Research methods / methodology Books

Book SynopsisPlanning your dissertation is made simple with this quick, step-by-step guide. Your instant pocket supervisor, this book will help you to: · Choose a topic you are excited about · Manage your time and beat procrastination · Create a step-by-step plan to keep you on track. Super Quick Skills provides the essential building blocks you need to succeed at university - fast. Packed with practical, positive advice on core academic and life skills, you’ll discover focused tips and strategies to use straight away. Whether it’s writing great essays, understanding referencing or managing your wellbeing, find out how to build good habits and progress your skills throughout your studies. Learn core skills quickly Apply them right away and see results Succeed in your studies and in life Super Quick Skills gives you the foundations you need to confidently navigate the ups and downs of university life. Table of ContentsWhat is a dissertation? Is a dissertation for me? How do I pick my research topic? What is the role of the supervisor in the dissertation? How do I manage my time effectively? What do I need to read before I start? How do I produce an ethically sensitive piece of research? What methods should I use?

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

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Book SynopsisNOW IN FULL COLOR! Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate their data findings. This comprehensive how-to guide functions as a set of blueprints—supported by both research and the author’s extensive experience with clients in industries all over the world—for conveying data in an impactful way. Delivered in Evergreen’s humorous and approachable style, the book covers the spectrum of graph types available beyond the default options, how to determine which one most appropriately fits specific data stories, and easy steps for building the chosen graph in Excel. Now in full color with new examples throughout, the Second Edition includes a revamped chapter on qualitative data, nine new quantitative graph types, new shortcuts in Excel, and an entirely new chapter on Sharing Your Data With the World, which provides advice on using dashboards. New from Stephanie Evergreen! The Data Visualization Sketchbook provides advice on getting started with sketching and offers tips, guidance, and completed sample sketches for a number of reporting formats. Bundle Effective Data Visualization, 2e, and The Data Visualization Sketchbook, using ISBN 978-1-5443-7178-8! Table of ContentsPREFACE ACKNOWLEDGMENTS ABOUT THE AUTHOR Chapter 1. Our Backbone: Why We Visualize Why We Visualize When Visualization Is Harmful Which Chart Type Is Best? Tell a Story With Data How to Use This Book Exercises Resources References Chapter 2. When a Single Number Is Important: Showing Mean, Frequency, and Measures of Variability What Stories Can Be Told With a Single Number? How Can I Visualize a Single Number? How Can I Show Measures of Variability? Exercises Resources References Chapter 3. How Two or More Numbers Are Alike or Different: Visualizing Comparisons What Stories Can Be Told About How Two or More Numbers Are Alike or Different? How Can I Visualize How Two or More Numbers Are Alike or Different? Exercises Resources References Chapter 4. How We Are Better or Worse Than a Benchmark: Displaying Relative Performance What Stories Can Be Told About How We Are Better or Worse Than a Benchmark? How Can I Visualize How We Are Better or Worse Than a Benchmark? Exercises Resources References Chapter 5. What the Survey Says: Showing Likert, Ranking, Check-All-That-Apply, and More What Stories Can Be Told About What the Survey Says? How Can I Visualize What the Survey Says? Ranking Branching Visualizing Not Applicable or Missing Data Exercises Resources References Chapter 6. When There Are Parts of a Whole: Visualizing Beyond the Pie Chart What Stories Can Be Told When There Are Parts of a Whole? How Can I Visualize the Parts of a Whole? Exercises Resources References Chapter 7. How This Thing Changes When That Thing Does: Communicating Correlation and Regression What Stories Can Be Told About How This Thing Changes When That Thing Does? How Can I Visualize How This Thing Changes When That Thing Does? Exercises Resources References Chapter 8. When the Words Have the Meaning: Visualizing Qualitative Data What Stories Can Be Told When the Words Have the Meaning? How Can I Visualize When the Words Have the Meaning? Pure Qualitative: Highlight a Word Pure Qualitative: Thematic Analysis Some Quantification: Highlight a Word Some Quantification: Thematic Analysis Exercises Resources References Chapter 9. How Things Changed Over Time: Depicting Trends What Stories Can Be Told About How Things Changed Over Time? How Can I Visualize How Things Changed Over Time? Exercises Resources References Chapter 10. Reporting Out: Sharing Your Data With the World Static Visuals Interactive Dashboards Exercises Resources References Chapter 11. It’s About More Than the Buttons Dot Plots Generate Healthcare Pioneers Clearly Labeled Line Graphs Streamline Decisions at a Fortune 500 Diverging Stacked Bars Make for Community Leaders in the Midwest Icons Support Informed Policymaking Building a Culture of Effective Data Visualization Exercises Resources References INDEX

