{"title":"Social research and statistics Books","description":"","products":[{"product_id":"the-generation-divide-why-we-can-t-agree-and-why-we-should-9781786499738","title":"The Generation Divide: Why We Can’t Agree and Why","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003e'Subtle and compelling.' \u003ci\u003eObserver\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e'One of the best books of 2021.' \u003ci\u003eThe Times\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003eAre we in the middle of a generational war? Are Millennials really entitled 'snowflakes'? Are Baby Boomers stealing their children's futures? Are Generation X the saddest generation? Will Generation Z fix the climate crisis?\u003cbr\u003e\u003cbr\u003eRevealing and informative, \u003ci\u003eThe Generation Divide\u003c\/i\u003e provides a bold new framework for understanding the most divisive issues raging today: from culture wars to climate change and mental health to housing. Including data from all over the globe, and with powerful implications for humanity's future, this big-thinking book will transform how you view the world.\u003cbr\u003e\u003cbr\u003e\u003cb\u003ePreviously published as\u003ci\u003e Generations. \u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eA subtle and compelling book * Will Hutton, Observer *\u003cbr\u003eExcellent... explodes stereotypical intergenerational myths * Financial Times *\u003cbr\u003eEssential for anyone who truly wants to understand our world. * Julia Gillard, former Prime Minister of Australia *\u003cbr\u003eEngaging and vital. Anyone trying to understand social change has to distinguish the effects of generations, periods and ages. * Steven Pinker, Professor of Psychology, Harvard University, and author of Enlightenment Now *\u003cbr\u003eStartling, witty and erudite. This is a must-read, complete analysis of our times - a portrait of the way we live now in all its changing confusions down the generations. Read this to explode the myth of manufactured generational wars. * Polly Toynbee, Guardian columnist *\u003cbr\u003eIndispensable... Bobby Duffy is among the most creative and prolific generational analysts anywhere in the world. * Robert Putnam, Professor of Public Policy at Harvard University *\u003cbr\u003eEye-catching and compelling. To get a reliable glimpse of the future it is essential to have clear picture of the present. Generations does it better than anything I've seen in recent years. * Trevor Phillips, former Chair of The Commission for Equality and Human Rights *\u003cbr\u003eExcellent. Duffy convincingly and comprehensively punctures the myths around generations that have pigeon-holed people for decades. * Dame Margaret Hodge, former Chair of the Public Accounts Committee *\u003cbr\u003eBrilliant. Duffy has built a powerful toolkit for understanding the forces and relationships that shape the world we live in - and the one our children will inherit. * Rafael Behr, Guardian Columnist *\u003cbr\u003eThe most comprehensive, compelling and careful account for how and why the generations diverge, come together and can better connect. * Danny Dorling, Professor of Geography, Oxford University *\u003cbr\u003eOne of the best books of 2021 * The Times *\u003cbr\u003eA truly brilliant and engaging explanation of a new way to think about how and why we're changing. Duffy picks clever and often amusing examples to illustrate his analysis, while he also recognises the important concerns we all have about the future and our place in it. * Dame Louise Casey, former Director General of the Department for Communities and Local Government *\u003cbr\u003eThis important book deserves our attention. Duffy casts new light on the endlessly fascinating issue of what links the generations and how they differ. * Lord David Willetts, author of The Pinch *\u003cbr\u003eAn insightful read for those interested in understanding changing social attitudes and behaviour, and most importantly Duffy helps to bust damaging myths about generational stereotypes. * Independent *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1: The Question of Our Generation\t 2: Stagnation Generation\t\t\t\t\t 3: Home Affront\t\t\t\t\t 4: Reaching Higher, Falling Flat\t\t\t\t\t 5: Happy Now\t\t\t\t\t 6: A Healthy Future?\t\t\t\t\t 7: The Sex Recession, Baby Bust and Death of Marriage\t\t\t\t\t 8: Manufacturing a Generational Culture War\t\t\t\t\t 9: Constant Crises\t\t\t\t\t 10: Consuming the Planet\t\t\t\t\t 11: Us and Them\t\t\t\t\t 12: The End of the Line?","brand":"Atlantic Books","offers":[{"title":"Default Title","offer_id":47851216896343,"sku":"9781786499738","price":10.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781786499738.jpg?v=1710630411"},{"product_id":"jackpot-how-gambling-conquered-britain-9781783352258","title":"Jackpot: How Gambling Conquered Britain","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eA striking exposé \u003c\/b\u003e\u003cb\u003eof the insidious business practices that have generated enormous profits for the companies operating within the UK's gambling industry.\u003cbr\u003e\u003cbr\u003e\u003c\/b\u003e'A methodical, sensitive and occasionally harrowing polemic about the gambling industry . . . The book has echoes of Patrick Radden Keefe's award-winning \u003ci\u003eEmpire of Pain.'\u003c\/i\u003e\u003cbr\u003e\u003ci\u003e\u003cb\u003eSUNDAY TIMES\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e'\u003c\/i\u003eA serious attempt to grapple with the extent of Britain's problem.'\u003cbr\u003e\u003cb\u003e\u003ci\u003eTHE SPECTATOR\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e'Persuasive.' \u003cb\u003e\u003ci\u003eFINANCIAL TIMES\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e'Fascinating.' \u003cb\u003e\u003ci\u003eIRISH TIMES\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e'Eye-opening.' \u003cb\u003e\u003ci\u003eTELEGRAPH\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003e***\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003e716\u003c\/b\u003e: the number of gambling logos displayed in a single Premier League football match\u003cbr\u003e\u003cbr\u003e\u003cb\u003e£421 MILLION\u003c\/b\u003e: the salary of Bet365's CEO in 2020.\u003cbr\u003e\u003cbr\u003e\u003cb\u003e£14 BILLION\u003c\/b\u003e: the annual losses incurred by British gamblers.\u003cbr\u003e\u003cbr\u003e\u003ci\u003eOver half of the population gambles in the UK every year. How did we get here? What keeps us hooked when the odds are so heavily stacked against us? And who are the real winners and losers?\u003cbr\u003e\u003c\/i\u003e\u003cbr\u003e\u003ci\u003eJackpot\u003c\/i\u003e dives deep into gambling's seedy underbelly to answer these questions, and many more. From the first National Lottery draw in 1569 to the Wild West of today's online casinos, \u003ci\u003eGuardian\u003c\/i\u003e reporter Rob Davies follows the money to show who profits - and at what cost.\u003c\/p\u003e","brand":"Guardian Faber Publishing","offers":[{"title":"Default Title","offer_id":47851304321367,"sku":"9781783352258","price":10.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781783352258.jpg?v=1710633761"},{"product_id":"social-research-approaches-and-fundamentals-9780190635107","title":"Social Research Approaches and Fundamentals","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eRevised and updated in its sixth edition, Social Research: Approachs and Fundamentals is a rigorous yet clear and engaging introduction to research methods. Covering all of the fundamentals in a straightforward, student-friendly manner, it is ideal for undergraduate- and graduate-level courses across the social sciences and also serves as an indispensable guide for researchers. Striking a balance between specific techniques and the underlying logic of scientific inquiry, this book provides a lucid treatment of the four major approaches to research: experimentation, survey research, field research, and the use of available data. Richly developed examples of empirical research and an emphasis on the research process enable students to better understand the real-world application of research methods. The authors also offer a unique chapter (13) advocating a multiple-methods strategy.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePrefaceChapter 1: IntroductionWhy Study Research Methods?Methodological Approaches to the Social WorldChapter 2: The Nature of Science The Aim of Science Science as Product Science as Process Critiques of Scientific Inquiry SummaryPART I: RESEARCH DESIGN Chapter 3: Elements of Research Design Origins of Research Topics Units of Analysis Variables Relationships Formulating Questions and Hypotheses Research Purposes and Research Design Stages of Social Research SummaryChapter 4: Measurement The Measurement Process Operational Definitions in Social Research Levels of Measurement Reliability and Validity Reliability Assessment Validity Assessment A Final Note on Reliability and Validity SummaryChapter 5: Sampling Why Sample? Population Definition Sampling Designs Probability Sampling Nonprobability Sampling Other Sampling Designs Factors Affecting Choice of Sampling Design Factors Determining Sample Size Final Notes on Sampling Errors and Generalizability SummaryPART II: METHODS OF DATA COLLECTION Chapter 6: Experimentation The Logic of Experimentation Staging Experiments The Experiment as a Social Occasion Experimentation Outside the Laboratory SummaryChapter 7: Experimental Designs Threats to Internal Validity Pre-experimental Designs True Experimental Designs Factorial Experimental Designs Quasi-experimental Designs SummaryChapter 8: Survey Research General Features of Survey Research Survey Research Designs Steps in Survey Research: Planning Face-to-Face and Telephone Interviewing Paper-and-Pencil Questionnaires Computer-Assisted Self-Interviews Mixed-Mode Surveys Field Administration Strengths and Limitations of SurveysSummaryChapter 9: Survey Instrumentation The Survey as a Social Occasion Materials Available to the Survey Designer \"Sketches\" or Preliminaries Filling in the Sketch: Writing the Items Pretesting SummaryChapter 10: Field Research General Features of Field Research Stages of Field Research Strengths and Limitations of Field ResearchSummaryChapter 11: Research Using Available Data Sources of Available Data General Methodological Issues in Available-Data Research Historical Analysis Content Analysis Strengths and Limitations of Research Using Available DataSummaryChapter 12: Multiple Methods Triangulation Multiple Measures of Concepts within the Same Study Multiple Tests of Hypotheses across Different Studies A Comparison of the Four Basic Approaches to Social Research Meta-Analysis SummaryChapter 13: Evaluation Research Framework and Sample Studies Types of Evaluation Research Methodological Issues in Evaluation Research The Social and Political Context of Evaluation Research SummaryPART III: DATA PROCESSING, ANALYSIS, AND INTERPRETATIONChapter 14: Data Processing and Elementary Data Analysis Preview of Analysis Steps Data Processing Data Matrices and Documentation The Functions of Statistics in Social Research Inspecting and Modifying the Data Preliminary Hypothesis Testing SummaryChapter 15: Multivariate Analysis Modeling Relationships Elaboration: Tables and Beyond Multiple-Regression Analysis Other Modeling Techniques SummaryChapter 16: Research Ethics Data Collection and Analysis Treatment of Human Subjects Making Ethical Decisions Values in Social Research: Science and Society SummaryChapter 17: Writing Research Reports Searching the Literature Outlining and Preparing to Write Major Headings Revision and Other Considerations Publishing a Research PaperSummaryGlossary References Name Index Subject Index","brand":"Oxford University Press Inc","offers":[{"title":"Default Title","offer_id":48732540076375,"sku":"9780190635107","price":154.84,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780190635107.jpg?v=1791378651"},{"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":37.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780190921729.jpg?v=1719997379"},{"product_id":"why-public-space-matters-9780197543733","title":"Why Public Space Matters","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eBuilding on her groundbreaking earlier works, Low astutely describes public spaces as 'infrastructures of inclusion and exclusion,' where people, politics and place converge and connect, opening spaces for the negotiation and contestation of new public cultures. Focusing on contemporary issues such as racial injustice, climate change, socioeconomic and class inequality, she details ways that public space contributes to the flourishing of individuals, communities, cities and societies * Julian Agyeman, Professor of Urban and Environmental Policy and Planning, Tufts University *\u003cbr\u003eFrom social justice to ecological sustainability, decades of public space fieldwork are usefully summarized in the latest 'all things public space' from Setha Low. A must have for all students of urbanism. * Emily Talen, Professor of Urbanism, University of Chicago *\u003cbr\u003eMost people, when asked their favorite memory of a city, mention public space--a plaza or a boulevard or a beach. How is it then that we understand so little about the social dynamics of places; that the designers and managers of public space seem to have so little research to support their work? In this book Setha Low sets out to fill that void. Why Public Space Matters is essential reading for anyone involved in the design, management, programming or simply the enjoyment, of public space. * David Burney, Director, Urban Placemaking and Management, Pratt Institute *\u003cbr\u003eIn this brilliant and inspirational book, urban ethnographer Setha Low shows us why the stakes of debates about 'public space' in the 21st century could not be more serious and socially significant. In a world where we tend to either take public space for granted or express fear of the potential dangers they might hold, Low uses her nuanced theoretical lens and a variety of compelling ethnographic examples—from New York's Jones Beach and New Jersey's Lake Welch to Hudson Historical Park, Battery Park City after 9\/11, and a thoughtful analysis of how the pandemic impacted the use and sense of public space in New York City—to demonstrate that discussions about democracy and social justice should never underestimate the importance of public space for the very sustainability of human life. * John L. Jackson, Jr., Walter H. Annenberg Dean and Richard Perry University Professor, the University of Pennsylvania *\u003cbr\u003eLow maintains an accessible style throughout, suitable for general readers, but the material will appeal most to expert scholars and planners. Anyone interested in public spaces will enjoy this book. * Choice *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eList of Illustrations    Acknowledgements    Chapter 1. Why Does Public Space Matter?    Chapter 2. What is Public Space?    Chapter 3. What if Jones Beach Was Not Public: Social Justice and Belonging on Long Island, New York    Chapter 4. Rebuilding a Bridge and a Community: Health and Resilience at Walkway Over Hudson, Poughkeepsie, New York    Chapter 5. Playing in the Fields of Lake Welch, New Jersey    Chapter 6. Improvising Public Space and the Informal Economy: Sidewalks, Streets and Markets in Buenos Aires, New York City, and Baguio City    Chapter 7. Green Guerillas, Seed Bombs and Granite Gardens: Environmental Sustainability and Public Space in Paris and New York City    Chapter 8. Place attachment and Cultural Identity: Monuments, Parks and Neighborhood Public Space in San José, Costa Rica, and the Statue of Liberty and Battery Park City in New York City    Chapter 9. From the Winter of Despair to the Summer of Euphoria: Public Space During COVID-19 in New York City (2020-2021)    Chapter 10. How to Study Public Space: The Toolkit for the Ethnographic Study of Space (TESS) in Tompkins Square Park, Manhattan, New York City and Other Strategies    Appendices    Appendix 1. Contact, Public Culture and Affect Atmospheres: A Theoretical Framework    Notes    Index","brand":"Oxford University Press Inc","offers":[{"title":"Default Title","offer_id":48732647489879,"sku":"9780197543733","price":20.