{"title":"Research methods \/ methodology Books","description":"","products":[{"product_id":"qualitative-research-methods-9780190304287","title":"Qualitative Research Methods","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eQualitative Research Methods 5e provides an accessible, practical guide to conducting and analysing qualitative research. This multidisciplinary text uses relevant and engaging examples to explain methodological issues, and shows how to use established, innovative and complex methods of research effectively.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePART I: BACKGROUND TO QUALITATIVE RESEARCH1. Methodological Frameworks and Sampling in Qualitative Research2. Rigour and Ethics in Qualitative ResearchPART 2: TYPES OF QUALITATIVE RESEARCH METHODS3. The In-depth Interviewing Method4. Focus Groups5. Unobtrusive Methods6. Narrative Enquiry Methodology: Life and Oral History, Life Story, and Biographical Research7. Memory-work8. Ethnography9. Participatory Action Research10. Qualitative Case Study Research11. Grounded Theory ResearchPART 3: MANAGING QUALITATIVE RESEARCH12. Making Sense of Qualitative Data: The Analysis Process13. Writing a Qualitative Research Proposal: Making a Plan14. Writing a Qualitative Research Report: Telling the StoryPART 4: APPLICATIONS OF QUALITATIVE RESEARCH15. Researching the ‘Vulnerable’16. Conducting Cross-Cultural Research Qualitatively17. Going Online: Doing Qualitative Research in Cyberspace18. Qualitative Research: New Directions","brand":"Oxford University Press Australia","offers":[{"title":"Default Title","offer_id":48732536504663,"sku":"9780190304287","price":50.34,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780190304287.jpg?v=1719997326"},{"product_id":"the-oxford-handbook-of-qualitative-research-9780190847388","title":"The Oxford Handbook of Qualitative Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis handbook is a comprehensive methodological resource intended for a wide readership and incorporates several enhancements to the first edition ..., including new chapters on \"duoenthnography,\" team-based research, and teaching qualitative research, as well as updated references and examples. ... Anyone seeking practical information about conducting qualitative research would benefit from this work. The enhancements justify investing in this new edition. * R. V. Labaree, CHOICE *\u003cbr\u003eEditor Patricia Leavy has assembled an insightful collection that examines the challenges and opportunities inherent to qualitative research. Inclusive and dynamic, the handbook's chapters will be of interest, and helpful, to a wide array of new and senior researchers. * Keith Berry, Associate Professor, Department of Communication, University of South Florida *\u003cbr\u003ePatricia Leavy has done it again! The Second Edition of The Oxford Handbook of Qualitative Research is a rich resource for a field trying to keep abreast of a multitude of nuanced changes within qualitative research. The Handbook provides substantive and historical overviews of qualitative traditions, and it also opens the way for introducing more emergent and contemporary approaches. Yet it doesn't stop there — the volume covers ongoing issues such as evaluation, ethics, and public engagement for all qualitative researchers. Accessible for students, scholars, and practitioners alike, this Handbook is a must-have resource for anyone embarking upon or continuing their work in qualitative research! * Rita L. Irwin, Professor, Art Education and Curriculum Studies, The University of British Columbia *\u003cbr\u003eThis new edition of The Oxford Handbook of Qualitative Research, masterfully edited by Patricia Leavy and authored by an impressive team of international and multi-disciplinary scholars, is a veritable feast, articulating with freshness and vitality issues that are crucial for qualitative researchers across the social sciences. Enthusiastically recommended! * Liora Bresler, Professor Emerita, College of Education, University of Illinois *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface  1. Introduction by the Editor: Patricia Leavy   Part One: The Qualitative Tradition  2. Historical Overview of Qualitative Research in the Social Sciences: Svend Brinkmann, Michael Hviid Jacobsen, and Søren Kristiansen 3. The History of Historical-Comparative Methods in Sociology: Chares Demetriou and Victor Roudometof 4. The Centrality of Ethics in Qualitative Research: Anna Traianou  Part Two: Approaches to Qualitative Research   5. Philosophical Approaches to Qualitative Research: Renée Spencer, Julia M. Pryce, and Jill Walsh 6. Applied Interpretive Approaches: Sally E.Thorne 7. The Grounded Theory Method: Antony Bryant 8. Feminist Qualitative Research: Toward Transformation of Science and Social Justice: Maureen C. McHugh 9. Critical Approaches to Qualitative Research: Kum-Kum Bhavnani, Peter Chua, and Dana Collins 10. Decolonizing Research Practice: Indigenous Methodologies, Aboriginal Methods, and Knowledge\/Knowing: Mike Evans, Adrian Miller, Peter Hutchinson, and Carlene Dingwall  Part Three: Narrative Inquiry, Field Research, and Interview Methods  11. Practicing Narrative Inquiry II: Making Meanings Move: Arthur P. Bochnerand Andrew F. Herrmann 12. Ethnography: Anthony Kwame Harrison 13. Practicing Autoethnograhy and Living the Autoethnographic Life: Carolyn Ellis and Tony E. Adams 14. Duoethnography: A Polytheoretical Approach to (Re)Storing, (Re)Storying the Meanings that One Give: Joe Norris and Rick Sawyer 15. Unstructured and Semi-Structured Interviewing: Svend Brinkmann 16. Oral History Interviewing: With Purpose and Critical Awareness: Valerie J. Janesick 17. Focus Group Research: Retrospect and Prospect: George Kamberelis and Greg Dimitriadis 18. Museum Studies: Erica L. Tucker  Part Four: Text, Arts-Based, and Internet Methods  19. Content Analysis: Lindsay Prior 20. Photography as a Research Method: Gunilla Holm 21. Arts-Based Research Practice: Merging Social Research and the Creative Arts: Gioia Chilton and Patricia Leavy 22. Qualitative Approaches in Internet-Mediated Research: Opportunities, Issues, Possibilities: Claire Hewson  Part Five: Multi-Method, Mixed Methods, and Participatory Designs  23. Case Study Research: In-Depth Understanding in Context: Helen Simons 24. Program Evaluation: Paul R.Brandon and Anna L. Ah Sam 25. Community-Based Research: A Grass-Roots and Social Justice Orientation to Inquiry: Margaret Boyd  26. Complex Teams and Qualitative Research: Judith Davidson  27. Qualitative Disaster Research: DeeDee M. Bennett, Mark R. Landahl, Brenda D.Phillips 28. Conducting Mixed Methods Research: Using Dialectical Pluralism and Social Psychological Strategies: Susan A. Tucker, R. Burke Johnson, Tony Onwuegbuzie, and Marjorie L. Icenogle  Part Six: Analysis and Interpretation   29. Qualitative Data Analysis Strategies: Johnny Saldaña 30. Computer-Assisted Analysis of Qualitative Research: Christina Silver and Ann F. Lewins 31. Interpretation Strategies in Qualitative Research: What, Why, How: Allen Trent and Jeasik Cho  Part Seven: Representation and Evaluation  32. Writing Up Qualitative Research: Jane F.Gilgun 33. Transforming Field Notes into Text: Jessica Smartt Gullion 34. Creative Approaches to Writing: Sandra L. Faulkner and Sheila Squillante 35. Scripting Ethnodrama: Joe Salvatore 36. Write-Reach-Repeat: The Role and Rise of Public Intellectualism in Qualitative Research: Robin M. Boylorn 37. Evaluating Qualitative Research 2.0: Jeasik Cho and Allen Trent  Part Eight: Conclusion: Politics, Pedagogy, and the Public  38. The Politics of Research: Michael D. Giardina and Joshua I. Newman 39. Superheroes and Superpowers: Contemplative, Creative, and De\/Colonial Approaches to Teaching Qualitative Research: Kakali Bhattacharya 40. A Changing Terrain: Qualitative Research in the Age of Transdisciplinarity and Public Scholarship: Patricia Leavy","brand":"Oxford University Press Inc","offers":[{"title":"Default Title","offer_id":48732543680855,"sku":"9780190847388","price":216.45,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780190847388.jpg?v=1719997359"},{"product_id":"evaluation-and-action-research-an-integrated-framework-to-promote-data-literacy-and-ethical-practices-rebuilding-the-past-9780190921729","title":"Evaluation and Action Research An Integrated","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eToday''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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface   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","brand":"Oxford University Press Inc","offers":[{"title":"Default Title","offer_id":48732549153111,"sku":"9780190921729","price":36.09,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780190921729.jpg?v=1719997379"},{"product_id":"how-to-do-research-and-how-to-be-a-researcher-9780192868657","title":"How to Do Research and How to Be a Researcher","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eWritten in an accessible and engaging style, this book is for anyone embarking on a research project or beginning to think about a career involving research, and for those in need of refocusing on why they started research in the first place.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eNew and Noteworthy! * The Lunar and Planetary Information Bulletin *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1: Introduction 2: Origin stories 3: God or clockwork? The importance of ignorance 4: Careful observation 5: Ideas under pressure 6: Choosing a solution 7: The ideal and the reality 8: Consensus 9: Designing research - from description to theory-building 10: Designing research - experiments 11: Designing research - alternatives to experiments 12: Designing research - R\u0026amp;D 13: Communication 1 - getting published 14: Communication 2 - getting known 15: Money 16: Power and politics 17: How to be a researcher - some conclusions","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732606497111,"sku":"9780192868657","price":20.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780192868657.jpg?v=1719997622"},{"product_id":"genomic-politics-9780197550731","title":"Genomic Politics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA groundbreaking analysis of how the genomic revolution is transforming American society and creating new social divisions-some along racial lines-that promise to fundamentally shape American politics for years to come. The emergence of genomic science in the last quarter century has revolutionized medicine, the justice system, and our understanding of who we are. We use genomics to determine guilt and exonerate the falsely convicted; devise new medicines; test embryos; and discover our ethnic and national roots. One might think that, given these advances, most would favor the availability of genomic tools. Yet as Jennifer Hochschild explains in Genomic Politics, the uses of genomic science are both politically charged and hotly contested. After all, genomics might result in bioterrorism, a demand for designer babies, or a revival of racial biology.Political divisions around genomics do not follow the usual left-right ideological divides that dominate most of American politics. Through\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThe Genomics Revolution is all around us, and it is wise to watch carefully for both positives and negatives, both personal and global. This book is a superbly balanced and comprehensive guide to enable all of us to understand and engage with that watching, working together to prevent mishaps and ensure equitable access to benefits. * George Church, Professor of Genetics, Harvard Medical School *\u003cbr\u003e'The issues that genomics poses are too important, new, and complex to afford the luxury of one-sided or partial viewpoints,' Jennifer Hochschild writes is this pathbreaking book about a new scientific revolution that inspires hope, awe and wonder as well as anxiety, uneasiness and even alarm. She lives up to her own standard by painstakingly, empathetically and engagingly explaining the arguments we are likely to have with each other while being upfront about her own nuanced views. Genomic Politics is an important achievement, a model of careful research, honest reflection and political savvy. * E. J. Dionne Jr., author of Code Red and Our Divided Political Heart *\u003cbr\u003eNobody is talking about the science-fictionesque reality of gene editing and genetic prediction that has arrived. Nobody, that is, except Jennifer Hochschild in her wonderful book, Genomic Politics. Unlike most issues, currently genetic policy is not highly polarized—though that's sure to change soon enough as charges of eugenics or 'playing god' start flying. Hochschild offers advice on how we might have a fruitful public dialogue as we approach this transformative technology. A must read for anyone concerned with science and society. * Dalton Conley, Henry Putnam University Professor of Sociology, Princeton University *\u003cbr\u003eIn this brilliant multi-method exploration, Hochschild shows how citizens and experts form beliefs about genomics and determine whether to oppose or support it. The answer lies not in political ideology or partisanship—the fallback explanation that many may presume—but rather in attitudes about genetics and risk. The book provides a remarkable portrait of what people think of genomics. Even more important is that Hochschild reveals how people form their impressions on new issues with huge public policy consequences. A must read for those interested in genomics and for anyone who cares about the public, preferences, and democratic governance. * James N. Druckman, Payson S. Wild Professor of Political Science, Northwestern University *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface and Acknowledgments   1: Political puzzles: BiDil, ancestry testing, forensic biobanks, and prenatal gene editing   2: The basic framework: nature and nurture, risks and gains   3. Disputes over genomic science are not partisan   4. Enthusiasm and skepticism   5. Hope and rejection   6. Experts   7. Locating the public in the basic framework   8. Why are Americans enthusiastic, skeptical, hopeful, or rejecting?   9. Who should govern?   10. Governing genomics   Appendix   Endnotes","brand":"Oxford University Press Inc","offers":[{"title":"Default Title","offer_id":48732648898903,"sku":"9780197550731","price":21.67,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780197550731.jpg?v=1719997793"},{"product_id":"the-complete-companions-aqa-psychology-a-level-research-methods-companion-complete-companions-fifth-edition-for-aqa-9780198356134","title":"The Complete Companions AQA Psychology A Level","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis 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.","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732695069015,"sku":"9780198356134","price":35.61,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198356134.jpg?v=1719997998"},{"product_id":"research-methods-for-the-biosciences-9780198728498","title":"Research Methods for the Biosciences","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eScientific research is a proven and powerful tool for discovering the answers to biological questions. As such, today''s students need to be well-versed in experimental design, analysis, and the communication of research. Furthermore, they must appreciate how all of these aspects are interlinked--how, for example, statistics can be used to inform the design of a particular experiment. As a resource which skillfully integrates all of the key aspects relating to biological research, Research Methods for the Biosciences is the perfect guide for undergraduates.The exceptionally clear layout takes students through choosing a project and planning their research; collecting, evaluating, and analyzing their data; and finally reporting their results. Research methods, which can often seem abstract, are brought to life through the use of examples taken from real undergraduate research. Friendly guidance and advice is provided throughout the text, and little prior knowledge or mathematical experience is required. Since statistics is a subject best learned through doing, frequent worked examples appear throughout Part Two ''Handling your data'', showing step-by-step how to carry out the various statistical tests. In addition, online software walkthroughs and video screencasts clearly demonstrate how to use software such as SPSS, Minitab, Excel and R to carry out statistical analyses.Online Resource CentreThe Online Resource Centre to accompany Research Methods for the Biosciences features:For students: New video screencasts showing how to carry out statistical tests using software Statistical software walkthroughs for SPSS, Excel, and Minitab Additional statistical tests not included in the main text Full details of calculations given in the in-text boxes  Interactive and printable decision tree, to help you design your experiment Interactive and printable risk assessment form Integrative exercises to help students test their understanding of the topics in the bookFor lecturers: A test bank of questions Figures from the book available to download\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePLANNING YOUR EXPERIMENT; HANDLING YOUR DATA; REPORTING YOUR RESULTS","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732772434263,"sku":"9780198728498","price":50.34,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198728498.jpg?v=1719998332"},{"product_id":"research-methods-in-the-social-sciences-an-az-of-key-concepts-9780198850298","title":"Research Methods in the Social Sciences An AZ of","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eResearch 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e0: 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 \u0026amp; 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","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732812476759,"sku":"9780198850298","price":31.36,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198850298.jpg?v=1719998504"},{"product_id":"presenting-scientific-data-in-r-9780198870470","title":"Presenting Scientific Data in R","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eWritten primarily for students embarking on an undergraduate bioscience degree, this primer provides an accessible, straightforward, and approachable guide to data presentation using R. It offers valuable and widely applicable advice on how to choose the most appropriate type of graph for different types of data, and guides readers from the basics of plotting clear figures to producing polished and effective visuals, illustrating the core concepts and features of excellent graphing. This primer uses simple and engaging biology-based example data sets to take readers from the essential aspects of basic plots to more advanced graphing techniques and details.Digital formats and resourcesThe book is available for students and institutions to purchase in a variety of formats, and is supported by online resources:- The e-book offers a mobile experience and convenient access along with functionality tools, navigation features, and links that offer extra learning support: www.oxfordtextbooks.co.uk\/ebooks- Online resources include extended supplementary resources to guide use of R, multiple choice questions for students to check their understanding, and, for registered adopters, figures and tables from the book","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732823912791,"sku":"9780198870470","price":24.