Social research and statistics Books

Book SynopsisThe ebook edition of this title is Open Access, thanks to Knowledge Unlatched funding, and freely available to read online. This book seeks broader critical engagement with the design, development and adoption processes of contemporary digital technologies. Such technology has been the catalyst for great improvements in the fields of medicine, employment, education and communications. Yet, a new digital age has also brought a unique set of societal, cultural and environmental challenges that have yet to be fully understood and, when needed, confronted. It could be argued that aspirations to develop an information super-highway that would be an instrument for human flourishing, has given way to vast stores of worthless trivia and is hijacking our attention at every opportunity. In the absence of robust sociological input at the conceptual stages of digital communication technology development, the probability of these tools and instruments delivering change that is deeply personally, socially, culturally and environmentally damaging will continue to grow. Critical exploration of the organisational, social, political and environmental context of digital communications technology is necessary, without which technology will continue to be left ‘to its own device’ to determine the social and cultural values of societies, for better or worse. The Social, Cultural and Environmental Costs of Hyper-Connectivity investigates the profound effects 21st century digital technology is having on our individual and collective lives and seeks to confront the realities of a new digital age. Changes brought about by digital technology are frequently disruptive and, thus, need to be designed to protect against harm on society.Table of ContentsChapter 1. Introduction Chapter 2. The Digital Behemoths Chapter 3. Towards Cultural Homogenisation Chapter 4. The Challenges to our Innate Cognitive Abilities & Mental Wellbeing Chapter 5. The Smartphone: A Weapon of Mass Distraction Chapter 6. Online Privacy and Surveillance Chapter 7. Digital Divides Chapter 8. An Increasing Ecological Threat Chapter 9. Digital Democracy: The Winners and Losers Chapter 10. Retaking the Reins

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Book SynopsisCreating Autoethnographies is an introduction to autoethnography, a form of autobiographical personal narrative that explores the writer′s experience of life. The first ever practical text on this increasingly popular research method, it provides a background and considers some of the criticisms of the approach. It is suitable for all social science students, both at postgraduate and also upper level undergraduate stage. The book is structured to mirror the process of writing about experience, from establishing an idea through to the process of writing and the development of creative writing skills, and provides detailed worked examples of the whole process. The final two chapters are devoted to exploring two cases in which readers can see the principles discussed in action. There are also a wide range of case studies drawn from a wide a range of social science disciplines and exercises throughout the text. In the book, Tessa Muncey identifies a number of trends in social science research, such as the increasing focus on the individual and giving a voice to service users, that are resulting in an increase of interest in narrative research. Creating Autoethnographies is a timely contribution to the field. Tessa Muncey is one of the leading names in this field and is the annual organiser and chair of the Mixed Methods Conference. Trade ReviewAutoethnography, like all research genres, is a contested term with diverse connotations. Muncey offers clarity of understanding of the term, its evolution as a facet of anthropological research, and some of the key influences in postmodernist thought that have helped to widen its application in psychological and sociological disciplines.David McCormackBritish Journal of Guidance and Counselling Table of ContentsWhy Do Autoethnography: Discovering the Individual in Research Personal Worlds: Discovering the Constituent Parts of the Individual What is Autoethnography: Making Sense of Individual Experience Planning an Autoethnographic Account Making Sense of Autoethnographic Texts: Legitimacy, Truth and Memory A Complete Autoethnographic Account The Autoethnographic Process: Starting a New Story

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Book Synopsis''A statistical national treasure'' Jeremy Vine, BBC Radio 2''Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force'' Popular ScienceDo busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. 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. ''Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world'' NatureTrade ReviewDavid Spiegelhalter is probably the greatest living statistical communicator; more than that, he's one of the great communicators in any field. This marvellous book will transform your relationship with the numbers that swirl all around us. Read it and learn. -- Tim HarfordThere is something in here for everyone ... 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 argue eloquently that their discipline is needed now more than ever. * Financial Times *Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world . . . The Art of Statistics 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 *What David Spiegelhalter does here is provide a very thorough introductory grounding in statistics without making use of mathematical formulae. And it's remarkable. Spiegelhalter is warm and encouraging - it's a genuinely enjoyable read ... This book should be required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force. * Popular Science *The Art of Statistics is in the great educational tradition 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 spry, airy chapters, he succeeds fabulously ... Lucid and readable. In an age of scientific clickbait, 'big data' and personalised medicine, this is a book that nearly everyone would benefit from reading. * Spectator *Important and comprehensive -- Hannah Fry * New Yorker *This is an excellent book. Spiegelhalter is great at explaining difficult ideas . . . Yes, statistics can be difficult. But much less difficult if you read this book. * Evening Standard *Like the fictional investigator Sherlock Holmes, Spiegelhalter takes readers on a trail to challenge methodology and stats thrown at us by the media and others. But where other authors have attempted this and failed, he is inventive and clever in picking the right examples that spark the reader's interest to become active on their own. * Engineering and Technology *Do you trust headlines telling you . . . that bacon, ham and sausages carry the same cancer risk as cigarettes? No, nor do I. That is why we need a book like this that explains how such implausible nonsense arises in the first place. Written by a master of the subject . . . this book tells us to examine our assumptions. Bravo. * Standpoint *

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Book SynopsisExam board: AQALevel & subject: GCSE 9-1 SociologyFirst teaching: September 2017Next exams: June 2023Get your students engaging with the 2017 specification: all the knowledge and skills students need to succeed set out in clear, approachable lessons packed full of activities and support.The third edition of this trusted textbook has been fully updated to provide complete coverage of the 2017 AQA Sociology specification, with fresh, contemporary case studies, engaging activities and a focus on research skills, theory and making connections between topics. Fully matched to the 2017 AQA specification including coverage of all key terms and concepts New Focus on theory' activities get students thinking about the various theories and approaches in sociology New Focus on skills' discussion and written activities equip students with the skills they need for their exams New Focus on research' activities have been carefully developed to equip students to hone their research skills for example bTrade Review‘Collins AQA GCSE 9-1 Sociology has eased my fears over delivering the content of the new GCSE spec. I love the layout and how attractive it looks. The stretch tasks and focus on exam skills sections are spot on for students. The Weber section is exceptionally accessible, as is the conflict and consensus debate which are not the easiest of concepts to get across at A-level, never mind at GCSE.’ – Charlotte Belmore, Saint Benedict CVA ‘New to AQA GCSE Sociology, this book has been a big help when planning the new specification. The specification’s focus on key thinkers and integrating research methods into topics are less intimidating now due to this textbook. The works of the 25 key thinkers that the students are required to know are explained in student–friendly language. Exam questions for each topic as well as in a chapter of its own will give my students plenty of practice. I also really appreciate the detailed glossary included in the book. The book has a clear layout and is contemporary with research and statistics. I will definitely be using this textbook with my students next year!’ – Subject Performance Leader for Sociology, The South Wolds Academy ‘Collins AQA GCSE 9-1 Sociology is a really accessible resource with engaging questions and clearly laid out content.’ – Eleanor Johnson, Sociology Teacher, Nene Park Academy ‘Collins AQA GCSE 9-1 Sociology closely matches the AQA specification, which is key for teachers when delivering content. The material is at the right level for students with key points providing further support. The language and vocabulary are easily accessible to students whilst including all the relevant sociological concepts.’ – Sophie Cantwell, Teacher, Staffordshire

