ContentsForeword Defining Discourse Discourse and Context: a practical exercise Language, Thought and Discourse Language, Society and Discourse Discourse and Metaphor Discourse and Rhetoric Discourse and Interactivity Discourse and Narrative Discourse and Identity Collecting and Representing Discourse ReferencesGlossaryIndex

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Book SynopsisProgram Theory in Evaluation Practice is a ground-breaking reference that teaches how to develop an explicit causal model that links an intervention (project, program or policy) with its intended or observed impacts and using this to guide monitoring and evaluation.Trade Review“This contribution is a must read for every evaluator, administration or project manager willing to engage in theory-based evaluation or theory-based program planning. It stands out from all the literature on this subject by giving an array of examples of program theory as well as practical advice to conduct evaluation to understand what works for whom and in which conditions.” – “Read for You”, Eureval (Centre for European Expertise and Evaluation)Table of ContentsFigures, Tables, and Exhibits x Acknowledgments xv The Authors xvii Introduction: The Promise and Risks of Using Program Theory xix Part One Key Ideas in Program Theory Chapter 1: The Essence of Program Theory 3 Evaluation Without Program Theory 3 Evaluation with Program Theory 6 Summary 13 Exercises 13 Chapter 2: Variations of Program Theory over Time 15 A Short History of Program Theory 15 Terminology in Program Theory 23 Key Ideas in Program Theory 30 Summary 34 Exercises 35 Chapter 3: Common Myths and Traps 37 Some Common Myths 37 Traps to Avoid When Developing and Using Program Theory 41 Summary 52 Exercises 52 Part Two Assessing Your Circumstances Chapter 4: Scoping Intended Uses 55 Why Intended Use Matters 55 Using Program Theory 58 Summary 67 Exercises 68 Chapter 5: The Nature of the Situation and the Intervention 69 Simple, Complicated, and Complex 70 Focus 74 Governance 80 Consistency 82 Necessariness 84 Sufficiency 85 Change Trajectory 88 Summary 90 Exercise 91 Part Three Developing and Representing Program Theory Chapter 6: Processes to Identify or Develop a Program Theory 95 Process Options for Developing Program Theory 95 Decision 1: Who Should Be Involved in Developing a Program Theory, and How? 97 Decision 2: What Is an Appropriate Mix of Approaches for Developing or Eliciting the Program Theory? 101 Decision 3: How Might Workshops and Interviews Be Used in Developing Program Theory? 120 Decision 4: As Challenges Arise, How Should They Be Addressed? 128 Decision 5: How Much Time and Resources Should Be Invested in Developing or Identifying a Program Theory? 141 Decision 6: When Is It Time to Revisit a Program Theory? 144 Summary 147 Exercise 148 Chapter 7: Developing a Theory of Change 149 Features of a Theory of Change 150 Situation Analysis: Understanding the Problem, Its Causes, and Its Consequences 151 Focusing and Scoping 163 Outcomes Chain 176 Summary 195 Exercises 196 Chapter 8: Developing a Theory of Action 199 Preparing the Theory of Action 204 Success Criteria for a Theory of Change 204 Assumptions About Factors That Affect Successful Achievement of Outcomes 217 How to Identify Factors That Are Likely to Affect Outcomes 226 Identifying What the Program Does 229 Pulling the Theory of Change and the Theory of Action Together in a Matrix 235 Summary 237 Exercise 240 Chapter 9: Representing Program Theory 241 Options for Representation 241 Representing Complicated Program Theory 251 Representing Complex Program Theory 264 What Makes a Good Representation of Program Theory 277 Should Logic Models Include SMART Measures? 290 Summary 291 Exercises 292 Chapter 10: Critiquing Program Theory 293 Criteria for Assessing Internal Validity 296 Criteria for External Validation 305 Engaging Stakeholders in the Review 312 Responding to the Results of a Review of a Program Theory 314 Summary 316 Exercise 316 Part Four Resources for Developing Program Theory Chapter 11: Some Research-Based Theories of Change 319 Theory of Reasoned Action and Theory of Planned Behavior 323 Stages of Change Theory 326 Empowerment Theory 332 Diffusion Theory 335 Socioecological Theory 339 Network Theory 342 Selecting and Using Theories of Change 347 Summary 349 Exercises 349 Chapter 12: Some Common Program Archetypes 351 Some Important Program Archetypes 351 Advisory, Information, and Education Program Archetype 352 Carrots and Sticks Program Archetype 357 Case Management Programs Program Archetype 367 Community Capacity-Building Program Archetype 370 Product or Direct Service Delivery Program Archetype 374 Deciding Which Program Archetype Applies to a Program 381 Summary 385 Exercise 386 Chapter 13: Logic Models Resources 387 Pipeline Logic Models 387 Variations of Outcomes Chain Logic Models 396 Technology for Representing Program Theory 399 Summary 414 Exercise 414 Part Five Using Program Theory for Monitoring and Evaluation Chapter 14: Developing a Monitoring and Evaluation Plan 417 Using Program Theory for Performance Monitoring 418 Making Choices About What to Measure Within the Program Theory 425 Including Comparisons as Part of the Performance Information System 434 Using Program Theory to Plan an Evaluation 438 Considerations When Using Program Theory to Design Evaluations of Complicated and Complex Programs 455 Summary 466 Exercises 467 Chapter 15: Causal Inference 469 The Need to Be Scientific and Pragmatic 469 A Framework for Causal Analysis Using Program Theory 473 Congruence 474 Counterfactual Comparisons 488 Critical Review 495 Summary 499 Exercises 499 Chapter 16: Synthesis and Reporting 501 Synthesis and Reporting for a Single Evaluation 501 Synthesis and Reporting Across Evaluations 508 Summary 516 Exercises 516 New Frontiers for Program Theory 517 References 519 Index 537