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198870470.jpg?v=1719998560"},{"product_id":"investing-in-science-social-costbenefit-analysis-of-research-infrastructures-the-mit-press-9780262043199","title":"Investing in Science Social CostBenefit Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eA proposal for using cost-benefit analysis to evaluate the socioeconomic impact of public investment in large scientific projects.\u003c\/b\u003e\u003cp\u003eLarge particle accelerators, outer space probes, genomics platforms: all are scientific enterprises managed through the new form of the research infrastructure, in which communities of scientists collaborate across nations, universities, research institutions, and disciplines. Such large projects are often publicly funded, with no accepted way to measure the benefits to society of these investments. In this book, Massimo Florio suggests the use of cost-benefit analysis (CBA) to evaluate the socioeconomic impact of public investment in large and costly scientific projects.\u003c\/p\u003e\u003cp\u003eThe core concept of CBA of any infrastructure is to undertake the consistent intertemporal accounting of social welfare effects using the available information. Florio develops a simple framework for such accounting in the research infrastructure context and then offers a sy\u003c\/p\u003e","brand":"MIT Press Ltd","offers":[{"title":"Default Title","offer_id":48733451911511,"sku":"9780262043199","price":52.25,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780262043199.jpg?v=1720000130"},{"product_id":"mathematical-models-in-the-biosciences-ii-9780300253696","title":"Mathematical Models in the Biosciences II","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eVolume Two of an award-winning professor’s introduction to essential concepts of calculus and mathematical modeling for students in the biosciences\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e“Clear, enthusiastic, and communicating a love of maths, this is a useful, engaging and well-written text.”—Becca Asquith, Professor of Mathematical Immunology, Imperial College London\u003cbr\u003e\u003cbr\u003e\"This is a wonderful book, wise and witty. It would have taught me most of the math I needed for my career in research – \u003ci\u003eif\u003c\/i\u003e I did all the problems.\"—Stephen Stearns, author of \u003ci\u003eThe Evolution of Life Histories \u003c\/i\u003eand \u003ci\u003eEvolutionary Medicine\u003c\/i\u003e\u003cbr\u003e\u003cbr\u003e“This well-written book covers multivariate calculus and dynamical system\u003cb\u003es\u003c\/b\u003e within the context of the biological sciences, providing well-chosen, up-to-date biomedical examples. The Markov chain, along with its many interesting applications, is also introduced.”—Hongyu He, Professor of Mathematics, Louisiana State University\u003cbr\u003e  \u003cbr\u003e\u003cbr\u003e","brand":"Yale University Press","offers":[{"title":"Default Title","offer_id":48733516628311,"sku":"9780300253696","price":35.62,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780300253696.jpg?v=1720000391"},{"product_id":"standardsbased-and-responsive-evaluation-9780761926658","title":"StandardsBased and Responsive Evaluation","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eWe can be grateful that Dr. Stake decided to cap his distinguished career by sharing his ideas in writing. This is a book that evaluators will want to have in their personal library. It tells us a lot about our field, highlights contrasting ways of evaluating without pitting one against the other, and manages to remind us why many of us chose this line of work in the first place.\u003cbr\u003e--EVALUATION AND PROGRAM PLANNING\u003cbr\u003e\u003cbr\u003eAuthored by a master writer and evaluator, \u003cstrong\u003eStandards-Based and Responsive Evaluation\u003c\/strong\u003e explores the many conceptual choices an evaluator needs to make when doing an evaluation, devoting attention to stakeholders, weighing ethical risks, and writing a useful report. \u003c\/p\u003e\u003cp\u003eThe book\u003cb\u003e \u003c\/b\u003ebegins with the main strategic choices an evaluator needs to make between approaches: quantitatively,by explicating criteria, needs, standards, and performances, or qualitatively, by studying the activity, aspirations, problems, and accomplishments of the participants and critical observers. After reading the text, students will have a better appreciation of evaluation as a process that needs to be custom-fit to the situation. Throughout the book, Stake presents evaluation as a series of choices for the reader: \u003c\/p\u003e\u003cp\u003e- To remain independent or to join with program staff or stakeholders\u003cbr\u003e- To value personal experience as evidence or to shun it as biased\u003cbr\u003e- To aid development formatively or to assess the existing program summatively\u003cbr\u003e- To use issues, goals, gains, efficiency, or problem solving as the key conceptual structure\u003cbr\u003e- To invest small or large in trying out and validating data-gathering procedures\u003cbr\u003e- To support the standards and ethical codes of professional associations\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eStandards-Based and Responsive Evaluation\u003c\/strong\u003e will prove an essential text for program evaluation courses in education, nursing, social work, psychology, sociology, communication, and anthropology. Experienced researchers and professional evaluators will also find this an invaluable reference for a more experiential, interpretive approach to evaluation work and policy setting.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eKey Features\u003c\/b\u003e:\u003c\/p\u003e\u003cp\u003e- Provides readers with the tools they need to make choices while practicing evaluation\u003cbr\u003e- Employs quotations, poetry, and cartoons to help the reader experience the concepts of evaluation \u003cbr\u003e- Includes boxed examples from a variety of cases, giving readers the opportunity to compare an actual evaluation situation with one in which they may be engaged\u003cbr\u003e- Allows readers to access extensive examples of evaluation reports, coding excerpts, and more, through a complementary Web site appendix\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eWe can be grateful that Dr. Stake decided to cap his distinguished career by sharing his ideas in writing. This is a book that evaluators will want to have in their personal library. It tells us a lot about our field, highlights contrasting ways of evaluating without pitting one against the other, and manages to remind us why many of us chose this line of work in the first place. -- EVALUATION AND PROGRAM PLANNING\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eFirst Words 1. Criterial and Interpretive Evaluation    The Ubiquitous Search For Quality    Standards    Criterial and Episodic Thinking    Roles and Styles of Evaluation    Formative and Summative Evaluation    The Evaluand    The Evaluator 2. Roles, Models, and Dispositions    Models    Dispositions    Roles 3. Standards-Based Evaluation    Standards-Based    Bias    Factors    Criteria and Standards for Comparisons    Needs Assessment    Goals    Costs    Representations of Performance    What Goes Wrong 4. Responsive Evaluation    Issues as Conceptual Structure    Observations and Judgments    Perceptions    Combining Responsive and Standards-Based Evaluation    Experience as Knowledge    Organizing and Reporting    Procedures    What Goes Wrong 5. Data Gathering    Choosing Data Sources    Instrumentation    Recipient Responses    Staff and Management Responses    Stakeholder and Public Responses    Data Coding and Records Processing    Surveys    Observation Schedules    Interviewing    Histories and Artifacts 6. Analysis, Synthesis, and Meta-evaluation    Analysis    Synthesis    Experiential and Probative Inferences    Meta-evaluation    An Ethic of Continuous Self-Challenge 7.Clients, Stakeholders, Beneficiaries and Readers    Participatory Evaluation    Stakeholding    Utilization    Democratic Evaluation    Negotiation of a Contract    Writing Reports    Styles of Reporting    Representations of the Evaluand    Names and Labels    Cutting Edge    Offering Recommendations 8. Issues Needing Interpretation    Complexity    Program Standardization Program Fairness    Staff Development 9. Evidence-Based Evaluation    Is Evaluation Science?    Petite and Grand Generalizations    Policy Evaluation    Bias    Skepticism as a Commitment 10. Doing It Right    Quality Work Is Ethical Work    Personal Standards    Professional Standards    Human Subjects Protection    Confidentiality and Anonymity    The Business of Evaluation    Personnel Evaluation    Product Evaluation    Political and Cultural Contexts Last Words References Bibliography Index About the Author","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48737184383319,"sku":"9780761926658","price":103.55,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780761926658.jpg?v=1723811036"},{"product_id":"qualitative-inquiry-in-everyday-life-9780857024763","title":"Qualitative Inquiry in Everyday Life","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book is a 'survival guide' for students and researchers who would like to conduct a qualitative study with limited resources. Brinkmann shows how everyday life materials such as books, television, the internet, the media and everyday conversations and interactions can help us to understand larger social issues. \u003cp\u003e\u003c\/p\u003e\u003cp\u003eAs living human beings in cultural worlds, we are constantly surrounded by 'data' that call for analysis, and as we cope with the different situations and episodes of our lives, we are engaged in understanding and interpreting the world as a form of qualitative inquiry. The book helps its reader develop a disciplined and analytic awareness informed by theory, and shows how less can be more in qualitative research. Each chapter introduces theoretical tools to think with, and demonstrates how they can be put to use in working concretely with everyday life materials.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eBrinkmann′s text works out of the well-established tradition of everyday life studies and the critical narrative framework developed by Steinar Kvale. It is clearly written, it is accessible, it has good examples and it systematically works through the use and study of self-observations, conversations, media, cinema, and literature \u003cbr\u003e\u003cb\u003eNorman Denzin\u003cbr\u003eUniversity of Illinois, Urbana-Champaign\u003c\/b\u003e  \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eOverall, Brinkmann adds a welcome and informative contribution to the existing body of research methods literature. He presents and explains the varying theoretical and practical aspects of carrying out a relatively new and unexplored type of qualitative inquiry-everyday life research. Brinkmann’s arguments are clearly articulated, and where appropriate, often supplemented by commentary on his own personal research experiences, breakdowns of key terms and concepts, and practical exercises\/points for reflection. With the exception of a few areas, in which Brinkmann might have expanded the range of issues discussed (relating to ethics), or made some points clearer (on approaches involved in self-observation studies), this book could be considered very readable, accessible, and would make a useful point of reference for students, academics and researchers alike.\u003c\/p\u003e \u003cp\u003e \u003cbr\u003e\u003cb\u003eEmma Smith\u003cbr\u003eBook reviews, Methodspace\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003eThe book could be used interdisciplinary, in different scientific areas - by sociologists, psychologists, philosophers, experts in literature, even the ordinary reader who is interested in a more scientific approach to everyday life events and experiences.\u003c\/p\u003e \u003cp\u003e\u003cbr\u003e\u003cb\u003eStanislava Stoyanova\u003cbr\u003eMethodspace\u003c\/b\u003e \u003c\/p\u003e \u003cp\u003eBrinkmann immediately won my interest in his book with his less is more argument... In each chapter, he provides a deeply theoretical analysis of the source and methods of studying it, lightened by an extended illustrative example exploring some aspect of the new experience or expression of guilt and shame... Throughout this book, Brinkmann is drawing on his extensive knowledge of philosophical, psychological and literary sources to argue for and exemplify a style of research that draws on points of breakdown, when everyday expectations aren′t met. This book is not for the faint hearted... This is a book for the serious researcher, one from which, if you are prepared to put in the work to read, study, and apply, you will reap stimulating ideas and rich intellectual rewards.\u003c\/p\u003e \u003cp\u003e\u003cbr\u003e\u003cb\u003ePat Bazeley\u003cbr\u003eBooks Reviews, Methodspace\u003c\/b\u003e \u003c\/p\u003e\u003cbr\u003eBrinkmann successfully achieves ‘conceptual audacity’ in his text. It comes across as multilayered, rich in description, and analysis, while at the same time providing a valuable stock of qualitative theory, and useful examples. This is an inspiring textbook, which would be useful to novice and experienced qualitative researchers alike. -- Iona Tanguay\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction: Making Less More PART ONE Qualitative Research and Everyday Life The Epistemology of Working with Everyday Life Materials The Ethics of Working with Everyday Life Materials PART TWO Self Observation Conversations Media Materials Movies, Images and Television Books of Fiction Conclusions: On Quality","brand":"Sage Publications Ltd","offers":[{"title":"Default Title","offer_id":48737623802199,"sku":"9780857024763","price":44.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780857024763.jpg?v=1723811314"},{"product_id":"research-methods-and-design-in-psychology-9780857254696","title":"Research Methods and Design in Psychology","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis accessible introductory text addresses the core knowledge domain of research methods. It provides concise coverage of the central concepts, techniques, problems and debates in this key area, while encouraging a critical approach and developing students' higher level skills.  \u003cp\u003eActivities help readers build the underpinning generic critical thinking and transferable skills they need in order to become independent learners, and to meet the relevant requirements of their programme of study. \u003c\/p\u003e  \u003cp\u003eThe text provides core information on designing psychology research studies with key chapters on both quantitative and qualitative designs. Other chapters look at ethics, common problems, and advances and innovations.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction Designing Psychology Research Studies Ethics Levels of Measurement Experimental Designs Time Course Studies Correlational Designs Introducing Qualitative Design Qualitative Data Collection Qualitative Data Analysis Mixed Methods Common Problems Report Writing","brand":"Sage Publications Ltd","offers":[{"title":"Default Title","offer_id":48737654604119,"sku":"9780857254696","price":31.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780857254696.jpg?v=1723811351"},{"product_id":"applied-design-research-9781032209197","title":"Applied Design Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eDesign and research are two fields of knowledge that each has its traditions, methods, standards and practices. These two worlds appear to be quite separate, with researchers investigating what exists, and designers visualising what could be. This book builds a bridge between both worlds by showing how design and research can be integrated to develop a new field of knowledge. \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eApplied Design Research: A Mosaic of 22 Examples, Experiences and Interpretations Focussing on Bridging the Gap between Practice and Academics\u003c\/strong\u003e contains 22 inspiring reflections that demonstrate how the unique qualities of research (aimed at studying the present) and design (aimed at developing the future) can be combined. \u003c\/p\u003e\u003cp\u003eThis book shows that the transdisciplinary approach is applicable in a multitude of sectors, ranging from healthcare, urban planning, circular economy, and the food industry. Arranged in five parts, the book offers a range of illustrative examples,\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. The Future in Sight. 2. The Urge to Improve the World. 3. Designing and Researching Together with Others. 4. Building Bridges Between Disciplines. 5. The Challenge for Applied Design Research.\u003c\/p\u003e","brand":"Taylor \u0026 Francis Ltd","offers":[{"title":"Default Title","offer_id":48738039890263,"sku":"9781032209197","price":128.25,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781032209197.jpg?v=1723811702"},{"product_id":"an-r-companion-for-applied-statistics-i-9781071806319","title":"An R Companion for Applied Statistics I","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eAn R Companion for Applied Statistics I: Basic Bivariate Techniques\u003c\/strong\u003e breaks the language of the R software down into manageable chunks in order to help students learn how to use it. R is a powerful, flexible, and free tool. However, the flexibilitywhich eventually becomes a great assetcan make the initial learning curve appear steep. This book introduces a few key aspects of the R tool. As readers become comfortable with these aspects, they develop a foundation from which to more thoroughly explore R and the packages available for it. This introduction does not explain every possible way to analyze data or perform a specific type of analysis. Rather, it focuses on the analyses that are traditionally included in an undergraduate statistics course and provides one or two ways to run these analyses in R. Datasets and scripts to run the examples are provided on an accompanying website. The book has been designed to be an R companion to Warner's \u003cem\u003eApplied Statistics I, \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eRasco′s An R Companion to Applied Statistics I is an excellent companion to Warner′s seminal statistics text. If you′ve ever wanted to use R in place of commercial statistics, this is the book that will help you achieve that goal.