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Book SynopsisTrade Review"The author has masterfully balanced careful explanations of the quantitative theory with the practical computer implementation of the methods applied to real world data sets. . . . That Quantitative Social Science: An Introduction is carefully written, detailed, and interactive makes it useful either as a textbook for a lecture course or for self-study. . . . I highly recommend the book to anyone looking for an introduction to data science."---Jason M. Graham, Mathematical Association of America ReviewsTable of ContentsList of Tables xiii List of Figures xv Preface xvii 1 Introduction 1 1.1 Overview of the Book 3 1.2 How to Use this Book 7 1.3 Introduction to R 10 1.3.1 Arithmetic Operations 10 1.3.2 Objects 12 1.3.3 Vectors 14 1.3.4 Functions 16 1.3.5 Data Files 20 1.3.6 Saving Objects 23 1.3.7 Packages 24 1.3.8 Programming and Learning Tips 25 1.4 Summary 27 1.5 Exercises 28 1.5.1 Bias in Self-Reported Turnout 28 1.5.2 Understanding World Population Dynamics 29 2 Causality 32 2.1 Racial Discrimination in the Labor Market 32 2.2 Subsetting the Data in R 36 2.2.1 Logical Values and Operators 37 2.2.2 Relational Operators 39 2.2.3 Subsetting 40 2.2.4 Simple Conditional Statements 43 2.2.5 Factor Variables 44 2.3 Causal Effects and the Counterfactual 46 2.4 Randomized Controlled Trials 48 2.4.1 The Role of Randomization 49 2.4.2 Social Pressure and Voter Turnout 51 2.5 Observational Studies 54 2.5.1 Minimum Wage and Unemployment 54 2.5.2 Confounding Bias 57 2.5.3 Before-and-After and Difference-in-Differences Designs 60 2.6 Descriptive Statistics for a Single Variable 63 2.6.1 Quantiles 63 2.6.2 Standard Deviation 66 2.7 Summary 68 2.8 Exercises 69 2.8.1 Efficacy of Small Class Size in Early Education 69 2.8.2 Changing Minds on Gay Marriage 71 2.8.3 Success of Leader Assassination as a Natural Experiment 73 3 Measurement 75 3.1 Measuring Civilian Victimization during Wartime 75 3.2 Handling Missing Data in R 78 3.3 Visualizing the Univariate Distribution 80 3.3.1 Bar Plot 80 3.3.2 Histogram 81 3.3.3 Box Plot 85 3.3.4 Printing and Saving Graphs 87 3.4 Survey Sampling 88 3.4.1 The Role of Randomization 89 3.4.2 Nonresponse and Other Sources of Bias 93 3.5 Measuring Political Polarization 96 3.6 Summarizing Bivariate Relationships 97 3.6.1 Scatter Plot 98 3.6.2 Correlation 101 3.6.3 Quantile-Quantile Plot 105 3.7 Clustering 108 3.7.1 Matrix in R 108 3.7.2 List in R 110 3.7.3 The k-Means Algorithm 111 3.8 Summary 115 3.9 Exercises 116 3.9.1 Changing Minds on Gay Marriage: Revisited 116 3.9.2 Political Efficacy in China and Mexico 118 3.9.3 Voting in the United Nations General Assembly 120 4 Prediction 123 4.1 Predicting Election Outcomes 123 4.1.1 Loops in R 124 4.1.2 General Conditional Statements in R 127 4.1.3 Poll Predictions 130 4.2 Linear Regression 139 4.2.1 Facial Appearance and Election Outcomes 139 4.2.2 Correlation and Scatter Plots 141 4.2.3 Least Squares 143 4.2.4 Regression towards the Mean 148 4.2.5 Merging Data Sets in R 149 4.2.6 Model Fit 156 4.3 Regression and Causation 161 4.3.1 Randomized Experiments 162 4.3.2 Regression with Multiple Predictors 165 4.3.3 Heterogenous Treatment Effects 170 4.3.4 Regression Discontinuity Design 176 4.4 Summary 181 4.5 Exercises 182 4.5.1 Prediction Based on Betting Markets 182 4.5.2 Election and Conditional Cash Transfer Program in Mexico 184 4.5.3 Government Transfer and Poverty Reduction in Brazil 187 5 Discovery 189 5.1 Textual Data 189 5.1.1 The Disputed Authorship of The Federalist Papers 189 5.1.2 Document-Term Matrix 194 5.1.3 Topic Discovery 195 5.1.4 Authorship Prediction 200 5.1.5 Cross Validation 202 5.2 Network Data 205 5.2.1 Marriage Network in Renaissance Florence 205 5.2.2 Undirected Graph and Centrality Measures 207 5.2.3 Twitter-Following Network 211 5.2.4 Directed Graph and Centrality 213 5.3 Spatial Data 220 5.3.1 The 1854 Cholera Outbreak in London 220 5.3.2 Spatial Data in R 223 5.3.3 Colors in R 226 5.3.4 US Presidential Elections 228 5.3.5 Expansion of Walmart 231 5.3.6 Animation in R 233 5.4 Summary 235 5.5 Exercises 236 5.5.1 Analyzing the Preambles of Constitutions 236 5.5.2 International Trade Network 238 5.5.3 Mapping US Presidential Election Results over Time 239 6 Probability 242 6.1 Probability 242 6.1.1 Frequentist versus Bayesian 242 6.1.2 Definition and Axioms 244 6.1.3 Permutations 247 6.1.4 Sampling with and without Replacement 250 6.1.5 Combinations 252 6.2 Conditional Probability 254 6.2.1 Conditional, Marginal, and Joint Probabilities 254 6.2.2 Independence 261 6.2.3 Bayes' Rule 266 6.2.4 Predicting Race Using Surname and Residence Location 268 6.3 Random Variables and Probability Distributions 277 6.3.1 Random Variables 278 6.3.2 Bernoulli and Uniform Distributions 278 6.3.3 Binomial Distribution 282 6.3.4 Normal Distribution 286 6.3.5 Expectation and Variance 292 6.3.6 Predicting Election Outcomes with Uncertainty 296 6.4 Large Sample Theorems 300 6.4.1 The Law of Large Numbers 300 6.4.2 The Central Limit Theorem 302 6.5 Summary 306 6.6 Exercises 307 6.6.1 The Mathematics of Enigma 307 6.6.2 A Probability Model for Betting Market Election Prediction 309 6.6.3 Election Fraud in Russia 310 7 Uncertainty 314 7.1 Estimation 314 7.1.1 Unbiasedness and Consistency 315 7.1.2 Standard Error 322 7.1.3 Confidence Intervals 326 7.1.4 Margin of Error and Sample Size Calculation in Polls 332 7.1.5 Analysis of Randomized Controlled Trials 336 7.1.6 Analysis Based on Student's t-Distribution 339 7.2 Hypothesis Testing 342 7.2.1 Tea-Tasting Experiment 342 7.2.2 The General Framework 346 7.2.3 One-Sample Tests 350 7.2.4 Two-Sample Tests 356 7.2.5 Pitfalls of Hypothesis Testing 361 7.2.6 Power Analysis 363 7.3 Linear Regression Model with Uncertainty 370 7.3.1 Linear Regression as a Generative Model 370 7.3.2 Unbiasedness of Estimated Coefficients 375 7.3.3 Standard Errors of Estimated Coefficients 378 7.3.4 Inference about Coefficients 380 7.3.5 Inference about Predictions 384 7.4 Summary 389 7.5 Exercises 390 7.5.1 Sex Ratio and the Price of Agricultural Crops in China 390 7.5.2 File Drawer and Publication Bias in Academic Research 392 7.5.3 The 1932 German Election in the Weimar Republic 394 8 Next 397 General Index 401 R Index 406

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Book SynopsisIn the Fourth Edition of this bestselling book, John W Creswell and new co-author Cheryl N Poth explore the philosophical underpinnings, history and key elements of each of five qualitative inquiry traditions: narrative research, phenomenology, grounded theory, ethnography and case study - putting them side by side, so that we can see the differences. The authors relate research designs to each of the traditions of enquiry. They compare theoretical frameworks and ways to employ standards of quality, as well as strategies for writing introductions to studies, collecting data, analyzing data, writing a narrative and verifying results. New in this edition: Updated materials on each tradition More on interpretive frameworks and ethics More visual depictions of the five approaches Two new topical articles in Chapter 5, reproduced in full in the appendices. Table of ContentsIntroduction Philosophical Assumptions and Interpretive Frameworks Designing a Qualitative Study Five Qualitative Approaches to Inquiry Five Different Qualitative Studies Introducing and Focusing the Study Data Collection Data Analysis and Representation Writing a Qualitative Study Standards of Validation and Evaluation “Turning the Story” and Conclusion