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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 SynopsisThe updated Sixth Edition of the best-selling Proposal Writing: Effective Grantsmanship for Funding offers a fresh, robust presentation of the basics of program design and proposal writing for community services funding. Authors Soraya M. Coley, Cynthia A. Scheinberg, and new co-author Yulia A. Levites Strekalova help readers develop the knowledge they need to understand community agencies, identify and describe community needs, identify funding sources, develop a viable program evaluation, prepare a simple line-item budget, and write a compelling need statement. The jargon-free, step-by-step presentation makes the book as useful to students in the university classroom as to first-time grant writers in the nonprofit setting. The new edition adds activities that can be done individually or in class to build students′ skills and apply the chapter material.Table of ContentsPreface About the Authors Chapter 1: An Orientation to Proposal Writing A Book for the Beginning Grant Writer A Brief History of Giving and Philanthropy Differences Between Grants and Contracts Definition of a Proposal Request for Proposals (RFP) Key Points for Chapter 1 Chapter 1 Activities Chapter 2: Understanding the Nonprofit Agency About the Nonprofit Mission-Driven Analysis of the Agency/Organization Organizational Capacity Key Points for Chapter 2 Chapter 2 Activities Chapter 3: Finding and Applying for Funding Finding Funding The Federal Government The State and Local Government Foundations and Corporate Giving Crowdsourced Funding Search and Review Is This Information for Real? Key Points for Chapter 3 Chapter 3 Activity Chapter 4: The Proposal Overview The Components of a Proposal Proposal Submission and Scoring Process Key Points for Chapter 4 Chapter 4 Activities Chapter 5: Logistics and Basics of Writing the Proposal The Nuts and Bolts of Writing a Proposal Writing for an Established versus New Organization Writing a Proposal for a Collaborative Writing Style and Format Using Audio/Visual Media Key Points for Chapter 5 Chapter 5 Activities Chapter 6: Design the Program Understand the Community Through Data Formulating Program Ideas Key Points for Chapter 6 Chapter 6 Activities Chapter 7: Program Objectives and Evaluation Evaluation Four Steps to Preparing the Objectives and Evaluation Plan A Logic Model Writing the Evaluation Section Ethical Considerations Key Points for Chapter 7 Chapter 7 Activity Chapter 8: Writing the Need or Problem Statement The Aim of the Need/Problem Statement A Guide to Writing the Need Statement Theory of Change Key Points for Chapter 8 Chapter 8 Activities Chapter 9: Program Description Implementation Plan The Project Narrative Project Timeline Scope of Work Forms Key Points for Chapter 9 Chapter 9 Activities Chapter 10: Creating the Budget and Budget Justification The Budget Context Preparation of a Line-Item Budget Other Types of Budgets Other Budgeting Issues Key Points for Chapter 10 Chapter 10 Activities Chapter 11: Other Proposal Components and Finishing Touches Project Abstract Agency Capability Statement Sustainability Statement Letters of Support Memorandum of Understanding (MOU) Finishing Touches Key Points for Chapter 11 Chapter 11 Activities Appendix A • Estimating Time Appendix B • Funding Resource Information Appendix C • Budget Appendix D • Additional Information Appendix E • Proposal Sections Appendix F • Handout Materials References and Suggested Readings

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Book SynopsisAn easy to understand guide on research terminology, with the distinct advantage of having an entire action research project to portray key principles of research. It depicts how research can be transformative to teaching pedagogy in the 21st century, with central themes explored such as peer collaboration, and contemporary learning theories.

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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 SynopsisQualitative content analysis is a powerful method for analyzing large amounts of qualitative data collected through interviews or focus groups. It is frequently employed by students, but introductory textbooks on content analysis have largely focused on the quantitative version of the method. In one of the first to focus on qualitative content analysis, Margrit Schreier takes students step-by step through: - creating a coding frame - segmenting the material - trying out the coding frame - evaluating the trial coding - carrying out the main coding - what comes after qualitative content analysis - making use of software when conducting qualitative content analysis. Each part of the process is described in detail and research examples are provided to illustrate each step. Frequently asked questions are answered, the most important points are summarized, and end of chapter questions provide an opportunity to revise these points. After reading the book, students are fully equiped to conduct their own qualitative content analysis. Designed for upper level undergraduate, MA, PhD students and researchers across the social sciences, this is essential reading for all those who want to use qualitative content analysis.Trade ReviewThis book provides a well written, clear and detailed account of QCA, highlighting the value of this research method for the analysis of social, political and psychological phenomenaTereza CapelosUniversity of Surrey Schreier writes clearly and with authority, positioning QCA in relation to other qualitative research methods and emphasising the hands-on aspects of the analysis process. She offers numerous illuminating examples and helpful pedagogical tools for the reader. This book will thus be most welcomed by students at different levels as well as by researchers. Ulla Hällgren GraneheimUmeå University, Sweden This book has been written for students but would be of value to anyone considering using the analysis method to help them reduce and make sense of a large volume of textual data. [...]The content is detailed and presented in text-book style with key points, definitions and beginners’ mistakes scattered throughout and frequently asked questions and end of chapter questions. These break up the text but also help when skimming. In addition, and what I found particularly valuable, was the liberal use of examples drawn from published papers. These really help to clarify and bring to life the issues raised. -- Nicola SingletonSchreier provides several helpful educational tools, such as mid-chapter definitions, summaries and key-points....this is an excellent introductory or reference book for all students of content analysis -- Seth Fallik & JulhiAnn FrancisTable of ContentsIntroduction: What Is Qualitative Content Analysis? What Is Qualitative about Qualitative Content Analysis? Will Qualitative Content Analysis Work for Me? Decision Aids The Coding Frame Building a Coding Frame Strategies for Building a Data-Driven Coding Frame Segmentation and Units of Coding Trying It Out: The Pilot Phase What to Keep in Mind: Evaluating Your Coding Frame The Main Analysis Phase How to Present Your Results Using Software in Doing Qualitative Content Analysis