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780197543733.jpg?v=1719997789"},{"product_id":"in-a-bad-state-responding-to-state-and-local-budget-crises-9780197629154","title":"In a Bad State Responding to State and Local","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eDavid Schleicher is the ideal legal scholar of cities. Anyone who is worried about the fiscal future of our states and local governments should read his insightful new book. It is remarkably deep given how much fun it is to read, and it is remarkably fun to read given the seriousness of the topic. * Edward Glaeser, Fred and Eleanor Glimp Professor of Economics and Chairman of the Department of Economics, Harvard University *\u003cbr\u003eFaced with mounting Medicaid costs, footloose taxpayers, powerful public employees, and a nationalized political climate that rewards ideological grandstanding over basic competence, America's state governments have become fiscal basket cases. Confident that they'll be bailed out by the federal government at the first sign of economic distress, elected officials in state after state are choosing budget gimmickry over spending discipline, reaping political dividends all the while. But what happens when the bailout doesn't materialize, or isn't quite as generous as expected? Drawing on the history of federal responses to state fiscal disasters from the 1790s to the Covid pandemic, David Schleicher's In a Bad State offers a brilliant and engaging exposition of exactly why these fiscal reckonings have proven so painful in the past, and why the inevitable next one will be no exception. * Reihan Salam, Manhattan Institute *\u003cbr\u003eDavid Schleicher, the leading lawyer on state and city governments, has written an extraordinary book that describes with incredible clarity the complexity of the fiscal decisions that lie ahead for cities and states. It is well worth reading. * Richard Ravitch, Former Lt. Governor of New York and Chairman of the Metropolitan Transit Authority *\u003cbr\u003eDavid Schleicher, one of the most brilliant and far-ranging political thinkers of his generation, here takes on a very specific question: How federal governments should respond when state and local governments default. Schleicher's timely insight is that overspending is inextricable from the question of growth, and In a Bad State's deft history channels all the ways in which federalism has complicated and shaped the efforts to build a bigger and more modern country. The pragmatic question with which this gem-like policy book begins opens into a literary one: Of how existing legal and policy regimes might be bent in order to account for the future. * Benjamin Wallace-Wells, The New Yorker *\u003cbr\u003eHighly recommended for public finance professionals, scholars, attorneys, elected officials, and legislative staff. * Choice *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart I: Why Is It So Hard To Get Out of a Bad State? An Introduction to the Problem of State and Local Fiscal Crisis Introduction: Why It Is So Hard to Get Out of a Bad State Part II: When We've Been in a Bad State: The Theory and History of Federal Responses to State and Local Fiscal Crises Chapter 1: What Has Already Been Said About Federal Responses to State and Local Budget Crises? What Has Been Left Out? Chapter 2: State Debt Crises Through the 1840s Chapter 3: The Dual Debt Crises of the Post-Civil War Period Chapter 4:  State and Local Debt Crises in The Twentieth Century Chapter 5: The Great Recession and State and Local Fiscal Crises Chapter 6:  COVID-19, the CARES Act, the MLF, and the ARP Part III: Tools for Getting Out of a Bad State Chapter 7: Introduction to the Principles for Responding to State and Local Fiscal Crises Chapter 8: Building Better Bailouts Chapter 9: Building Better Defaults Chapter 10: Building Better Forms of State and Local Austerity Chapter 11: Resilience, or Building a Better Federal System Part IV: The Conclusion, Or Why States Are Often Bad Chapter 12: Why States Are Often Bad Notes  Index","brand":"Oxford University Press Inc","offers":[{"title":"Default Title","offer_id":48732662071639,"sku":"9780197629154","price":19.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780197629154.jpg?v=1719997846"},{"product_id":"innovation-in-real-places-9780197695173","title":"Innovation in Real Places","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e[A] compelling and timely book * Kevin Morgan, Regional Studies *\u003cbr\u003eWant to be an innovation hot spot? Don't copy Silicon Valley... we should remember what innovation is and why we care about it. The first part comes down to realising that innovation is not invention. * John Morgan, The Times Higher Education *\u003cbr\u003eThe abiding message of Breznitz's book is that it is a mistake to assume that \"what works in one time and one place will always work across time and space... a defense of experiments, mistakes, and the right to choose. * William H. Jeneway, Project Syndicate *\u003cbr\u003eIn this fascinating book, Breznitz, a professor at the Munk School at the University of Toronto, argues that innovation is 'the only way to ensure sustained long-term economic and human-welfare growth'. But, crucially, 'innovation is not invention, nor is it high-tech and the creation of new technology and gadgets\". It is \"the complete process of taking new ideas and devising new or improved products and services.' This Catholicism gives fascinating insights. * Martin Wolf, Financial Times *\u003cbr\u003eThis book provides valuable guidance for all governmental or business leaders who are trying to find sustainable solutions in the midst of turbulent circumstances. Technology provides enormous opportunities, but these will be realized only through excellent leadership and management. * Aho Esko, former Prime Minister of Finland *\u003cbr\u003eWriting a book with advice to local leaders on how to create innovative ecosystems, which are resistant to the centrifugal forces of globalization, was a brilliant idea. This book proves that a precisely structured narrative can be a powerful tool to communicate the results of excellent academic research. * Marek Belka, former Prime Minister of Poland; Head of the Central Bank of Poland *\u003cbr\u003eA must-read book for researchers, mayors, economic developers and all those concerned with building more innovative and inclusive places. Breznitz combines cutting-edge research on innovative clusters and ecosystems, with laser-like focus on what works and what does not. His book provides a much-needed reminder that Silicon Valley is the wrong model: Cities across the world must forged their own unique paths and strategies for innovation and prosperity. * Richard Florida, author of Rise of the Creative Class *\u003cbr\u003eBreznitz's brilliant research on innovation and growth strategies coupled with a meticulous focus on explaining what does is means in practical terms for local leaders, makes is a must read for anyone who cares about their community. A truly important book and a highly enjoyable read. * Thierry Mandon, Former Minister of Public Accounts and State Reform and Minister of Higher Education and Research, France *\u003cbr\u003eIn writing this highly engaging and accessible book, Breznitz has done an important public service. Readers interested in the future of innovation and prosperity will avail themselves of not only the most cutting-edge research, but also understand how it applies to their own community. Breznitz's provocative arguments against the Silicon Valley model and the Venture Capital Industry caused me to nod my head in agreement as the former Chief Scientist of Israel and wince in pain as an active Venture Capitalist at the same time. This's a tour de force and a must read for policy makers and concerned, but hopeful, citizens. * Avi Hasson, former Chief Scientist of the Ministry of Economy of the State of Israel *\u003cbr\u003eFinally, a book which is not only a masterful piece of research but is also extremely useful for policy makers. This very well written and superbly research book is a much-needed eye opener for the multiple opportunities that exist in our globalized world. * Victor Sánchez Urrutia, National Secretariat for Science, Technology and Innovation, Panama *\u003cbr\u003eDan Breznitz has written a terrific piece which has influenced my thinking about the varied and multifaceted approaches to innovation that we need dependent on place. * Ro Khanna, Member of Congress *\u003cbr\u003eThe 'problem with startup ecosystems' says Breznitz, 'is the assumption of homogeneity. They think about their whole population as potential founders of new companies.' They need to instead 'realize that people have experience and capacities at all ages, all backgrounds. What a 45-year-old needs to start a real company is completely different from what three 22-year-olds will need.'    This is exactly right-and something that I explore in my own book (if I can get it finished).\" * Dane Stangler, Forbes.com     *\u003cbr\u003eIt's what I think the doctor ordered as an exploration for some of the deep social tensions.\" ~Rob Johnson, president of the Institute for New Economic Thinking\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eAcknowledgments Introduction  Part I: The State of Innovation Chapter 1: The New Globalization of Innovation Chapter 2: The Silicon Peaches Chapter 3: Startups are Everywhere! (But The Growth Statistics) Chapter 4: Making America Great Again? Part II: Innovation and Prosperity Chapter 5: Four are Better Than One (But First, Let Us Plan It Strategically) Chapter 6: Singing and Designing--Incrementally--Innovation-Based Growth Chapter 7: Out With The Old, In With The New! But in What Ways? Chapter 8: Looking for Better Options: The Science of Innovation Policies and Agencies in a Globally Fragmented World Part III: The Three Dysfunctionals A Short Introduction to Part III Chapter 9: Our Anti-Intellectual Property Rights System Chapter 10: The Road to Hell is Paved with Good Intentions: The Age of Financialization Chapter 11: Data: Why Mining Us is the New Boom and For Whom Conclusion: In Defense of Experiments, Mistakes, and the Right to Choose  Index Bibliography","brand":"Oxford University Press Inc","offers":[{"title":"Default Title","offer_id":48732675539287,"sku":"9780197695173","price":15.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780197695173.jpg?v=1791378671"},{"product_id":"demographic-methods-and-concepts-9780198752639","title":"Demographic Methods and Concepts","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003ePresents the commonly needed techniques for working with population statistics, irrespective of the reader's mathematical background. This book provides concepts and strategies needed in the interpretation of demographic indices and data. It includes a CD-ROM containing integrated learning modules and applications facilitating demographic studies.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'A key feature of the text is a diskette that contains Microsoft Excel-based programs for illustrating and doing fundamental demographic calculations (life tables, growth rates, standardization, and so forth)...The book is a very good compendium of basic demography that clearly is based on the author's practical teaching experience. It has re-opened for me the possibility of successfully teaching demographic methods to students not primarily interested in population studies. I look forward to using it'. Population Studies, Vol.58, No.2, 2004, pp255-256.\u003cbr\u003e'Demographic Methods and Concepts is likely to have such a broader readership, since it is designed to serve also as a self-contained introduction and instructional manual on its subject. It is well written (enlivened with apt quotations from Graunt) and requires little mathematical backround. The graphics are excellent. Fully up-tp-date in terms of 'desktop demography, it has bibliographies that cater to the internet generation as well as to old-style page turners, numerous spreadsheet exercises, and an attached CD-ROM containing excel modules linked to the text'. Population and Development Review 2003.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eEACH CHAPTER CONTAINS STUDY RESOURCES INCLUDING GLOSSARY OF KEY TERMS, FURTHER READING, INTERNET RESOURCES, EXERCISES, AND SPREADSHEET EXERCISES; SECTION 1. POPULATION DYNAMICS; SECTION 2. ANALYTICAL APPROACHES; SECTION 3. VITAL PROCESSES; SECTION 4. DEMOGRAPHIC MODELS; SECTION 5. SPATIAL PATTERNS AND PROCESSES; SECTION 6. APPLIED DEMOGRAPHY; APPENDICES; A: BASIC MATHS; B: USING THE EXCEL MODULES; C: INTRODUCTION TO EXCEL; D: ANSWERS TO EXERCISES","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732777578839,"sku":"9780198752639","price":60.79,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780198752639.jpg?v=1719998356"},{"product_id":"engaged-scholarship-9780199226306","title":"Engaged Scholarship","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe relationship between theory and practice, research and action, is fundamental to all fields of applied social science. Should research findings and knowledge be useful for science, practice, and policy? If so, how should such research be designed, carried out and disseminated to achieve the twin goals of rigor and relevance?These challenges are particularly relevant in the applied areas of management and organization studies where there is a distinct responsibility for researchers to engage with the ''real world''. In this carefully crafted and thoughtful book, leading management researcher Andrew Van de Ven both presents the broad intellectual challenge of ''engaged scholarship'', and also sets out a clear framework and guidelines for carrying out soundly based and useful research for advancing both science and practice.At a time when some may question the value and status of academic knowledge; and others, contrastingly, urge a closer relationship between researchers and research\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eVan de Ven provides succinct, yet philosophically informed, summaries of alternative philosophical positions available to researchers. * Organization Studies *\u003cbr\u003e'Andy Van de Ven is internationally renowned for doing superbly crafted research that has made a difference in resolving societal problems. In this book, he teaches us all how to define problems, contribute to theory, offer resolutions, and communicate results in ways that transform the knowledge-practice gap, making it into a well-travelled two-way street. Experienced researchers will find much to learn in this sophisticated guide to bridging the knowledge-practice gap and students will make it their methodology bible. My copy is already littered with passages marked by underlinings, folded corners, and Post-it notes.' * Joanne Martin, Merrill Professor of Organizational Behavior, Emerita, Graduate School of Business, Stanford University *\u003cbr\u003e'This is another profound and practical piece of scholarship from Andrew van de Ven. He deserves credit for challenging the limitations of much current management research and for projecting a view of a more engaged and practical form of scholarship.' * Andrew M. Pettigrew, Professor of Strategy and Organisation, Said Business School, Oxford, UK *\u003cbr\u003e'For decades I've admired Andy's systematic application of the \"diamond model\" outlined in this book. Andy's impressive list of accomplishments, both as a scholar and as a trainer of scholars, speaks to why this is a long awaited field guide to what has become known as engaged scholarship. This book is a gold mine of practical, proven wisdom for anyone seeking to effectively bridge the realms of theory and practice. I suspect we are witnessing the birth of an organizational studies classic.' * David A. Whetten, Director, Brigham Young University Faculty Center *\u003cbr\u003eWithout both rigor and relevance, business schools and their faculty will loose institutional legitimacy. Engaged Scholarship is a call to action and clear pathway for scholars. Van de Ven provides an insightful set of ideas where scholars can learn from the phenomena in service of insightful research that, in turn, affects practice. This co-production of knowledge opens up fundamentally new way for scholars in professional schools to conduct their research. This book is a wonderful and important contribution. * Michael L. Tushman, Paul R. Lawrence MBA Class of 1942 Professor of Business Administration, Harvard Business School *\u003cbr\u003eProfessor Andy Van de Ven's (2007) tour de force provides a method of engaged scholarship for studying complex social problems that often exceed our individual skills to examine on our own. Engaged Scholarship is a participative form of research... Van de Ven (2007) is a landmark publication that offers potential for a paradigm shift (Kuhn, 1970) moving from reductionism (Pfeffer, 1993) and towards theoretical and methodological pluralism. It persuasively offers engaged scholarship as a better way than the current status quo of creating knowledge for social science and practice. * Joseph T. Mahoney *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Engaged Scholarship in a Professional School ; 2. Philosophy of Science Underlying Engaged Scholarship ; 3. Formulating the Research Problem ; 4. Building a Theory ; 5. Process and Variance Models ; 6. Designing Variance Studies ; 7. Designing Process Studies ; 8. Communicating and Using Research Knowledge ; 9. Practicing Engaged Scholarship","brand":"Oxford University Press","offers":[{"title":"Default Title","offer_id":48732836135255,"sku":"9780199226306","price":50.35,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780199226306.jpg?v=1719998605"},{"product_id":"the-principles-and-practice-of-narrative-medicine-9780199360192","title":"The Principles and Practice of Narrative Medicine","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eNarrative medicine is a fresh discipline of health care that helps patients and health professionals to tell and listen to the complex and unique stories of illness. The Principles and Practice of Narrative Medicine expresses the collective experience and discoveries of the originators of the field. Arising at Columbia University in 2000 from roots in the humanities and patient-centered care, narrative medicine draws patients, doctors, nurses, therapists, and health activists together to re-imagine a health care based on trust and trustworthiness, humility, and mutual recognition.Over a decade of education and research has crystallized the goals and methods of narrative medicine, leading to increasingly powerful means to improve the care that patients receive. The methods described in this book harness creativity and insight to help the professionals in being with patients, not just to diagnose and treat them but tobear witness to what they undergo. Narrative medicine training in literary theory, philosophy, narrative ethics, and the creative arts increases clinicians'' capacity to perceive the turmoil and suffering borne by patients and to help them to cohere or endure the chaos of illness.Narrative medicine has achieved an international reputation and reach. Many health care settings adopt methods of narrative medicine in teaching and practice. Through the Master of Science in Narrative Medicine graduate program and health professions school curricula at Columbia University, more and more clinicians and scholars have obtained the rigorous training necessary to practice and teach narrative medicine. This text is offered to all who seek the opportunity for disciplined training in narrative medicine. By clearly articulating our principles and practice, this book provides the standards of the field for those who want to join us in seeking authenticity, recognition, affiliation, and justice in a narrative health care.