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Book SynopsisThe use of case studies to build and test theories in political science and the other social sciences has increased in recent years. Many scholars have argued that the social sciences rely too heavily on quantitative research and formal models and have attempted to develop and refine rigorous methods for using case studies. This text presents a comprehensive analysis of research methods using case studies and examines the place of case studies in social science methodology. It argues that case studies, statistical methods, and formal models are complementary rather than competitive. The book explains how to design case study research that will produce results useful to policymakers and emphasizes the importance of developing policy-relevant theories. It offers three major contributions to case study methodology: an emphasis on the importance of within-case analysis, a detailed discussion of process tracing, and development of the concept of typological theories. Case Studies and

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Book SynopsisThis timely, unique, and insightful book provides students and practitioners with the tools and skills needed to evaluate social and policy programs across a range of disciplinesâfrom public health to social work to educationâenabling the allocation of scarce human and financial resources to advance the health and well-being of individuals and populations.The chapters are organized according to the main tasks involved in conducting an evaluation to produce unbiased evidence of program effectiveness, quality, and value. The chapters include methods for selecting and justifying evaluation questions or hypotheses, designing evaluations, sampling participants, selecting information sources, and ensuring reliable and valid measurement. The final section of the book is focused around managing and analyzing data and transparently reporting the results in written and oral form. The book features international case studies throughout, covers quantitative, qualitative, and mixed-methodTable of Contents1. Introducing Program Evaluation2. Evaluation Questions and Evidence of Effectiveness, Quality, and Value3. Designing Program Evaluations4. Sampling in Program Evaluations 5: Collecting Program Evaluation Information6. Evaluation Measures7. Managing Evaluation Data and Managing the Evaluation8. Analyzing Evaluation Data9. Evaluation Reports- tables numbers don’t make sense (order and repeats)

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Book SynopsisThis book dives into the achievements, opportunities, risks and dangers of ICT in the rural Global South, and takes a look at the likely future.Drawing on years of experience across 45 counties, as well as extensive original academic research, Willem van Eekelen situates the evolving role of ICT in wider development patterns in the Global South. He discusses the effects of ICT on agriculture, trade, financial flows, resource management and governmental performance. He then considers the associated risks of financial insecurity, online gambling, exclusion, misinformation and the effects of ICT on people's freedom. The book concludes with six recommendations to maximise the usefulness of rural ICT investments and minimise the risk of them causing harm.This engaging and authoritative account of ICT and rural development will help students, academics, governmental policymakers, donors and investors wishing to support socio-economic development in the Global South.Trade ReviewThe book provides a fresh and exciting view of how technology is used in rural areas in the Deep South. I enjoyed reading the examples and feedback as well as the opportunities, future, and challenges experienced in their own contexts. I think a tremendous amount of knowledge is shared that can assist similar future projects in knowing how to approach ICT in rural contexts and what the pitfalls and dangers to be aware of. M. E. Herselman, Council for Scientific and Industrial Research (CSIR), CSIR, Pretoria Campus, Pretoria, Gauteng, South AfricaWillem van Eekelen, in ICT and Rural Development in the Global South, provides an open and honest review of ICT4D in the Global South. Van Eekelen's experience is clear to anyone who has worked in this field, and his knowledge of the benefits and risks is reflected on each page. Not only does he debunk many myths of ICT for development, but he also provides insight into where ICT can be beneficial, what risks ICT4D faces,and how to mitigate them. [...] ICT and Rural Development in the Global South is a must-read for anyone involved in ICT4D wanting to make a noticeable difference to livelihoods in the Global South.Malcolm Garbutt, University of the Western Cape, Bellville, South AfricaTable of ContentsPROLOGUE PART 1: ICT’S CONTRIBUTIONS TO RURAL DEVELOPMENT Introduction Chapter 1: Agricultural production processes Chapter 2: Trade Chapter 3: Diversified livelihoods Chapter 4: Microfinance Chapter 5: Remittances and social assistance Chapter 6: E-government Chapter 7: Climate change and natural resource management Chapter 8: The spread of ICT products and services PART 2: THE RISKS, DANGERS AND EXTERNALITIES OF ICT Introduction Chapter 9: Farming and rural employment Chapter 10: Financial safety and security Chapter 11: Gambling Chapter 12: The digital divide and its effects Chapter 13: Misinformation Chapter 14: Inclusivity and civic space CONCLUSIONS ANNEX 1: METHODOLOGY ANNEX 2: RESEARCH INTEGRITY AND ETHICS

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Book SynopsisIn the Fifth Edition of the bestselling text Qualitative Inquiry and Research Design: Choosing Among Five Approaches, John W. Creswell and Cheryl N. Poth guide researchers in selecting the best option for their studies by exploring, evaluating, and applying five qualitative research approaches: narrative research, phenomenology, grounded theory, ethnography, and case study. For each of these qualitative inquiry traditions, the authors explore the philosophical underpinnings, history, defining features, common data procedures, and writing structures. With expanded content reflecting technological developments in the qualitative research process, more inclusivity and diversity in examples, and updated references, the Fifth Edition is an ideal introduction to the theories, strategies, and practices of qualitative research. Winner of the 2018 Textbook & Academic Authors Association's The McGuffey LongevitTable of Contents1 • Introduction to Qualitative Inquiry and Research Design 2 • Philosophical Assumptions and Interpretive Frameworks 3 • Designing a Qualitative Study 4 • Five Qualitative Approaches to Inquiry 5 • Five Different Qualitative Studies 6 • Introducing and Focusing the Study 7 • Data Collection 8 • Data Analysis and Representation 9 • Writing a Qualitative Study 10 • Standards of Validation and Evaluation 11 • “Turning the Story” and Conclusion to Qualitative Inquiry and Research Design

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Book SynopsisThis third edition of Braun and Murdoch''s bestselling textbook now includes discussion of the use and design principles of the tidyverse packages in R, including expanded coverage of ggplot2, and R Markdown. The expanded simulation chapter introduces the BoxMuller and MetropolisHastings algorithms. New examples and exercises have been added throughout. This is the only introduction you''ll need to start programming in R, the computing standard for analyzing data. This book comes with real R code that teaches the standards of the language. Unlike other introductory books on the R system, this book emphasizes portable programming skills that apply to most computing languages and techniques used to develop more complex projects. Solutions, datasets, and any errata are available from www.statprogr.science. Worked examples - from real applications - hundreds of exercises, and downloadable code, datasets, and solutions make a complete package for anyone working in or learning practical dataTable of Contents1. Getting Started; 2. Introduction to the R Language; 3. Programming Statistical Graphics; 4. Programming with R; 5. Complex Programming in the Tidyverse; 6. Simulation; 7. Computational Linear Algebra; 8. Numerical Optimization; A. Review of Random Variables and Distributions; B. Base Graphics Details; Index.

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Book SynopsisEach day we are faced with continuing claims made by media pundits, politicians, teachers, and friends, often quoting research. Consider also the numerous comments and posts on Internet blogs, Twitter, and Facebook that illustrate the confusion between opinion and factual data. How do we learn to interpret the research we hear about and read, to distinguish opinions from scientific facts, and to use this knowledge to conduct our own studies to answer the questions faced in everyday situations?Understanding the components that go into scientific research and learning how to do research, make decisions about which statistics to use, and analyze statistical findings are goals for everyone in today''s research-oriented world. Questions about the reliability and validity of data from a study or public opinion poll come up routinely and need critical review. This book contributes to achieving these objectives. Doing Survey Research is intended for peopleTable of ContentsPreface to the Fourth EditionCHAPTER ONE Why We Do Research CHAPTER TWO Finding Ideas to Research CHAPTER THREE Designing Research: Concepts, Hypotheses, and Measurement CHAPTER FOUR Developing a Questionnaire CHAPTER FIVE Sampling CHAPTER SIX Presenting Data: Descriptive Statistics CHAPTER SEVEN Analyzing Data: Bivariate Relationships CHAPTER EIGHT Analyzing Data: Comparing Means CHAPTER NINE Analyzing Data: Multiple Variables CHAPTER TEN Presenting Results, Making Conclusions, and Writing Reports Appendix References Index