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Book SynopsisTo the colonized, the term ''research'' is conflated with European colonialism; the ways in which academic research has been implicated in the throes of imperialism remains a painful memory.This essential volume explores intersections of imperialism and research - specifically, the ways in which imperialism is embedded in disciplines of knowledge and tradition as ''regimes of truth.'' Concepts such as ''discovery'' and ''claiming'' are discussed and an argument presented that the decolonization of research methods will help to reclaim control over indigenous ways of knowing and being.Now in its eagerly awaited third edition, this bestselling book includes a co-written introduction features contributions from indigenous scholars on the book's continued relevance to current research. It also features a chapter with twenty-five indigenous projects and a collection of poetry.Table of ContentsIntroduction to the Third Edition Foreword Introduction 1. Imperialism, History, Writing and Theory 2. Research through Imperial Eyes 3. Colonizing Knowledges 4. Research Adventures on Indigenous Land 5. Notes from Down Under 6. The Indigenous People's Project: Setting a New Agenda 7. Articulating an Indigenous Research Agenda 8. Twenty-Five Indigenous Projects 9. Responding to the Imperatives of an Indigenous Agenda: A Case Study of Maori 10. Towards Developing Indigenous Methodologies: Kaupapa Maori Research 11. Choosing the Margins: The Role of Research in Indigenous Struggles for Social Justice 12. Getting the Story Right, Telling the Story Well: Indigenous Activism, Indigenous Research Conclusion: A Personal Journey Twenty Further Indigenous Projects Poems Index

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Book SynopsisAn encyclopedic introduction to research, showing students how to approach each stage of their research project and develop the skills needed to apply methodological concepts.

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Book SynopsisThis book will walk you through every step of crafting an excellent literature review. It will show you where to find sources, how to assess their quality, and how to combine and integrate these sources into the best possible literature review. From scoping the field to searching the literature to synthesising your findings, this book hits all the spots.Presenting a clear and detailed roadmap to ensure you don't miss a step, the book includes: Advice on the best ways to scan and search the literature. All the latest information and advice on using AI tools for searching literature. Case studies and real-life examples from a range of disciplines so you can learn from other researchers who have been in your shoes. DIY activities so you can practice your skills and get to grips with key concepts. Guidance on how to analyse and synthesise the findings from your literature searches. Advice and guidance on organising your writing.For

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Book SynopsisDoing a research project or dissertation can be daunting. This practical book will help you dive straight in, driving each step of the process with confidence. Packed with features to support your learning, this guidebook gives you invaluable advice at each stage, from picking a topic, designing your study and navigating ethics to collecting and analysing data then sharing your findings.This fifth edition: Empowers you to be critical and self-reflective when consuming and doing research, with 19 critical thinking challenges. Equips you with the skills to make good decisions, prepare effectively, and take charge of your own project. Draws on case studies of real-world research to inspire your creativity and curiosity. This popular, down-to-earth guide is a must-have for undergraduate and postgraduate students embarking on research projects across the social sciences.

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Book SynopsisA brief, authoritative introduction to field experimentation in the social sciences.Table of ContentsPreface Chapter 1: Introduction Chapter 2: Causal Inference and Experimentation Chapter 3: Sampling Distributions, Statistical Inference, and Hypothesis Testing Chapter 4: Using Covariates in Experimental Design and Analysis Chapter 5: One-Sided Noncompliance Chapter 6: Two-Sided Noncompliance Chapter 7: Attrition Chapter 8: Interference between Experimental Units Chapter 9: Heterogeneous Treatment Effects Chapter 10: Mediation Chapter 11: Integration of Research Findings Chapter 12: Instructive Examples of Experimental Design Chapter 13: Writing an Experimental Proposal, Research Report, and Journal Article Appendix A: Protection of Human Subjects Appendix B: Suggested Field Experiments for Class Projects

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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 SynopsisOffers information about the organization and administration of programs and the challenges to creating and sustaining viable research opportunities. This resource features a variety of perspectives, including those of external evaluators, longtime program directors, participants, and administrators.

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Book SynopsisThis clear and concise handbook considers the stages of the research process in logical order, from planning of the project through to dissemination of the findings.Trade Review"This textbook...is a useful and concise resource for "first time researchers" in any practice setting...One of the strengths of this text is that it specifically devotes a section to "Writing up and Dissemination of the Findings", as an integral component of the research process...For those working in hospital pharmacy this section is especially useful as it emphasises the need to communicate research findings in order to effect change in the local setting, and how this might be done...Overall, this text is best read in its entirety (a fairly easy read!) as an introduction to research, and would be useful to anyone commencing a research project, not just research students and their supervisors. The text should be part of any hospital pharmacy's library of resources, and a prerequisite text for those taking on roles involving research activities at any level"Dr Beata V. Bajorek, Academic Pharmacist, University of Sydney, Journal of Pharmacy Practice and Research 41(1) 2011. -- Beata V. Bajorek * Journal of Pharmacy Practice and Research *Table of ContentsPart 1 Preparation, planning and management 1. Introduction 2. Types of pharmacy practice projects 3. Setting up the project, protocol development and ethics 4. Time management and working with others 5. Patient and public involvement 6. For supervisors Part 2 Scientific enquiry and research/service evaluation methodology 7. A scientific approach to your research 8. Reviewing the literature 9. Study design 10. Sources of information, datasets, sampling and recruitment 11. Data collection: survey research and questionnaires 12. Data collection: interviews and focus groups 13. Data collection: prospective methods 14. Existing datasets and secondary analyses 15. Data processing and analysis Part 3 Writing up and dissemination of finding 16. Writing the project report/research paper 17. Dissemination of the findings

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Book SynopsisThe Fifth Edition of Harris Cooper's bestselling text offers practical advice on how to conduct a synthesis of research in the social, behavioral, and health sciences. The book is written in plain language with four running examples drawn from psychology, education, and health science. With ample coverage of literature searching and the technical aspects of meta-analysis, this one-of-a-kind book applies the basic principles of sound data gathering to the task of producing a comprehensive assessmentof existing research.Table of ContentsINTRODUCTION: LITERATURE REVIEWS, RESEARCH SYNTHESES AND META-ANALYSES STEP 1: Formulating the Problem STEP 2: Searching the Literature STEP 3: Gathering Information From Studies STEP 4: Evaluating the Quality of Studies STEP 5: Analyzing and Integrating the Outcomes of Studies STEP 6: Interpreting the Evidence STEP 7: Presenting the Results CONCLUSION: Threats to the Validity of Research Synthesis Conclusions