\u003c\/p\u003e \u003cbr\u003e -- Jeffrey Savage\u003cbr\u003e\u003cp\u003eRasco′s text has taken the complexity out of using R for students who are learning the system. His engaging text gives step by step instructions with visuals. He thoroughly covers the relevance and assumptions of each statistical analysis.\u003c\/p\u003e \u003cbr\u003e -- Lina Racicot\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface Acknowledgments About the Author Chapter 1: Introduction: What is R?    Downloading R and RStudio    Creating a Project Folder    Getting Acquainted with the RStudio Environment    Appendix 1A: Preparing RStudio Project Folder Chapter 2: Basic Tasks in R    Coding in R: Object-Oriented Programming    Creating Data    Exporting Data    Importing Data    Converting Variables    Summary of Key Functions Chapter 3: Frequency Tables    Frequency Tables with Quantitative Variables    Appendix 3A: R Instructions to Accompany Warner (2020a) Chapter 4: Descriptive Statistics    Describing Central Tendency    Describing Variability    Appendix 4A: R Instructions to Accompany Warner (2020a)    Appendix 4B: Mode Function Chapter 5: Visualizing Data: Bar Charts, Histograms, and Boxplots    Visualizing Categorical Variables    Visualizing Quantitative Variables    Visualizing and Accounting for a Second Variable    Appendix 5A: R Instructions to Accompany Warner (2020a) Chapter 6: Evaluating Score Locations: Introducing the Normal Distribution and z Scores    Getting Familiar With New Data Frames and Variables    Cumulative Percentage    z Scores    Addressing Normality    Appendix 6A: R Instructions to Accompany Warner (2020a) Chapter 7: Sampling Error and Confidence Intervals    Monte Carlo Simulations    Confidence Intervals    Appendix 7A: R Instructions to Accompany Warner (2020a) Chapter 8: One-Sample t Test: Introduction to Statistical Significance Tests    Checking Assumptions    Performing One-Sample t Tests    Presenting Results    Considering Alternatives    Appendix 8A: R Instructions to Accompany Warner (2020a)    Appendix 8B: One-Sample z Test Chapter 9: Significance Tests Continued: Effect Size and Power    Estimating the Needed Sample Size    Estimating the Obtained Power Chapter 10: Bivariate Pearson Correlation    Checking Assumptions    Performing Pearson′s Bivariate Correlation    Considering Alternatives    Appendix 10A: R Instructions to Accompany Warner (2020a) Chapter 11: Bivariate Regression    Checking Assumptions    Performing Bivariate Regression    Appendix 11A: R Instructions to Accompany Warner (2020a) Chapter 12: Independent-Samples t Test    Checking Assumptions    Performing Independent-Samples t Tests    Presenting Results    Considering Alternatives    Appendix 12A: R Instructions to Accompany Warner (2020a)    Appendix 12B: Wilcoxon-Mann-Whitney U Test Chapter 13: One-Way Between-Subjects Analysis of Variance    Checking Assumptions    Performing One-Way Between-Subjects ANOVA Tests    Presenting Results    Considering Alternatives    Appendix 13A: R Instructions to Accompany Warner (2020a) Chapter 14: Paired-Samples t Test    Checking Assumptions    Performing Paired-Samples t Tests    Presenting Results    Considering Alternatives    Appendix 14A: R Instructions to Accompany Warner (2020a) Chapter 15: One-Way Repeated-Measures Analysis of Variance    Checking Assumptions    Performing One-Way Repeated-Measures ANOVA Tests    Presenting Results    Considering Alternatives    Appendix 15A: R Instructions to Accompany Warner (2020a) Chapter 16: Factorial Analysis of Variance    Checking Assumptions    Performing Two-Way Between-Subjects ANOVA Tests    Presenting Results    Considering Alternatives    Appendix 16A: R Instructions to Accompany Warner (2020a)    Appendix 16B: Converting Education Variable to Dichotomous Variable Chapter 17: Chi-Square (?2) Test of Independence    Checking Assumptions    Performing Chi-Square (?2) Tests of Independence    Presenting Results    Considering Alternatives    Appendix 17A: R Instructions to Accompany Warner (2020a) Chapter 18: Parting THoughts About R    Moving Forward    Continuing to Learn R References\u003c\/em\u003e\u003c\/p\u003e","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738195603799,"sku":"9781071806319","price":54.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071806319.jpg?v=1723811809"},{"product_id":"applied-statistics-i-international-student-edition-9781071807491","title":"Applied Statistics I  International Student","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003eApplied Statistics I:Basic Bivariate Techniques\u003c\/strong\u003e has been created from the first half of Rebecca M. Warner's popular \u003cem\u003eApplied Statistics: From Bivariate Through Multivariate Techniques\u003c\/em\u003e. The author's contemporary approach differs from some of the well-worn texts in the market, and reflects current thinking in the field. It spends less time on statistical significance testing, and moves in the direction of the new statistics by focusing more on confidence intervals and effect size. Instructors of upper undergraduate or beginning graduate level courses will find that the greater focus on basic concepts such as partition of variance and effect size is more useful to students, particularly as preparation for more advanced courses. Spending less time on statistical significance testing allows for more time to be devoted to more interesting and useful statistics that students will see in journal articles (such as correlation and regression). This introductory statistic\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Evaluating Numeric Information    Introduction    Guidelines for Numeracy    Source Credibility    Message Content    Evaluating Generalizability    Making Causal Claims    Quality Control Mechanisms in Science    Biases of Information Consumers    Ethical Issues in Data Collection and Analysis    Lying with Graphs and Statistics    Degrees of Belief    Summary 2. Basic Research Concepts    Introduction    Types of Variables    Independent and Dependent Variables    Typical Research Questions    Conditions for Causal Inference    Experimental Research Design    Non-experimental Research Design    Quasi- Experimental Designs    Other Issues in Design and Analysis    Choice of Statistical Analysis (Preview)    Populations and Samples: Ideal Versus Actual Situations    Common Problems in Interpretation of Results    Appendix 2 A: More About Levels of Measurement    Appendix 2 B: Justification for Use of Likert and Other Rating Scales as  Quantitative Variables (In Some Situations) 3. Frequency Distribution Tables    Introduction    Use of Frequency Tables for Data Screening    Frequency Tables for Categorical Variables    Elements of Frequency Tables    Using SPSS to Obtain a Frequency Table    Mode, Impossible Score Values, and Missing Values    Reporting Data Screening for Categorical Variables    Frequency Tables for Quantitative Variables    Frequency Tables for Categorical Versus Quantitative Variables    Reporting Data Screening for Quantitative Variables    What We Hope to See in Frequency Tables for Categorical Variables    What We Hope to See in Frequency Tables for Quantitative Variables    Summary    Appendix 3 A:  Getting Started in IBM SPSS ® version 25    Appendix 3 B: Missing Values in Frequency Tables    Appendix 3 C: Dividing Scores into Groups or Bins 4. Descriptive Statistics    Introduction    Questions about Quantitative Variables    Notation    Sample Median    Sample Mean (M)    An Important Characteristic of M: Sum of Deviations from M = 0    Disadvantage of M: It is Not Robust Against Influence of Extreme Scores    Behavior of Mean, Median and Mode in Common Real-World Situations    Choosing Among Mean, Median, and Mode    Using SPSS to Obtain Descriptive Statistics for a Quantitative Variable    Minimum, Maximum, and Range: Variation among Scores    The Sample Variance s2    Sample Standard Deviation (s or SD)    How a Standard Deviation Describes Variation Among Scores in a Frequency Table    Why Is There Variance?    Reports of Descriptive Statistics in Journal Articles    Additional Issues in Reporting Descriptive Statistics    Summary    Appendix 4 A  Order of Arithmetic Operations    Appendix 4 B  Rounding 5. Graphs: Bar Charts, Histograms, and Box Plots    Introduction    Pie Charts for Categorical Variables    Bar Charts for Frequencies of Categorical Variables    Good Practice for Construction of Bar Charts    Deceptive Bar Graphs    Histograms for Quantitative Variables    Obtaining a Histogram Using SPSS    Describing and Sketching Bell-Shaped Distributions    Good Practices in Setting up Histograms    Box Plot (Box and Whiskers Plot)    Telling Stories About Distributions    Uses of Graphs in Actual Research    Data Screening: Separate Bar Charts or Histograms for Groups    Use of Bar Charts to Represent Group Means    Other Examples    Summary 6. The Normal Distribution and z Scores    Introduction    Locations of Individual Scores in Normal Distributions    Standardized or “z” Scores    Converting z Scores Back into Original Units of X    Understanding Values of z    Qualitative Description of Normal Distribution Shape    More Precise Description of Normal Distribution Shape    Reading Tables of Areas for the Standard Normal Distribution    Dividing the Normal Distribution Into Three Regions: Lower Tail, Middle, Upper Tail    Outliers Relative to a Normal Distribution    Summary of First Part of Chapter    Why We Assess Distribution Shape    Departure from Normality: Skewness    Another Departure from Normality: Kurtosis    Overall Normality    Practical Recommendations    Reporting Information About Distribution Shape, Missing Values, Outliers, and Descriptive Statistics for Quantitative Variables    Summary    Appendix 6 A: The Mathematics of the Normal Distribution    Appendix 6 B: How to Select and Remove Outliers in SPSS    Appendix 6 C: Quantitative Assessments of Departure from Normality    Appendix 6 D: Why Are Some Real-World Variables Approximately Normally Distributed? 7. Sampling Error and Confidence Intervals    Descriptive Versus Inferential Uses of Statistics    Notations for Samples Versus Populations    Sampling Error and the Sampling Distribution for Values of M    Prediction Error    Sample Versus Population (Revisited)    The Central Limit Theorem: Characteristics of the Sampling Distribution of M    Factors that Influence Population Standard Error    Effect of N on Value of the Population Standard Error    Describing the Location of a Single Outcome for M Relative to a Population Sampling Distribution (Setting Up a z Ratio)    What We Do When ?? Is Unknown    The Family of t Distributions    Tables for t Distributions    Using Sampling Error to Set Up a Confidence Interval    How to Interpret a Confidence Interval    Empirical Example: Confidence Interval for Body Temperature    Other Applications for CIs    Error Bars in Graphs of Group Means    Summary 8. The One-Sample t test: Introduction to Statistical Significance Tests    Introduction    Significance Tests as Yes\/No Questions About Proposed Values of Population Means    Stating a Null Hypothesis    Selecting an Alternative Hypothesis    The One-Sample t Test    Choosing an Alpha (?) Level    Specifying Reject Regions Based on ?, Halt and df    Questions for the One-Sample t Test    Assumptions for the Use of the One-Sample t Test    Rules for the Use of NHST    First Example: Mean Driving Speed (Nondirectional Test)    SPSS Analysis: One Sample t Test for Mean Driving Speed    “Exact” p Values    Reporting Results for a Two-tailed One-Sample t Test    The Driving Speed Data Reconsidered Using a One-Tailed Test    Reporting Results for a One-tailed One-Sample t Test:    Advantages\/ Disadvantages of One Tailed Tests    Traditional NHST Versus New Statistics Recommendations    Things You Should Not Say About p Values    Summary 9. Issues in Significance Tests: Effect Size, Statistical Power, and Decision Errors    Beyond p Values    Cohen’s d: An Effect Size Index    Factors that Affect the Size of t Ratios    Statistical Significance Versus Practical Importance    Statistical Power    Type I and Type II Decision Errors    Meanings of “Error”    Use of NHST in Exploratory Versus Confirmatory Research    Inflated Risk of Type I Error From Multiple Tests Interpretation of Null Outcomes    Interpretation of Null Outcomes    Interpretation of Statistically Significant Outcomes    Understanding Past Research    Planning Future Research    Guidelines for Reporting Results    What You Cannot Say    Summary    Appendix 9 A Further Explanation of Statistical Power 10. Bivariate Pearson Correlation    Research Situations Where Pearson r Is Used    Correlation and Causal Inference    How Sign and Magnitude of r Describe an X, Y Relationship    Setting Up Scatter Plots With Examples of Perfect Linearity    Most Associations Are Not Perfect    Different Situations In Which r = 0    Assumptions for Use of Pearson r    Preliminary Data Screening for Pearson r    Effect of Extreme Bivariate Outliers    Research Example    Data Screening for Research Example    Computation of Pearson r    How Computation for Correlation Is Related to Pattern of Data Points in the Scatter Plot    Testing the Hypothesis That ?0 = 0    Reporting Many Correlations and Inflated Risk of Type I Error    Obtaining CIs for Correlations    Pearson’s r and r2 as Effect-Size Indexes and Partition of Variance    Statistical Power and Sample Size for Correlation Studies    Interpretation of Outcomes for Pearson’s r    SPSS Example    Results Sections for One and Several Pearson r Values    Reasons to Be Skeptical of Correlations    Summary    Appendix 10 A:  Nonparametric Alternatives to Pearson r    Appendix 10 B: Setting Up a 95% CI for Pearson r    Appendix 10 C:  Testing Significance of Differences Between Correlations    Appendix 10 D: Factors That Artifactually Influence the Magnitude of Pearson’s r    Appendix 10 E: Analysis of Non Linear Relationships 11. Bivariate Regression    Research Situations Where Bivariate Regression is Used    New Information Provided by Regression    Regression Equations and Lines    Two Versions of Regression Equations    Steps in Regression Analysis    Preliminary Data Screening    Formulas for Bivariate Regression Coefficients    Statistical Significance Tests for Bivariate Regression    Confidence Intervals for Regression Coefficients    Effect Size and Statistical Power    Empirical Example Using SPSS: Salary Data    SPSS Output: Salary Data    Plotting the Regression Line: Salary Data    Results Section: Salary Data    Using Regression Equation to Predict Score for Individual: Joe’s Hr Data    Partition of SS in Bivariate Regression: Joe’s Hr Data    Issues in Planning a Bivariate Regression Study    Plotting Residuals    Standard Error of the  Estimate, sy.x    Summary    Appendix 11 A OLS Derivation of Equation for Regression Coefficients    Appendix 11 B Fully Worked Example for SS values: Joe’s HR Data 12. The Independent Samples t Test    Research Situations Where the Independent Samples t Test is Used    Hypothetical Research Example    Assumptions for Use of the Independent Samples t Test    Preliminary Data Screening: Evaluating Violations of Assumptions and Getting to Know Your Data    Computation of Independent Samples t Test    Statistical Significance of Independent Samples t Test    Confidence Interval Around (M1 – M2)    SPSS Commands for Independent Samples t Test    SPSS Output for Independent Samples t Test    Effect-Size Indexes for t    Factors that Influence the Size of t    Results Section    Graphing Results: Means and CIs    Decisions About Sample Size for the Independent Samples t Test    Issues in Designing a Study    Summary    Appendix 12 A: A Nonparametric Alternative to the Independent Samples t Test 13. One-Way Between-S Analysis of Variance    Research Situations Where Between-S One-Way ANOVA is Used    Questions in One-Way Between S ANOVA    Hypothetical Research Example    Assumptions and Data Screening for One-Way ANOVA    Computations for One-Way Between-S ANOVA    Patterns of Scores and Magnitudes of SSbetween and SSwithin    Confidence Intervals (CIs) For Group Means    Effect Sizes for One-Way Between-S ANOVA    Statistical Power Analysis for One-Way Between-S ANOVA    Planned Contrasts    Post Hoc or “Protected” Tests    One Way Between S ANOVA  Procedure in SPSS    Output from SPSS for One Way Between S ANOVA    Reporting Results from One Way Between S ANOVA    Issues in Planning a Study    Summary    Appendix A ANOVA Model and Division of Scores Into Components    Appendix B Expected Value of F When H0 is True    Appendix C Comparison of ANOVA to t Test    Appendix D Nonparametric Alternative to One Way Between S ANOVA 14. Paired Samples t-Test    Independent Versus Paired Samples Designs    Between-S and Within-S or Paired Groups Designs    Types of Paired Samples    Hypothetical Study: Effects of Stress on Heart Rate    Review: Data Organization for Independent Samples    New: Data Organization for Paired Samples    A First Look at Repeated Measures Data    Calculation of Difference (d) Scores    Null Hypothesis for Paired Samples t Test    Assumptions for Paired Samples t Test    Formulas for Paired Samples t Test    SPSS Paired Samples t Test Procedure    Comparison of Results For Independent Samples t and Paired Samples t Tests    Effect Size and Power    Some Design Problems in Repeated Measures Designs    Results for Paired Samples t-Test: Stress and HR    Further Evaluation of Assumptions for Larger Dataset    Summary    Appendix A  Nonparametric Alternative to Paired Samples t: Wilcoxon Signed Rank Test 15. One Way Repeated Measures ANOVA    Introduction    Null Hypothesis for Repeated Measures ANOVA    Preliminary Assessment of Repeated Measures Data    Computations for One-Way Repeated Measures ANOVA    Use of SPSS Reliability Procedure for One Way Repeated Measures ANOVA    Partition of SS in Between-S Versus Within-S ANOVA    Assumptions for Repeated Measures ANOVA    Choices of Contrasts in GLM Repeated Measures    SPSS GLM Procedure for Repeated Measures ANOVA    Output for GLM Repeated Measures ANOVA    Paired Samples t Tests as Follow Up    Results    Effect Size    Statistical Power    Counterbalancing in Repeated Measures Studies    More Complex Designs    Summary    Appendix 15 A Test for Person by Treatment Interaction 16. Factorial Analysis of Variance (Between – S)    Research Situations Where Factorial Design Is Used    Questions in Factorial ANOVA    Null Hypotheses in Factorial ANOVA    Screening for Violations of Assumptions    Hypothetical Research Situation    Computations for Between-S Factorial ANOVA    Computation of SS,  df, and MS in Two Way Factorial    Effect Size Estimates for Factorial ANOVA    Statistical Power    Follow-Up Tests    Factorial ANOVA Using the SPSS GLM Procedure    SPSS Output    Results    Design Decisions and Magnitudes of SS Terms    Summary    Appendix 16 A: Unequal Cell ns in Factorial ANOVA    Appendix 16 B: Weighted Versus Unweighted Means    Appendix 16 C: Model for Factorial ANOVA    Appendix 16 D: Fixed Versus Random Factors 17. Chi Square Analysis of Contingency Tables    Evaluating Association Between Two Categorical Variables    First Example: Contingency Tables for Titanic Data    What is Contingency?    