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Book SynopsisTable of ContentsIntroduction PART A: Thinking About Research A1: What is Research? A2: Knowledge, Theories, Paradigms and Perspectives A3: The Nature of Data A4: Research Questions, Hypotheses and Operational Definitions A5: Research as an Ethical and Cultural Issue PART B: Preparing for Research B1: Planning a Research Project B2: Reviewing the Literature B3: Research Design B4: Choosing Methods B5: Sampling B6: Research Proposals PART C: Data Collection C1: Collecting Data C2: Data Collection Skills C3: Questionnaires C4: Semi-structured Interviews C5: Focus Groups C6: Observation C7: Narrative Data C8: Documents C9: Secondary Sources of Data C10: Collecting Data Using Computer Mediated Communication (CMC) PART D: Data Analysis D1: Beginning to Analyse D2: Working With Data D3: Statistical Analysis D4: Thematic Analysis D5: Analysing Narrative D6: Discourse Analysis D7: Content Analysis D8: Grounded Theory D9: Using Computers in Data Analysis D10: So What? Drawing Conclusions PART E: Data Presentation and Reports E1: The Importance of Audience E2: Writing for Research: Reports and Dissertations E3: Data Presentation E4: Dissemination and Further Research Glossary

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Book SynopsisEncouraging critical consideration of research design, the book guides readers step-by-step through the process of planning and undertaking a research project based on documentary analysis. It covers selecting a research topic and sample through to analysing and writing up the data.Table of ContentsIntroduction PART I: GETTING GOING Working productively Working with your supervisor Working ethically Working reflexively and safely PART II: MAKING DECISIONS Reviewing literature and writing your literature review Finding sources Choosing an analysis approach Writing research questions and your methods chapter PART III: GETTING IT DONE! Collecting and analysing data and writing your results chapter Assessing data quality and writing your discussion chapter Creating the final dissertation Concluding remarks

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Book SynopsisThis book offers a holistic view of Julio Boltvinik’s vast and important work on poverty conceptualisation and measurement. It provides the foundations, application and empirical examples of Boltvinik’s Integrated Poverty Measurement Method, which could potentially transform poverty narratives globally as it has done in Mexico.Table of ContentsIntroduction Part 1: Conceptualising poverty 1. Households’ reproduction logic, their well-being sources and concepts of needs and poverty 2. Critique of the Political Economy of Poverty (CPEP), Part 1: on different answers to the question of the constitutive elements of the good/full life 3. Critique of the Political Economy of Poverty, Part 2: conceptual maps and definitions 4. Principles and good practices of poverty conceptualisation Part 2: Measuring poverty 5. Principles and good practices of poverty measurement 6. A typology of poverty measurement methods: a critique of direct and indirect poverty measurement methods 7. Combined methods of poverty measurement 8. The Integrated Poverty Measurement Method (IPMM) 9. Aggregate poverty measures (APM) Epilogue

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Book SynopsisThis is your step-by-step guide to success with your research proposal. This new edition covers every section of the proposal, telling you all you need to know on how to structure it, bring rigour to your methods section, impress your readers and get your proposal accepted. With practical tips and advice throughout, new features include: Comprehensive explanation of method and methodology, and how to maximize this crucial section of your proposal Anew section on mixed methods: an increasingly common approach in research Anew chapter on how to get it right with ethics Fresh exercises and activities, now for each key chapter. The Third Edition provides an authoritative and accessible guide for anyone tackling a research proposal. It is perfect for students in education, nursing, health, and across the social sciences.Trade ReviewThis book is incredibly useful for graduate students attempting to work out the ‘rules of the game’ of research proposal writing. Especially helpful are the exercises that can support students with tricky aspects such as developing research questions. -- Barbara ReadThis third edition is a ′must have′ for demystifying the proposal writing process. It includes mixed-method approaches and provides additional insights, tips, strategies, and examples that are indispensable. Just wish I had this book when I was struggling with my first proposal! -- Julia JahansooziIt provides a clear and easy-to-follow guide to putting together a proposal with detailed discussion of the topics that need to be included. The structure of the book reflects the proposal development process, from developing the general framework to writing different elements of the proposal. It begins with a helpful discussion of the reviewer, their expectations and the functions that the proposal needs to fulfill, which has relevance across all types of research proposal. -- Sarah Kitchen * SRA Researcg Matters 2018 *Table of ContentsIntroduction: Reading this Book Understanding Readers, Expectations and Functions Including Ethics in Social Science Research Alis Oancea Developing a General Framework for Proposals Using Theory and Dealing with the Literature Presenting Methods and Methodologies Writing the Proposal Getting Tactics Right Examples of Proposals

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Book SynopsisThe highly-anticipated second edition of the Foundations of Mixed Methods Research:Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences gives students a comprehensive overview of mixed methods from philosophical roots and traditions through designing, conducting, and disseminating a study. Authors Abbas Tashakkori, R. Burke Johnson, and Charles Teddlie have thoroughly updated the text to reflect the many advances over the last decade in mixed methods. New example studies throughout and a new appendix highlight the latest research on mixed methods and current best practices. New sections on evaluating quality in mixed methods studies and writing up research results round out the process of mixed methods research. The authors have added features like content summaries and objectives at the beginning of each chapter and chapter summaries and previews at the end of each chapter to aid readers in their mixed methods journey. Students across social science, behavioral science, and health and nursing fields are now expected to be proficient in mixed methods research. This text begins with an introduction to and overview of the development of mixed methodology, and then takes students through all aspects of working with mixed methods, from research design and data collection through to analysis and conclusions. This new edition includes additional information on writing, publishing, and disseminating results, as well as information on policy impact and annotated examplars of mixed methods research studies. A new generation of mixed methods scholars can now engage with this vital text in mixed methods research. Table of ContentsPreface Publisher’s Acknowledgments About the Authors Section I: Mixed Methods: The Third Methodological Movement Chapter 1: Mixed Methods as the Third Research Community Objectives Three Communities of Researchers in the Social and Behavioral Sciences An Example of How the Three Communities Approach a Research Problem The Three Methodological Communities: Continuing Debates or Peaceful Coexistence? Differences Among Paradigms, Methodologies, and Methods Stages of Research: A Systems Approach More Details Regarding the Methodological Communities Inductive-Deductive Research Cycle (Cycle of Research Methodology) Summary Review Questions and Exercises Key Terms Chapter 2: Three Approaches to Research Objectives Methodological Distinctions Among the Three Communities: Continua, Not Dichotomy Issues Related to Mixed Methods Terms and Definitions The Utility of Mixed Methods Research Summary Review Questions and Exercises Key Terms Chapter 3: Philosophical Foundations of Mixed Methods Research Objectives A Review of Philosophical Issues Relevant to Paradigms Contemporary Points of View Regarding the Use of Paradigms Summary Review Questions and Exercises Key Terms Section II: Methods and Strategies of Mixed Methods Research Chapter 4: Inputs to the Research Process: Mixed Methods Purposes and Questions Objectives Introduction: The Initiation Stage of Research Reasons for Conducting Research in the Social and Behavioral Sciences The Emergence of Researchable Ideas in Content Areas of Interest Conducting Literature Reviews Generating Objectives for Mixed Methods Research Generating Research Questions for Mixed Methods Research Summary Review Questions and Exercises Key Terms Chapter 5: Mixed Methods Research Designs Objectives Issues Regarding Typologies of Mixed Methods Designs Criteria Used in Mixed Methods Research Typologies Quasi-Mixed Methods Designs Basic Terminology for Mixed Methods Research Designs The Sequence-Sources Design Matrix Popular Designs in Monomethod, Multimethod, and MM Research Other Typologies of Mixed Methods Research Designs Six-Step Process for Selecting or Constructing an Appropriate Mixed Methods Design Summary Review Questions and Exercises Key Terms Chapter 6: Sampling Methods and Strategies for Mixed Methods Research Objectives Sampling Methods and Strategies in the Social and Behavioral Sciences Traditional Probability Sampling Methods Traditional Purposive Sampling Methods General Considerations Concerning Mixed Methods Sampling Mixed Methods Sampling Approaches Guidelines for Mixed Methods Sampling Summary Review Questions and Exercises Key Terms Chapter 7: Considerations Before Collecting Your Data Objectives Setting the Stage: Before You Start Introduction to Data Collection in Mixed Methods Research Data Quality in the Quantitative and Qualitative Strands of Mixed Methods Research Summary Review Questions and Exercises Key Terms Chapter 8: Data Collection Methods for Mixed Methods Research Objectives Major Data Collection Methods and Mixed Methods Research Between-Methods Mixed Methods Data Collection Summary Review Questions and Exercises Key Terms Chapter 9: Data Analysis in Mixed Methods Research Objectives Analysis Strategies for Qualitative Data Four General Types of Qualitative Data Analysis Analysis Strategies for Quantitative Data Strategies for Analyzing Mixed Methods Data Applying Aspects of Analytic Frameworks of One Tradition to Data Analysis Within Another Tradition Summary Review Questions and Exercises Key Terms Chapter 10: The Inference Process in Mixed Methods Research Objectives Mixed Methods Research and Inferences What Is a Research Inference? The Process of Making Inferences Evaluating and Maximizing the Quality of Research Inferences A Complementary Elaboration to Our Integrative MM Framework Transferability of Inferences in Mixed Methods Research Summary Review Questions and Exercises Key Terms Chapter 11: From Initiation to Utilization: Planning, Implementing, Writing, and Disseminating Mixed Methods Research Objectives From Initiation to Research Utilization Conducting and Publishing Mixed Methods Studies Politics, Challenges, and Prospects Facing Mixed Methods Teaching and Learning of (Integrated) Research Methodology Challenges and Future Directions Summary Review Questions and Exercises Key Terms Appendix: Implementing Integration in an Explanatory Sequential Mixed Methods Study of Belief Bias About Climate Change With High School Students Glossary References Author Index Subject Index