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eAcknowledgments  Introduction   Part I: Intersubjectivity Chapter 1. Accounts of Self: Exploring Relationality through Literature Maura Spiegel and Danielle Spencer         Introduction         Self-Telling: Colm Tóibín and the Need to Tell         Monologue and Dialogue: Dostoevsky and Bakhtin         Recognition in Bechdel's Fun Home: Thickening the Story         Identification and Refusal in Kazou Ishiguro's Never Let Me Go         Conclusion  Chapter 2. This Is What We Do, and These Things Happen: Experience, Emotion, and Relationality In The Classroom Maura Spiegel and Danielle Spencer         Socio-relational dynamics and medical education         The Narrative Medicine Classroom \/ Workshop         Conclusion    Part II: Dualism, Personhood, and Embodiment  Chapter 3: Dualism and its Discontents I: Philosophy, Literature, and Medicine  Craig Irvine and Danielle Spencer         \"Hi. How are you feeling today?\": Tales of Alienation in Healthcare         Biomedicine in recent history         The Cave and the Machine: Philosophical Roots of Dualism     Chapter 4: Dualism and its Discontents II: Philosophical Tinctures Craig Irvine and Danielle Spencer         Philosophical Tinctures: Phenomenology and Narrative Hermeneutics         Philosophical Narratives: Complexity and Multiplicity         Soul     Chapter 5: Deliver us from Certainty: Training for Narrative Ethics Craig Irvine and Rita Charon        Narrative Ethics of Reading         Narrative Ethics of Clinical Practice         Ethics of Narrative Medicine     Part III: Identities in Pedagogy  Chapter 6: The Politics of Pedagogy: Cripping, Queering and Un-homing Health Humanities Sayantani DasGupta         Introduction          Crip Politics and the Medicalization of Health Humanities         Queer Politics and the Problems of Intelligibility         Un-Homing Narrative Medicine: Pedagogical Frames          Conclusion     Part IV: Close Reading  Chapter 7: Close Reading: The Signature Method of Narrative Medicine Rita Charon            The Origin and Fate of Close Reading          Why Narrative Medicine Is Committed to Close Reading          Close Reading and Its Progeny, Attentive Listening          The Interior Processes of Close Reading          Close Reading Enacts the Principles of Narrative Medicine          Coda     Chapter 8: A Framework for Teaching Close Reading  Rita Charon   One Way to Teach Close Reading          Choosing Texts and Creating Prompts          Time          Space          Voice          Metaphor          Conclusions and Room for Further Thought     Part V: Creativity Chapter 9: Creativity: What, Why, and Where?  Nellie Hermann           Creativity in Our Everyday Lives           What is Creative Writing for, particularly in the clinical context?           Forms and Dividends of Creative Writing           Creative Writing and Reflective Writing     Chapter 10: Can Creativity be Taught?  Nellie Hermann           Strategies for Writing in the Health Professions           A Teaching Tool: The Reading Guide for Reflective Writing           The Approach to the Writing Student           Finally: focus on the creative spark     Part VI: Qualitative Ways of Knowing  Chapter 11: The Ethnographic Field: Narrative, Visual, Contextual Edgar Rivera Colón           Narrative Prelude           Demystifying Qualitative Research Methods           An Embodied, Reflexive Practice           Making the world visible            The Ethnographic Witness        Part VI: Clinical Practice  Chapter 12: A Narrative Transformation of Health and Health Care  Eric Marcus and Rita Charon           RC Tells the Clinical Story           EM: Concepts-Transference and Transitional Space           RC: Concepts-Creativity, Reflexivity, Reciprocity           Coda     Chapter 13: Clinical Contributions of Narrative Medicine  Rita Charon           Individual Interview\/Relationship Techniques           Clinician and Health Care Team Development           Novel Narrative Practices           Clinicians See     Author Biographies  Bibliography  Index","brand":"Oxford University Press Inc","offers":[{"title":"Default Title","offer_id":48732841771351,"sku":"9780199360192","price":67.45,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780199360192.jpg?v=1719998629"},{"product_id":"redesigning-social-inquiry-fuzzy-sets-and-beyond-9780226702735","title":"Redesigning Social Inquiry  Fuzzy Sets and Beyond","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eOffers a critique of the standard approach to social research - namely, assessing the relative importance of causal variables drawn from competing theories. This book proposes the use of set-theoretic methods to find a middle path between quantitative and qualitative research.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"Redesigning Social Inquiry is aimed at social scientists looking to escape the banality of everyday quantitative research, and here they'll find a sophisticated way out of all the by-the-numbers work. But this book also speaks to those of us who have a profound knowledge of cases and want to explore the implications of this understanding. With this rigorous yet accessible book, Charles Ragin has completed his mission to reorient social science.\" - Edwin Amenta, University of California, Irvine\"","brand":"The University of Chicago Press","offers":[{"title":"Default Title","offer_id":48732916089175,"sku":"9780226702735","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780226702735.jpg?v=1719998936"},{"product_id":"moral-minefields-how-sociologists-debate-good-science-9780226828183","title":"Moral Minefields How Sociologists Debate Good","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"Important. . . We live in an era in which scholarly debates, inside and outside the classroom, are increasingly viewed through a moral or political lens. As Dromi and Stabler quite rightly maintain, we must navigate through a scholarly landscape strewn with moral land mines.\" * Inside Higher Ed *\u003cbr\u003e\"This book makes a significant contribution to sociology with its well-supported thesis that explains how sociologists can engage in heated debate about their research. . . . Highly recommended.\" * Choice *\u003cbr\u003e“\u003ci\u003eMoral Minefields\u003c\/i\u003e offers an explosion of insight into how to approach the seemingly always politically charged project of conducting sociological research. Throughout its history, the discipline has stood between commitments to scientific inquiry and the pursuit of truth, and commitments to addressing social inequality, socio-economic disadvantage, and other moral concerns. Rather than try to resolve the push and pull emanating from both sides of this divide, readers are guided to think more critically and carefully about what constitutes the pursuit of good research that is indelibly tied to visions—either by the sociologists producing their work or the audiences receiving it—of morally sound research. Dromi and Stabler seek not to resolve the tension, but rather expose readers to sociology’s courageous embracing of it and, therefore, guide readers to think more effectively about how it can be managed going forward.” -- Alford Young, Jr., University of Michigan\u003cbr\u003e“Dromi and Stabler skillfully puncture a stalled debate between the value-free and deliberately activist camps of contemporary sociology, showing how scholars within our methodologically and substantively diverse field form judgments about what counts as ‘good research.’ Weaving together a range of powerful examples—from secularism to breastfeeding, cosmopolitanism, and racial inequality—their framework of moral repertoires shines new light on the field. Equally valuable to both the seasoned sociologist and the young researcher.” -- Jenny Trinitapoli, University of Chicago\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface: Eternity in Cincinnati\u003cbr\u003e Introduction: Rules of the Road\u003cbr\u003e 1: Navigating in a Minefield\u003cbr\u003e Moral Repertoires and Sociological Research\u003cbr\u003e 2: Academic No-Go Zones\u003cbr\u003e On Social-Gene Interactions, Cultures of Poverty, and Forbidden Knowledge Claims in Sociology\u003cbr\u003e 3: Moral Highways and Byways\u003cbr\u003e Connecting New Critiques with Old Insights in the Study of Nationalism\u003cbr\u003e 4: Chartered Trips\u003cbr\u003e Remapping Controversy and the Renewal of Research on the Family\u003cbr\u003e Conclusion: On Moral Grounds\u003cbr\u003e Afterword: Researching the Good in Research Justifications\u003cbr\u003e Acknowledgments\u003cbr\u003e Notes\u003cbr\u003e Bibliography\u003cbr\u003e Index","brand":"The University of Chicago Press","offers":[{"title":"Default Title","offer_id":48732931621207,"sku":"9780226828183","price":20.9,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780226828183.jpg?v=1719999001"},{"product_id":"postmodern-social-work-reflective-practice-and-education-9780231128001","title":"Postmodern Social Work Reflective Practice and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eKen Moffatt turns to postmodern philosophy's grappling with late capitalism and the omnipresence of technology in order to develop a new approach to reflective social work practice and critical pedagogy. He attempts to reconcile postmodern thinkers with the realities of teaching social work to diverse student populations in a precarious era.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eKen Moffatt has successfully provided a new take on how postmodern thinking influences the core areas of social work education. Essential to rethinking and redesigning syllabi and pedagogy, this book will function as a refreshing framework from which to revisit new curricula. All social work educators, new and experienced, will find this book invaluable. -- Janis Fook, author of \u003ci\u003eSocial Work: A Critical Approach to Practice\u003c\/i\u003e\u003cbr\u003e\u003ci\u003ePostmodern Social Work\u003c\/i\u003e responds to the challenges of co-creating social work practice and education. Moffatt provides an intellectually rigorous and accessible approach to social work for the precarious times in which we live. Drawing on critical and feminist postmodern perspectives, Moffatt proposes new ways we can promote openness to the marginalized other and to multiple forms of knowing. The book offers renewed hope for reflective and creative forms of critical social work education and practice. -- Karen Healy, author of \u003ci\u003eSocial Work Theories in Context: Creating Frameworks for Practice\u003c\/i\u003e\u003cbr\u003e\u003ci\u003ePostmodern Social Work\u003c\/i\u003e offers a valuable perspective on social work teaching and education. In today’s multifaceted, global environment, the ability to think critically and complexly is essential to productive social work. Integrating postmodern concepts with reflective practice, Ken Moffatt provides an alternative pedagogy that embraces these challenges. Both new and veteran educators—and their students—can benefit from the ideas discussed in this book. -- Stanley Witkin, author of \u003ci\u003eTransforming Social Work: Social Constructionist Reflections on Contemporary and Enduring Issues\u003c\/i\u003e\u003cbr\u003eIn this insightful book, Moffatt deploys his magical touch again, transforming ordinary experience into extraordinary unforgettable learning – the hallmark of a brilliant educator. Here’s a unique take on the many creative ways social work engages postmodern concepts and an invitation to vulnerability where Moffatt models self-reflection as ongoing critical engagement. -- Martha Kuwee Kumsa, Wilfrid Laurier University\u003cbr\u003e\u003ci\u003ePostmodern Social Work\u003c\/i\u003e straddles the areas of critical pedagogy and social work, offering a method for teaching in a manner that examines the academic climate, which is being so negatively impacted by neoliberalism and managerialism. -- Laura Béres, author of \u003ci\u003eThe Narrative Practitioner\u003c\/i\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eAcknowledgments\u003cbr\u003eIntroduction\u003cbr\u003e1. Discourse in the Context of Precariousness\u003cbr\u003e2. Reflective Social Work Practice: The Social and the Self\u003cbr\u003e3. Reflective Practice as a Form of Consciousness\u003cbr\u003e4. The Social Work Classroom as a Play of Dynamic Elements\u003cbr\u003e5. The Dispossessed Self\u003cbr\u003e6. Arts-Based Reflection\u003cbr\u003e7. Reflective Postmodern Social Work in the Context of Precariousness\u003cbr\u003eWorks Cited\u003cbr\u003eIndex","brand":"Columbia University Press","offers":[{"title":"Default Title","offer_id":48732953313623,"sku":"9780231128001","price":70.4,"currency_code":"GBP","in_stock":false}]},{"product_id":"the-art-of-statistics-9780241258767","title":"The Art of Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003e''A statistical national treasure'' Jeremy Vine, BBC Radio 2\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003e''Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force\u003c\/b\u003e'' \u003ci\u003ePopular Science\u003c\/i\u003e\u003cbr\u003e\u003cbr\u003eDo busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? \u003cb\u003eDavid Spiegelhalter \u003c\/b\u003ereveals the answers to these and many other questions - questions that can only be addressed using statistical science.\u003cbr\u003e\u003cbr\u003eStatistics has played a leading role in our scientific understanding of the world for centuries, yet \u003cb\u003ewe are all familiar with the way statistical claims can be sensationalised\u003c\/b\u003e, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of \u003cb\u003estatistical literacy is more important than ever\u003c\/b\u003e. \u003cbr\u003e\u003cbr\u003eIn \u003ci\u003eThe Art of Statistics\u003c\/i\u003e, \u003cb\u003eDavid Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data.\u003c\/b\u003e Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. \u003cbr\u003e\u003cbr\u003e\u003cb\u003e''Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world'' \u003c\/b\u003e\u003ci\u003e\u003cb\u003eNature\u003c\/b\u003e\u003c\/i\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eDavid Spiegelhalter is probably the greatest living statistical communicator; more than that, he's one of the great communicators in any field. \u003cb\u003eThis marvellous book will transform your relationship with the numbers that swirl all around us. Read it and learn.\u003c\/b\u003e -- Tim Harford\u003cbr\u003e\u003cb\u003eThere is something in here for everyone\u003c\/b\u003e ... A call to arms for greater societal data literacy ... Spiegelhalter's work serves as a reminder that there are passionate, self-aware statisticians who can \u003cb\u003eargue eloquently that\u003c\/b\u003e \u003cb\u003etheir discipline is needed now more than ever\u003c\/b\u003e. * Financial Times *\u003cbr\u003e\u003cb\u003eShines a light on how we can use the ever-growing deluge of data to improve our understanding of the world\u003c\/b\u003e . . . \u003ci\u003eThe Art of Statistics\u003c\/i\u003e will serve students well. And it will be a boon for journalists eager to use statistics responsibly - along with anyone who wants to approach research and its reportage with healthy scepticism. * Nature *\u003cbr\u003eWhat David Spiegelhalter does here is provide a \u003cb\u003every thorough introductory grounding\u003c\/b\u003e in statistics without making use of mathematical formulae. And it's \u003cb\u003eremarkable\u003c\/b\u003e. Spiegelhalter is \u003cb\u003ewarm \u003c\/b\u003eand \u003cb\u003eencouraging\u003c\/b\u003e - it's a genuinely enjoyable read ... This book \u003cb\u003eshould be required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics\u003c\/b\u003e. A\u003cb\u003e tour de force\u003c\/b\u003e. * Popular Science *\u003cbr\u003e\u003ci\u003eThe Art of Statistics\u003c\/i\u003e is in the \u003cb\u003egreat educational tradition\u003c\/b\u003e of its publishing imprint, Pelican Books: an attempt to get everyone up to speed with the practical uses of statistics, without pages of terrifying equations or Greek letters. In a series of \u003cb\u003espry, airy chapters, he succeeds fabulously\u003c\/b\u003e ...  