Conditional and Unconditional Probabilities    Null Hypothesis for Contingency Table Analysis    Second Empirical Example: Dog Ownership Data    Preliminary Examination of Dog Ownership Data    Expected Cell Frequencies If H0 True    Computation of Chi Squared Significance Test    Evaluation of Statistical Significance of ?2.    Effect Sizes for Chi Squared    Chi Squared Example Using SPSS    Output from Crosstabs Procedure    Reporting Results    Assumptions and Data Screening For Contingency Tables    Other Measures of Association for Contingency Tables    Summary    Appendix 17 A: Margin of Error For Percentages in Surveys    Appendix 17 B: Contingency Tables With Repeated Measures: McNemar Test    Appendix 17 C: Fisher Exact Test    Appendix 17 D: How Marginal Distributions for X and Y Constrain Maximum Value of ??    Appendix 17 E: Other Uses of ?2 18. Selection of Bivariate Analyses and Review of Key Concepts    Selecting Appropriate Bivariate Analyses    Types of Independent and Dependent Variables (Categorical Versus Quantitative)    Parametric Versus Nonparametric Analyses    Comparisons of Means or Medians Across Groups (Categorical IV and Quantitative DV)    Problems with Selective Reporting of Evidence and Analyses    Limitations of Statistical Significance Tests and p Values    Statistical Versus Practical Significance    Generalizability Issues    Causal Inference    Results Sections    Beyond Bivariate Analyses: Adding Variables    Some Multivariable or Multivariate Analyses    Degrees of Belief","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738195636567,"sku":"9781071807491","price":105.62,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071807491.jpg?v=1723811809"},{"product_id":"statistics-for-people-who-think-they-hate-statistics-international-student-edition-9781071808450","title":"Statistics for People Who Think They Hate","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis\u003cstrong\u003eFifth Edition\u003c\/strong\u003eof Neil J. Salkind's\u003cstrong\u003eStatistics for People Who (Think They) Hate Statistics: Using Microsoft Excel\u003c\/strong\u003e, presents an often intimidating and difficult subject in a way that is clear, informative, and personable. Opening with an introduction to Excel, including coverage of how to use functions and formulas, this edition shows students how to install the Excel Data Analysis Tools option to access a host of useful analytical techniques. New to the\u003cstrong\u003eFifth Edition\u003c\/strong\u003eis new co-author Bruce Frey who has added a new feature on statisticians throughout history (with a focus on the contributions of women and people of color). He has updated the Real-World Stats feature, and added more on effect sizes, updated the discussions on hypotheses, measurement concepts like validity and reliability, and has more closely tied analytical choices to the level of measurement of variables.","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738196980055,"sku":"9781071808450","price":104.96,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071808450.jpg?v=1723811810"},{"product_id":"an-r-companion-for-applied-statistics-ii-9781071815571","title":"An R Companion for Applied Statistics II","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003eAn R Companion for Applied Statistics II: Multivariable and Multivariate Techniques \u003c\/strong\u003ebreaks the language of the R software down into manageable chunks in order to help students learn how to use R to analyze multivariate data. The book focuses on the statistics generally covered in an intermediate or multivariate statistics course and provides one or two ways to run each analysis in R. The book has been designed to be an R companion to Rebecca M. Warner's \u003cem\u003eApplied Statistics II: Third Edition\u003c\/em\u003e, and includes end-of-chapter instructions for replicating the examples from that book in R. However, this text can also be used as a stand-alone R guide for a multivariate statistics course, without reference to the Warner text. Datasets and scripts to run the examples are provided on an accompanying website\u003cstrong\u003e\u003c\/strong\u003e. \u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface Acknowledgments About the Author CHAPTER 1 • Beyond Two Variables and Null Hypothesis Significance Testing    Confidence Intervals    Effect Size    Meta-Analysis    Chapter 1: Summary of Key Functions (AKA: Function Cheat Sheet) CHAPTER 2 • Advanced Data Screening, Outliers, and Missing Values    Data Management    Coding Missing Values    Screening Data    Chapter 2: Summary of Key Functions (AKA: Function Cheat Sheet) CHAPTER 3 • Statistical Control    Including a Third Variable in Graphs    Including a Third Variable Quantitatively    Chapter 3: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 3: R Instructions to Accompany Warner (2020b) CHAPTER 4 • Statistical Control With Regression Analysis    Visualizing Associations Between Three Variables    Performing Regressions and Semipartial Correlations    Chapter 4: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 4: R Instructions to Accompany Warner (2020b) CHAPTER 5 • Beyond Three Variables: Regression With Multiple Predictors    Standard Regression    User-Determined Regression    Data-Driven Regression    Chapter 5: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 5: R Instructions to Accompany Warner (2020b) CHAPTER 6 • Regression With Dummy Variables    One-Way Between-Subjects Analysis of Variance (ANOVA)    Regression With Dummy Variables    Regression With Quantitative and Dummy Variables    Chapter 6: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 6: R Instructions to Accompany Warner (2020b) CHAPTER 7 • Moderation    Interactions With Categorical Predictors    Interactions With a Categorical and Quantitative Predictor    Interactions With Two Quantitative Predictors    Interactions with a Categorical and Quantitative Predictor    Interactions with Two Quantitative Predictors    Chapter 7: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 7: R Instructions to Accompany Warner (2020b) CHAPTER 8 • Analysis of Covariance    Checking Assumptions    Performing ANCOVA    Presenting Results    Chapter 8: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 8: R Instructions to Accompany Warner (2020b) CHAPTER 9 • Mediation    Checking Assumptions    Performing Mediation Analysis    Presenting Results    Chapter 9: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 9: R Instructions to Accompany Warner (2020b) CHAPTER 10 • Discriminant Analysis    Checking Assumptions    Performing Discriminant Analysis    Presenting Results    Chapter 10: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 10: R Instructions to Accompany Warner (2020b) CHAPTER 11 • Multivariate Analysis of Variance    Checking Assumptions    Performing Multivariate Analysis of Variance    Performing Factorial Multivariate Analysis of Variance    Chapter 11: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 11: R Instructions to Accompany Warner (2020b) CHAPTER 12 • Exploratory Factor Analysis    Performing Principal Components Analysis    Performing Principal Axis Factor Analysis    Chapter 12: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 12: R Instructions to Accompany Warner (2020b) CHAPTER 13 • Reliability and Validity for Multiple-Item Scales    Test-Retest Reliability    Factor Analysis    Internal Reliability and Creating Scale Scores    Chapter 13: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 13: R Instructions to Accompany Warner (2020b) CHAPTER 14 • Repeated-Measures Tests: Further Exploration    Checking Assumptions    One-Way Repeated-Measures Analysis of Variance    Mixed Analysis of Variance    Chapter 14: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 14: R Instructions to Accompany Warner (2020b) CHAPTER 15 • Brief Introduction to Latent-Variable Structural Equation Modeling    Measurement Models    Mediation With Latent-Variable Structural Equation Modeling    Chapter 15: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 15: R Instructions to Accompany Warner (2020b) CHAPTER 16 • Binary Logistic Regression    Getting Familiar With the Data    Binary Logistic Regression    Presenting Results    Chapter 16: Summary of Key Functions (AKA: Function Cheat Sheet)    Appendix 16: R Instructions to Accompany Warner (2020b) CHAPTER 17 • Additional Statistical Techniques    Dealing With Time    Dealing With Odd Distributions    Dealing With Interdependence    Concluding Thoughts References","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738200518999,"sku":"9781071815571","price":54.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071815571.jpg?v=1723811811"},{"product_id":"10-steps-to-creating-an-infographic-9781071817308","title":"10 Steps to Creating an Infographic","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book provides step-by-step guidance for developing high-quality infographics. Practical in its approach, \u003cstrong\u003e10 Steps to Creating an Infographic: A Practical Guide for Non-designers\u003c\/strong\u003e outlines a user-friendly process for developing infographics with a clearly defined purpose and powerful message. The book's how-to approach makes infographic creation accessible for anyone who doesn't have a background in graphic design or a budget for a graphic designer. Author Stephanie B. Wilkerson breaks down the complex task into a series of steps and models each step through a book-long example of the evolution of an infographic. Through this, and other examples presented throughout the book, readers will learn about infographic best practices and tips, as well guidance for avoiding design pitfalls. \u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eA must have guide to understanding and applying infographics to research and evaluation findings. -- Marisa Beeble\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart 1: Crafting a Powerful Message Chapter 1 - Step 1: Identify Your Audience (“the Who”) Chapter 2 - Step 2: Clarify the Purpose (“the Why”) Chapter 3 - Step 3: Create the Story (“the What”) Part 2: Designing a Visual Story Chapter 4 - Step 4: Identify Visuals and Data Chapter 5 - Step 5: Select a Layout Chapter 6 - Step 6: Choose Design Elements Chapter 7 - Step 7: Sketch Your Ideas Part 3: Bringing the Infographic to Life Chapter 8 - Step 8: Draft the Infographic Chapter 9 - Step 9: Review the Infographic Chapter 10 - Step 10: Revise, Finalize, and Share","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738201207127,"sku":"9781071817308","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071817308.jpg?v=1723811813"},{"product_id":"crafting-qualitative-research-questions-9781071819135","title":"Crafting Qualitative Research Questions","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThe essence of research design is the ability to articulate your research question. The research question is the precursor to the study, and a well-crafted question encapsulates all of the design elements for that study. Based on more than 20 years of conducting research, collaborating with colleagues to formulate research projects, and experience advising doctoral students, author Dr. Elizabeth (Betsy) A. Baker forged a research design heuristic which she introduces in this book. She starts by dissecting the anatomy of a qualitative research question, outlines the role of paradigms in research design, describes strategies to use the anatomy as a design heuristic, and provides sample cases that track the decisions two researchers made while formulating a qualitative question. The book concludes with advice on how to move from the research question to the proposal. 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Creswell provides a brief and practical introduction to mixed methods. Many graduate students and researchers in the social, behavioral and health sciences may not have the time or resources to read long treatises or stacks of journal articles on mixed methods research. This text quickly describes the basics of setting up and conducting a study using this methodology. Chapters are short and follow the process of research, from ensuring skills for conducting research, acknowledging the steps in planning a study, designing studies with increasing complexity, planning sampling strategies and integration, and writing up the results of your study. 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You can bundle the print + eBook version with bundle ISBN: 978-1-0719-2874-5.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"This is a great book, and they have done a great job evolving the contents through all these years. We are deeply indebted to the authors, whose knowledge and experience has enriched the field of research.\" -- Masoud Ghaffari\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction: The Discipline and Practice of Qualitative Research - Norman K. Denzin, Yvonna S. Lincoln, Michael D. Giardina, and Gaile S. Cannella Part I: Locating the Field A History of Qualitative Inquiry in Social and Educational Research - Frederick Erickson Ethics, Research Regulations, and Critical Qualitative Science - Gaile S. Cannella and Yvonna S. Lincoln Paradigmatic Controversies, Contradictions, and Emerging Confluences, Revisited - Yvonna S. Lincoln, Susan A. Lynham, and Egon G. Guba Part II: Philosophies of Inquiry Feminist Inquiry - Bronwyn Davies Critical Race Theory and the Postracial Imaginary - Jamel K. Donnor and Gloria Ladson-Billings Intersectionality Methodology: A Qualitative Research Imperative for Black Women’s Lives - Chayla Haynes, Saran Stewart, and Lori D. Patton Queer\/Quare Theory: Worldmaking and Methodologies (Revisited) - Bryant Keith Alexander Critical Disability Studies and Diverse Bodyminds in Qualitative Inquiry - Emily A. Nusbaum \u0026amp; Jessica Nina Lester Critical Post-Intentional Phenomenological Inquiry (crit-PIP): Why it Matters and What it Can Do - Mark D. Vagle, Keitha-Gail Martin-Kerr, Jana LoBello Miller, Bisola Wald, \u0026amp; Hazen Fairbanks Why We Do Indigenous Methodologies: Contemplations On Indigenous Protocol, Theory and Method - Sweeney Windchief, Timothy San Pedro, and Margaret Kovach Postcolonial and Decolonized Knowing: Speaking “Nearby”: A Letter to Rekha - Devika Chawla Poststructural Engagements - Aaron M. Kuntz Agential Realism, Intra-Action, and Diffractive Methodology - Serge F. Hein Part III: Practices of Inquiry Examining the ‘inside lives’ of research interviews - Kathryn Roulston Observation in a Surveilled World - Jack Bratich Ethnographic Futures: Embodied, Diffractive, and Decolonizing Approaches - Michael D. Giardina and Michele K. Donnelly Critical Situational Analysis after the Interpretive Turn - Adele E. Clarke, Carrie Friese \u0026amp; Rachel Washburn Thematic Analysis - Virginia Braun and Victoria Clarke Qualitative Social Media Methods: Netnography in the Age of Technocultures - Robert V. Kozinets and Ulrike Gretzel Autoethnography as Becoming-with - Tony E. Adams and Stacy Holman Jones Performance Shapes for Qualitative Inquiry - Johnny Saldaña The Arts as Research: Nomadic Materiality and Possible Futures - Richard Siegesmund Communicative Methodology: Working Together with the Roma Community for Improving Their Lives - Aitor Gómez Gonzalez Betweener Autoethnographies: Collaborative Inquiry from the Borderlands - Claudio Moreira and Marcelo Diversi Part IV: The Politics of Evidence, Science, and Knowledge Qualitative Inquiry and Public Health Science: Case Studies from the COVID-19 Pandemic - Trisha Greenhalgh and Ama de-Graft Aikins Science, evidence and the development of policy and practice: Can Qualitative Research Make a Different Contribution? - Harry Torrance Co-production and Impact: Challenges and Opportunities - Brett Smith and Kerry R. McGannon The Elephant in the Living Room, or, Extending the Conversation about the Politics of Evidence, Part 2 - Norman K. Denzin Backsliding Toward Illiberal Democracy \u0026amp; Authoritarianism: Qualitative Inquiry, Academic Freedom, and Technologies of Governance - Marc Spooner Part V: Into the Future Academic Survival: Qualitative Researchers in the Neoliberal Academy - Julianne Cheek Publishing and Reviewing Qualitative Research - Mitchell Allen Qualitative Inquiry and Posthuman Futures: Justice and Challenging the Human\/Nonhuman Life Dichotomy - Mirka Koro and Gaile S. Cannella The Future of Qualitative Research - Norman K. Denzin, Yvonna S. Lincoln, Michael D. Giardina, and Gaile S. Cannella","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738211496279,"sku":"9781071836743","price":114.95,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071836743.jpg?v=1723811823"},{"product_id":"exploring-rating-scale-functioning-for-survey-research-9781071855379","title":"Exploring Rating Scale Functioning for Survey","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eItems with ordered response categories are common in survey research, such as when respondents are asked how much they agree with certain statements. But how large are the differences between categories of response, and how well do they distinguish between respondents? 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I appreciate that the author makes the data and all software scripts available. -- Yi-Hsin Chen\u003cbr\u003eThis book includes much good content will help students and researchers with their survey research, along with some great examples. -- Jingshun Zhang\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1: What is Rating Scale Analysis? Chapter 2: Rasch Models for Rating Scale Analysis Chapter 3: Illustration of Rating Scale Analysis with Polytomous Rasch Models Chapter 4: Non-Rasch IRT Models for Rating Scale Analysis Chapter 5: Nonparametric Measurement Models for Rating Scale Analysis Chapter 6: Summary and Resources for Further Study","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738213691735,"sku":"9781071855379","price":33.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071855379.jpg?v=1723811824"},{"product_id":"the-practice-of-research-in-criminology-and-criminal-justice-9781071857793","title":"The Practice of Research in Criminology and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003eThe Practice of Research in Criminology and Criminal Justice, Eighth Edition\u003c\/strong\u003e continues to demonstrate the vital role research plays in criminal justice by integrating in-depth, real-world case studies with a comprehensive discussion of research methods. By pairing research techniques with practical examples from the field, Ronet D. Bachman and Russell K. Schutt equip students to critically evaluate and confidently conduct research.