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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 SynopsisThis practical, step-by-step guide explains the most important principles for using a generic approach to descriptive-interpretive qualitative research. Table of ContentsSeries Foreword by Clara E. Hill and Sarah Knox1. Why a Generic Descriptive-Interpretive Approach to Qualitative Research?2. Designing the Study3. Data Collection4. A Framework of Key Modes of Qualitative Data Analysis5. Writing the Manuscript6. Methodological Integrity7. Summary and ConclusionsAppendix. Example StudiesReferences

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Book SynopsisThe long-awaited 2nd edition of this best-selling research methods handbook is fully updated and includes brand new coverage of online research methods and techniques, mixed methodology and qualitative analysis. This edition includes two new contributed chapters: Professor Julie McLeod, Sue Childs and Elizabeth Lomas focus on research data management, applying evidence from the recent JISC funded ‘DATUM’ project; Dr Andrew Shenton examines strategies for analysing existing documents. The first to focus entirely on the needs of the information and communications community, this handbook guides the would-be researcher through the variety of possibilities open to them under the heading ‘research’ and provides students with the confidence to embark on their dissertations. The focus here is on the ‘doing’ and although the philosophy and theory of research is explored to provide context, this is essentially a practical exploration of the whole research process with each chapter fully supported by examples and exercises tried and tested over a whole teaching career. Readership: Students of information and communications studies and archives and records management, and practitioners beginning a piece of research.Trade Review"This reference guide outlines the research process for students and practitioners in information studies, communications, records management, knowledge management, and related disciplines. It covers the three major research paradigms in information science, then reviewing the literature, defining the research, the proposal, sampling, ethics, research methods, the type of question the methods can be used for, and how to design it, including case studies, surveys, experimental research, Delphi studies, action research, historical research, and grounded theory. It also details data collection techniques (interviews, questionnaires, observation, diaries, and focus groups), and qualitative and quantitative data analysis and research presentation. The philosophy and theory behind the research is included only for context; emphasis is on the research process itself. This edition adds two chapters by guest authors on data research management and the analysis of existing documents. The chapters on usability testing and ethnography have been expanded to include netnography and other material." -- Reference and Research Book NewsTable of ContentsPART 1: STARTING THE RESEARCH PROCESS1. Major research paradigms Introduction Positivist research Postpositivism and mixed methods research (MMR) Interpretivist research Qualitative or quantitative methodology? Qualitative research design Quantitative research design Mixed methods research Criteria for judging research Establishing trustworthiness in qualitative research Establishing rigour in quantitative research Summary Practical exercise Suggested further reading 2. Reviewing literature Introduction Information searching and retrieval Evaluation Critical analysis Synthesizing the research: developing a theoretical framework Summary Practical exercise Suggested further reading 3. Defining the research Introduction Designing a conceptual framework The research hypothesis Research aims and objectives Summary Practical exercise Suggested further reading 4. The research proposal Why write a proposal? Structure of a research proposal The proposal as a research framework Summary Practical exercise Suggested further reading 5. Sampling Why sample? Population and sample Probability sampling Purposive sampling Summary Practical exercise Suggested further reading 6. Research Data Management - Julie McLeod, Sue Childs and Elizabeth Lomas Introduction – research data and its management challenges Why is research data management important? The research process, data lifecycles and research data management How do I manage my research data? Summary Practical exercise Websites referred to in this chapter Suggested further reading 7. Ethics in research Introduction Gaining access to the field Informed consent Anonymity or confidentiality? Protecting participants Ethics online Summary Practical exercise Suggested further reading 8. Case studies Introduction Phases in case study research Summary Practical exercise Suggested further reading 9. Surveys Introduction Descriptive surveys Explanatory surveys The survey process Summary Practical exercise Suggested further reading 10. Experimental research Introduction The nature of causality The true experiment Quasi-experimental design: the ‘effects study’ Summary Practical exercise Suggested further reading 11. Usability testing Introduction Quasi-experimental usability studies Cognitive walkthroughs Heuristic evaluation Summary Practical exercise Suggested further reading 12. Ethnography Introduction Components of ethnographic study Virtual ethnography – ‘netnography’ Ethics in ethnography Summary Practical exercise Suggested further reading 13. Delphi study Introduction The Delphi process Rules of a Delphi study Modifying a Delphi study Delphi studies and new technologies Summary Practical exercise Suggested further reading 14. Action research Introduction The action research cycle Trustworthiness in action research Action research as reflective practice Summary Practical exercise Suggested further reading 15. Historical research Introduction The research process Summary Practical exercise Suggested further reading 16. Grounded theory: method or analysis? Introduction Defining grounded theory Summary Practical exercise Suggested further reading PART 3: DATA COLLECTION TECHNIQUES17. Interviews Introduction What is the purpose of an interview? The seven stages of the interview process Online interviewing Summary Practical exercise Suggested further reading 18. Questionnaires Introduction Designing questionnaires Developing questions Scale items Forms of questionnaire Summary Practical exercise Suggested further reading 19. Observation Introduction The role of the observer Recording what you see; going in with signposts Summary Practical exercise Suggested further reading 20. Diaries Introduction The purpose of diaries in research Participant diaries The researcher’s log Structure and recording Summary Practical exercise Suggested further reading 21. Focus groups Introduction Purpose of a focus group Organizing a focus group Online focus groups Summary Practical exercise Suggested further reading 22. Analysis of existing, externally created material - Andrew K. Shenton Introduction The different supporting roles of documents LIS research principally based on documents Citation analysis Logs associated with computer software and the use of ICT Summary Practical exercise Suggested further reading PART 4: DATA ANALYSIS AND RESEARCH PRESENTATION23. Qualitative analysis Introduction Phenomenological strategies Ethnographic methods Narrative and discourse analysis Constant comparative analysis Memo writing Presenting qualitative findings Software for qualitative analysis Summary Practical exercise Suggested further reading 24. Quantitative analysis Introduction Levels of measurement Frequency distribution Cross-tabulation Measures of central tendency Measures of dispersion Correlation Displaying data Testing for statistical significance Software for quantitative analysis Summary Practical exercise Suggested further reading 25. Presenting the research Introduction Planning the final report Form and structure Summary Suggested further reading PART 5: GLOSSARY AND REFERENCES Glossary of research terms References