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Book SynopsisThis best-selling text pioneered the comparison of qualitative, quantitative, and mixed methods research design. For all three approaches, John W. Creswell and new co-author J. David Creswell include a preliminary consideration of philosophical assumptions, key elements of the research process, a review of the literature, an assessment of the use of theory in research applications, and reflections about the importance of writing and ethics in scholarly inquiry. New to this Edition: Updated discussion on designing a proposal for a research project and on the steps in designing a research study Additional content on epistemological and ontological positioning in relation to the research question and chosen methodology and method Additional updates on the transformative worldview Expanded coverage on specific approaches such as case studies, participatory action research, and visual methods Additional information about qualitative and quantitative data analysis, social media, online qualitative methods, and mentoring and reflexivity in qualitative methods Incorporation of action research and program evaluation in mixed methods and coverage of the latest advances in the mixed methods field Additional information about causality and its relationship to statistics in quantitative methods Incorporation of writing discussion sections into each of the three methodologies An invaluable guide for students and researchers across the social and behavioural sciences.Table of ContentsAnalytic Contents of Research Techniques Preface Companion Website Acknowledgments About the Authors PART I PRELIMINARY CONSIDERATIONS Chapter 1 The Selection of a Research Approach Chapter 2 Review of the Literature Chapter 3 The Use of Theory Chapter 4 Writing Strategies and Ethical Consideration PART II DESIGNING RESEARCH Chapter 5 The Introduction Chapter 6 The Purpose Statement Chapter 7 Research Questions and Hypotheses Chapter 8 Quantitative Methods Chapter 9 Qualitative Methods Chapter 10 Mixed Methods Procedures Glossary References Author Index Subject Index

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Straightforward and accessible, this pragmatic guide takes you step-by-step through doing grounded theory research. With hands-on advice focussed around designing real projects, it demonstrates best practice for integrating theory building and methods. Its extensive examples and case studies are drawn from across the social sciences, presenting students with a range of options for both applying and using grounded theory. Clear and easy to follow, this second edition: Traces the evolution of grounded theory method and provides a clear introduction to the nuanced history of grounded theory Showcases important concepts like theory building, helping you to reflect on the wider context of your research and the contribution it makes to existing literature Offers practical advice for how to do grounded theory research, alleviating common student concerns every step of the way This new edition features two new chapters: one covering theory, and one on Theoretical Sampling. Several chapters have also undergone updates: Chapter 5 includes a wider range of perspectives including feminist and post-colonial perspectives, Chapter 9 features new, contemporary examples on how to write up your study, and Chapters 2 and 10 include new developments in the field of Grounded Theory. Supported by videos from the author sharing expert advice, this book helps you build the confidence to explore and successfully complete your own grounded theory research.

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Book SynopsisThis collection explores leading values and concepts in global child-based research through the lens of reflexivity. The book considers issues such as the identities and roles of researchers, as well as the burdens, boundaries, and ethical frameworks which govern their activities. Using empirical examples from Israel, India, Thailand, and England, expert contributors discuss a range of topics including online safety, disabilities, gang membership, safeguarding, sexting, and child prostitution. This book guides childhood research towards a more reflexive debate that critically challenges conventions, and highlights plurality of voice.Table of ContentsIntroduction - Sarah Richards and Sarah Coombs 1. Do No Online Harm: Balancing Safeguarding with Researchers and Participants in Online Research with Sensitive Populations - Michelle Lyttle Storrod 2. The Ethical Challenges of Researching Sexting with Children and Adolescents - Tsameret Ricon and Michal Dolev-Cohen 3. Responding Reflexively, Relationally and Reciprocally to Unequal Childhoods - Pallawi Sinha 4. Researching Children’s Experiences in a Conflict Zone and a Red-light Area: Conducting Ethnographic Fieldwork in India and Kashmir - Ayushi Rawat 5. Capturing Narratives: Adopting a Reflexive Approach to Research with Disabled Young People - Marianna Stella and Allison Boggis 6. Youth Social Action: Shaping Communities, Driving Change - Katie Tyrrell 7. A New Panorama of Child Voice in the Child Protection Context - Samia Michail 8. A Bump on the Head in the Graveyard: Palimpsests of Death, Selves, Care, and Touch - Sarah Coombs and Sarah Richards 9. Owning Our Mistakes: Confessions of an Unethical Researcher - Heather Montgomery