\u003cbr\u003e  \u003cbr\u003e  The \u003cstrong\u003eEighth Edition\u003c\/strong\u003e of this best-selling text covers new methods, such as visual criminology and photo voice, and expanded chapters with new sections on the importance of making sure samples, measurements, and methods are inclusive and sensitive to the diverse nature of our society. The authors refer to contemporary examples throughout, such as the increase in the use of social media, the continuing impact of the COVID-19 pandemic, mass participation in social movements including Black Lives Matter, increasing hate crimes across the globe, and increasing incidents of mass shootings in the U.S.\u003cbr\u003e  \u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1: Science, Society, and Research Chapter 2: The Process and Problems of Research Chapter 3: Ethical Guidelines for Research Chapter 4: Conceptualization and Measurement Chapter 5: Sampling Chapter 6: Causation and Research Design Chapter 7: Experimental Designs Chapter 8: Survey Research Chapter 9: Qualitative Methods: Observing, Participating, and Listening Chapter 10: Analyzing Content: Research Using Secondary, Historical, and Comparative Data, Content Analysis, and Visual Criminology Chapter 11: Social Network Analysis Crime Mapping, and Big Data Chapter 12: Evaluation and Policy Analysis Chapter 13: Mixing and Comparing Methods Chapter 14: Analyzing Quantitative Data Chapter 15: Analyzing Qualitative Data Chapter 16: Summarizing and Reporting Research","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738214609239,"sku":"9781071857793","price":144.4,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071857793.jpg?v=1723811826"},{"product_id":"python-data-science-handbook-9781098121228","title":"Python Data Science Handbook","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eWorking scientists and data crunchers familiar with reading and writing Python code will find the second edition of this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models.","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":48738221654359,"sku":"9781098121228","price":47.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781098121228.jpg?v=1723811833"},{"product_id":"the-fundamentals-of-social-research-9781107569164","title":"The Fundamentals of Social Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis textbook provides an introduction to the scientific study of sociology and other social sciences. It offers the basic tools necessary for readers to become both critical consumers and beginning producers of scientific research on society. The authors present an integrated approach to research design and empirical analyses in which researchers can develop and test causal theories. They use examples from social science research that students will find engaging and inspiring and that will help them to understand key concepts. The book makes technical materials accessible to students who might otherwise be intimidated by mathematical examples. This new text, with the addition of sociologist Steven A. Tuch to the author team, follows the successful format, approach, and pedagogical features in Paul M. Kellstedt and Guy D. Whitten''s bestselling text, The Fundamentals of Political Science Research, now in its third edition. Workbooks in Stata, SPSS, and R, three of the most popular stat\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'Kellstedt, Whitten, and Tuch provide an accessible, sophisticated text. With well-chosen examples, they show why a full understanding of research design, theory construction, and causal inference is essential for effective use of our modern toolkit of data analysis techniques.' Stephen L. Morgan, Johns Hopkins University\u003cbr\u003e'A comprehensive and well-written introduction to the techniques and logic of social research. The logic and application of a wide range of methodological techniques are explained eloquently and clearly, and the examples used cut across social science disciplines. This book should be widely used in methods courses across the social sciences.' George Wilson, University of Miami\u003cbr\u003e'This valuable textbook is unique for two reasons: first, it seamlessly integrates theory, research design, and data analysis, providing students with the foundation required to develop empirically grounded research projects that can make theoretical progress in social science. Second, it is accessible and engaging, drawing students in and showing them how stimulating and exciting social research can be.' Michael Hughes, Virginia Tech\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eList of Figures; List of Tables; Preface; Acknowledgments; 1. The Scientific Study of Society; 2. The Art of Theory Building; 3. Evaluating Causal Relationships; 4. Research Design; 5. Survey Research; 6. Measuring Concepts of Interest; 7. Getting to Know Your Data; 8. Probability and Statistical Inference; 9. Bivariate Hypothesis Testing; 10. Two-Variable Regression Models; 11. Multiple Regression; 12. Putting it all Together to Produce Effective Research; Appendix A. Critical Values of Chi-square; Appendix B. Critical Values of t; Appendix C. The Λ Link Function for Binomial Logit Models; Appendix D. The Φ Link Function for Binomial Probit Models; References; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738254553431,"sku":"9781107569164","price":42.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781107569164.jpg?v=1723811864"},{"product_id":"computational-approaches-to-the-network-science-of-teams-9781108498548","title":"Computational Approaches to the Network Science","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eBusiness operations in large organizations today involve massive, interactive, and layered networks of teams and personnel collaborating across hierarchies and countries on complex tasks. To optimize productivity, businesses need to know: what communication patterns do high-performing teams have in common? Is it possible to predict a team''s performance before it starts work on a project? How can productive team behavior be fostered? This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in the emerging field of network science of teams. Focusing on the underlying social network structure, the authors present models and algorithms characterizing, predicting, optimizing, and explaining team performance, along with key applications, open challenges, and future trends.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'This is a timely book for team science, with a unique perspective that uses computational approaches to study the network effect on team performance. The book has a nice balance of theory, algorithms, and empirical studies. The authors possess years of experience in the field.' Charu Aggarwal, IBM Research AI\u003cbr\u003e'A comprehensive study that pushes forward our understanding of and ability to forecast and design team performance - a critical, yet complex human-subject phenomenon to which this book brings in-depth technical rigor.' Leman Akoglu, Carnegie Mellon University\u003cbr\u003e'This pioneering book is essential to technologists, data scientists, and researchers alike, offering a modern, computational approach to the science of teaming and how to manage the convergence of people, information, and technology in networked organizations.' Norbou Buchler, US Army Data and Analysis Center\u003cbr\u003e'Li and Tong have provided a thorough and insightful exploration of current research on teams in networks, linking computational techniques with results from the social sciences. A pleasure to read.' Sucheta Soundarajan, Syracuse University\u003cbr\u003e'This brief volume is a valuable resource for managers, but managers with a strong background in data science, and for other technologists involved in designing systems that support user interactions … The added value of this book is provided by the mathematical formalisms used, which encode characteristics of the computational challenges discussed … The topical focus results in a unique volume that might lead interested readers to discover new research avenues … Recommended' J. Brzezinski, Choice\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction; 2. Team performance characterization; 3. Team performance prediction; 4. Team performance optimization; 5. Team performance explanation; 6. Human agent teaming; 7. Conclusion and future work.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738315829591,"sku":"9781108498548","price":41.79,"currency_code":"GBP","in_stock":true}]},{"product_id":"introduction-to-adaptive-trial-designs-and-master-protocols-9781108926980","title":"Introduction to Adaptive Trial Designs and Master","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe first introductory guide to the fast-paced and emerging field of research, equipping readers with the knowledge to critically interpret and plan adaptive clinical trials and master protocols. An invaluable text for medical students and researchers, featuring a history of clinical trial research, case studies and a practical guide.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'A delightful, easy-to-read and must-have primer for anyone offering a course on basic concepts, ingredients, attributes, and different types of, including common misconceptions and practical considerations for, adaptive clinical trials and master protocols.' Lehana Thabane, Professor, Department of Health Research Methods, Evidence, and Impact, McMaster University, Canada\u003cbr\u003e'This book fulfils an important need, providing a broad overview of recent work in innovative approaches to clinical trials. It covers two major types of innovative trial design that are becoming more widespread in clinical research: adaptive designs and master protocols. For readers who wish to delve into more depth, it provides a thorough review of literature on the topic. It also showcases available software, both commercial and free, and provides many real case studies of where the designs have been used in real trials. The book is written by three experts in the field who understand well the benefits and limitations of these approaches. It is relevant to those who work in academic trials as well as the pharmaceutical industry. I would highly recommend it as a great resource for clinical trialists who want to understand these approaches better.' James Wason, Professor of Biostatistics, Newcastle University\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eAbout the Author; Preface; Part I. History and Introduction to Clinical Trial Research: 1. Introduction to Clinical Trial Research; 2. History of Clinical Trial Research. Part II. Basic Ingredients for Adaptive Trial Designs and Common Types: 3. Characteristics and Principles of Adaptive Trial Designs; 4. Common Types of Adaptive Trial Designs; 5. Clinical Trial Simulations; Part III. Basic Ingredients for Master Protocols: 6. Characteristics and Principles of Master Protocols; 7. Platform Trials; 8. Basket and Umbrella Trials; Part IV. Case Studies of Adaptive Trial Designs and Master Protocols; 9. Case Studies of Adaptive Trial Designs; 10. Case Studies of Platform Trials; 11. Case Studies of Basket and Umbrella Trials; 12. Standards and Guidelines for Adaptive Trial Designs and Master Protocols; Part V. A Practical Guide to Adaptive Trial Designs and Master Protocols: 13. Common Misconceptions of Adaptive Trial Designs and Master Protocols; 14. Practical Considerations for Adaptive Trial Designs and Master Protocols.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738345484631,"sku":"9781108926980","price":29.99,"currency_code":"GBP","in_stock":true}]},{"product_id":"the-economists-craft-9780691216492","title":"The Economists Craft","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"\u003cp\u003eMr. Weisbach shows how to understand economics in a way that’s entertaining for anyone who has ever been a student, or simply likes to read, write or talk economics. It is aimed at economics professors, and appears to give the inside scoop on teaching. In reality, anyone with a bit of curiosity is enticed to look at how it’s done.\u003c\/p\u003e\"\u003cb\u003e---John B. Taylor, \u003ci\u003eWall Street Journal\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\"\u003ci\u003eThe Economist's Craft\u003c\/i\u003e is indeed a value addition and can serve as a guideline . . . to develop a unique position within the academic society.\"\u003cb\u003e---Satya Sahoo, \u003ci\u003eWMU Journal of Maritime Affairs\u003c\/i\u003e\u003c\/b\u003e","brand":"Princeton University Press","offers":[{"title":"Default Title","offer_id":48738414788951,"sku":"9780691216492","price":59.5,"currency_code":"GBP","in_stock":true}]},{"product_id":"the-psychologists-companion-9781316505182","title":"The Psychologists Companion","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe Psychologist''s Companion, 6th edition is written for students, young professionals, and even mid-career scholars. It is the most comprehensive guide available to both written and oral communication processes for academic psychologists. It covers the topics necessary for career success, including planning papers, writing papers, presenting data, evaluating one''s papers, writing grant proposals, giving talks, finding a book publisher, doing job interviews, and doing media interviews. Because the book is in its sixth edition, it is market tested for success in reaching and engaging its readers. Two special (new) pedagogical features are ''Experience is the best teacher'', which draws on the authors'' personal experiences to help make the book more personalized and exciting to readers, and ''What''s wrong here'', which gives readers an opportunity for active learning while they read the book. The authors have written the book in a personable and often humorous style that will keep re\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'The newest edition of The Psychologist's Companion is an engaging, accessible and helpful text filled with useful and practical advice for psychologists at all stages of their career. The authors have created a text that will no doubt continue to be an essential resource for students and early-career psychologists amongst others.' Bryan McCann, The Psychologist\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface; Introduction; Part I. Macro-Challenges in Writing Papers: Planning and Formulating Papers: 1. Eight common misconceptions about psychology papers; 2. How to generate, evaluate, and sell your ideas for research and papers; 3. Literature research; 4. Writing a literature review; 5. Planning and writing the experimental research paper; 6. Ethics in research and writing; Part II. Micro-Challenges in Writing Papers: Presenting Your Ideas in Writing: 7. A word about content, language, and style; 8. Commonly misused words; 9. American Psychological Association guidelines for psychology papers; 10. Guidelines for data presentation; Part III. Writing and Preparing Papers for Journal Submission: 11. Article writing; 12. How to make your paper even better: proofreading, revising, and editing; 13. Critical checklist before submitting an article for publication; 14. Deciding on a journal and submitting a paper to a journal; Part IV. Presenting Yourself to Others: 15. Preparing a poster presentation; 16. Writing a grant or contract proposal; 17. How to find a book publisher; 18. Writing a lecture; 19. Doing a job interview; 20. Doing media interviews; Epilogue; References.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738558378327,"sku":"9781316505182","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"inferential-network-analysis-9781316610855","title":"Inferential Network Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis unique textbook provides an introduction to statistical inference with network data. The authors present a self-contained derivation and mathematical formulation of methods, review examples, and real-world applications, as well as provide data and code in the R environment that can be customised. Inferential network analysis transcends fields, and examples from across the social sciences are discussed (from management to electoral politics), which can be adapted and applied to a panorama of research. From scholars to undergraduates, spanning the social, mathematical, computational and physical sciences, readers will be introduced to inferential network models and their extensions. The exponential random graph model and latent space network model are paid particular attention and, fundamentally, the reader is given the tools to independently conduct their own analyses.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'The family of exponential random graph models have advanced with a number of extensions in recent years, many of them developed by the present authors. Encapsulating these advances with other methods of inferential analysis in a single reference that combines essential theory with hands-on examples makes this book a must-have for network modeling practitioners who want to use these powerful tools.' Peter Mucha, UNC Chapel Hill\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart I. Dependence and Interdependence: 1. Promises and Pitfalls of Inferential Network Analysis; 2. Detecting and Adjusting for Network Dependencies; Part II. The Family of Exponential Random Graph Models (ERGMs): 3. The Basic ERGM; 4. ERGM Specification; 5. Estimation and Degeneracy; 6. ERG Type Models for Longitudinally Observed Networks; 7. Valued-Edge ERGMs: The Generalized ERGM (GERGM); Part III. Latent Space Network Models: 8. The Basic Latent Space Model; 9. Identification, Estimation and Interpretation of the Latent Space Model; 10. Extending the Latent Space Model.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738564079959,"sku":"9781316610855","price":43.69,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781316610855.jpg?v=1720049482"},{"product_id":"practicebased-design-research-9781350080409","title":"Practicebased Design Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003ci\u003ePractice-Based Design Research\u003c\/i\u003e provides a companion to masters and PhD programs in design research through practice.  The contributors address a range of models and approaches to practice-based research, consider relationships between industry and academia, researchers and designers, discuss initiatives to support students and faculty during the research process, and explore how students'' experiences of undertaking practice-based research has impacted their future design and research practice. The text is illustrated throughout with case study examples by authors who have set up, taught or undertaken practice-based design research, in a range of national and institutional contexts.