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Book SynopsisThis guide explains how to conduct a discursive psychology research project. Such research explores how our use of language results in specific beliefs, versions of reality, and social actions. Trade ReviewThis excellent, readily accessible book covers the key steps involved in conducting discursive psychological studies, discussing theoretical background and research design through to publication and dissemination of findings. The useful examples neatly clarify the points and decisions involved in each step. -- Professor Chris McVittie, Fellow of the American Psychological Association, Division 5, and Professor of Social Psychology, Queen Margaret University, Edinburgh, Musselburgh, ScotlandThis accessible text renders the process of doing discursive psychology transparent. McMullen leads us through the stages of discursive psychological research, using clear examples while also pointing to the possibilities, limitations, and debates associated with such research. It is appropriate for students as well as researchers interested in the analysis of language-as-used. -- H. Lorraine Radtke, PhD, Professor Emerita, Department of Psychology, University of Calgary, Calgary, Alberta, CanadaTable of ContentsSeries Foreword—Clara E. Hill and Sarah Knox 1. Conceptual Foundations of Discursive Psychology What Is Discourse, and What Is Discourse Analysis? What Is Discursive Psychology, and What Is Critical Discursive Psychology? Why Choose Discursive Psychology, and What Does This Choice Entail? What Are Some Major Components of Discursive Psychology? Deciding Whether to Use This Methodology 2. Designing a Study Stating the Topic and Engaging in Initial Searches of Literatures Framing the Research Question(s) Determining What Type of Data to Collect or Generate to Address Your Research Questions 3. Collecting and Generating Data Collecting Archival or Already Existing Data Generating Data From Interviews or Focus Groups 4. Analyzing Your Data A Process of Data Analysis Examples of Detailed Analyses of Extracts of Data Concluding Comments on Analyzing Your Data 5. Disseminating Your Research Preparing a Manuscript for Publication in a Journal Beyond the Manuscript 6. What Constitutes Good Discursive Research? Documentation Demonstration Plausibility Coherence Fruitfulness 7. Ongoing Conversations Questions of Ethics Questions Related to Conceptual Advancements and Methodological Innovations Final Thoughts Appendix A: Exemplar Studies Appendix B: Commonly Used Transcription Notations Appendix C: Examples of Discursive Devices and Resources References Index About the Author About the Series Editors

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Book SynopsisAuthor Bagele Chilisa has revised and updated her groundbreaking textbook to give a new generation of scholars a crucial foundation in indigenous methods, methodologies, and epistemologies. Addressing the increasing emphasis in the classroom and in the field to sensitize researchers and students to diverse perspectives--especially those of women, minority groups, former colonized societies, indigenous people, historically oppressed communities, and people with disabilities--the second edition ofIndigenous Research Methodologiessituates research in a larger, historical, cultural, and global context to make visible the specific methodologies that are commensurate with the transformative paradigm of social science research. Chapters cover the history of research methods, ethical conduct, colonial and postcolonial epistemologies, relational epistemologies, emergent and indigenous methodologies, Afrocentric research, feminist research, narrative frameworks, interviewing,Table of ContentsPreface Acknowledgments About the Author Chapter 1 • Situating Knowledge Systems Overview Learning Objectives Before You Start Introduction Terminology in Postcolonial Indigenous Research Methodologies Decolonization of Western Research Methodologies Summary Chapter 2 • Research Paradigms Overview Learning Objectives Before You Start Contested Knowledge: Indigenous Perspectives or Paradigm? A Postcolonial Indigenous Research Paradigm Assumptions About the Nature of Reality, Knowledge, and Values Methodology Euro-Western Research Paradigms Summary Chapter 3 • Discovery and Recovery: Reading and Conducting Research Responsibly Overview Learning Objectives Before You Start Introduction Postcolonial and Indigenous Theories Researching Back: Methodological Imperialism Postcolonial Theory and Language Critical Race Theories Summary Chapter 4 • Whose Reality Counts? Research Methods in Question Overview Learning Objectives Before You Start Colonizer/Colonized Dichotomies and the Ideology of the Other Dismissing Indigenous Ways of Knowing Research Ethics and the Legitimacy of Knowledge Summary Chapter 5 • Postcolonial Indigenous Research Paradigms Overview Learning Objectives Before You Start Indigenous Knowledge and Research Indigenizing Research Methodologies Postcolonial Indigenous Research Paradigms Relational Ontology in Context: Perspectives From Africa Relational Ontology: Perspectives From Scholars in Canada and Australia Relational Epistemologies Relational Axiology Relational Axiology: Perspectives From North America and Canada Summary Chapter 6 • Decolonizing Evaluation Overview Learning Objectives Before You Start Why Evaluation Evaluation Discourse in a Global Context Blind Reliance on Eurocentric Tools The Shift in Evaluation Practice The Made in Africa Evaluation Perspective: A Paradigmatic Lens Decolonization Intent Indigenous Multicultural Validity Conducting an Indigenous Evaluation Summary Chapter 7 • Decolonizing Mixed Methods Research Overview Learning Objectives Before You Start Toward the Meaning of MMR Mixed Methods Designs and Rationales Indigenous Mixed Methods Approaches Summary Chapter 8 • Indigenous Mixed Methods in Program Evaluation Overview Learning Objectives Before You Start The Indigenous Paradigmatic Lens Embedding the Study in Global Knowledge Summary Chapter 9 • Theorizing on Social Science Research Methods: Indigenous Perspectives Overview Learning Objectives Before You Start Introduction Methods Based on Ethnophilosophy Storytelling Methods In What Language Is the Story Told? Summary Chapter 10 • Culturally Responsive Indigenous Research Methodologies Overview Learning Objectives Before You Start Regional, National, and Local Specific Methodologies Paradigm, Methodology, and Methods Validity and Reliability: An Overview Rigor in Qualitative Research Credibility Validity: A Postcolonial Indigenous Framework Accountability, Respectful Representation, Reciprocity, and Rights and Responsibilities Kaupapa Maori Research Methodology Ethical Issues in the Creative Relationship Framework Cyclical Postcolonial Indigenous Research Methodologies: The Medicine Wheel Pacific Research Methodologies The Afrocentric Paradigm Ethics That Underscore the Importance of Agreement and Consensus, Dialogue, and Particularity Summary Chapter 11 • Decolonizing the Interview Method Overview Learning Objectives Before You Start The Conventional Interview Method: An Overview Postcolonial Indigenous Interview Methods Indigenous Focus Group Interviews Symbols in Postcolonial Indigenous Interview Methods Conducting a Postcolonial Indigenous Interview Summary Chapter 12 • Participatory Research Methods Overview Learning Objectives Before You Start Action Research: An Overview Participatory Rural Appraisal Other Methods The Participatory Action Research Process Summary Chapter 13 • Postcolonial Indigenous Feminist Research Methodologies Overview Learning Objectives Before You Start Introduction Postcolonial Indigenous Feminist Theory and Research Methodologies Western Feminisms African Feminisms and Black Feminisms Indigenous Feminist Participatory Methods in Practice Summary Chapter 14 • Building Partnerships and Integrating Knowledge Systems Overview Learning Objectives Before You Start Postcolonial Indigenous and Social Justice Working Relationships Cross-Cultural Partnership Research and Collaboration Between Academics and Donors Planning Research From a Postcolonial Indigenous Research Perspective Summary References Index