Lucid and readable. In an age of scientific clickbait, 'big data' and personalised medicine,\u003cb\u003e this is a book that nearly everyone would benefit from reading\u003c\/b\u003e. * Spectator *\u003cbr\u003eImportant and comprehensive -- Hannah Fry * New Yorker *\u003cbr\u003eThis is an \u003cb\u003eexcellent \u003c\/b\u003ebook. Spiegelhalter is \u003cb\u003egreat at explaining\u003c\/b\u003e difficult ideas . . . Yes, statistics can be difficult. But much less difficult if you read this book. * Evening Standard *\u003cbr\u003eLike the fictional investigator Sherlock Holmes, Spiegelhalter\u003cb\u003e takes readers on a trail to challenge methodology and stats thrown at us by the media and others\u003c\/b\u003e. But where other authors have attempted this and failed, he is \u003cb\u003einventive and clever\u003c\/b\u003e in picking the right examples that spark the reader's interest to become active on their own. * Engineering and Technology *\u003cbr\u003eDo you trust headlines telling you . . . that bacon, ham and sausages carry the same cancer risk as cigarettes? No, nor do I. That is why \u003cb\u003ewe need a book like this\u003c\/b\u003e that explains how such implausible nonsense arises in the first place. Written by a\u003cb\u003e master of the subject \u003c\/b\u003e. . . this book \u003cb\u003etells us to examine our assumptions. Bravo.\u003c\/b\u003e * Standpoint *","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":48732979855703,"sku":"9780241258767","price":10.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780241258767.jpg?v=1719999145"},{"product_id":"covid-by-numbers-9780241547731","title":"Covid By Numbers","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003e''I couldn''t imagine a better guidebook for making sense of a tragic and momentous time in our lives. \u003ci\u003eCovid by Numbers \u003c\/i\u003eis comprehensive yet concise, impeccably clear and always humane'' Tim Harford\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eHow many people have died because of COVID-19? Which countries have been hit hardest by the virus? What are the benefits and harms of different vaccines?  How does COVID-19 compare to the Spanish flu? How have the lockdown measures affected the economy, mental health and crime?\u003cbr\u003e\u003cbr\u003eThis year we have been bombarded by statistics - seven day rolling averages, rates of infection, excess deaths. Never have numbers been more central to our national conversation, and never has it been more important that we think about them clearly. In the media and in their \u003ci\u003eObserver\u003c\/i\u003e column, Professor Sir David Spiegelhalter and RSS Statistical Ambassador Anthony Masters have interpreted these statistics, offering a vital public service by giving us the tools we need to make sens\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eA \u003cb\u003eclear and extremely readable\u003c\/b\u003e guided tour of the pandemic... This book represents \u003cb\u003ean extremely timely contribution\u003c\/b\u003e... If journalists, politicians and the public were all provided with a copy then the debate would be vastly better informed, with much more light than heat\u003c\/p\u003e -- Oliver Johnson * Guardian *\u003cbr\u003eCuts through the noise and disinformation about the pandemic... In single well-evidenced sentences [Spiegelhalter] and Masters can pronounce on months-long conflicts... \u003cb\u003eReading it, it feels as though there are adults in the room \u003c\/b\u003e -- Tom Whipple * The Times *\u003cbr\u003eFascinating -- Jeremy Vine\u003cbr\u003e\u003cp\u003eA valuable overview of COVID-19 statistics and how to navigate them. Rather than just quoting numbers, Spiegelhalter and Masters discuss how to think about epidemic data... No doubt many books will be written on the COVID-19 pandemic... But if they want to get the statistics straight, their authors may want to read \u003ci\u003eCovid by Numbers \u003c\/i\u003efirst\u003c\/p\u003e -- Adam Kucharski * Lancet *\u003cbr\u003eI couldn't imagine a better guidebook for making sense of a tragic and momentous time in our lives. \u003ci\u003eCovid by Numbers \u003c\/i\u003eis \u003cb\u003ecomprehensive yet concise, impeccably clear and always humane\u003c\/b\u003e -- Tim Harford, author of How To Make The World Add Up\u003cbr\u003eA clear, concise statistical journal of the plague year. If you want to understand the numbers behind the virus that stopped the world, \u003cb\u003eyou ought to read this book\u003c\/b\u003e -- Tom Chivers, author of The Rationalists\u003cbr\u003eFantastic and wonderfully readable. \u003cb\u003eA much needed antidote to the often murky and misinterpreted world of Covid data\u003c\/b\u003e, explained in a straightforward and clear way - yet always remembering the humanity the data represents -- Dr Hannah Fry","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":48733214703959,"sku":"9780241547731","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780241547731.jpg?v=1719999706"},{"product_id":"a-field-guide-to-lies-and-statistics-9780241974872","title":"A Field Guide to Lies and Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eA guide to critical thinking in the ''post-truth'' era, from the author of \u003ci\u003eSunday Times\u003c\/i\u003e best-seller \u003ci\u003eThe Organized Mind\u003c\/i\u003e\u003c\/b\u003e \u003cbr\u003e\u003cbr\u003eWe live in a world of information overload. 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[Levitin] does a terrific job of illustrating the difference between the two with precision and delightful good humour -- Charles Wheelan, author of Naked Economics\u003cbr\u003eDeservedly a bestseller -- Independent on 'The Organized Mind'\u003cbr\u003eSmart, important, exquisitely written -- Daniel Gilbert on 'The Organized Mind'\u003cbr\u003e\u003ci\u003eThe Organized Mind\u003c\/i\u003e is the perfect antidote to the effects of information overload. Loved it. -- Scott Turow, New York Times bestselling author of 'Identical' and 'Innocent' on 'The Organized Mind'\u003cbr\u003e\u003cb\u003eDaniel Levitin's field guide is a critical thinking primer for our shrill, data-drenched age.\u003c\/b\u003e From the way averages befuddle to the logical fallacies that sneak by us, \u003cb\u003eevery page is enlightening\u003c\/b\u003e -- Charles Duhigg, author of The Power of Habit and Smarter, Faster, Better\u003cbr\u003eValuable tools for anyone willing to evaluate claims and get to the truth of the matter * Kirkus Reviews *\u003cbr\u003eAs a lucid guide to critical thinking about statistics, information and assertion it is profoundly welcome * Observer *","brand":"Penguin Books Ltd","offers":[{"title":"Default Title","offer_id":48733416358231,"sku":"9780241974872","price":10.44,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780241974872.jpg?v=1720000018"},{"product_id":"transmissions-critical-tactics-for-making-and-communicating-research-the-mit-press-9780262043403","title":"Transmissions Critical Tactics for Making and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eResearchers rethink tactics for inventing and disseminating research, examining the use of such unconventional forms as poetry, performance, catalogs, interactive machines, costume, and digital platforms.\u003c\/b\u003e\u003cp\u003eTransmission is the research moment when invention meets dissemination—the tactical combination of making (how theory, methods, and data shape research) and communicating (how research is shown and shared). In this book, researchers from a range of disciplines examine tactics for the transmission of research, exploring such unconventional forms as poetry, performance, catalogs, interactive machines, costume, and digital platforms. Focusing on transmissions draws attention to a critical part of the research process commonly overlooked and undervalued. Too often, the results of radically experimental research methodologies are pressed into conventional formats. The contributors to \u003ci\u003eTransmissions\u003c\/i\u003e rethink tactics for making and communicating resear\u003c\/p\u003e","brand":"MIT Press Ltd","offers":[{"title":"Default Title","offer_id":48733452370263,"sku":"9780262043403","price":33.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780262043403.jpg?v=1720000131"},{"product_id":"statistical-consulting-9780387988634","title":"Statistical Consulting","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eI The Methodology of Statistical Consulting.- 1 Introduction to Statistical Consulting.- 2 Communication.- 3 Methodological Aspects.- 4 A Consulting Project from A to Z.- II Case Studies.- 5 Introduction to the Case Studies.- 6 Case Studies from Group I.- 7 Case Studies from Group II.- 8 Case Studies from Group III.- 9 Additional Case Studies.- A Resources.- A.1 References.- A.2 Datasets for Case Studies in Part II.- A.3 Statistical Consulting Course.- A.3.1 Course Description.- A.3.2 List of Topics by Week.- A.3.3 Reference List.- B Statistical Software.- B.1 SAS.- B.1.1 The SAS Setup.- B.1.2 Details on the DATA Step.- B.1.3 SAS Procedures.- B.1.4 Further Details of SAS.- B.2 S-PLUS.- B.2.1 S-PLUS Preliminaries.- B.2.2 The S-PLUS Setup.- B.2.3 Basic S-PLUS Commands.- B.2.4 Efficient Use of S-PLUS.- B.2.5 S-PLUS Statistical Procedures.- B.2.6 S-PLUS Glossary.- C Statistical Addendum.- C.1 Univariate Distributions.- C.2 Multivariate Distributions.- C.3 Statistical Tests.- C.4 Sample Siz\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eFrom the reviews:\u003c\/p\u003e \u003cp\u003eTHE AMERICAN STATISTICIAN\u003c\/p\u003e \u003cp\u003e\"Although there are other books that effectively tackle the individual aspects described above, this book seems to be the most ideally suited to teaching a well-rounded statistics course at the undergraduate of graduate level…[It] gives informative and self-contained discussions for the many aspects of consulting in balanced proportions that would make using the book for a textbook delightfully straightforward. The collection of case studies is diverse in disciplines considered and level of difficulty, and seems to focus on interesting problems that students will find highly motivating…a valuable resource for statistical consultants, both beginning and established…a prime candidate for use as a stand-alone textbook…since it contains a desirable balance of materials with statistical methodology, oral and written communication skills, and rich case studies…It will make a solid long-term reference for students. Also, for instructors of more traditional senior undergraduate and junior graduate courses, it provides useful case studies to illustrate standard methods in realistic settings that can easily be implemented.\"\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction to Statistical Consulting * Communication * Methodological Aspects * A Consulting Project from A to Z * Introduction to Case Studies * Case Studies from Group I * Case Studies from Group II * Case Studies from Group III * Additional Case Studies","brand":"Springer-Verlag New York Inc.","offers":[{"title":"Default Title","offer_id":48733728244055,"sku":"9780387988634","price":89.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780387988634.jpg?v=1720001411"},{"product_id":"data-analysis-using-regression-and-multilevelhierarchical-models-9780521686891","title":"Data Analysis Using Regression and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eData Analysis Using Regression and Multilevel\/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. It introduces and demonstrates a variety of models and instructs the reader in how to fit these models using freely available software packages.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'Data Analysis Using Regression and Multilevel\/Hierarchical Models' … careful yet mathematically accessible style is generously illustrated with examples and graphical displays, making it ideal for either classroom use or self-study. It appears destined to adorn the shelves of a great many applied statisticians and social scientists for years to come.'  Brad Carlin, University of Minnesota\u003cbr\u003e'Gelman and Hill have written what may be the first truly modern book on modeling. Containing practical as well as methodological insights into both Bayesian and traditional approaches, Data Analysis Using Regression and Multilevel\/Hierarchical Models provides useful guidance into the process of building and evaluating models. For the social scientist and other applied statisticians interested in linear and logistic regression, causal inference, and hierarchical models, it should prove invaluable either as a classroom text or as an addition to the research bookshelf.' Richard De Veaux, Williams College\u003cbr\u003e'The theme of Gelman and Hill's engaging and nontechnical introduction to statistical modeling is 'Be flexible'. Using a broad array of examples written in R and WinBugs, the authors illustrate the many ways in which readers can build more flexibility into their predictive and causal models. This hands-on textbook is sure to become a popular choice in applied regression courses.' Donald Green, Yale University\u003cbr\u003e'Simply put, Data Analysis Using Regression and Multilevel\/Hierarchical Models is the best place to learn how to do serious empirical research. Gelman and Hill have written a much needed book that is sophisticated about research design without being technical. Data Analysis Using Regression and Multilevel\/Hierarchical Models is destined to be a classic!' Alex Tabarrok, George Mason University\u003cbr\u003e'… a detailed, carefully written exposition of the modelling challenge, using numerous convincing examples, and always paying careful attention to the practical aspects of modelling. I recommend it very warmly.' Journal of Applied Statistics\u003cbr\u003e'Data Analysis Using Regression and Multilevel\/Hierarchical Models is the book I wish I had in graduate school. … The text is an obvious candidate for use in courses or course modules on multilevel modeling, especially in Part 2. Beyond that, where should it be used? Instructors of first-year graduate methods courses should consider complementing their texts with material from Part 1. Many use Kennedy's A Guide to Econometrics (2003) to provide an alternative take in the essentials. Data Analysis is better suited for taking on this role. Students will find its coverage less redundant of what they get from standard texts, and the use of non-economics based examples should also help sell quantitative research to skeptical incomers into the profession.' The Political Methodologist\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Why?; 2. Concepts and methods from basic probability and statistics; Part I. A. Single-Level Regression: 3. Linear regression: the basics; 4. Linear regression: before and after fitting the model; 5. Logistic regression; 6. Generalized linear models; Part I. B. Working with Regression Inferences: 7. Simulation of probability models and statistical inferences; 8. Simulation for checking statistical procedures and model fits; 9. Causal inference using regression on the treatment variable; 10. Causal inference using more advanced models; Part II. A. Multilevel Regression: 11. Multilevel structures; 12. Multilevel linear models: the basics; 13. Multilevel linear models: varying slopes, non-nested models and other complexities; 14. Multilevel logistic regression; 15. Multilevel generalized linear models; Part II. B. Fitting Multilevel Models: 16. Multilevel modeling in bugs and R: the basics; 17. Fitting multilevel linear and generalized linear models in bugs and R; 18. Likelihood and Bayesian inference and computation; 19. Debugging and speeding convergence; Part III. From Data Collection to Model Understanding to Model Checking: 20. Sample size and power calculations; 21. Understanding and summarizing the fitted models; 22. Analysis of variance; 23. Causal inference using multilevel models; 24. Model checking and comparison; 25. Missing data imputation; Appendixes: A. Six quick tips to improve your regression modeling; B. Statistical graphics for research and presentation; C. Software; References.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48733857841495,"sku":"9780521686891","price":60.1,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780521686891.jpg?v=1791463172"},{"product_id":"social-science-concepts-and-measurement-9780691205489","title":"Social Science Concepts and Measurement","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e","brand":"Princeton University Press","offers":[{"title":"Default Title","offer_id":48736000573783,"sku":"9780691205489","price":31.5,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780691205489.jpg?v=1723810442"},{"product_id":"approaches-to-social-enquiry-9780745634494","title":"Approaches to Social Enquiry","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eSince its initial publication, this highly respected book has provided students with a much needed critical review of the major research paradigms in the social sciences and the logics or strategies of enquiry associated with them.