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis unique collection offers profound insights, exemplary cases and practical guidance for practice-based design research as it expands worldwide. A major contribution to the field, this book is essential for supervisors, researchers, teachers and students of doctoral education in design. * Ramia Mazé, Professor of Design at Aalto University, Finland *\u003cbr\u003eDesign has an increasingly important role to play in material, social, economic, and technological change and design research needs to change accordingly. This book describes the theory and the practice of practice-based design research and is an exciting and timely contribution to the field. I think it will become an essential reference point not only for future practice-based design researchers, but for all design researchers. * Peter Lloyd, Professor of Design at the University of Brighton and Vice Chair of the Design Research Society, UK *\u003cbr\u003e\u003ci\u003ePractice Based Design Research \u003c\/i\u003ebravely challenges conventional forms doctoral scholarship through the specular agency of the design disciplines. It is an essential resource – both diverse and critical – for reconceptualising the knowledge economy, not just in design but as design. * Stephen Loo, Professor of Architecture at the University of Tasmania, Australia *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introducing Practice Based Design Research \u003ci\u003eLaurene Vaughan\u003c\/i\u003e   \u003cb\u003ePart 1: Exploring Different Models and Approaches to Doctoral Education in Design\u003c\/b\u003e 2. Designer\/Practitioner\/Researcher \u003ci\u003eLaurene Vaughan\u003c\/i\u003e 3. Locating New Knowledge in an Unacknowledged Discourse \u003ci\u003eBonne Zabolotney\u003c\/i\u003e 4. Post-Normal Design Research: The Role of Practice-based Research in the Era of Neoliberal Risk \u003ci\u003eCameron Tonkinwise\u003c\/i\u003e   \u003cb\u003ePart 2: Socio-cultural Impacts of the Design PhD in Practice \u003c\/b\u003e 5. Designing the PhD curriculum in the design disciplines \u003ci\u003eHenry Mainsah, Andrew Morrison, Jonny Aspen and Cheryl E. Ball\u003c\/i\u003e 6. Doctoral Training for Practitioners: ADAPTr (Architecture, Design and Art Practice research) a European Commission Marie Curie Initial Training Network \u003ci\u003eRichard Blythe and Marcello Stamm\u003c\/i\u003e\u003ci\u003e?\u003c\/i\u003e 7. Knowledge Exchange through the Design PhD \u003ci\u003eBen Dalton, Tom Simmons and Teal Triggs\u003c\/i\u003e\u003ci\u003e?\u003c\/i\u003e 8. Educating the Reflective Design Researcher  \u003ci\u003ePelle Ehn and Peter Ullmark\u003c\/i\u003e\u003ci\u003e?\u003c\/i\u003e 9. Building theory through design  \u003ci\u003eThomas Markussen\u003c\/i\u003e   \u003cb\u003ePart 3: Structures for Supporting Design Phd Programs \u003c\/b\u003e 10. Design (research) practice \u003ci\u003eThomas Binder and Eva Brandt\u003c\/i\u003e 11. Embracing the literacies of design as means and mode of dissemination \u003ci\u003eLaurene Vaughan\u003c\/i\u003e 12. Ten green bottles: Reflecting on the exegesis in the thesis by compilation model  \u003ci\u003eAndrew Morrison\u003c\/i\u003e   \u003cb\u003ePart 4: Graduate Reflections on the Design Phd in Practice \u003c\/b\u003e 13. When Words Won’t Do: Resisting the impoverishment of knowledge  \u003ci\u003ePia Ednie\u003c\/i\u003e\u003ci\u003e-\u003c\/i\u003e\u003ci\u003eBrown\u003c\/i\u003e 14. Before, during and after a PhD: Curating as a generative and collaborative process of infrastructuring \u003ci\u003eKatherine Moline\u003c\/i\u003e\u003ci\u003e?\u003c\/i\u003e 15. The researcherly designer\/the designerly researcher \u003ci\u003eJoyce Yee\u003c\/i\u003e 16. Make Happen: Sense-making the affordances of a practice-based Phd in design \u003ci\u003eLisa Grocott\u003c\/i\u003e 16. From Paratexts to Primary Texts: Shifting from a commercial to a research focused design practice \u003ci\u003eZoë Sadokierski\u003c\/i\u003e 17. From practice to practice-led research: Challenges and rewards \u003ci\u003eNeal Haslem\u003c\/i\u003e 18. Grokking the Swamp: Adventures in the Practical Abyss, and Back Again \u003ci\u003eJeremy Yuille\u003c\/i\u003e","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738585968983,"sku":"9781350080409","price":27.54,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781350080409.jpg?v=1720049560"},{"product_id":"the-dress-detective-9781350087774","title":"The Dress Detective","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eThe Dress Detective\u003c\/i\u003e is the first practical guide to analyzing fashion objects, clearly demonstrating how their close analysis can enhance and enrich interdisciplinary research. This accessible book provides readers with the tools to uncover the hidden stories in garments, setting out a carefully developed research methodology specific to dress, and providing easy-to-use checklists that guide the reader through the process.  Beautifully illustrated, the book contains seven case studies of fashionable Western garments  ranging from an 1820s coat to a 2004 Kenzo jacket  that articulate the methodological framework for the process, illustrate the use of the checklists, and show how evidence from the garment itself can be used to corroborate theories of dress or fashion.This book outlines a skillset that has, until now, typically been passed on informally. Written in plain language, it will give any budding fashion historian, curator, or researcher the knowledge and confidence to ana\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eDetective work is integral to fashion history research, yet very little has been written on how to go about it. Ingrid Mida and Alexandra Kim fill that gap in the bookshelf with \u003ci\u003eThe Dress Detective\u003c\/i\u003e. … A concise, well organized, and extremely accessible book that deserves a place on the bookshelf of anyone interested in fashion research. -- Katy Werlin * The Fashion Historian *\u003cbr\u003eBoth accessible and academic and a significant contribution to the study of [the history of Western dress] ... This book is well designed and a pleasure to look at. It functions as a practical manual, a ‘how to’ book, a reference work and an enjoyable read for anyone interested in this subject. * Costume *\u003cbr\u003eEnormously useful for the budding fashion historian or curator, this publication provides a textbook approach to the study of dress artefacts as a source for research. The authors, both of whom have curatorial backgrounds, provide a practice-based framework and a range of interesting case studies to instruct readers in the methods for observing and reflecting upon objects of dress. This accessible guide will surely become a crucial source for students of fashion studies. * Catwalk: The Journal of Fashion, Beauty and Style *\u003cbr\u003eFor post-secondary students on fashion courses with access to study garments, or for the novice researcher investigating in a museum or private collection, this book would be an invaluable resource. Even individuals with experience in handling fashion objects may glean new tips, or be reminded of best practice when closely examining dress objects, or in relating these findings to broader socio-economic, historical, or theoretical contexts. This book would also be a useful addition to the shelf of fashion collections in museums, to assist when training staff and volunteers in collection inventory or exhibit preparation. The Dress Detective gives clear clues to becoming a sartorial sleuth. * Museum \u0026amp; Society *\u003cbr\u003eThe Dress Detective provides an easy-to-use guide for how to look at a dress object and to consider its meaning. The framework, which the authors call “a slow approach to seeing,” involves three steps: observation, reflection, and  interpretation. It is a revision of Prown’s model of description, deduction, and speculation. * ITAA Online *\u003cbr\u003eFor the first time, \u003ci\u003eThe Dress Detective\u003c\/i\u003e offers a clear and systematic framework for the object-based study of dress. Advocating a ‘Slow Approach to Seeing’, it arms readers with the tools to learn this important research skill while encouraging them through well-chosen case studies to measure their findings against inter-disciplinary and theoretical writing on fashion. * Edwina Ehrman, Fashion Curator and Historian, UK *\u003cbr\u003eThis is the book we have been waiting for without realizing it! \u003ci\u003eThe Dress Detective\u003c\/i\u003e offers a rigorous and entirely accessible guide to examining and thinking about dress using objects as evidence. Case studies and checklists guide the reader – specialist and non-specialist alike – to explore and articulate garment construction, materials, design, alterations and the nuances of wear. I have no doubt it will become a seminal text. * Amy de la Haye, Joint Director of the Centre for Fashion Curation, London College of Fashion, UK *\u003cbr\u003e\u003ci\u003eThe Dress Detective \u003c\/i\u003eis a smart, accessible text that provides a long-overdue methodology for examining clothing and accessories. This book is essential for new students, but its concise framework will also be useful to seasoned researchers. Diverse, thorough case studies demonstrate the combination of visual analysis, history, and theory that is crucial to fashion studies today. * Colleen Hill, Associate Curator, The Museum at FIT, New York, USA *\u003cbr\u003eA long–anticipated guide to object–based dress research … I recommend this outstanding volume to students and faculty alike. * The Journal of Dress History *\u003cbr\u003eThis book operates as a kind of practical aid, offering a comprehensive methodological framework to both scholars and students. * Textile History *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eForeword, \u003ci\u003eJean L. Druesedow, Kent State University Museum, USA \u003c\/i\u003eAcknowledgments  Introduction Chapter 1: A Brief History of Object-based Research with Dress Artifacts Chapter 2: How to Read a Dress Artifact Chapter 3: Observation Chapter 4: Reflection Chapter 5: Interpretation Chapter 6: Case Study of a Yellow Woolen Pelisse Chapter 7: Case Study of a Gray-blue Sateen Corset Chapter 8: Case Study of a Brown Velveteen and Wool Bodice Chapter 9: Case study of a Man’s Evening Suit Tailcoat and Trousers Chapter 10: Case Study of a Lanvin Wedding Dress and Headpiece Chapter 11: Case Study of a Ruby Red Velvet Jacket by Christian Dior  Chapter 12: Case study of a Kimono-Style Jacket by Kenzo  Appendix 1: Checklist for Observation Appendix 2: Checklist for Reflection Index","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738586722647,"sku":"9781350087774","price":28.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781350087774.jpg?v=1720049564"},{"product_id":"research-methods-in-linguistic-anthropology-9781350117457","title":"Research Methods in Linguistic Anthropology","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eFor research in linguistic anthropology, the successful execution of research projects is a challenging but essential task. Balancing research design with data collection methods, this textbook guides readers through the key issues and principles of the core research methods in linguistic anthropology.  Designed for students conducting research projects for the first time, or for researchers in need of a primer on key methodologies, this book provides clear introductions to key concepts, accessible discussions of theory and practice through illustrative examples, and critical engagement with current debates. Topics covered include creating and refining research questions, planning research projects, ethical considerations for research, quantitative and qualitative data collection methods, data processing, data analysis, and how to write a successful grant application. Each chapter is illustrated by cases studies which showcase methods in practice, and are supported by activities and ex\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eResearch Methods in Linguistic Anthropology\u003c\/i\u003e offers a much needed and valuable collection of reflections on methods as well as practical guidelines for planning and carrying out research projects in linguistic anthropology ... The last chapter on grant writing is especially worth mentioning as it covers a topic which is not often transparently discussed in academic writing ... The high amount of detail and practical guidance to different methods across the chapters makes the book a rich resource for teaching. * LINGUIST List *\u003cbr\u003eThe book  provides an invaluable sourcebook\/guide, with innovative approaches for researchers wanting to document language,  culture, and human sociality as phenomena emergent through interactive practices. State-of-the-art chapters creatively investigate how to approach, conduct, and document fieldwork in linguistic anthropology with flexibility, ethics, and contingency always in the forefront. * Marjorie Harness Goodwin, Distinguished Research Professor of Anthropology, UCLA, USA *\u003cbr\u003eWhen I ventured to Madagascar in 1969, I took along a portable tape recorder, 35mm camera, and revered monograph as inspiration and proceeded to improvise fieldwork.  I so wish I could reverse history to benefit from the practical, ethical, and theory-relevant apprenticeship offered in Perrino and Pritzker’s extraordinary \u003ci\u003eResearch Methods in Linguistic Anthropology.\u003c\/i\u003e * Elinor Ochs, Distinguished Research Professor of Anthropology, University of California, Los Angeles, USA *\u003cbr\u003eThis book offers a broad perspective of methods from multiple authors and a diverse perspective of how those methods can be conceptualized and applied in different social and historical contexts. Therefore, this volume is a key resource for students as well as experienced researchers in linguistic anthropology and related fields. * Lanuage in Society *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction, \u003ci\u003eSabina M. Perrino and Sonya E. Pritzker\u003c\/i\u003e 1. Navigating Topics and Creating Research Questions in Linguistic Anthropology, \u003ci\u003eFarzad Karimzad and Lydia Catedral\u003c\/i\u003e 2. Reviewing the Literature in Linguistic Anthropology, \u003ci\u003eJustin B. Richland \u003c\/i\u003e 3. Planning Your Research, \u003ci\u003eDeborah Jones and Ilana Gershon\u003c\/i\u003e 4. Care as a Methodological Stance: Research Ethics in Linguistic Anthropology,\u003ci\u003e Steven P. Black and Robin Conley Riner\u003c\/i\u003e 5. Participant Observation and Fieldnotes in Linguistic Anthropology,\u003ci\u003e Sonya E. Pritzker and Sabina M. Perrino\u003c\/i\u003e 6. Interviews in Linguistic Anthropology,\u003ci\u003e Sabina M. Perrino\u003c\/i\u003e Audio-Video Technology For and In the Field: A Primer, \u003ci\u003eGregory Kohler and Keith M. Murphy\u003c\/i\u003e 7. Video Ethnography: A Guide, \u003ci\u003eTeruko Vida Mitsuhara and Jan David Hauck\u003c\/i\u003e 8. Transcription \u0026amp; Analysis in Linguistic Anthropology: Creating, Testing, and Presenting Theory on the Page, \u003ci\u003eMerav Shohet and Heather Loyd\u003c\/i\u003e 9. Online Research and New Media, \u003ci\u003eArchie Crowley and Elaine Chun\u003c\/i\u003e 10. Mixed Methods and Interdisciplinary Research in Linguistic Anthropology, \u003ci\u003eSonya E. Pritzker\u003c\/i\u003e 11. Grant Writing for Projects in Linguistic Anthropology, \u003ci\u003eSonia Neela Das\u003c\/i\u003e","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738590818647,"sku":"9781350117457","price":28.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781350117457.jpg?v=1720049577"},{"product_id":"diary-method-9781350187177","title":"Diary Method","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFirst published Open Access under a Creative Commons license as \u003ci\u003eWhat is Diary Method?\u003c\/i\u003e, this title is now also available as part of the Bloomsbury Research Methods series.\u003cbr\u003e\u003cbr\u003eThis book provides an up-to-date, concise, and engaging introduction to solicited diary method, aimed at researchers and students who want to employ this methodology in their projects. Its primary focus is on the use of solicited diary method in the context of social and health-related research, but it also offers useful guidance on the everyday practice of diary-keeping.\u003cbr\u003e\u003cbr\u003e The authors draw on published research that makes use of this method, including their own independent studies involving older adults and family carers. The book opens with an overview of the development of diary techniques and a discussion of the value of the method, and provides an overview of the different ways of collecting and using diary data and techniques for analysing it. Key ethical issues are sensitively discussed. \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e[The authors'] considerable experience of using diary method in health and social care research, together with the many practical examples drawn from up-to-date and diverse literature, makes this an enjoyable and authentic read, as well as an important contribution to the literature ... Bartlett and Milligan have raised the profile and value of diary method as a versatile research tool. The book is an excellent starting point for academics and students who will be inspired by the many practical examples. It is also an ideal reference text for those wishing to incorporate diary method into research methods courses ... [and] has much to offer those in health and social research. I will be recommending this book to my students and colleagues. * International Journal of Research \u0026amp; Method in Education *\u003cbr\u003eGives an excellent overview of how solicited diaries can offer researchers new insights into people’s experiences. A welcome addition to the research methods literature for anyone involved in health and social sciences research. * Jenny Hislop, Senior Researcher at the University of Oxford, UK *\u003cbr\u003eFirst easily understandable book on diary method, which comprehensively explains how to do it practically. Perfectly suitable for undergraduates. Easy to follow and good step-by-step instructions. Great chapters on sensory and audiovisual approaches and mixed methods approaches, they really add great value to the book. * Stephanie Tischler, IMC University of Applied Sciences Krems, Austria *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSeries Editor Foreword 1. The Development of Diary Techniques for Research  2. Engaging with Diary Techniques  3. Practical Issues with Diary Techniques: Design and Analysis  4. The Rise of Technology and its Influences on Diary Methods  5. Exploring Issues of Participation, Control and Ethics  6. Methodological Issues and Future Directions  References  Index\u003c\/p\u003e","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738601730391,"sku":"9781350187177","price":18.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781350187177.jpg?v=1720049615"},{"product_id":"quantitative-longitudinal-data-analysis-9781350188853","title":"Quantitative Longitudinal Data Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFirst published Open Access under a Creative Commons license as \u003ci\u003eWhat is Quantitative Longitudinal Data Analysis?\u003c\/i\u003e, this title is now also available as part of the Bloomsbury Research Methods series.