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Book Synopsis "This book is a must for learning about the experimental design–from forming a research question to interpreting the results this text covers it all." –Sarah El Sayed, University of Texas at Arlington Designing Experiments for the Social Sciences: How to Plan, Create, and Execute Research Using Experiments is a practical, applied text for courses in experimental design. The text assumes that students have just a basic knowledge of the scientific method, and no statistics background is required. With its focus on how to effectively design experiments, rather than how to analyze them, the book concentrates on the stage where researchers are making decisions about procedural aspects of the experiment before interventions and treatments are given. Renita Coleman walks readers step-by-step on how to plan and execute experiments from the beginning by discussing choosing and collecting a sample, creating the stimuli and questionnaire, doing a manipulation check or pre-test, analyzing the data, and understanding and interpreting the results. Guidelines for deciding which elements are best used in the creation of a particular kind of experiment are also given. This title offers rich pedagogy, ethical considerations, and examples pertinent to all social science disciplines. Trade Review"This book offers many examples and hands-on instruction that can help students learn how to conduct experiments." -- Francis O. Adeola"This book is a must for learning about the experimental design–from forming a research question to interpreting the results, this text covers it all." -- Sarah El Sayed"This text provides students with an excellent explanation of experimental methodology: not just descriptions of elements of the experiment method, but understanding of where those elements came from, how and why they work together, and how students can become scholars." -- Kyle J. Holody"This is a comprehensive text on experiments, clearly and engagingly written, with many excellent examples. Renita Coleman has included everything the student will need to develop, design, and execute a methodologically-sound experiment." -- Glenn Leshner"This textbook is detailed and well organized, with each topic progressing logically to build on foundational knowledge. Students will find it easy to master research concepts, and practice using the exercises and examples provided. The ‘Study Spotlight’ scenarios and practical examples are effective tools to demonstrate research designs, and the ‘Test Your Knowledge Quizzes’ reinforce student learning." -- Janet Reid-Hector"This book is well-written and readable. If you need to grasp concepts of experimental designs, this book guides you as to what the experimental designs are, and what you should keep in mind in conducting your studies." -- Ji-Hoon RyooTable of ContentsPreface Acknowledgments About the Author 1. Discovering Cause and Effect Causation Experiments Compared to Other Methods Basic Criteria for Experiments Elements of Experiments Starting a Study of Your Own 2. Ethics and Famous Experiments in History The Scurvy Studies The Contributions of Charles Peirce Ronald Fisher’s Plots and Tea B. F. Skinner: Small Samples, High Tech Stanley Milgram Shocks the World Philip Zimbardo: Raising Consciences in a Stanford Basement Conclusion 3. Theory, Literature, and Hypotheses The Literature Review Hypotheses and Research Questions 4. Types of Experiments Campbell and Stanley’s Typology of Experiments Quasi Experiments Natural Experiments Field Experiments 5. Internal and External Validity Ecological and External Validity Generalizability Cause and Effect Logical Inference Replication Internal Validity 6. Factorial Designs Single-Factor Designs Factorial Designs How Subjects Are Used in Designs Control Groups 7. Random Assignment The Purpose of Random Assignment Operationalizing Random Assignment Reporting Random Assignment Balanced and Unbalanced Designs Checking That Random Assignment Was Effective Blocking, Matching, and Other Strategies Random Assignment of Other Things Random Assignment Resistance 8. Sampling and Effect Sizes Student Samples Amazon’s Mechanical Turk Other Subject Sources Recruiting Incentives Sample Size and Power 9. Stimuli and Manipulation Checks Examples of Stimuli Advice on Creating Stimuli Manipulation Checks Reporting the Stimuli and Manipulation Checks 10. Instruments and Measures Instruments Measurement Issues 11. The Institutional Review Board and Conducting Ethical Experiments Institutional Review Boards Ethical Issues in Experiments Protecting Subjects Researcher Issues Pilot Studies Glossary Index