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Book SynopsisNominated for the Ludwik Fleck Prize - awarded annually to an exemplary book in Science and Technology Studies that contributes to the global STS community Nominated for the Robert K. Merton Book Award - this is awarded annually in recognition of an outstanding book on science, knowledge, and/or technology. Video data is transforming the possibilities of social science research. Whether through mobile phone footage, body-worn cameras or public video surveillance, we have access to an ever-expanding pool of data on real-life situations and interactions. This book provides a flexible framework for working with video data and understanding what it says about social life. With examples from a range of real video research projects, the book showcases step-by-step how to analyse any kind of data, including both found and generated videos. It also includes a non-technical discussion of computer vision and its opportunities for social science research. With this book you will be able to: · Complete each step of the research process fully and efficiently, from data collection to management, analysis, and interpretation · Use video data in an ethical and effective way to maximise its impact · Utilise contemporary technology and accessible platforms such as YouTube, Twitter, Tik Tok and Facebook. This book is an ideal toolkit for researchers or postgraduate students across the social sciences working with video data as a part of their research projects. Accessible and practical, is written for qualitative and quantitative researchers, newcomers and experienced scholars. Features include interactive activities for different skill levels and ‘what to read next’ sections to help you engage further with the research mentioned in the book. Trade ReviewThe book is beneficial for both beginning and advanced researchers in social sciences seeking an introduction to video data analysis. It addresses issues arising at various stages of a research project, helps with conceptualization, considers important questions to think about, and provides tools for analyzing video data. -- Astrid SchulzVideo Data Analysis is the future of social science. It shows what people do, not just what they say they do. A picture is worth 1000 words, but only if you know what to look for in it. Nassauer and Legewie show how. -- Randall CollinsAnyone from a variety of disciplines that is considering the use of video for analysis or wanting to learn more about this methodology now has a one stop resource to consider techniques and approaches. VDA frameworks, applications, limits, new directions, and more are thoughtfully presented in a comprehensive yet accessible manner for the novice and experienced researcher alike. -- John McCluskeyVDA is the perfect place to start for someone newly interested in using video data for social science research. It offers a comprehensive repository of tools, resources, and concepts for pursuing effective video-based research. -- Doron Shiffer-SebbaAs researchers increasingly turn to video data, there is a real need for a comprehensive repository of expertise about what to do with it. This book fulfils this need fulsomely. The authors are clear about their aims and coverage, advising readers to ‘take what is useful’. For many, that will be the entire volume. -- Pamela WoolnerNassauer and Legewie provide an accessible, practice-oriented guide to handling video data; a service to students and scholars who are intrigued by the abundance of videos surrounding us and want to know how to draw empirical lessons from them. -- Charlie ZaharoffVideo Data Analysis is a rare multidisciplinary textbook. The authors admirably integrate issues in the social sciences and the budding research field of digital visual analysis. Broad in scope yet accessible, this book provides novel and comprehensive methods for systematically analysing audiovisual recordings of complex real-life social phenomena. -- Chiao-I TsengCentering thoughtful, ethical, and robust social science research, Nassauer and Legewie offer a concise methodology for engaging in Video Data Analysis. Situated within our increasingly digitized and surveilled social worlds, this book presents an essential framework for the 21stcentury study of human relation -- Malika StuerznickelThis book is an incredibly useful source for the analysis of video material. The chapters are easy to understand and require no prior knowledge on visual research methods. I fully recommend it to students interested in engaging and innovative methodology. -- Katarina DacicTable of ContentsPart I: Novel Opportunities Chapter 1: The Rise of Video Data in Social Science Research A New Era Novel Opportunities Chapter 2: Video Data Analysis – A multidisciplinary Framework What is Video Data Analysis? What makes video data unique? What are limitations of video data and VDA? Part II: Conducting Video Data Analysis Chapter 3: Step 1 – Theoretical Perspectives, Object of Analysis, and Analytical Lens Choosing the theoretical perspective Reflecting on the object of study Selecting facets of analytical dimensions Chapter 4: Step 2 – Ethical Considerations What is research ethics? Research Ethics and Video Data Analysis Assessing a VDA Study from an Ethical Standpoint Chapter 5: Step 3 – Data Collection and Management Case Selection and Validity in VDA Collecting Custom-Made Data Collecting Ready-Made Data Triangulation Data Management Chapter 6: Step 4 – Analyzing Video Data Coding and concepts Timing and sequence Counts and quantifications Rhythm and turn-taking Studying Actors Social relations and networks Spacing Additional analytical tools Chapter 7: Step 5 – Presentation of Findings How was the presented data collected? Where do you present your VDA findings? Part III: Future Developments in VDA Chapter 8: Video Data Analysis and Computer Vision Computer vision in a nutshell How can computer vision help VDA? What are main challenges? Chapter 9: Conclusion: The Future of Video Data in Social Science Research Looking ahead The Dawn of Video Data Analysis

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Book SynopsisIn a world of information overload, this book will help you to cut through the noise and communicate information with clear, efficient, and engaging visualisations. Taking you on a journey through a full range of different types of visualisations including infographics and motion graphics, the book: • Explains the underlying principles behind information visualisation, including the science of visual perception and cognition • Provides easy-to-digest guidelines that bring research and best practice together • Showcases a range of real-world applied examples, and outlines the do’s and don’ts of different approaches • Shows how to use research methods to design with and for your target audience. From an expert with years of experience researching, teaching, and doing information visualisation, learn how to make better and informed decisions around visualisation design that are appropriate for both your data and audience. Trade ReviewInformation Visualisation: From Theory, To Research, To Practice and Back by Maria dos Santos Lonsdale is an excellent resource for researchers and practitioners interested in understanding the underlying principles behind information visualisation. This is a much needed book which provides easy-to-digest guidelines based on real-world applied examples. -- Antonio UzalBuilding up from key cognitive and visual principles, this book provides a comprehensive resource for designers of information graphics. As the title promises, Lonsdale weaves research and practice together, distilling a wealth of scholarship into clear, actionable guidelines. -- Mitchell WhitelawTable of ContentsUnderlying Theories For Information Visualisation From Theory To Research, To Practice From Static, To Interactive, To Motion User-Centred Research Methods For Visualisation From Theory, to Research, to Practice... And back

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Book SynopsisBiographical data provide unique insights into social life, but they also pose some significant challenges for social science researchers. This book offers a systematic, flexible guide to using biographical narrative methods in your research project. Drawing upon the authors’ own research, as well as case studies from a range of international contexts and disciplines, the book illustrates how biographical approaches can be tailored to different research questions and environments. This book will help you to: · Navigate any complexities or missteps when undertaking real-world research · Apply your analytical and research tools to your research question · Choose the right research design for your project, whether single or mixed methods · Ground your understanding within diverse real-world research examples. Clear, adaptable, and applied, this is your definitive guide to working with biographical methods.Trade ReviewThis book is a practical and thought-provoking account of the use of biographical methods in social science research. The case studies are useful for advanced students and researchers, and for anyone interested in how we tell stories about our lives. -- Rachel WicaksonoAn accessible and lively text, drawing on numerous examples to demonstrate biographical narrative research in action. The fascinating and complex world of biographical research is presented in a highly accessible way. Students and researchers will learn a great deal from reading this before embarking on research projects with any degree of biographical focus. -- Candice SatchellAnchored in studies drawn from a wide variety of disciplines, Biographical Research Methods fills glaring gaps in the literature through balanced sympathetic consideration of a wide range of methodological approaches and its illumination of both established and innovative research techniques. -- Robert MillerNarrative research in social science has come a long way since its urban life heyday. Biographical Research Methods takes this forward, deftly focusing on concepts and techniques for analyzing the contours of personal experience. Outstanding is a view to the context-specific whats and processual hows of biographical construction. -- Jaber F. GubriumThe book of Eichsteller and Davis is an extremely instructive and inviting guide for getting introduced into the social world of biography research. On the one hand, the book is an empirically grounded and unbiased "sociology of knowledge" of distinctive approaches in biography research). It lucidly contrasts different basic assumptions and their implications for concrete methodical guidelines and practical research activities. On the other hand, it is an integrative guideline for the whole arc of work in accomplishing the research act of unravelling the intimate relations between individual and society and for deciphering the features and problems of society and other collective entities as seen and experienced from the perspective of individual members of society and of other collective entities. -The book is written in an elegant and deliberate style of language and presentation; it makes you want to start your own practical research work in biography analysis. -- Prof. Dr. Fritz SchützeTable of ContentsChapter 1 Discovering biographical narrative research Chapter 2 Theoretical approaches to biographical narratives Chapter 3 Interview process and ethics Chapter 4 Autobiographical Narrative Interview Method Chapter 5 Narrative ethnography Chapter 6 - Logical systems, qualitative comparative analysis, and quantitative coding Chapter 7 Designing a project using biographical methods Chapter 8 Mixed qualitative methods Chapter 9 Mixed quantitative and qualitative methods Chapter 10 Challenges ahead for biographical research