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"Literature on the philosophy of social science often seems aloof from the practical wrangling over theoretical and methodological issues directing social research. Books attempting to bridge this gap are rare, so much credit is due Blaikie for providing one.\"\u003cbr\u003e \u003cp\u003e\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003e\u003ci\u003eSociological Research Online\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"The repertoire of social research grows wider by the day. Substantive topics multiply, the technical apparatus mushrooms, paradigms proliferate and clash. And the potential for confusion in the beginner’s mind grows apace. Norman Blaikie’s \u003ci\u003eApproaches to Social Enquiry\u003c\/i\u003e has always been the most trustworthy student guide through the methodological quagmire, and this new edition confirms his reputation as the supreme explicator of social inquiry.\"\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003eRay Pawson, \u003ci\u003eUniversity of Leeds\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e\"Norman Blaikie's book is an accessible, clear, and reliable introduction for the social research student to the extraordinarily complex set of issues and decisions in which the practicing researcher necessarily becomes entangled. This is an exceptional book, especially for its sympathetic presentation of positions and its wide range.\"\u003cbr\u003e \u003c\/p\u003e \u003cp\u003e\u003cb\u003eStephen Turner, \u003ci\u003eUniversity of South Florida\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eList of Figures and Tables\u003c\/p\u003e \u003cp\u003ePreface to the First Edition\u003c\/p\u003e \u003cp\u003ePreface to the Second Edition\u003c\/p\u003e \u003cp\u003eINTRODUCTION\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 MAJOR CHOICES IN SOCIAL ENQUIRY\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction\u003c\/p\u003e \u003cp\u003eResearch Problem\u003c\/p\u003e \u003cp\u003eResearch Questions\u003c\/p\u003e \u003cp\u003eResearch Strategies\u003c\/p\u003e \u003cp\u003eResearcher’s Stance\u003c\/p\u003e \u003cp\u003eResearch Paradigms\u003c\/p\u003e \u003cp\u003eThe Status of Knowledge\u003c\/p\u003e \u003cp\u003eResearch Paradigms and Research Strategies\u003c\/p\u003e \u003cp\u003eChapter Summary\u003c\/p\u003e \u003cp\u003eFurther Reading\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 MAJOR DILEMMAS IN SOCIAL ENQUIRY\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction\u003c\/p\u003e \u003cp\u003eScience and Social Science\u003c\/p\u003e \u003cp\u003eMajor Dilemmas\u003c\/p\u003e \u003cp\u003eThe Postmodern Turn\u003c\/p\u003e \u003cp\u003eChapter Summary\u003c\/p\u003e \u003cp\u003eFurther Reading\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 ADVANCING KNOWLEDGE USING FOUR RESEARCH STRATEGIES\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction\u003c\/p\u003e \u003cp\u003eStyles of Reasoning\u003c\/p\u003e \u003cp\u003eThe Inductive Research Strategy\u003c\/p\u003e \u003cp\u003eThe Deductive Research Strategy\u003c\/p\u003e \u003cp\u003eCombining the Inductive and Deductive Strategies\u003c\/p\u003e \u003cp\u003eThe Abductive Research Strategy\u003c\/p\u003e \u003cp\u003eCombining Retroductive and Abductive Strategies\u003c\/p\u003e \u003cp\u003eChapter Summary\u003c\/p\u003e \u003cp\u003eFurther Reading\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 CLASSICAL RESEARCH PARADIGMS\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction\u003c\/p\u003e \u003cp\u003ePositivism\u003c\/p\u003e \u003cp\u003eCritical Rationalism\u003c\/p\u003e \u003cp\u003eClassical Hermeneutics\u003c\/p\u003e \u003cp\u003eInterpretivism\u003c\/p\u003e \u003cp\u003eChapter Summary\u003c\/p\u003e \u003cp\u003eFurther Reading\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 CONTEMPORARY RESEARCH PARADIGMS\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction\u003c\/p\u003e \u003cp\u003eCritical Theory\u003c\/p\u003e \u003cp\u003eEthnomethodology\u003c\/p\u003e \u003cp\u003eSocial Realism\u003c\/p\u003e \u003cp\u003eContemporary Hermeneutics\u003c\/p\u003e \u003cp\u003eStructuration Theory\u003c\/p\u003e \u003cp\u003eFeminism\u003c\/p\u003e \u003cp\u003eChapter Summary\u003c\/p\u003e \u003cp\u003eFurther Reading\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 REVIEW AND CRITIQUE OF THE RESEARCH PARADIGMS\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction\u003c\/p\u003e \u003cp\u003eResearch Paradigms Revisited: Ontology and Epistemology\u003c\/p\u003e \u003cp\u003eCritique of the Research Paradigms\u003c\/p\u003e \u003cp\u003eReview of Some Major Dilemmas\u003c\/p\u003e \u003cp\u003eAssociation between Research Strategies Research Paradigms\u003c\/p\u003e \u003cp\u003eConclusion\u003c\/p\u003e \u003cp\u003eFurther Reading\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePOSTSCRIPT: THE COMPLEXITY TURN\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eIntroduction\u003c\/p\u003e \u003cp\u003eOrigins\u003c\/p\u003e \u003cp\u003eCharacteristics of Complex Systems\u003c\/p\u003e \u003cp\u003eKey Ideas\u003c\/p\u003e \u003cp\u003eThe Reality of the Complex\u003c\/p\u003e \u003cp\u003eComplexity and Postmodernism\u003c\/p\u003e \u003cp\u003eComplexity and Research\u003c\/p\u003e \u003cp\u003eConclusion\u003c\/p\u003e \u003cp\u003e\u003cb\u003eREFERENCES\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eNotes\u003c\/p\u003e \u003cp\u003eFigures and Tables\u003c\/p\u003e","brand":"John Wiley and Sons Ltd","offers":[{"title":"Default Title","offer_id":48736480821591,"sku":"9780745634494","price":23.74,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780745634494.jpg?v=1723810671"},{"product_id":"the-foundations-of-social-research-9780761961062","title":"The Foundations of Social Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eChoosing a research method can be bewildering. This book links methodology and theory with clarity and precision, showing students and researchers how to navigate the maze of conflicting terminology.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eChoosing a research method can be bewildering. How can you be sure which methodology is appropriate, or whether your chosen combination of methods is consistent with the theoretical perspective you want to take? This book links methodology and theory with great clarity and precision, showing students and researchers how to navigate the maze of conflicting terminology.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eIntroduction Positivism    The March of Science Constructionism    The Making of Meaning Interpretivism    For and against Culture Interpretivism    The Way of Hermeneutics Critical Inquiry    The Marxist Heritage Critical Inquiry    Contemporary Critics and Contemporary Critique Feminism    Re-Visioning the Man-Made World Postmodernism    Crisis of Confidence or Moment of Truth? Conclusion","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48737185038679,"sku":"9780761961062","price":38.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780761961062.jpg?v=1723811039"},{"product_id":"social-science-experiments-9781009186964","title":"Social Science Experiments","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThis book is designed for an undergraduate, one-semester course in experimental research, primarily targeting programs in sociology, political science, environmental studies, psychology, and communications. Aimed at those with limited technical background, this introduction to social science experiments takes a practical, hands-on approach. After explaining key features of experimental designs, Green takes students through exercises designed to build appreciation for the nuances of design, implementation, analysis, and interpretation. Using applications and statistical examples from many social science fields, the textbook illustrates the breadth of what may be learned through experimental inquiry. A chapter devoted to research ethics introduces broader ethical considerations, including research transparency. The culminating chapter prepares readers for their own social science experiments, offering examples of studies that can be conducted ethically, inexpensively, and quickly. Replic\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Experiments as fair tests; 2. Key terms; 3. Conducting a practice experiment (not involving human subjects); 4. A tour of social science experiments; 5. Research ethics and experiments involving human subjects; 6. Conducting your own experiment involving human subjects; 7. Doing more with data.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738010071383,"sku":"9781009186964","price":28.47,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781009186964.jpg?v=1791468905"},{"product_id":"settheoretic-multimethod-research-9781009307147","title":"SetTheoretic MultiMethod Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eA comprehensive introduction to combining Qualitative Comparative Analysis (QCA) and case studies using R software. With its practical focus, this book facilitates the efficient and independent learning of SMMR (set-theoretic multi-method research) for students, researchers, and practitioners in the social sciences.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'Carsten Schneider has forgotten more about set-theoretic methods than you and I can ever hope to know. This book is the one you need if you are an (applied) researcher, looking to combine cross-case inferences and within-case analysis. It's so insightful you better not put it on the shelf but on your desk.' Bart Cambré, Professor Business Research Methods, Antwerp Management School and University of Antwerp\u003cbr\u003e'Combining QCA and case study tools has long been emphasized for stronger causal inference, but Carsten Schneider's book takes it to another level by developing a comprehensive approach for just how to do it right. Well-argued and chock full of insight, with many empirical illustrations, it makes a compelling case for multi-method research. I consider it required reading for anyone working in the comparative perspective.' Peer C. Fiss, Jill and Frank Fertitta Chair in Business Administration, University of Southern California Marshall School of Business\u003cbr\u003e'This long awaited volume is a must-read for anyone striving to build on the respective strengths of QCA and case-based work. It enables the fruitful bridging of cross-case and within-case analysis by providing both a robust conceptual framework and technically precise protocols.' Benoît Rihoux, Full Professor, University of Louvain (UCLouvain), Belgium\u003cbr\u003e'This much awaited book is an essential, incredibly useful resource for all scholars who seek to take cases seriously and improve their descriptive and causal inferences using set-theoretic methods in a systematic, rigorous, yet intuitive way. Seemingly effortlessly, Schneider takes case-oriented set-theoretic methodology to the next level while putting practice centerstage, so that the book is both cutting-edge and accessible, and speaks to readers with basic or advanced knowledge of set-theoretic methods.' Eva Thomann, University of Konstanz\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface; 1. Introduction: SMMR in a nutshell; 2. Basics of SMMR; 3. Disjunctions; 4. Conjunctions; 5. INUS conditions; 6. Necessary conditions; 7. Conclusions and outlook; Appendix: Principles; Glossary.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738029830487,"sku":"9781009307147","price":70.0,"currency_code":"GBP","in_stock":true}]},{"product_id":"sequence-analysis-9781071801888","title":"Sequence Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eSequence analysis (SA) was developed to study social processes that unfold over time as sequences of events. It has gained increasing attention as the availability of longitudinal data made it possible to address sequence-oriented questions. This volume introduces the basics of SA to guide practitioners and support instructors through the basic workflow of sequence analysis. In addition to the basics, this book outlines recent advances and innovations in SA.\u003c\/p\u003e  \u003cp\u003eThe presentation of statistical, substantive, and theoretical foundations is enriched by examples to help the reader understand the repercussions of specific analytical choices. The extensive ancillary material supports self-learning based on real-world survey data and research questions from the field of life course research. \u003c\/p\u003e  Data and code and a variety of additional resources to enrich the use of this book are available on an accompanying website.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis book provides a comprehensive and updated introduction to sequence analysis, I highly recommend it for anyone who wants to learn the topic systematically. -- Tim F. Liao\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eSeries Editor’s Introduction Acknowledgments Preface About the Authors Chapter 1. Introduction    1.1 Sequence Analysis in the Social Sciences    1.2 Organization of the Book    1.3 Software, Data, and Companion Webpage Chapter 2: Describing and Visualizing Sequences    2.1 Basic Concepts and Terminology    2.1 Basic Concepts and Terminology    2.3 Description of Sequence Data I: The Basics    2.4 Visualization of Sequences    2.5 Description of Sequences II: Assessing Sequence Chapter 3: Comparing Sequences    3.1 Dissimilarity Measures to Compare Sequences    3.2 Alignment Techniques    3.3 Alignment-Based Extensions of OM    3.4 Nonalignment Techniques    3.5 Comparing Dissimilarity Matrices    3.6 Comparing Sequences of Different Length    3.7 Beyond the Standard Full-Sample Pairwise Sequence Comparison Chapter 4: Identifying Groups in Data: Analyses Based On Dissimilarities Between Sequences    4.1 Clustering Sequences to Uncover Typologies    4.2 Illustrative Application    4.3 “Construct Validity” for Typologies From Cluster Analysis to Sequences    4.4 Using Typologies as Dependent and Independent Variables in a Regression Framework Chapter 5: Multidimensional Sequence Analysis    5.1 Accounting for Simultaneous Temporal Processes    5.2 Expanding the Alphabet: Combining Multiple Channels Into a Single Alphabet    5.3 Cross-Tabulation of Groups Identified From Different Dissimilarity Matrices    5.4 Combining Domain-Specific Dissimilarities    5.5 Multichannel Sequence Analysis Chapter 6: Examining Group Differences Without Cluster Analysis    6.1 Comparing Within-Group Discrepancies    6.2 Measuring Associations Between Sequences and Covariates    6.3 Statistical Implicative Analysis Chapter 7: Combining Sequence Analysis With Other Explanatory Methods    7.1 The Rationale Behind the Combination of Stochastic and Algorithmic Analytical Tools    7.2 Competing Trajectories Analysis    7.3 Sequence Analysis Multistate Model Procedure    7.4 Combining SA and (Propensity Score) Matching Chapter 8: Conclusions    8.1 Summary of Recommendations: An Extended Checklist    8.2 Achievements, Unresolved Issues, and Ongoing Innovation References","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738194456919,"sku":"9781071801888","price":32.29,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071801888.jpg?v=1791469530"},{"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":113.21,"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":"interviewing-9781071815717","title":"Interviewing","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis book provides guidance to researchers about how to develop interview skills that align with their theoretical assumptions. Connecting theory and method can be challenging for novice researchers. \u003cstrong\u003eInterviewing: A Guide to Theory and Practice\u003c\/strong\u003e draws from, and extends, the author's earlier 2010 book, and focuses on three interrelated issues, how researchers: theorize research interviews; examine their subject positions in relation to projects and participants; and explore the details of interview interaction to inform practice. By developing these understandings of qualitative interview practice, Kathryn Roulston shows how researchers can design and conduct quality research projects that draw on a wide range of interview practices to provide audience members and communities with significant findings concerning social problems.