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

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Book SynopsisIn Doing Good Qualitative Research, Jennifer Cyr and Sara Wallace Goodman bring together over forty experts to provide one of the first comprehensive introductions to using qualitative methods across the social sciences. From concept formation and case selection to fieldwork, analysis, write-up, and publication, this volume provides accessible and practical advice to completing a qualitative research project. In addition to the basics of practicing qualitative research, chapters also discuss rarely covered but important topics, including fieldwork and mental health, interviewing vulnerable populations, fieldwork in violent contexts, and conducting fieldwork as a minoritized scholar. Each chapter introduces the theoretical considerations and best practices involved in the application of qualitative data collection and analysis. Additionally, contributors provide first-person accounts of methodology in action, address the expected and unexpected challenges associated with conducting qual

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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 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 SynopsisStatistics in Plain English is a straightforward, conversational introduction to statistics that delivers exactly what its title promises. Each chapter begins with a brief overview of a statistic (or set of statistics) that describes what the statistic does and when to use it, followed by a detailed step-by-step explanation of how the statistic works and exactly what information it provides. Chapters also include an example of the statistic (or statistics) used in real-world research, Worked Examples, Writing It Up sections that demonstrate how to write about each statistic, Wrapping Up and Looking Forward sections, and practice work problems.Thoroughly updated throughout, this edition features several key additions and changes. First, a new chapter on person-centered analyses, including cluster analysis and latent class analysis (LCA) has been added, providing an important alternative to the more commonly used variable-centered analyses (e.g., t tests, ANOVA, regression). Next, the chapter on non-parametric statistics has been enhanced with in-depth descriptions of Mann-Whitney U, Kruskal-Wallis, and Wilcoxon Signed-Rank analyses, in addition to the detailed discussion of the Chi-square statistic found in the previous edition. These nonparametric statistics are widely used when dealing with nonnormally distributed data. This edition also includes more information about the assumptions of various statistics, including a detailed explanation of the assumptions and consequences of violating the assumptions of regression, as well as more coverage of the normal distribution in statistics. Finally, the book features a multitude of real-world examples throughout to aid student understanding and provides them with a solid understanding of how several statistics techniques commonly used by researchers in the social sciences work.Statistics in Plain English is suitable for a wide range of readers, including students taking their first statistics course, professionals who want to refresh their statistical memory, and undergraduate or graduate students who need a concise companion to a more complicated text used in their class. The text works as a standalone or as a supplement and covers a range of statistical concepts from descriptive statistics to factor analysis and person-centered analyses.Table of Contents1. Introduction to Social Science Research Principles and Terminology, 2. Measures of Central Tendency, 3. Measures of Variability, 4. The Normal Distribution, 5. Standardization and z Scores, 6. Standard Errors, 7. Statistical Significance, Effect Size, and Confidence Intervals, 8. t Tests, 9. One-Way Analysis of Variance, 10. Factorial Analysis of Variance, 11. Repeated-Measures Analysis of Variance, 12. Correlation, 13. Regression, 14. Nonparametric Statistics, 15. Factor Analysis and Reliability Analysis: Data Reduction Techniques, 16. Person-Centered Analysis, Appendix A. Area Under the Normal Curve Beyond Z, Appendix B. Critical Values of the t Distributions, Appendix C. Critical Values of the F Distributions, Appendix D. Critical Values of the Studentized Range Statistic (for Tukey HSD Tests), Appendix E: Table of the Fischer’s Z Transformations for Correlation Coefficients, Appendix F. Critical Values of the Mann-Whitney U Statistic, Appendix G. Critical Values for Wilcoxon Signed-Rank Test, Appendix H. Critical Values of the X2 Distributions

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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 SynopsisOn Vulnerability maps out an array of perspectives for critically examining the nature of vulnerability, its unequal patterning across different social groups, alongside the everyday social processes that render us vulnerable interactions, identity and group dynamics.Each chapter equips the reader with a particular sensitising framework for navigating and questioning what it means to be vulnerable or how people cope amid vulnerability. From deviance, stigma and the spoiling or fracturing of identity, to perspectives such as intersectionality, risk, emotions and the vulnerable body, the book traces the theoretical roots of these different analytical lenses, before applying these through illuminating examples and case studies. Drawing on scholarship across more interpretative, analytic and critical traditions, the chapters combine into a multi-dimensional toolkit which will enable the study of the cultural meanings of vulnerability, the political-economicTable of ContentsIntroduction1. Vulnerability as deviance and stigma2. When ‘normal’ people become vulnerable3. The intersectionality of vulnerability4. Understanding vulnerability through the lens of risk5. Trust, hope, magic and the paradox of vulnerability6. The vulnerable body7. Vulnerability to suffering8. Ethical concerns in researching vulnerability, as inseparable from methodological and analytical considerationsConclusions: Three types of knowledge around vulnerability