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Book SynopsisOur world is becoming ever more data-driven, transforming how business is conducted, governance enacted, and knowledge produced. Yet, the nature of data and the scope and implications of the changes taking place are not always clear. The Data Revolution is a must read for anyone interested in why data have become so important in the contemporary era. Thoroughly updated, including ten new chapters, the book provides an accessible and comprehensive: introduction to thinking conceptually about the nature of data and the field of critical data studies overview of big data, open data and data infrastructures analysis of the utility and value of big and open data for research, business, government and civil society assessment of the concerns and risks in a data-driven world and how to prevent and mitigate them. Trade ReviewThe Data Revolution (2nd edition) is an impressive tour de force of scholarship and practice at the intersection of data, democracy and action. Grounding itself in the emerging field of Critical Data Studies, the updated edition surveys the past decade of work on open data, big vs. small data, data justice, data and research infrastructures, security, financial regimes, data activism and more. Together the chapters provide a compelling account of contemporary thinking about data as well as outline points of tension and contestation across domains. Because of its wide-ranging and interdisciplinary purview, this book will be and invaluable resource for scholars, practitioners and newcomers. -- Catherine D′IgnazioIn this extensive update of The Data Revolution, Rob Kitchin takes us on a deep dive into the practices and critiques of societies’ deepening datafication. Through his characteristic engagement with wide-ranging literatures, Kitchin introduces us to the key concepts and practices of data management and analytics, as well as the vital debates and methods that frame their critical interrogation. This is an indispensable guide for anyone looking to navigate themselves into and through the ever-growing literature on data and its critique – an essential read for any student of data. -- Dr Jo BatesThe Data Revolution is the most comprehensive and accessible introduction to the role of data in contemporary society. Not only does it build on the author’s own considerable contributions to research in the area, but it successfully integrates a tremendous number of useful insights from across academia, business, policy, and activism. This new edition amounts to a complete revision, structured around an inspiring message about what critical perspectives on data can teach us about the actual opportunities and costs of living in a data-driven society. -- Yanni LoukissasThis is more than a second edition. It is a comprehensive book that covers not only the fundamentals for understanding data and their ascendance but also the rise of critical research on the implications of data for societies. From definitions, methods and epistemologies to themes such as citizenship, data rights and justice, Kitchin has written what will serve as a foundational text on critical data studies. -- Professor Evelyn RuppertIn this extensively revised edition of The Data Revolution, Rob Kitchin takes us on a tour de force of the social science of data, charting the latest developments in critical data studies and identifying key ethical, political and cultural dimensions of increasingly powerful data technologies. A wide-ranging, thoughtful, highly informative must-read for anybody interested in disrupting glorifying narratives around the social role and impact of data. -- Sabina LeonelliData is an inescapable part of the contemporary world, and The Data Revolution is an absolutely essential read for any student, scholar or researcher who wishes to understand the societies and everyday circumstances in which we now live. This is a remarkable book in its scope, clarity, and sophistication. Rob Kitchin takes us on a meticulously researched and firmly argued, critical and illuminating journey through the evolution, issues, uses and realities of data - and in doing so provides readers with the resources they need to understand, research and act as we move forward into the possible futures that the rise of data implies. -- Sarah PinkRob Kitchin is one of the leading lights in critical data studies. Acknowledging the fast-moving nature of the field of study that is big data, with this second edition, Kitchin has marshalled an impressive array of new content that significantly updates and extends what was already a landmark book. -- Professor Deborah LuptonWith social life increasingly mediated by apps, the polity progressively regulated by dashboards, and welfare decisions more and more taken by algorithms, it is clear by now that the "data revolution" is here to stay. This book is—even more than the first edition—a must read for everyone who wants to understand our complex present and find out where the future is heading. To students and scholars, this book offers a comprehensive, detailed and engaging perspective on all there is to know about how data is changing society—from the inner workings of data infrastructures to their governance implications, from the challenges to citizenship to data activism, touching upon also key methodological and epistemological questions. For everyone else who is simply a citizen of the datafied society, The Data Revolution provides the critical building blocks of a must-have data literacy. -- Stefania MilanThe first edition of this book was a stone-cold classic. I frequently found myself pulling it from its familiar place on my bookshelf. Always useful and helpful, there are traces of its influence across my lecture slides and writings of the last few years. This substantially revised and updated second edition manages to update and respond to the field whilst maintaining the foundational qualities of the original text. This new book responds in a measured and considered way the dizzying continuation of the data revolution that it describes. -- David BeerThe Data Revolution carefully and comprehensively maps the terrain of critical data studies in order to chart a course towards a digitally mediated world that can be ethical and just. Kitchin has produced a book that will define and shape the field. -- Mark GrahamTable of ContentsPart 1: Approaching Data Chapter 1: Introducing Data Chapter 2: Critical Data Studies Part 2: The Transformed Data Landscape Chapter 3: Small Data and Data Infrastructures Chapter 4: Big Data Chapter 5: Open and Linked Data Part 3: Knowledge Production, Epistemology and Methodology Chapter 6: Data Analytics Chapter 7: The Epistemology of Academic Research Chapter 8: Practicing Critical Data Studies Part 4: The Utility and Value of Data Chapter 9: Business Chapter 10: Government and Public Services Chapter 11: Civil Society Part 5: Concerns and Risks in a Data-Driven World Chapter 12: Access, Quality and Interoperability Chapter 13: Datafication, Dataveillance and Privacy Chapter 14: Data Capitalism Chapter 15: Governance, Governmentality and Citinzenship Chapter 16: Data Security Part 6: Towards a Fairer Data World Chapter 17: Data Ethics and Data Governance Chapter 18: Data Justice and Data Activisim Chapter 19: Being Mindful of Data