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eAcknowledgments About the Author Introduction    Background    A Proposal for Advancing the Practice of Qualitative Interviewing    Theories of Interviewing    Theorizing the Researcher    Examining the Construction of Interview Interaction    Learning About Qualitative Interviewing    Outline of the Book Chapter 1 • Asking Questions and Individual Interviews    Types of Interviews    Questions and Answers    Structure and Interview Talk    Interviews Used in Qualitative Research    Conclusion    Further Reading    Practice Chapter 2 • Joint and Group Interviews    Joint Interviews    Formats for Working With Groups    Focus Groups    Designing a Study Using Focus Groups    Developing Questions and Topic Guides    Managing Focus Group Interaction    Analyzing Focus Group Interaction    Conclusion    Further Reading    Practice Chapter 3 • Theorizing the Qualitative Interview    A Neo-Positivist Conception of the Interview    A Romantic Conception of the Interview    A Constructionist Conception of the Interview    A Postmodern Conception of the Interview    A Transformative Conception of the Interview    A Decolonizing Conception of the Interview    Conclusion    Further Reading    Practice Chapter 4 • Post Qualitative Inquiry and Interviewing    Beyond Conventional Approaches to Inquiry    Interviewing and Post Qualitative Inquiry    What Issues Have Scholars Addressed?    Implications of Post Qualitative Inquiry for Interview Research    Conclusion    Further Reading    Practice Chapter 5 • Designing Studies That Use Interviews    Identifying a Topic    Formulating Research Questions    Using Research Interviews to Address Research Questions    Selection and Sampling    Demonstrating Quality in the Research Process    Aligning Methods With Theoretical Assumptions    Addressing Quality in a Neo-Positivist Conception of Interviewing    Addressing Quality in a Romantic Conception of Interviewing    Addressing Quality in a Constructionist Conception of Interviewing    Addressing Quality in a Postmodern Conception of Interviewing    Addressing Quality in a Transformative Conception of Interviewing    Addressing Quality in a Decolonizing Conception of Interviewing    Addressing Quality in Post Qualitative Inquiry Using Interviews    Designing Research Studies Using Interviews    Conclusion    Further Reading    Practice Chapter 6 • Conducting Interview Research    Consent for the Study    Recruiting Participants    Scheduling Interviews    Other Modes of Communication for Interviews    Special Populations    Preparing to Interview    Recording the Interview    Conducting Interviews    Working With Translated Data    Transcribing Interviews    Conclusion    Further Reading    Practice Chapter 7 • Theorizing the Researcher: The Reflective Interviewer    “Bias” and Research    Reflexivity in Qualitative Research    Beyond Reflexivity    Subjectivity and Qualitative Research    Subjectivity Statements    Researcher Journals    Interviewing the Researcher    Analyzing the Interviewer’s Work    Conclusion    Further Reading    Practice Chapter 8 • Examining the Construction of Interview Interaction    Initial Principles    Asking Questions of Transcriptions    Epistemics and Interviewing    Other Issues That Might Be Examined    Conclusion    Further Reading    Practice Chapter 9 • Analyzing and Representing Interview Data    Qualitative Data Analysis and Reasoning    Thematic Analysis    Grounded Theory Approaches to Analysis    Ethnographic Analysis    Phenomenological Approaches to Analysis    Approaches to the Analysis of Narrative    Ethnomethodological Analysis    Post Approaches to Analysis    The Arts and Performative Approaches to Representation    Conclusion    Further Reading    Practice Chapter 10 • Accounts of Interviewing Practice    Interviews With Interviewers    What We Can Learn From Other Interviewers    Qualitative Researchers’ Accounts of Their Interview Practice    Comparing Interviewing Outside the Academy to Interviewing for Academic Purposes    Advice From Qualitative Interviewers    Further Information    Further Reading    Practice Epilogue: Final Thoughts: Learning How to Interview Appendix 1. Transcription Conventions Appendix 2. Terms Used in Conversation Analysis Appendix 3. Teaching Resources References","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738200748375,"sku":"9781071815717","price":55.1,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071815717.jpg?v=1791469531"},{"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=1791469531"},{"product_id":"a-mathematical-primer-for-social-statistics-9781071833209","title":"A Mathematical Primer for Social Statistics","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e\u003cem\u003eA Mathematical Primer for Social Statistics\u003c\/em\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cem\u003e, Second Edition\u003c\/em\u003e\u003c\/strong\u003e presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic language of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian statistics. A companion website includes materials that enable readers to use the R statistical comp\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eAbout the Author Series Editor Introduction Acknowledgments Preface Matrices, Linear Algebra, and Vector Geometry: The Basics Matrix Decompositions and Quadratic Forms An Introduction to Calculus Elementary Probability Theory Common Probability Distributions An Introduction to Statistical Theory Putting the Math to Work: Linear Least-Squares Regression References Index\u003c\/p\u003e","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738204942679,"sku":"9781071833209","price":32.29,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071833209.jpg?v=1791469532"},{"product_id":"a-concise-introduction-to-mixed-methods-research-international-student-edition-9781071840962","title":"A Concise Introduction to Mixed Methods Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eFor students and researchers new to mixed methods,\u003cem\u003eA Concise Introduction to Mixed Methods Research\u003c\/em\u003e2e by renowned author John W. 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. Get started in mixed methods quickly with this brief primer.","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738207564119,"sku":"9781071840962","price":38.83,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071840962.jpg?v=1791378857"},{"product_id":"practical-multilevel-modeling-using-r-9781071846124","title":"Practical Multilevel Modeling Using R","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cstrong\u003ePractical Multilevel Modeling Using R\u003c\/strong\u003e provides students with a step-by-step guide for running their own multilevel analyses. Detailed examples illustrate the conceptual and statistical issues that multilevel modeling addresses in a way that is clear and relevant to students in applied disciplines. Clearly annotated R syntax illustrates how multilevel modeling (MLM) can be used, and real-world examples show why and how modeling decisions can affect results. The book covers all the basics but also important advanced topics such as diagnostics, detecting and handling heteroscedasticity, power analysis, and missing data handling methods. Unlike other detailed texts on MLM which are written at a very high level, this text with its applied focus and use of R software to run the analyses is much more suitable for students who have substantive research areas but are not training to be methodologists or statisticians. Each chapter concludes with a Test Yourself section, and sol\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eA major strength of this book is its accessibility. Huang effortlessly bridges the divide between the sometimes-abstruse literature on advanced statistics and the needs of applied researchers who lack extensive quantitative training. The result is an approachable text that covers all the basics, but also does not shy away from important advanced topics such as diagnostics, detecting and handling heteroscedasticity, and missing data handling methods. This book would make not only a useful guide to the application of multilevel modeling, but could also serve as an excellent companion text for a course on multilevel modeling. -- Kristopher J. Preacher\u003cbr\u003eThis book is an excellent book for a graduate level multilevel modeling course that utilizes R; it perfectly combines the depth and breadth on this topic. -- Wei Wang\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1\tIntroduction 2\tThe unconditional means model 3\tAdding predictors to a random intercepts model 4\tInvestigating cross-level interactions and random slope models 5\tUnderstanding growth models 6\tCentering in multilevel models 7\tMultilevel modeling diagnostics 8\tMultilevel logistic regression models 9\tModeling data structures with three (or more) levels 10\tMissing data in multilevel models 11\tBasic power analyses for multilevel models 12\tAlternatives to multilevel models","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738210316631,"sku":"9781071846124","price":72.2,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071846124.jpg?v=1791469534"},{"product_id":"the-sage-handbook-of-qualitative-research-9781071836743","title":"The SAGE Handbook of Qualitative Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eThis new edition of the \u003cstrong\u003eSAGE Handbook of Qualitative Research\u003c\/strong\u003e\u003cem\u003e \u003c\/em\u003erepresents the sixth generation of the ongoing conversation about the discipline, practice, and conduct of qualitative inquiry. As with earlier editions, the \u003cstrong\u003eSixth Edition\u003c\/strong\u003eis virtually a new volume, with 27 of the 34 chapters representing new topics or approaches not seen in the previous edition, including intersectionality; critical disability research; postcolonial and decolonized knowledge; diffraction and intra-action; social media methodologies; thematic analysis, collaborative inquiry from the borderlands; qualitative inquiry and public health science; co-production and the politics of impact; publishing qualitative research; and academic survival.Authors in the Sixth Edition engage with questions of ontology and epistemology, the politics of the research act, the changing landscape of higher education, and the role qualitative researchers play in contributing to a more just, egalitarian society.\u003c\/p\u003e  \u003cp\u003e To mark the Handbook's 30-year history, we are pleased to offer a bonus PART VI in the eBook versions of the Sixth Edition: this additional section brings together and reprints ten of the most famous or game-changing contributions from the previous five editions. 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":121.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071836743.jpg?v=1723811823"},{"product_id":"narrative-as-topic-and-method-in-social-research-9781071851661","title":"Narrative as Topic and Method in Social Research","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eNarrative research is an increasingly popular qualitative method across the social sciences. This book has two purposes: firstly to show students and researchers how to do research on narrative \u003cem\u003etopics\u003c\/em\u003e, particularly on questions about narrative productions of meaning, and secondly to explain some fundamentals of research \u003cem\u003emethods\u003c\/em\u003e suitable for exploring these topics. A final part of the book provides empirical examples of how such research is done. These chapters use small amounts of data to examine the analytic tasks of designing research questions, finding appropriate data, sampling decisions, contextualization, data categorization, and communicating study findings.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart I: Narrative as Research Topic Chapter 1:  Conceptualizing Narrative for Social Research Chapter 2: Empirical Questions About Narrative Part II: Narrative as Research Method Chapter 3:  Narrative Research Foundations Chapter 4:  Narrative Research Practices Part III: Narrative Research Practice Chapter 5:  The Story Character of the “Deserving Poor” Chapter 6:  The Story of the “American Dream” Chapter 7:  The Story Character of the “Dreamer”","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738211889495,"sku":"9781071851661","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071851661.jpg?v=1791469535"},{"product_id":"research-and-evaluation-in-education-and-psychology-9781071853801","title":"Research and Evaluation in Education and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eIdentify, evaluate, and practice good research using \u003cstrong\u003e\u003cem\u003eResearch and Evaluation in Education and Psychology: Integrating Diversity With Quantitative, Qualitative, and Mixed Methods\u003c\/em\u003e\u003c\/strong\u003e by renowned scholar Donna M. Mertens. This introductory research methods text incorporates the viewpoints of various research paradigms into its descriptions of qualitative, quantitative, and mixed methods as well as program evaluation. The work covers five major paradigms: post-positivist, constructivist, transformative, pragmatic, and Indigenous. Special emphasis on conducting research with culturally complex communities, based on the perspectives of feminists, ethnic\/racial minorities, and people with disabilities is a hallmark of this text.  In each chapter, the author carefully explains each step of the research process, from the literature review to analysis and reporting. Additionally, each chapter includes a published sample study and abstract to illustrate the concepts discuss\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"Mertens′s \u003cstrong\u003e\u003cem\u003eResearch and Evaluation\u003c\/em\u003e\u003c\/strong\u003e text is a well-rounded textbook that students enjoy reading because the ideas are presented in such a way that they connect to each student′s area of study. If you want your students to read the chapter, this is the research methods book for your class.\" -- Karen H. Larwin\u003cbr\u003e\"A methods text grounded in research that describes in detail the history behind different methodologies and their historical underpinnings. It has a wide range of study samples to help students make sense of the content.\" -- Erin M. Ramirez\u003cbr\u003e\"Good survey text for research methods\" -- Sawyer Hunley\u003cbr\u003e\"A very good and resourceful book for training scientist-practitioners in the mental health profession.\" -- Allen Appiah-Boateng\u003cbr\u003e\"This is a solid master′s level introductory textbook that addresses the material that helping professionals need to be able to work in the field and to be able to evaluate and consume current research.\" -- Brenda Gerhardt\u003cbr\u003e\"This book provides many good examples\/research studies that can be used in classroom discussions.\" -- Chia-Lin Tsai\u003cbr\u003e\"The author does an excellent job utilizing various features (e.g., charts, tables, checklists, ′extending your thinking,′ textbox, critical questions, research and evaluation examples) that facilitate reader learning, engagement, critical reflection on gained knowledge and various aspects of the research process, commitment to quality and ethics in research, and willingness to make connections and extend one′s thinking. It is well-written and organized, concise, and straightforward.\" -- Elena Yu. Polush\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1 • A Brief History of Research: Paradigms, Ethical Practice, and Contested Territory Chapter 2 • Evaluation Chapter 3 • Focusing the Research: Literature Review and Community Engagement Chapter 4 • Experimental and Quasi-Experimental Research Chapter 5 • Causal Comparative and Correlational Approaches Chapter 6 • Survey Methods Chapter 7 • Single-Case Research Chapter 8 • Qualitative Research and Action Research Chapter 9 • History, Narrative Inquiry, and Autoethnography Chapter 10 • Mixed Methods Research Chapter 11 • Sampling Chapter 12 • Data Collection Chapter 13 • Data Analysis, Interpretation, and Use","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738212479319,"sku":"9781071853801","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071853801.jpg?v=1723811824"},{"product_id":"longitudinal-network-models-9781071857731","title":"Longitudinal Network Models","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eAlthough longitudinal social network data are increasingly collected, there are few guides on how to navigate the range of available tools for longitudinal network analysis. The applied social scientist is left to wonder: Which model is most appropriate for my data? How should I get started with this modeling strategy? And how do I know if my model is any good? This book answers these questions. Author Scott Duxbury assumes that the reader is familiar with network measurement, description, and notation, and is versed in regression analysis, but is likely unfamiliar with statistical network methods. The goal of the book is to guide readers towards choosing, applying, assessing, and interpreting a longitudinal network model, and each chapter is organized with a specific data structure or research question in mind. A companion website includes data and R code to replicate the examples in the book.