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Book SynopsisWithout question, statistics is one of the most challenging courses for students in the social and behavioral sciences. Enrolling in their first statistics course, students are often apprehensive or extremely anxious toward the subject matter. And while IBM SPSS is one of the more easy-to-use statistical software programs available, for anxious students who realize they not only have to learn statistics but also new software, the task can seem insurmountable. Keenly aware of studentsâ anxiety with statistics (and the fact that this anxiety can affect performance), Ronald D. Yockey has written SPSS Demystified: A Simple Guide and Reference, now in its fourth edition. Through a comprehensive, step-by-step approach, this text is consistently and specifically designed to both alleviate anxiety toward the subject matter and build a successful experience analyzing data in SPSS . Topics covered in the text are appropriate for most introductory and intermediate statistics and research methods courses.Key features of the text:â Step-by-step instruction and screenshotsâ Designed to be hands-on with the user performing the analyses alongside the text on their computer as they read through each chapterâ Call-out boxes provided, highlighting important information as appropriateâ SPSS output explained, with written results provided using the popular, widely recognized APA formatâ End-of-chapter exercises included, allowing for additional practiceâ SPSS data sets available on the publisherâs websiteNew to the Fourth Edition:â Fully updated to SPSS 28â Updated screenshots in full color to reflect changes in the SPSS software system (version 28)â Exercises updated with up-to-date examplesâ Exact p-values provided (consistent with APA recommendations)Table of ContentsPart I: Introduction to SPSS, Descriptive Statistics, Graphical Procedures of Data, and Reliability Using Coefficient Alpha 1. Introduction to SPSS, 2. Descriptive Statistics: Frequencies, Measures of Central Tendency, and Measures of Variability, 3. Graphical Procedures, 4. Reliability (As Measured by Coefficient Alpha); Part II: Inferential Statistics 5. The One-Sample t Test, 6. The Independent-Samples t Test, 7. The Dependent-Samples t Test, 8. The One-Way Between Subjects Analysis of Variance (ANOVA), 9. The Two-Way Between Subjects Analysis of Variance (ANOVA), 10. The One-Way Within Subjects Analysis of Variance (ANOVA), 11. The One-Between–One-Within Subjects Analysis of Variance (ANOVA), 12. The Pearson r Correlation Coefficient, 13. Simple Linear Regression, 14. Multiple Linear Regression, 15. The Chi-Square Goodness of Fit Test, 16. The Chi-Square Test of Independence; Appendix A. Data Transformations and Other Procedures Appendix B. Solutions to Chapter Exercises

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Book SynopsisThe Wounded Researcher addresses the crises of epistemological violence when we fail to consider that a researcher is addressed by and drawn into a work through his or her complexes. Using a Jungian-Archetypal perspective, this book argues that the bodies of knowledge we create degenerate into ideologies, which are the death of critical thinking, if the complexity of the research process is ignored. Writing with soul in mind invites us to consider how we might write down the soul in writing up our research.Trade Review‘Soul work and academic research have been so split apart that both have been lamed – soul psychology without intellectual respectability and scholarly research utterly irrelevant to the soul’s concerns. Romanyshyn’s book not only follows from all his earlier diligent explorations in the Western history of soul, but charts a course that joins the integrity of scholarly work with devotion to the soul’s vital needs. New winds, new directions, new methods.’ – James Hillman‘In this sparkling new book, Romanyshyn re-imagines depth psychology as a praxis of "research that keeps soul in mind" in several ways at once: as a practice of mourning what has been lost in one’s experience; as an alchemical hermeneutics that consists in transference dialogues with one’s unconscious psyche; and as an ethics of self-examination by the researcher that acknowledges his or her wounded state in the complexes that underlie perception and judgment. Building on the premise that the chasm between psyche and nature must be bridged, Romanyshyn re-visions both therapy and theory. Therapy becomes much more sensitive to the imagistic in its attention to reverie; theory reinstates the archetypal, collective and psychoid unconscious as primary reality. This exciting book takes bold steps that are as original as they are timely.’ – Edward S. Casey, SUNY at Stony Brook; Pacifica Graduate Institute‘Like Orpheus who steps into the gaps of seemingly unbridgeable differences, Romanyshyn has alchemically transformed our understanding of what it means to do truly profound and ethical psychological research. This groundbreaking contribution to the field of Jungian/archetypal psychology and hermeneutic phenomenology could well begin a revolution in the way psychological research is imagined and practiced.’ – Stanton Marlan, Jungian psychoanalyst, Adjunct Clinical Professor of Psychology, Duquesne University‘Romanyshyn engagingly explores the gap between the motivation to do embodied, soulful research and the failure of language to communicate the unknowable core that can give meaning to a research project. For students on the dissertation journey, this book is a map that makes it possible to travel in territory traditionally excluded from academia. Romanyshyn defends his controversial proposition with passion and a powerful dedication to introducing eros into academic research.’ – Ginette Paris, Core Faculty, Pacifica Graduate Institute, author of The Wisdom of the Psyche: Beyond NeuroscienceTable of ContentsAcknowledgments. Preface. Prologue: Falling into the Work. Introduction: Towards a Poetics of the Research Process. Part I: Theory. Soul and the Complex of Psychology. Re-search: Under the Spell of Orpheus. An Imaginal Approach to Re-search. Part II: Process. Re-search as Vocation. The Transference Field between the Researcher and the Work. The Transference Field: Student Examples. Part III: Method. Recovering the Soul of Method. Hermeneutics and the Circle of Understanding. Towards a Hermeneutics of Deep Subjectivity. Alchemical Hermeneutics: Part One. Alchemical Hermeneutics: Part Two. Part IV: Implications. Writing down the Soul. Towards an Ethical Epistemology. Prologue: Letting Go of the Work. Appendix. Notes. Index.

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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 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 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 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 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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