\u003cbr\u003e\u003cbr\u003eAcross the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses.\u003cbr\u003e\u003cbr\u003e This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their req\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eAn impressive text for anyone wishing to understand the value of longitudinal data for social science research questions and the analytical techniques and practical approaches required to make effective use of such data. The clear enthusiasm and expertise of the authors for the subject shines through the text, helping the reader navigate the complexities of different kinds of longitudinal data, possible research questions and techniques with ease. It is really clearly written in a very engaging manner with examples and code making it suitable for students and researchers new to longitudinal research as well more experienced analysts. * Michaela Benzeval, Professor of Longitudinal Research, University of Essex, UK, and Director of Understanding Society: The UK Household Longitudinal Study, UK *\u003cbr\u003eJust as the authors intended, reading this book whetted my appetite for the rich portfolio of quantitative longitudinal data available in the UK ... Strong referencing and bibliography enable the reader to look further into influential approaches. * Research Matters *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSeries Editor Foreword 1. Introduction  2. Getting Started  3. Temporal Analysis with Cross-Sectional Data  4. Analysis of Data on Durations  5. Analysis of Repeated Contacts Data  6. Conclusion  Bibliography  Index\u003c\/p\u003e","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738601894231,"sku":"9781350188853","price":22.29,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781350188853.jpg?v=1720049615"},{"product_id":"a-quick-guide-to-research-methods-for-dissertations-in-education-9781350260375","title":"A Quick Guide to Research Methods for","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eAre you about to start your dissertation in education? Not sure what methods to use? \u003c\/b\u003eProviding you with an invaluable starting point, this book gives practical information about a variety of research methods, including their pros and cons, things you need to consider before using each method and crucially, what they are not suitable for. It looks at the most commonly used methods as well as some you might not have come across before. Each chapter features examples and activities, and will help you answer these questions:- What can this method tell me?- When might I use it?- What ethical issues do I need to consider?- What is the key terminology I need to know?- How can I design a dissertation project with this method?- How do I analyse my data?- What is this method not suitable for? Written in uncomplicated language, it is a student-friendly resource to dip into, with links to further reading for more in-depth exploration of any particular method.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eAccessible, clear and engaging – what an excellent resource for anyone embarking upon an undergraduate dissertation in education! The helpful structure and strong navigation facilitate efficient identification of relevant material for the reader. * Nick Gee, Dean of Faculty, Bishop Grosseteste University, UK *\u003cbr\u003eFull of helpful advice, tips, and guidance about different research methods and approaches, this book is an invaluable resource for students embarking on their dissertations. * Robert Lawson, Associate Professor in Sociolinguistics, Birmingham City University, UK *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction: How to Use this Book, \u003ci\u003eAbigail Parrish \u003c\/i\u003e\u003ci\u003e(University of Sheffield, UK)\u003c\/i\u003e\u003ci\u003e and Ghazal Shaikh (University of Sindh, Pakistan)\u003c\/i\u003e  \u003cb\u003ePart I: Commonly Used Methods\u003c\/b\u003e  1. Interviews, \u003ci\u003eGhazal Shaikh (University of Sindh, Pakistan)\u003c\/i\u003e  2. Focus groups, \u003ci\u003eElizabeth Bailey (University of Lincoln, UK)\u003c\/i\u003e  3. Questionnaires, \u003ci\u003eAbigail Parrish \u003c\/i\u003e\u003ci\u003e(University of Sheffield, UK)\u003c\/i\u003e  4. Observations, \u003ci\u003eGéraldine Bengsch (King's College London, UK)\u003c\/i\u003e  \u003cb\u003ePart II: Further Qualitative Methods\u003c\/b\u003e  5. Document Analysis, \u003ci\u003eSheikha Al Sheyadi (Oman Tourism College, Oman)\u003c\/i\u003e  6. Discourse Analysis, Asadullah Lashari \u003ci\u003e(University of Sindh, Pakistan)\u003c\/i\u003e  7. Ethnography,\u003ci\u003e Ambreen Shahriar and Asadullah Lashari (University of Sindh, Pakistan)\u003c\/i\u003e  8. Netnography, \u003ci\u003eKevin McLaughlin (Bishop Grosseteste University, UK)\u003c\/i\u003e  9. Visual Data, \u003ci\u003eJayme Scally (University of Hawai’i at Manoa, USA)\u003c\/i\u003e  10. Think-aloud Protocols \u003ci\u003eHassan Syed (Sukkur IBA University, Pakistan)\u003c\/i\u003e  \u003cb\u003ePart III: Further Quantitative Methods\u003c\/b\u003e  11. Reaction time Methods, \u003ci\u003eJelena O’Reilly (University of York, UK)\u003c\/i\u003e  12. Experimental Designs, Verónica García Castro\u003ci\u003e (University of Costa Rica\u003c\/i\u003e\u003ci\u003e, Costa Rica)\u003c\/i\u003e  References  Index","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738611364183,"sku":"9781350260375","price":20.89,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781350260375.jpg?v=1720049648"},{"product_id":"mixed-methods-research-9781350270985","title":"Mixed Methods Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eIn this book, Mertens provides a brief history of the emergence of mixed methods research and numerous examples to illustrate its application in different disciplines and geographic areas. Mixed methods approaches offer researchers an exciting opportunity to explore new combinations of methods in diverse contexts: the design possibilities are endless and can be incorporated in many different approaches. The book presents case studies to illustrate different philosophical lenses for mixed methods design, including post-positivism, constructivism, pragmatism, transformative, Indigenous, and dialectical pluralism. The book features interviews with researchers about their experiences and practices. They discuss a variety of topics including innovative research design, use of technology and big data, preparation of mixed methods researchers, and how this research can contribute to a more just and equitable future.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis book introduces multiple lenses to examine a social phenomenon using mixed methods with case study examples. Reflecting issues and ethical values of the 21st century, the book emphasizes cultural sensitivity and inclusiveness in the research process. The author's clear writing makes it easy for non-native English readers to understand. * Hisako Kakai, Professor of International Communication, Aoyama Gakuin University, Japan *\u003cbr\u003eBy taking the intriguing route of introducing readers to options in research design through the lens of paradigmatic assumptions, Mertens renders accessible this often-daunting component of mixed methods research. Numerous case studies with a social justice orientation, where the focus is on the place and construction of stakeholder–community–interdisciplinary relationships, illustrate these options. * Pat Bazeley, Adjunct Professor, Western Sydney University, Australia *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSeries Foreword 1.  Definition of Mixed Methods and its Emergence as a Methodological Approach 2. Evolving Paradigms in Mixed Methods: Case studies  3. Becoming a Mixed Methods Researcher  4. The Future of Mixed Methods: Challenges and Innovations in Diverse Contexts  Further Readings and Resources  References Index","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738613100887,"sku":"9781350270985","price":17.09,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781350270985.jpg?v=1720049654"},{"product_id":"qualitative-interviewing-9781350275126","title":"Qualitative Interviewing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFirst published Open Access under a Creative Commons license as \u003ci\u003eWhat is Qualitative Interviewing?\u003c\/i\u003e, this title is now also available as part of the Bloomsbury Research Methods series.\u003cbr\u003e\u003cbr\u003eThis book is a step-by-step guide for new and experienced social science researchers looking to use interviews in their projects. Rosalind Edwards and Janet Holland explain a range of interview types and practices, providing real research examples as informative illustrations of qualitative interviewing in practice, and the use of a range of creative interview tools. This new and expanded edition includes:\u003cbr\u003e\u003cbr\u003e- recent developments in the radical critique of interviews debate focusing on form and content of interviews;\u003cbr\u003e- the strategic shift to online interviewing in response to the Covid-19 pandemic;\u003cbr\u003e- discussion of the decolonization of methodology and research, and the growing attention to indigenous methodologies for generating data;\u003cbr\u003e- an assessment of the changing landscape\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eAn excellent introduction to qualitative interviewing. The authors are to be congratulated for contributing a reader-friendly, concise, and informative text on qualitative interviewing to the methodological literature in qualitative inquiry. With numerous examples drawn from recent research, and discussions of important current debates, students will be well-situated to design quality interview studies that are theoretically well-grounded. -- Kathryn Roulston, Professor in the Qualitative Research Program in the Mary Frances Early College of Education, University of Georgia, Athens, USA\u003cbr\u003eA valuable practical guide to qualitative interviewing and a deeply methodological account of qualitative research. This book is comprehensive, creative and rich in examples of qualitative interview practice. It offers a clear and accessible approach to the philosophical and epistemological choices we make and engages with on-going debates that shape qualitative research in the 21st century. -- Nick Emmel, Professor of Social Research Methodology, University of Leeds, UK\u003cbr\u003eProfessors Rosalind Edwards and Janet Holland provide an easily digestible introductory text for newcomers to the qualitative aspects of social research. Research can be daunting for beginners who are keen to engage in the interview process as a key method. \u003ci\u003eWhat is Qualitative Interviewing?\u003c\/i\u003e will no doubt provide the confidence for students to consider best practice when interviewing their participants ... A most definite must read for those plunging into their very first qualitative interviews. * Sadia Habib, The Sociological Imagination (of the first edition) *\u003cbr\u003eWe learn, with the utmost clarity and conciseness, a great deal about the key terms, the development of the method, forms of qualitative interviewing, research tools, practical aspects of conducting an interview ... and strengths, issues and the future of qualitative interviewing ... A really successful and readable book that will help you to understand and reflect upon qualitative interviewing. * Soziologische Revue (Bloomsbury translation) (of the first edition) *\u003cbr\u003eGood, easy, accessible book for undergraduate teaching that fits with what I teach and signposts students well. Succinct, but not too basic either. Good introduction to qualitative interviewing. * Kaye Richards, Liverpool John Moores University, UK (of the first edition) *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSeries Foreword 1. Qualitative Interviews – the Key Terms 2. The Development of Qualitative Interviews 3. Forms that Qualitative Interviews can Take 4. Where Qualitative Interviews Take Place 5. Research Tools Used in Conducting Qualitative Interviews 6. The Practicalities Involved in Conducting Qualitative Interviews 7. Power and Emotional Dynamics in Qualitative Interviews 8.  The Changing Landscape for Qualitative Interviewing Annotated Bibliography References Index\u003c\/p\u003e","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738613821783,"sku":"9781350275126","price":17.09,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781350275126.jpg?v=1720049657"},{"product_id":"decolonizing-methodologies-9781350346086","title":"Decolonizing Methodologies","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eTo 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.\u003cbr\u003e\u003cbr\u003eThis 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.\u003cbr\u003e\u003cbr\u003eNow 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.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction 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","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738622013783,"sku":"9781350346086","price":18.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781350346086.jpg?v=1720049687"},{"product_id":"introduction-to-research-methods-5th-edition-9781408711057","title":"Introduction to Research Methods 5th Edition","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis practical, down-to-earth guide is for researchers, students, community groups, charities or employees - in fact anyone who needs to put together research projects quickly and effectively.","brand":"Little, Brown Book Group","offers":[{"title":"Default Title","offer_id":48739041411415,"sku":"9781408711057","price":14.24,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781408711057.jpg?v=1720050978"},{"product_id":"using-narrative-in-social-research-9781412900416","title":"Using Narrative in Social Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e'Jane Elliott's examination of the use of narrative within the broad context of social science inquiry is a must-read for both qualitative and quantitative researchers, novice and expert alike' - \u003cb\u003e\u003ci\u003eJournal of Advanced Nursing\u003c\/i\u003e\u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e`This important book does an impressive job of synthesising a complex literature and bringing together both qualitative and quantitative methods of narrative analysis.  It will become a milestone in the development of narrative methods. Although ground-breaking in many ways, it is very clearly written and accessible to readers from a wide variety of backgrounds and methodological experience' - \u003cb\u003e\u003ci\u003eNigel Gilbert, University of Surrey\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e`An elegantly written, scholarly and accessible text. Jane Elliott shows a sophisticated appreciation of contemporary methodological developments, and makes a persuasive case for the use of narrative approaches in both qualitative and quantitative research. The book challenges and advance\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eNarrative and Research in the Social Sciences Listening to People′s Stories    The Use of Narrative in Qualitative Interviews Interpreting People′s Stories    Narrative Approaches to the Analysis of Qualitative Data Collecting Quantitative Narratives - A Contradiction in Terms? Statistical Stories? The Use of Narrative in Quantitative Analysis Uncovering and Understanding Causal Effects and Processes Narrative and Identity    Constructions of the Subject in Qualitative and Quantitative Research The Ethical and Political Implications of Using Narrative in Research The Researcher as Narrator    Reflexivity in Qualitative and Quantitative Research Telling Better Stories? Combining Qualitative and Quantitative Research\u003c\/p\u003e","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48739107602775,"sku":"9781412900416","price":51.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781412900416.jpg?v=1720051186"},{"product_id":"first-and-second-steps-in-statistics-9781412911429","title":"First and Second Steps in Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e'This engagingly written and nicely opinionated book is a blend of friendly introduction and concisely applicable detail. No-one can recall every statistical formula, but if they have this book they will know where to look' - \u003cb\u003e\u003ci\u003eProfessor Jon May, University of Plymouth\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e'This is one of the best books I have come across for teaching introductory statistics. The illustrative examples are engaging and often humorous and the explanations of 'difficult' concepts are written in a wonderfully clear and intuitive way' -\u003cb\u003e \u003ci\u003eNick Allum, University of Essex\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003e\u003c\/p\u003e  \u003cp\u003eSelected as an Outstanding Academic Title by Choice Magazine, January 2010\u003c\/p\u003e  \u003cp\u003e\u003c\/p\u003e  \u003cp\u003eFirst (and Second) Steps in Statistics, Second Edition provides a clear and concise introduction to the main statistical procedures used in the social and behavioural sciences and is perfect for the statistics student starting their journey. \u003c\/p\u003e  \u003cp\u003e\u003c\/p\u003e  \u003cp\u003eThe rationale and procedure for anal\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e′This engagingly written and nicely opinionated book is a blend of friendly introduction and concisely applicable detail. No-one can recall every statistical formula, but if they have this book they will know where to look′ - \u003cb\u003e\u003ci\u003eProfessor Jon May, University of Plymouth \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003e′This is one of the best books I have come across for teaching introductory statistics. The illustrative examples are engaging and often humorous and the explanations of ′difficult′ concepts are written in a wonderfully clear and intuitive way′ -\u003cb\u003e \u003ci\u003eNick Allum, University of Essex\u003c\/i\u003e\u003c\/b\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eUnivariate Statistics 1: Histograms and Boxplots Univariate Statistics 2: The Mean and Standard Deviation Univariate Statistics 3: Proportions and Bar Charts Sampling and Allocation Inference and Confidence Intervals Hypothesis Testing: t tests and Alternatives Comparing More than Two Groups or More than Two Variables Regression and Correlation Factorial ANOVAs and Multiple Regression Categorical Data Analysis","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48739109503319,"sku":"9781412911429","price":40.49,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781412911429.jpg?v=1720051191"},{"product_id":"educational-research-and-evidencebased-practice-9781412945622","title":"Educational Research and Evidencebased Practice","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eCombining classic articles that have been key markers in recent debates with some new material, this book addresses the problems involved in educational research and the issues surrounding its contribution to policymaking and practice.