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eA brilliant ′how to′ for modelling dynamic network data. An exquisite balance of model intuition, assumptions and practical advice, accessible to all network \/ data scientists. -- Alexander John Bond\u003cbr\u003eThis is a very timely book that provides critical skills for conducting explanatory analysis of longitudinal social network data. Both beginners, and advanced analysts can benefit from reading this book as it provides many real life examples, illustrating computational processes, interpreting results, and even furnishing R codes. For those who aspire to learn advanced topics in analyzing longitudinal social network data, this is a must-have book. -- Song Yang\u003cbr\u003eThis book presents the state-of-art of longitudinal network analysis. It is comprehensive while staying concise, well structured, and clearly written. Definitely a moneyball in the field! -- Weihua An\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eChapter 1. Introduction Chapter 2: Temporal Exponential Random Graph Models Chapter 3: Stochastic Actor-oriented Models Chapter 4: Modeling Relational Event Data Chapter 5: Network Influence Models Chapter 6: Conclusion","brand":"SAGE Publications Inc","offers":[{"title":"Default Title","offer_id":48738214510935,"sku":"9781071857731","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781071857731.jpg?v=1791469535"},{"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":"statistical-survey-design-and-evaluating-impact-9781107146457","title":"Statistical Survey Design and Evaluating Impact","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eStatistical designs, sample surveys and evaluation designs are fundamental tools for solving queries related to population parameters and the effects of public programs and policies. This book explores the concepts of effective sampling and evaluation techniques in a cohesive and concise manner. Sampling design techniques, including simple random sampling, stratified sampling, systematic sampling and cluster sampling, are presented in detail. These techniques play a vital role when choosing an appropriate sample survey design. The concepts of multistage design, non-sampling errors and evaluation techniques including before-after design, one-time treatment and control design are discussed extensively. The book focuses on different methods of estimation, including multiple regression analysis and logistic regression. It covers the issue of bias in a design, the source of such bias and ways to overcome it. Clear guidelines with remedial measures are outlined to facilitate choosing a suita\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface; Acknowledgements; Foreword Fred Arnold; List of tables; List of figures; 1. Introduction to sample survey designs; 2. Basic sampling designs; 3. Multi-stage designs; 4. Probability sampling under imperfect frame; 5. Tackling non-sampling errors; 6. Introduction to evaluation design; 7. Designs for causal effects: setting comparison groups; 8. Designs for causal effects: allocation of study units; 9. Statistical tests for measuring impact; 10. Case studies; References; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738242068823,"sku":"9781107146457","price":55.09,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781107146457.jpg?v=1723811853"},{"product_id":"integrated-inferences-9781107169623","title":"Integrated Inferences","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eIntroduces a Bayesian approach to the use of causal models to design and carry out qualitative and mixed-methods research. Addressed to researchers across the social sciences, this book shows how causal models allow us to combine extensive and intensive data strategies to answer both general and case-specific causal questions.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'An ambitious attempt to leverage the strengths of qualitative and quantitative social scientific approaches by embedding them within a Bayesian framework, this book will give economists, political scientists, and other researchers a lot to chew on for years to come.' Andrew Gelman, Columbia University\u003cbr\u003e'This study will become required reading for researchers seeking to answer causal questions in the social sciences. Humphreys and Jacobs provide a framework that helps researchers assess the relative contribution of different pieces of evidence - either qualitative or quantitative - in answering causal questions.' Isabela Mares, Yale University\u003cbr\u003e'Many books aspire to be useful to both qualitative and quantitative researchers, but few succeed as well as this novel approach to integrating case-level and population-level evidence to make causal inferences. Starting from a focus on causal models, Integrated Inferences explains how to use Bayesian logic to update models based on evidence, and how to select cases and collect data to further probe those models on particular causal questions. In short, it turns the model-dependence of inferences from a bug into a feature. An extremely valuable addition to graduate research methods courses.' Andrew Bennett, Georgetown University\u003cbr\u003e'With this illuminating book, Humphreys and Jacobs expand their pioneering approach to multi-method research, combining the Bayesian foundations of Lindley and Savage, the scaffolding of Neyman, Rubin, and Holland's causal reasoning, and the flexible architecture of Pearl and Glymour's DAG models. Social science scholars will find an engaging and accessible exposition and synthesis of ideas that are otherwise scattered across a sometimes daunting literature in statistics, computer science, philosophy, and political science.' Tasha Fairfield, London School of Economics and Andrew Charman, University of California, Berkeley\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Introduction; I. Foundations: 2. Causal models; 3. Illustrating causal models; 4. Causal queries; 5. Bayesian answers; 6. Theories as causal models; II. Model-based causal inference: 7. Process tracing with causal models; 8. Process tracing applications; 9. Integrated inferences; 10. Integrated inferences applications; 11. Mixing models; III. Design choices: 12. Clue selection as a decision problem; 13. Case selection; 14. Going wide, going deep; IV. Models in question: 15. Justifying models; 16. Evaluating models; 17. Final words; V. Appendices: 18. Causal Queries; 19. Glossary; Bibliography; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738246426967,"sku":"9781107169623","price":90.0,"currency_code":"GBP","in_stock":true}]},{"product_id":"counterfactuals-and-causal-inference-methods-and-principles-for-social-research-analytical-methods-for-social-research-9781107694163","title":"Counterfactuals and Causal Inference Methods And","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eCause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'The use of counterfactuals for causal inference has brought clarity to our reasoning about causality. And this second edition by Morgan and Winship will bring clarity to anyone trying to learn about the field. It is an excellent introduction to the topic, and a fine place to begin learning causal inference.' Tyler J. VanderWeele, Harvard University, Massachusetts\u003cbr\u003e'This improved edition of Morgan and Winship's book elevates traditional social sciences, including economics, education and political science, from a hopeless flirtation with regression to a solid science of causal interpretation, based on two foundational pillars: counterfactuals and causal graphs. A must for anyone seeking an understanding of the modern tools of causal analysis, and a must for anyone expecting science to secure explanations, not merely descriptions.' Judea Pearl, University of California, Los Angeles\u003cbr\u003e'More has been learned about causal inference in the last few decades than the sum total of everything that had been learned about it in all prior recorded history. The first comprehensive survey of the modern causal inference literature was the first edition of Morgan and Winship. Now with the second edition of this successful book comes the most up-to-date treatment.' Gary King, Harvard University, Massachusetts\u003cbr\u003e'The second edition of Counterfactuals and Causal Inference should be part of the personal library of any social scientist who is engaged in quantitative research. For those with a copy of the first edition, purchase of the second edition is indeed well worth the investment.' Peter Messeri, Canadian Studies in Population\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart I. Causality and Empirical Research in the Social Sciences: 1. Introduction; Part II. Counterfactuals, Potential Outcomes, and Causal Graphs: 2. Counterfactuals and the potential-outcome model; 3. Causal graphs; Part III. Estimating Causal Effects by Conditioning on Observed Variables to Block Backdoor Paths: 4. Models of causal exposure and identification criteria for conditioning estimators; 5. Matching estimators of causal effects; 6. Regression estimators of causal effects; 7. Weighted regression estimators of causal effects; Part IV. Estimating Causal Effects When Backdoor Conditioning Is Ineffective: 8. Self-selection, heterogeneity, and causal graphs; 9. Instrumental-variable estimators of causal effects; 10. Mechanisms and causal explanation; 11. Repeated observations and the estimation of causal effects; Part V. Estimation When Causal Effects Are Not Point Identified by Observables: 12. Distributional assumptions, set identification, and sensitivity analysis; Part VI. Conclusions: 13. Counterfactuals and the future of empirical research in observational social science.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738277785943,"sku":"9781107694163","price":34.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781107694163.jpg?v=1723811885"},{"product_id":"personal-networks-9781108813914","title":"Personal Networks","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eSocial networks are ubiquitous. The science of networks has shaped how researchers and society understand the spread of disease, the precursors of loneliness, the rise of protest movements, the causes of social inequality, the influence of social media, and much more. Egocentric analysis conceives of each individual, or ego, as embedded in a personal network of alters, a community partially of their creation and nearly unique to them, whose composition and structure have consequences. This volume is dedicated to understanding the history, present, and future of egocentric social network analysis. The text brings together the most important, classic articles foundational to the field with new perspectives to form a comprehensive volume ideal for courses in network analysis. The collection examines where the field of egocentric research has been, what it has uncovered, and where it is headed.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'Much of the world thinks in terms of village-like groups and individuals, when in reality they're operating in social networks. That's why the Covid-19 virus spreads so quickly. Few people live in tight bubbles – they maneuver among overlapping partial networks of friends, family, neighbors, schools, and work. This myth-busting book is a masterpiece – brilliantly showing the impact of personal networks in our lives. Its unique format shows the path-breaking development of the network perspective – by linking classic readings and current research into community, cognition, culture, social capital, social movements, work, inequality, and social media.' Barry Wellman, FRSC\u003cbr\u003e'Personal Networks is an exemplary collection and a signal contribution to the field of social network analysis. The introduction provides both an overview for the novice and a synthesis that will interest even veteran network scholars. The classic works are impeccably chosen, with astute excerpting for undergraduate syllabi and substantial and definitive commentaries by leading contemporary authors. More recent classics are equally well chosen – I assign almost all of them in my graduate or undergraduate classes – and the extensive and engaging commentaries, in most cases by the original authors, represent valuable overviews in their own right. The papers in the final section likewise add value by reviewing research and developing theory on central fields of sociology to which the study of personal networks contributes. Personal Networks not only aggregates the main ideas in its area, it integrates them, defining a field and a research agenda. It will be an indispensable resource for anyone teaching a graduate or undergraduate course in social network analysis, a one-stop shopping experience for graduate students taking exams in this field, and a source of insight for any scholar working in this area.' Paul DiMaggio, NYU\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePart I. Background; Introduction; Part II. Early Foundations; 1. From Simmel, 'On the Significance of Numbers for Social Life: Introduction,' 'The Isolated Individual and the Dyad,' 'The Triad,' and The Web of Group Affiliations: Commentary, 'Georg Simmel's Contribution to Social Network Research'; 2. From Katz and Lazarsfeld, Personal Influence: Commentary, 'Influencers, Backfire Effects and the Power of the Periphery'; 3. From Mitchell, 'The Concept and Use of Social Networks': Commentary, 'On J. Clyde Mitchell's 'The Concept and Use of Social Networks''; 4. From Bott, 'Urban Families: Conjugal Roles and Social Networks': Commentary, 'Commentary on Bott's 'Family and Social Network''; 5. From Festinger, Schachter, and Back, Social Pressures in Informal Groups: Commentary, 'Festinger, Schachter, and Back's Social Pressures in Informal Groups'; 6. From Bernard et al., 'The Problem of Informant Accuracy': Commentary, 'Implications of Informant Accuracy Research for Ego Networks'; 7. From White, Identity and Control: Commentary, 'On Parachutes and Lion-Taming'; Part III. Later Foundations; 8. From Fischer, To Dwell among Friends: Commentary, 'From the Northern California Community Study, 1977–78, to UCNets, 2015–20'; 9. From Granovetter, 'The Strength of Weak Ties': Commentary, 'Strength of Weak Ties in the Labor Market: An Assessment of the State of Research'; 10. From Wellman and Wortley, 'Different Strokes from Different Folks': Commentary, 'A Network Pilgrim's Progress: Twenty-Six Realizations in Fifty-Five Years'; 11. From Coleman, 'Social Capital in the Creation of Human Capital': Commentary, 'Three Decades of Research into Social Capital: Achievements, Blind Spots, and Future Directions'; 12. From Pescosolido, 'Beyond Rational Choice': Commentary, 'Confronting How People Cope with Crisis: From the Social Organization Strategy Framework to the Network Episode Model to the Network Embedded Symbiome'; 13. From Feld, 'The Focused Organization of Social Ties': Commentary, 'Reflections On 'The Focused Organization of Social Ties' and Its Implications for Bonding and Bridging' 14. From Burt, Structural Holes: Commentary, 'Structural Holes Capstone, Cautions, and Enthusiasms'; 15. From Laumann, Marsden, and Prensky, 'The Boundary Specification Problem in Network Analysis': Commentary, 'On the Boundary Specification Problem in Network Analysis: An Update and Extension to Personal Social Networks'; 16. From McPherson, Smith-Lovin, and Cook, 'Birds of a Feather': Commentary, 'The Enormous Flock of Homophily Researchers: Assessing and Promoting a Research Agenda'; 17. From Huckfeldt and Sprague, 'Networks in Context': Commentary, 'Individuals, Groups, and Networks: Implications for the Study and Practice of Democratic Politics'; 18. From Nan Lin, 'Building a Network Theory of Social Capital' Commentary, 'Social Capital: An Update'; 19. On the General Social Survey: 'Egocentric Network Studies within the General Social Survey: Measurement Methods, Substantive Findings, and Methodological Research'; Part IV. New Perspectives; 20. On Cognition: 'Network Representation Capacity: How Social Relationships are Represented in Human Mind'; 21. On Mobilization: 'How Actors Mobilize their Networks in Practice'; 22. On Trust: 'Self-Verification, Trust, and Social Capital Mobilization'; 23. On Dynamics: 'Personal Network Dynamics: Organizing Principles of Stability and Change from Complex Systems Theory'; 24. On Inequality: 'The Context of Network Inequality'; 25. On Culture: 'The Problem of Culture Flows in Weak Ties'; 26. On Migration: 'Personal Networks and Migration Trajectories'; 27. On Movements: 'The Opportunities and Challenges of Studying Social Movement Ego-Networks: Online and Offline'; 28. On Social Media: 'Studying Social Media from an Ego-Centric Perspective'.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738334114135,"sku":"9781108813914","price":60.1,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781108813914.jpg?v=1723811939"},{"product_id":"statistics-for-the-social-sciences-9781108814508","title":"Statistics for the Social Sciences","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe second edition of Statistics for the Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students'' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'Dr Warne's gift for teaching statistics is apparent in his writing of this book. Indeed, I wish I had this book when I was a student. His use of the General Linear Model as a schema for understanding how statistical methods are interrelated sets the book apart from others.' Leena J. Landmark, Associate Professor of Special Education, Sam Houston State University, USA\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. Statistics and Models; 2. Levels of Data; 3. Models of Central Tendency and Variability; 4. Visual Models; 5. Linear Transformations and z-Scores; 6. Probability and the Central Limit Theorem; 7. Null Hypothesis Statistical Significance Testing and z-Tests; 8. One-Sample t-Tests; 9. Paired-Samples t-Tests; 10. Unpaired Two-Sample t-Tests; 11. Analysis of Variance; 12. Correlation; 13. Regression; 14. Chi-Squared Test; 15 Applying Statistics to Research, and Advanced Statistical Methods.