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Book SynopsisGives clear guidance on how to set up and conduct small scale research that is based in clinical practice Assumes no prior knowledge of qualitative research and is aimed specifically at psychotherapists Recognises development of the evidence base for psychotherapy through qualitative research as a key objective for practitioners.Trade Review"This is a useful and informative introductory book. It sparked my interest in pursuing some of the suggested methods and topics of research within my own setting." (Gestalt Journal of Australia and New Zealand, June 2010) Table of ContentsAbout the Editors vii Contributing Authors ix Preface xi Part I Engaging Qualitative Research and the Relational-centred Approach 1 Introduction 1 1 Qualitative Relational-centred Research: A 'Voyage of Discovery' 3 2 Competing Qualitative Research Traditions 13 3 Embodied Co-creation: Theory and Values for Relational Research 29 4 Challenging 'Evidence-based Practice' 45 5 Quality in Qualitative Relational-centred Research 59 Part II Relational-centred Research: Being and Doing 69 Introduction 69 6 Setting Up Research 71 7 The Research Encounter: Co-creating your Data 87 8 Embracing Relational Research: Learning from Therapy 107 9 Engaging 'Process' 127 10 Analysis of Data Linda Finlay Anna Madill 145 11 Relational Ethics 159 12 Becoming a Relational Researcher 175 Part III Relational-centred Research in Action 183 Introduction 183 13 'My Heart was Killing Me': A Hermeneutic Phenomenological Study of the Lived Experience of Anger Virginia Eatough 185 14 A Therapist's Portrait of a Clinical Encounter with a Somatizer Maria Luca 197 15 Relating through Difference: A Critical Narrative Analysis Darren Langdridge 213 16 A Journey into Survival and Coping by Women Survivors of Childhood Sexual Abuse Susan L Morrow 227 References 241 Index 259

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Book SynopsisFrench philosopher Gilles Deleuze (1925-1995) was one of the most influential thinkers of the 20th century, and his work is of continuing relevance today. This title shows how Deleuze's philosophy is shaking up research in the humanities and social sciences.Table of ContentsIntroduction: Deleuze and Research Methodologies, Rebecca Coleman and Jessica Ringrose; 1. Deleuze and Guatarri in the Nursery: Towards an Ethnographic Multi-Sensory Mapping of Gendered Bodies and Becomings, Emma Renold and David Mellor; 2. Mobile Sections and Flowing Matter in Participant-Generated Video: Exploring a Deleuzian Approach to Visual Sociology Carol A. Taylor; 3. More-Than-Human Visual Analysis: Witnessing and Evoking Affect in Human-Nonhuman Interactions, Jamie Lorimer; 4. Affect as Method: Feelings, Aesthetics and Affective Pedagogy, Anna Hickey-Moody; 5. Desire Undone: Productions of Privilege, Power, and Voice, Lisa A. Mazzei; 6. Data-as-Machine: A Deleuzian Becoming, Alecia Youngblood Jackson; 7. Looking and Desiring Machines: A Feminist Deleuzian Mapping of Bodies and Affect, Jessica Ringrose and Rebecca Coleman; 8. Disrupting 'Anorexia Nervosa': An Ethnography of the Deleuzian Event, Sarah Dyke; 9. Classification or Wonder? Coding as an Analytic Practice in Qualitative Research, Maggie MacLure; 10. Activating Micropolitical Practices in the Early Years: (Re)assembling Bodies and Participant Observations, Mindy Blaise; 11. Researching Pedagogical Apparatus (Dispotifs): An Ethnography of the Molar, Molecular and Desire in Contexts of Extreme Urban Poverty, Silvia M. Grinberg; 12. Lost in Data Space: Using Nomadic Analysis to Perform Social Science, David R. Cole.

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