\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe authors examine the diverse approaches within qualitative research and address some of the key areas which have attracted criticism. They consider what role research should play and examine the case for randomised controlled trials and for action research.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThe book is suitable for any undergraduate or postgraduate student concerned with educational research methodology, as well as those focusing on educational policy and practice, and students doing PhDs and EdDs.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction PART ONE: DEBATES ABOUT EVIDENCE-BASED PRACTICE 1. Teaching as a research-based profession: possibilities and prospects. David Hargreaves 2. Educational research and teaching: a response to David Hargreaves′ TTA Lecture. Martyn Hammersley 3. In defence of research for evidence-based teaching: a rejoinder to Martyn Hammersley. David Hargreaves 4. A reply to Hargreaves. Martyn Hammersley 5. Making evidence-based practice educational. John Elliott 6. Making Evidence-based practice educational: a rejoinder to John Elliott. Ann Oakley 7. Evidence-informed policy and practice: challenges for social science. Ann Oakley  8. Intellectuals or technicians? The urgent role of theory in educational studies. Stephen J Ball 9. Beyond reflection: contingency, idiosyncrasy and reflexivity in initial teacher education. Alex Moore PART TWO: THE NATURE OF EDUCATIONAL RESEARCH 10. On the kinds of research in educational settings. Michael Bassey  11. The paradigm wars and their aftermath: a \"historical\" sketch of research on teaching since 1989. Nathaniel Gage 12. Action research. Stephen Kemmis 13. Increasing the generalisability of qualitative research. Janet W Schofield 14. Critical incidents and learning about risks: the case of young people and their health. Martyn Denscombe 15. Interrogating the discourse of home-school relations: the case of parents′ evenings. Maggie MacLure with Barbara Walker 16. Labouring to learn?: industrial training for slow learners. Paul Atkinson, David Shone and Teresa Rees 17. An appraisal of Labouring to learn. Martyn Hammersley 18. The obviousness of social and educational research results. Nathaniel Gage\u003c\/p\u003e","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48739113730391,"sku":"9781412945622","price":48.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781412945622.jpg?v=1720051203"},{"product_id":"100-questions-and-answers-about-research-methods-9781412992039","title":"100 Questions and Answers About Research Methods","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cem\u003eHow do I create a good research hypothesis?\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eHow do I know when my literature review is finished?\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eWhat is the difference between a sample and a population?\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003eWhat is power and why is it important?\u003c\/em\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eIn an increasingly data-driven world, it is more important than ever for students as well as professionals to better understand the process of research. This invaluable guide answers the essential questions that students ask about research methods in a concise and accessible way. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"This is a concise text that has good coverage of the basic concepts and elementary principles of research methods. It picks up where many traditional research methods texts stop and provides additional discussion on some of the hardest to understand concepts.\" -- University of Central Florida\u003cbr\u003e\"I think it’s a great idea for a text (or series), and I have no doubt that the majority of students would find it helpful. The material is presented clearly, and it is easy to read and understand. My favorite example from those provided is on p. 7 where the author provides an actual checklist for evaluating the merit of a study. This is a great tool for students and would provide an excellent “practice” approach to learning this skill. Over time students wouldn’t need a checklist, but I think it would be invaluable for those students with little to no research experience.\" -- University of Denver\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart 1. Understanding the Research Process and Getting Started Part 2. Reviewing and Writing About Your Research Question Part 3. Introductory Ideas About Ethics Part 4. Research Methods: Knowing the Language, Knowing the Ideas Part 5. Sampling Ideas and Issues Part 6. Describing Data Using Descriptive Techniques Part 7. All About Testing and Measuring Part 8. Understanding Different Research Methods Part 9. All About Inference and Significance","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48739120087383,"sku":"9781412992039","price":27.19,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781412992039.jpg?v=1720051220"},{"product_id":"basics-of-qualitative-research-9781412997461","title":"Basics of Qualitative Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eOffering immensely practical advice, \u003cstrong\u003eBasics of Qualitative Research, Fourth Edition\u003c\/strong\u003e presents methods that enable researchers to analyze, interpret, and make sense of their data, and ultimately build theory from it. Authors Juliet Corbin and Anselm Strauss (late of the University of San Francisco and co-creator of grounded theory) walk readers step-by-step through the research processfrom the formation of the research question through several approaches to coding, analysis, and reporting. Packed with definitions and illustrative examples, this highly accessible book concludes with chapters that present criteria for evaluating a study, as well as responses to common questions posed by students of qualitative research. New end-of-chapter Insider Insights contributed by qualitative researchers give readers a sense of what it's like to work in the field. Significantly revised, this \u003cstrong\u003eFourth Edition \u003c\/strong\u003eremains a landmark volume in the study of qualitative methods\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\"The subject of the book is timely, important, and relevant. The content is laid out in a logical and organized manner and written in a style that is easy to understand.\"\u003c\/p\u003e -- Mahesh S. Raisinghani, Texas Woman’s University\u003cbr\u003e\u003cp\u003e\"[This book] provides an overview as well as depth into some of the techniques used in Grounded Theory studies, from the formation of research questions on through how to disseminate the work. A beginning researcher wanting to conduct a Grounded Theory study would find parts of this book helpful.\"\u003c\/p\u003e -- Kathryn Pole, University of Texas at Arlington\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart I: Introduction to Grounded Theory of Anselm Strauss Chapter 1: Inspiration and Background Chapter 2: Theoretical Foundations Chapter 3: Practical Considerations for Getting Started Chapter 4: Prelude to Analysis Chapter 5: Strategies for Qualitative Data Analysis Chapter 6: Memos and Diagrams Chapter 7: Theoretical Sampling Chapter 8: Context Chapter 9: Process Chapter 10: Techniques for Achieving Theoretical Integration Chapter 11: The Use of Computer Programs in Qualitative Data Analysis Part II: Research Demonstration Project Chapter 12 Open Coding: Identifying Concepts Chapter 13: Developing Concepts in Terms of Their Properties and Dimensions Chapter 14: Analyzing Data for Context Chapter 15: Bringing Process Into the Analysis Chapter 16: Integrating Categories Part III: Finishing the Research Project Chapter 17: Writing Theses, Monographs, and Dissertations, and Giving Talks About Your Research Chapter 18: Criteria for Evaluation Chapter 19: Student Questions and Answers","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48739120611671,"sku":"9781412997461","price":76.95,"currency_code":"GBP","in_stock":true}]},{"product_id":"designing-surveys-9781412997348","title":"Designing Surveys","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eWritten with the needs and goals of a novice researcher in mind, this fully updated \u003cstrong\u003eThird Edition\u003c\/strong\u003e provides an accurate account of how modern surveys are actually designed and conducted. Much more than a how-to guide, this up-to-date and accessible book presents the material in a social science context and teaches readers to think through decisions about sample design, questionnaire development, and data collection, rather than simply following prescriptive advice that may not be appropriate to particular practical situations. In addition to providing examples of alternative procedures, \u003cstrong\u003eDesigning Surveys\u003c\/strong\u003e shows how classic principles and recent research guide decision-makingfrom setting the basic features of the survey design to implementing instrument development, testing, and data collection. The new edition covers new developments in data collection technologies, provides a more comprehensive treatment of questionnaire development and pretesting, and \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cem\u003e“This book has much to recommend it. The authors succeed in pulling off some difficult balancing acts. They manage to introduce a good deal of material in a concise package. They cover key topics in practical, accessible terms, but not in simple cookbook terms. The entire survey research process is covered in a way that helps students appreciate how steps in the process are integrated. Students will understand that survey research is \u003c\/em\u003eresearch\u003cem\u003e, not just a series of tasks.”\u003c\/em\u003e -- Julio Borquez\u003cbr\u003e\u003cem\u003e“Many of our students do not have prior methods experience. They need a text that brings them into the methodology of the field and this one is just right. The concrete examples are especially helpful. Students tell me that this text is one that they keep and use over and over. It is the kind of text that empowers them to walk through the steps of doing their research.”\u003c\/em\u003e -- Brenda D. Phillips\u003cbr\u003e\u003cem\u003e“Without fail, my students are very interested in the practical aspects of survey design and implementation. They want to understand, quickly and simply, the workflow of a survey project, how many observations they need to answer their research questions, and how much it is going to cost. Not surprisingly, then, I find the applied focus of the text very helpful. The coverage of sampling and power calculations for hypothesis testing are unique strengths. The text is accessible, practical, and concise.”\u003c\/em\u003e -- Chadwick L. Menning\u003cbr\u003e\"\u003cstrong\u003eDesigning Surveys\u003c\/strong\u003e is well written and is intended for novices engaged in designing a (student) survey for the first time as well as for those with some knowledge of and experience with surveys. I would add a third group of potential readers to the list: more experienced researchers who feel the need to update and refresh their knowledge.\"\u003cbr\u003e \u003cbr\u003e                                                                 —\u003cstrong\u003eEdith D. de Leeuw,\u003c\/strong\u003e University of Amsterdam, Amsterdam, The Netherlands\u003cbr\u003e -- Edith D. de Leeuw * Edith D. de Leeuw *\u003cbr\u003eI have no hesitation in recommending this book as a preferred course text at post-graduate level or for in-house training.  It’s far superior to anything else on the market and sits nicely between Andres (2012) and Marsden and Wright (2010).  Whereas some  books tend to be more academic (and sometimes based on limited, if any, serious experience of actually doing surveys) this book is written by people who do surveys for a living, one of them for forty years.  With its combination of accumulated wisdom and narrative skill, it’s easy (and fulfilling) to read, and you can barely see the joins. It has been written by very experienced fellow professionals used to dealing with operational practicalities, spiced with (just enough, but not too much) theory and thankfully few equations (formulae are immediately off-putting for students in sociology and similar areas). -- John F Hall\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Survey Practice 2. Survey Error 3. Planning the Survey: The Hierarchy of Decisions 4. Data Collection I: Selecting a Method 5. Sampling I: Concepts of Representation and Sample Quality 6. Sampling II: Population Definition and Frames 7. Sampling III: Sample Size and Sample Design    Methodology Appendix 1: Using Models in Sampling 8. Questionnaire Development I: Measurement Error and Question Writing 9. Questionnaire Development II: Questionnaire Structure    Methodology Appendix 2: Questionnaire Evaluation Workshop 10. Questionnaire Development III: Pretesting    Methodology Appendix 3: Cognitive Interviewing Workshop 11. Data Collection II: Controlling Error in Data Collection    Methodology Appendix 4: An Overview of Organization Surveys 12. Post-Survey Statistical Adjustments and the Methodology Report Appendix A: UM Undergraduate Student Survey Appendix B: Maryland Crime Survey Appendix C: AAPOR Code of Professional Ethics Appendix D: Internet Resources","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48739120709975,"sku":"9781412997348","price":999.99,"currency_code":"GBP","in_stock":false}]},{"product_id":"essentials-of-descriptiveinterpretive-qualitative-research-9781433833717","title":"Essentials of DescriptiveInterpretive Qualitative","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis practical, step-by-step guide explains the most important principles for using a generic approach to descriptive-interpretive qualitative research. \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eSeries Foreword by Clara E. Hill and Sarah Knox\u003c\/p\u003e\u003cp\u003e1. Why a Generic Descriptive-Interpretive Approach to Qualitative Research?\u003c\/p\u003e\u003cp\u003e2. Designing the Study\u003c\/p\u003e\u003cp\u003e3. Data Collection\u003c\/p\u003e\u003cp\u003e4. A Framework of Key Modes of Qualitative Data Analysis\u003c\/p\u003e\u003cp\u003e5. Writing the Manuscript\u003c\/p\u003e\u003cp\u003e6. Methodological Integrity\u003c\/p\u003e\u003cp\u003e7. Summary and Conclusions\u003c\/p\u003e\u003cp\u003eAppendix. Example Studies\u003c\/p\u003e\u003cp\u003eReferences\u003c\/p\u003e","brand":"American Psychological Association","offers":[{"title":"Default Title","offer_id":48739181298007,"sku":"9781433833717","price":21.84,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781433833717.jpg?v=1720051409"},{"product_id":"using-case-study-in-education-research-9781446208175","title":"Using Case Study in Education Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book provides an accessible introduction to using case studies. It makes sense of literature in this area, and shows how to generate collaborations and communicate findings.  \u003cp\u003e\u003c\/p\u003e  \u003cp\u003eThe authors bring together the practical and the theoretical, enabling readers to build expertise on the principles and practice of case study research, as well as engaging with possible theoretical frameworks. They also highlight the place of case study as a key component of educational research.\u003c\/p\u003e  \u003cp\u003e\u003c\/p\u003e  \u003cp\u003eWith the help of this book, M-Level students, teacher educators and practitioner researchers will gain the confidence and skills needed to design and conduct a high quality case study.  \u003c\/p\u003e  \u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e  \u003cp\u003eDr Lorna Hamilton is a Senior Lecturer in Education Research at the University of Edinburgh. \u003cb\u003eDr Connie Corbett-Whittier\u003c\/b\u003e is an Associate Professor of English and Humanities at Friends University, Topeka, Kansas. \u003c\/p\u003e  \u003cp\u003e\u003c\/p\u003e  \u003cp\u003e'Drawing on a wide range of their own and\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e′Drawing on a wide range of their own and others′ experiences, the authors offer a comprehensive and convincing account of the value of case study in educational research.  What comes across - quite passionately - is the way in which a case study approach can bring to life some of the complexities, challenges and contradictions inherent in educational settings.  The book is written in a clear and lively manner and should be an invaluable resource for those teachers and students who are incorporating a case study dimension into their research work′\u003cbr\u003e\u003cb\u003e \u003cb\u003e\u003ci\u003e- Ian Menter, Professor of Teacher Education, University of Oxford\u003c\/i\u003e\u003c\/b\u003e\u003ci\u003e\u003cbr\u003e \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003e′This book is comprehensive in its coverage, yet detailed in its exposition of case study research. It is a highly interactive text with a critical edge and is a useful tool for teaching. It is of particular relevance to practitioner researchers, providing accessible guidance for reflective practice.  It covers key matters such as: purposes, ethics, data analysis, technology, dissemination and communities for research. And it is a good read!′\u003cbr\u003e\u003cb\u003e\u003cb\u003e\u003ci\u003e- \u003c\/i\u003e\u003c\/b\u003e\u003c\/b\u003e\u003c\/i\u003e\u003cb\u003e\u003ci\u003eProfessor Anne Campbell, formerly of Leeds Metropolitan University\u003c\/i\u003e\u003c\/b\u003e\u003ci\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003e′This excellent book is a principled and theoretically informed guide to case study research design and methods for the collection, analysis and presentation of evidence′\u003cbr\u003e\u003cb\u003e-Professor Andrew Pollard, Institute of Educaiton, University of London\u003c\/b\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePART ONE: THE CASE STUDY APPROACH IN EDUCATION RESEARCH Defining Case Study in Education Research  Ideas as the Foundation for Case Study PART TWO: CHOOSING THE CASE STUDY ROUTE Key Purposes  Key Decisions Ethics and Issues PART THREE: DOING A CASE STUDY Carrying out Your Study A Practitioner Perspective Approaches to Data Analysis Using Technology to Manage and Analyze Your Data  PART FOUR: DISSEMINATING AND DEFENDING CASE STUDY APPROACH Finding Your Voice Sharing Case Study: Quality and Communication PART FIVE: COMMUNITY AND NETWORKING Virtual Environments and Collaborations Community Building Conclusion References Index","brand":"Sage Publications Ltd","offers":[{"title":"Default Title","offer_id":48739312337239,"sku":"9781446208175","price":36.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781446208175.jpg?v=1720051872"}],"url":"https:\/\/bookcurl.com\/collections\/research-methods-methodology.oembed?page=58","provider":"Book Curl","version":"1.0","type":"link"}