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738334441815,"sku":"9781108814508","price":59.84,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781108814508.jpg?v=1723811939"},{"product_id":"applied-regression-models-in-the-social-sciences-9781108926263","title":"Applied Regression Models in the Social Sciences","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eAn accessible and practical guide to the use of applied regression models in testing and evaluating hypotheses dealing with social relationships, with example applications using relevant statistical methods in both Stata and R.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e'This textbook on applied regression by Poston, Conde, and Field is well suited for teaching graduate students in all of the social science fields, but is especially suited for demography, population studies, and public health. It is an excellent contribution to the teaching and practice of regression analysis in the twenty-first century that also can serve as a useful reference book for practitioners.' David Swanson, University of California, Riverside\u003cbr\u003e'This textbook successfully combines theoretical statistical concepts and empirical research examples of applied regression models, from the basic to advanced ones. The best part is the detailed interpretations of the results of statistical analyses. Readers can truly understand the meanings and usages of these statistical numbers.' Lang-Wen Huang, Soochow University, Taipei\u003cbr\u003e'Applied Regression Models in the Social Sciences excels in its focus on the application and interpretation of various regression models and its inclusion of commands in Stata and R. Its sequencing and topical coverage set it apart from others in that the reader is guided through the entire research process with a multitude of examples. This will be a valuable resource to faculty, students, and applied researchers alike.' Ginny Garcia-Alexander, University of Texas at San Antonio\u003cbr\u003e'This textbook fills a critical void in the market for statistical tutorials by bridging the gap between elementary and advanced statistics and providing real-world examples in both Stata and R, allowing students to develop proficiency in the statistical software environments in highest demand. It strikes the perfect balance, neither oversimplifying nor overwhelming with complex mathematics, making it the ideal companion for graduate students seeking a solid foundation in the skills needed to generate social science findings with advanced insights. From correlation analysis to multi-level modeling, this comprehensive and versatile book covers a wide range of regression techniques, equipping learners with a diverse toolkit for trustworthy data analysis and allowing them to transition from the classroom to the laboratory with confidence. The authors' expertise shines through in this clear, comprehensive, and engaging book that is destined to be an indispensable resource.' Stephanie Bohon, University of Tennessee\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eList of figures; List of tables; Preface; 1. Introduction; 2. Undertaking statistical analysis using Stata; 3. Undertaking statistical analysis using R; 4. Descriptive statistics and the normal distribution; 5. Statistical tables and cross-tabulations; 6. Bivariate regression and correlation and statistical inference; 7. Multiple regression and correlation; 8. Regression assumptions and diagnostics and robust regression; 9. Missing data; 10. Issues of survey design; 11. Binomial logistic regression; 12. Ordinal logistic regression; 13. Multinomial logistic regression; 14. Count regression; 15. Survival analysis; 16. Multilevel models; 17. Other issues and final; References; Index.","brand":"Cambridge University Press","offers":[{"title":"Default Title","offer_id":48738344862039,"sku":"9781108926263","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781108926263.jpg?v=1723811955"},{"product_id":"doing-a-successful-research-project-9781137306425","title":"Doing a Successful Research Project","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eMartin Davies is Professor Emeritus at the University of East Anglia, UK. He has extensive social science research experience, having held research posts in the Home Office, the National Health Service and the Universities of Manchester and East Anglia, where he supervised the research dissertations of more than 750 graduate and undergraduate students.  \u003cbr\u003e\u003cbr\u003eNathan Hughes is Director of Education and Senior Lecturer in Social Policy and Social Work at the Institute of Applied Social Studies, University of Birmingham, UK.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\"This book contains all the advice a student needs to design a hands-on methods project, to reflect on the process and to acquire transferable skills for the future.\" - Ann Taylor, Lecturer in Sociology, University of Newcastle NSW, Australia \"This is an excellent guide for undergraduate students conducting research projects in the social sciences. It addresses many of the issues that students encounter and offers excellent practical advice. It is the best text on this topic I have seen.\" - Patrick White, Senior Lecturer in Sociology, University of Leicester, UK \"Clearly-written and well-organized, this book is an excellent, introductory text covering a broad scope of research methods for beginning students.\" - Gerardo Marti, L. Richardson King Associate Professor of Sociology, Davidson College, USA 'I became really engaged with this text from the offset. The authors' straightforward approach belies significant depth and sophistication which is clearly underpinned by their own expert advice... I would highly recommend it.' Trish Hafford-Letchfield, Reader in Social Work, Middlesex University, UK\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePART 1 PLANNING YOUR RESEARCH PROJECT  1. So you’re going to do a research project  2. Let’s make a start  3. Preparing for a successful research project  4. The principles of sampling  5. Carrying out your survey  6. Questionnaires  7. The art and science of survey interviewing  8. Analysing your survey data  9. Testing for statistical significance: into more complex territory  10. A quantitative researcher’s briefing sheet  PART 3 QUALITATIVE RESEARCH  11. Studying a small sample  12. Qualitative research interviewing  13. There is more to qualitative research than interviewing  14. Analysing qualitative data  15. A qualitative researcher’s briefing sheet  PART 4 THE LAST LAP  16. Writing your report.","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738379333975,"sku":"9781137306425","price":27.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781137306425.jpg?v=1723811997"},{"product_id":"developing-research-questions-9781137490476","title":"Developing Research Questions","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003ePatrick White is Senior Lecturer in the Department of Sociology, University of Leicester, UK.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003eWhere do research ideas come from?  What makes a research question?  What makes a question 'researchable'?  How do my research questions help me design my study?  How do I answer my research question?","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738387657047,"sku":"9781137490476","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781137490476.jpg?v=1723812006"},{"product_id":"exploring-research-global-edition-9781292364315","title":"Exploring Research Global Edition","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eNeil J. Salkind\u003c\/strong\u003e received his Ph.D. from the University of Maryland in Human Development. After teaching for 35 years at the University of Kansas, he remains as a Professor Emeritus in the Department of Psychology and Research in Education, where he continues to collaborate with colleagues and work with students. His early interests were in the area of children's cognitive development. After researching in the areas of cognitive style, he became a postdoctoral fellow at the University of North Carolina's Bush Center for Child and Family Policy. He is the author of \u003cem\u003eStatistics for People Who Think They Hate Statistics (\u003c\/em\u003eSage), \u003cem\u003eTheories of Human Development \u003c\/em\u003e(Sage), and \u003cem\u003eExploring Research \u003c\/em\u003e(Pearson). He has edited several encyclopedias including the \u003cem\u003eEncyclopedia of Human Development\u003c\/em\u003e, the \u003cem\u003eEncyclopedia of Measurement and Statistics\u003c\/em\u003e, and the recently published \u003cem\u003eEncyclopedia of Research Design\u003c\/em\u003e. He was the editor of \u003cem\u003eChild\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e1. The Role and Importance of Research \u003c\/p\u003e    \u003cp\u003e2. The Research Process: Coming to Terms \u003c\/p\u003e    \u003cp\u003e3A. Selecting a Problem and Reviewing the Research \u003c\/p\u003e    \u003cp\u003e3B. The Importance of Practicing Ethics in Research \u003c\/p\u003e    \u003cp\u003e4. Sampling and Generalizability \u003c\/p\u003e    \u003cp\u003e5. Measurement, Reliability, and Validity \u003c\/p\u003e    \u003cp\u003e6. Methods of Measuring Behavior \u003c\/p\u003e    \u003cp\u003e7. Data Collection and Descriptive Statistics \u003c\/p\u003e    \u003cp\u003e8. Introducing Inferential Statistics \u003c\/p\u003e    \u003cp\u003e9. Nonexperimental Research: Descriptive and Correlational Methods \u003c\/p\u003e    \u003cp\u003e10. Nonexperimental Research: Qualitative Methods \u003c\/p\u003e    \u003cp\u003e11. Pre- and True Experimental Research Methods \u003c\/p\u003e    \u003cp\u003e12. Quasi-Experimental Research: A Close Cousin to Experimental Research \u003c\/p\u003e    \u003cp\u003e13. Writing a Research Proposal \u003c\/p\u003e    \u003cp\u003e14. Writing a Research Manuscript \u003c\/p\u003e    \u003cp\u003eAppendix A \u003c\/p\u003e    \u003cp\u003eAppendix B \u003c\/p\u003e    \u003cp\u003eAppendix C \u003c\/p\u003e    \u003cp\u003eAppendix D \u003c\/p\u003e    \u003cp\u003eBibliography \u003c\/p\u003e    \u003cp\u003eGlossary \u003c\/p\u003e    \u003cp\u003eIndex \u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e","brand":"Pearson Education Limited","offers":[{"title":"Default Title","offer_id":48738541470039,"sku":"9781292364315","price":57.75,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781292364315.jpg?v=1723812128"},{"product_id":"statistical-methods-for-the-social-sciences-global-edition-9781292449197","title":"Statistical Methods for the Social Sciences","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp style=\"margin:\"\u003e\u003cb\u003eAlan Agresti \u003c\/b\u003eis Distinguished Professor in the Department of Statistics at the University of Florida. He has been teaching statistics there for 30 years, including the development of three courses in statistical methods for social science students and three courses in categorical data analysis. He is author of over 100 refereed article and four texts including Statistics: The Art and Science of Learning From Data (with Christine Franklin, Pearson, 4th edition 2017) and Categorical Data Analysis (Wiley, 3rd edition 2012). He is a Fellow of the American Statistical Association and recipient of an Honorary Doctor of Science from De Montfort University in the UK. In 2003 he was named Statistician of the Year by the Chicago chapter of the American Statistical Association and in 2004 he was the first honoree of the Herman Callaert Leadership Award in Biostatistical Education and Dissemination awarded by the University of Limburgs, Belgium. He has held visiting po\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003col\u003e\n\u003cli\u003eIntroduction\u003c\/li\u003e\n\u003cli\u003eSampling and Measurement\u003c\/li\u003e\n\u003cli\u003eDescriptive Statistics\u003c\/li\u003e\n\u003cli\u003eProbability Distributions\u003c\/li\u003e\n\u003cli\u003eStatistical Inference: Estimation\u003c\/li\u003e\n\u003cli\u003eStatistical Inference: Significance Tests\u003c\/li\u003e\n\u003cli\u003eComparison of Two Groups\u003c\/li\u003e\n\u003cli\u003eAnalyzing Association between Categorical Variables\u003c\/li\u003e\n\u003cli\u003eLinear Regression and Correlation\u003c\/li\u003e\n\u003cli\u003eIntroduction to Multivariate Relationships\u003c\/li\u003e\n\u003cli\u003eMultiple Regression and Correlation\u003c\/li\u003e\n\u003cli\u003eModel Building with Multiple Regression\u003c\/li\u003e\n\u003cli\u003eLogistic Regression: Modeling Categorical Responses\u003c\/li\u003e\n\u003cli\u003eAn Introduction to Advanced Methodology\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Pearson Education Limited","offers":[{"title":"Default Title","offer_id":48738551759191,"sku":"9781292449197","price":62.99,"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":"data-collection-research-methods-in-applied-linguistics-9781350025844","title":"Data Collection Research Methods in Applied","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eThe successful collection of data is a key challenge to obtaining reliable and valid results in applied linguistics research. \u003ci\u003eData Collection Research Methods in Applied Linguistics \u003c\/i\u003einvestigates how research is conducted in the field, encompassing the challenges and obstacles applied linguists face in collecting good data. The book explores frequently used data collection techniques, including:  * interviews and focus groups * observations* stimulated recall and think aloud protocols  * data elicitation tasks * corpus methods * questionnaires  * validated tests and measures  Each chapter focuses on one type of data collection, outlining key concepts, threats to reliability and validity, procedures for good data collection, and implications for researchers. The chapters also include exemplary research projects, showcasing and explaining for readers how the technique was used to collect data in a successfully published study. This book is an essential resource for both novice and \u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003eThis book is a nicely balanced account of approaches to collecting data in applied linguistics research. The reading activities make the text interactive, fostering engagement with the content of the book as do the sample studies chosen to illustrate the points being made. An extremely useful book for students starting out on research as well as people teaching courses on research methods in applied linguistics. * Brian Paltridge, Professor of TESOL, University of Sydney, Australia *\u003cbr\u003eA masterfully written volume, providing clear, focused and very practical advice on data collection for applied linguistics research. Key concepts and procedures are explained succinctly and assuringly, with suggested reading, to enable students to ‘think, discuss, and imagine’. A must-read for anyone who wants to carry out applied linguistics research in a proper manner. * Li Wei, Chair of Applied Linguistics, University College London, UK *\u003cbr\u003eThis book—chock full of examples from published studies—is one that I have often wished I had. A text that is comprehensive yet accessible, students and veteran scholars alike will benefit in a major way from Rose, Briggs Baffoe-Djan, and McKinley’s insights on the many decisions involved in collecting data. * Luke Plonsky, Associate Professor of Applied Linguistics, Northern Arizona University, USA *\u003cbr\u003eWhat really impresses readers lies in the structure of each chapter ... This book also assists both experienced and novice researchers to strengthen their research work through the concepts of transparency of realities. * International Association of Teachers of English as a Foreign Language (IATEFL) *\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface 1. An Introduction to Research Methods 2. Data Elicitation Tasks 3. Introspective and Retrospective Protocols 4. Validated Tests and Measures 5. Observations 6. Interviews 7. Diaries, Journals and Logs 8. Questionnaires 9. Focus Groups 10. Document Data Collection 11. Constructing and Using Corpora 12. Strengthening Data Collection: Triangulation, Replication, and Realities Glossary: A-Z of Key Terms and Concepts References  Index","brand":"Bloomsbury Publishing PLC","offers":[{"title":"Default Title","offer_id":48738580955479,"sku":"9781350025844","price":30.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781350025844.jpg?v=1723812140"}],"url":"https:\/\/bookcurl.com\/collections\/social-research-and-statistics.oembed?page=60","provider":"Book Curl","version":"1.0","type":"link"}