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Book SynopsisNeed practical advice on how to do your first qualitative research project? This book will guide you through each step of the research process: from brainstorming ideas and working with your supervisor to navigating the field to writing up your results. Driven by examples from other students’ projects, the book features discussions on translating social problems into research topics, collecting data in the wake of a pandemic, and guidance from Qualitative Data Analysis Software expert Christian Schmieder to help you summarise, categorise, and review qualitative data. A new chapter on how much data you need answers the age-old question: ‘how many interviews or case studies are enough?’ It also includes: - Articles and websites to build your bibliography - Questions to test your knowledge - Videos from world-leading qualitative experts - Activities to dig deeper into key concepts and think critically about research - Lessons-learned discussions with other researchers - Exercises to help you choose the right path for your project. Key features: in addition to the online Silverman Workshops, the book includes top tips, end-of-chapter checklists to test your understanding, and annotated further reading so you can develop your knowledge further.Trade ReviewThere is no doubt that "Doing Qualitative Research" is a Bible for all qualitative researchers. Unlike the Bible, however, it is constantly updated, taking into account both new methods and new circumstances in which research takes place. A classic, but always relevant. -- Barbara CzarniawskaDoing Qualitative Research has evolved and deepened over its six editions as a result not only of the many conversations between its author and its readers over the years, but also the changing circumstances of the contexts in which it has been written and read. For instance, changes to research methods as a result of policy measures designed to deal with a pandemic are discussed in this edition. There is no better guide to the practical issues of doing qualitative research and getting it published than this book by Silverman, the leader in the field. -- Stewart CleggA wide-ranging and highly distinctive introduction that addresses the practices and practicalities of undertaking different forms of qualitative research. It powerfully explores the contributions of particular methods and discusses how one can address and resolve the challenges that arise at the different stages of a research project. It is an important resource for students and teachers alike. -- Christian HeathDavid Silverman notes that ‘qualitative research is a contested domain’. This is something of an under-statement, and students in particular need clear and concise guidance when seeking to grasp the complexities and harness the rich potentials of qualitative research. In his extensive writings and edited collections, Silverman provides precisely what is needed. New editions of Doing Qualitative Research have come thick and fast since 2000, each succeeding edition offering clear and incisive engagement with key aspects of qualitative research and the ways in which it, and researching generally, have developed. This new edition takes account of the global upheavals and transformations that have occurred since 2017, including the new challenges posed in data gathering and engaging in the chosen research context. The result is an invaluable resource not only for early-career but also seasoned researchers. -- Anthony BryantThis is an excellent resource that is so much more than a book. [...] This book′s strength is its accessibility and sound advice illustrated by real life examples. The book will become a well-thumbed companion to anyone committing to qualitative post graduate research in the social sciences. -- Julie Truman * Social Research Association *Table of ContentsPart One: Introduction Chapter 1: How To Use This Book Chapter 2: What You Can (and Can’t) Do with Qualitative Research What is Qualitative Research? Why Do Some Researchers Prefer Qualitative Methods? Are Qualitative Methods Always Appropriate? Should You Use Qualitative Methods? Chapter 3: Focusing a Research Project Moira’s Research Diary Sally’s Research Diary Simon’s Research Diary Part Two: Starting Out and Project Foundations Chapter 4: Formulating a Research Question Challenges Solutions Some Cautions Chapter 5: Ethical Research The Standards of Ethical Research Why Ethics Matter for Your Research Ethical Guidelines in Practice Complex Ethical Issues Research Governance Conclusion: Managing Unfolding Ethical Demands Chapter 6: Research Design Interviews Ethnographies Texts The Internet Audio Data Visual Data Mixed Methods Chapter 7: Using Theories How Theoretical Models Shape Research The Different Languages of Qualitative Research Theories, Models and Hypotheses Examples Chapter 8: Choosing a Methodology Qualitative or Quantitative? Your Research Strategy Choosing a Methodology: A Case Study Naturally Occurring Data? Mixed Methods? Chapter 9: Writing a Research Proposal Aim for Crystal Clarity Plan Before You Write Be Persuasive Be Practical Make Broader Links A Caution: Misunderstanding Qualitative Research? Part Three: Getting Support Chapter 10: Making Good Use of Your Supervisor Supervision Horror Stories Student and Supervisor Expectations The Early Stages The Later Stages Standards of Good Practice Chapter 11: Getting Feedback Writing Speaking The Art of Presenting Research Feedback from the People You Study Part Four: Collecting and Analysing Data Chapter 12: How much data do you need? The Quantitative Model of Generalization How many interviews do you need? Purposive Sampling in interview research What is a case study? The Rationale of Case Study Design Case Study Research in Practice Theoretical sampling Chapter 13: Collecting Your Data Collecting Interview Data Collecting Focus Group Data Collecting Ethnographic Data Collecting Internet Data Collecting Your Data in the Wake of a Pandemic Chapter 14: Developing Data Analysis Kick-Starting Data Analysis A Case Study Interviews Fieldnotes Transcripts Visual Data Chapter 15: Using Qualitative Data Analysis Software: An Introduction What is Qualitative Data Analysis Software? Software for Qualitative Analysis? Great - so will it do analysis for me? OK, so how can this software help me? If I decide to use QDAS, do I have to use the program for all aspects of my analysis? You continue to mention writing - why is that so important? Will QDAS help my teamwork? Hopes and Fears connected to using QDAS What hardware do I need to run QDAS? What are some strategies for learning to use QDAS, and to see if a specific software will work for my project? Tips for doing analysis with QD Chapter 16: Quality in Qualitative Research Validity Reliability Chapter 17: Effective Qualitative Research Keep It Simple Do Not Assume That We Are Only Concerned with Subjective Experience Take Advantage of Using Qualitative Data Avoid Drowning in Data Avoid Journalism Part Five: Writing Up Your Research Chapter 18: What Counts as ‘Originality’? Originality Being a Professional Independent Critical Thought Chapter 19: Considering Your Audience The Policy-Making Audience The Practitioner Audience The Lay Audience Chapter 20: The First Few Pages The Title The Abstract Keywords The Table of Contents The Introduction Chapter 21: The Literature Review Chapter Recording Your Reading Writing Your Literature Review Practical Questions Principles Do You Need a Literature Review Chapter? Chapter 22: The Methodology Chapter What Should the Methodology Chapter Contain? A Natural History Chapter? Chapter 23: Writing Your Data Chapters The Macrostructure The Microstructure Tightening up Chapter 24: Your Concluding Chapter The Concluding Chapter as Mutual Stimulation What Exactly Should Your Concluding Chapter Contain? Confessions and Trumpets Theorizing as Thinking Through Data Writing for Audiences Why Your Concluding Chapter Can Be Fun Part Six: The Aftermath Chapter 25: Managing an Oral Examination Viva Horror Stories Preparing for Your Oral Doing the Oral Outcomes Revising Your Thesis after the Oral A Case Study Chapter 26: Getting Published The Backstage Politics of Publishing Strategic Choices What Journals are Looking For Reviewers’ Comments How to Write a Short Journal Article

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

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Book SynopsisAction Research is an invaluable guide to both novice and experienced researchers from a diversity of disciplines, backgrounds, and levels of study for understanding how action research works in real-life contexts. The Fifth Edition builds on the experiences of the authors by acknowledging the dramatic changes taking place in our everyday lives, including developments of social and digital media that have become central to modern life. Author Ernest T. Stringer and new co-author Alfredo Ortiz Aragón aim to provide a meaningful methodology arising from their extensive field experience for both students and practitioners. Presenting research that produces practical, effective, and sustainable outcomes to real-world problems, Action Research helps students see the value of their research in a broader context, beyond academia, to effecting change on a larger scale. Additional resources can be found at the authors’ website Table of ContentsSECTION I: An Introduction to Action Research Chapter 1: Understanding Action Research Chapter 2: Theoretical Foundations of Action Research SECTION II: Action Research Practices and Processes Chapter 3: Setting the Stage: Initiating an Action Research Process Chapter 4: Look: Generating and Gathering Data Chapter 5: Think: Reflecting and Analyzing Chapter 6: Act: Implementing Practical Solutions SECTION III: From Local to Global—Action Research for Social Change Chapter 7: Reporting: Informing Stakeholders and Other Audiences Chapter 8: Developmental Approaches to Social and Organizational Change Chapter 9: Action Research and Digital Media Appendix: Case Examples of Formal Reports References Index

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Book SynopsisThis book offers a comprehensive guide to reading and understanding the development of Mills's sociological ideas, placing them in the context of his life and his position in American sociology. The Emerald Guide to C. Wright Mills focusses on his concern with the interrelationship between social structure and personality, and with the bureaucratisation of modern society and the power relations it produces. The book takes a chronological and biographical approach in illustrating the development of Mills's ideas and interests over the course of his career. In doing so, it reveals the consistency as well as the evolution of his thinking. Essential reading for students and those new to Mills's ideas, this is a readable, clear, and comprehensive overview of the work of C. Wright Mills, and conveys his influence on contemporary social thought.Trade ReviewThis very lively and readable book brilliantly locates Mills's work in its biographical and social context - something which was also characteristic of his own wide-ranging critical sociology. Treviño's comprehensive knowledge of Mills's work and of the American society and sociology of the period makes this much more than just an introductory book. It will be a valuable resource for specialists as well as for readers beginning an encounter with a thinker who remains highly relevant today. -- William Outhwaite, Emeritus Professor of Sociology, Newcastle University, UKProfessor Treviño's comprehensive presentation of C.Wright Mills's work, set within Mills' own framework of the dynamic between biography and history, is a great read. Mills' writings offer an approach for understanding our contemporary society in all its complexity, and Treviño's book is highly recommended for students and scholars alike as an exceptional guide into these classic texts. -- Ann Nilsen, Department of Sociology, University of Bergen, NorwayA. Javier Treviño does a service to a new generation by this introduction to the thought of C. Wright Mills. He shows how Mills worked as a sociologist, and how he developed his view of American society, and the social psychology of its different groups, out of a concern for democracy - as well as describing his transformation into a radical plain-speaking critic of Cold war liberalism and the trivializing sociology that went with it, that made him a prominent international public intellectual, a target of relentless attacks, and a hero to the New Left and to future sociologists. -- Stephen Turner, University of South Florida, USATable of ContentsChapter 1. Mills in Context Chapter 2. Mills: Life, Career, Politics Chapter 3. Pragmatism, Sociology of Knowledge, and Sociological Psychology Chapter 4. Organised Labour Chapter 5. The American Middle Classes Chapter 6. The High and the Mighty Chapter 7. Political Responsibility and Truth Chapter 8. The Sociological Imagination Chapter 9. Mills: Looking Back, Forward-Looking

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Book SynopsisDesigning Social Research aims to guide students and new researchers using everyday non-jargonised language through the jungle of setting up their own research study. Ian Greener provides readers an accessible combination of guidance on how to practically plan one′s research and understand the underpinning methodological principles that should inform the decisions we make about the methods we plan to use. This is the perfect starter book for anyone looking to design their own research project and make sense of and justify the many decisions that go into the research design process. The goal throughout is to enable students and researchers to assess the appropriateness of a range of methods and to get understanding of the strengths and limitations of different approaches to research. Greener highlights key debates in the field - both philosophical and practical - and presents them in such a way that they remain constantly relevant to research practice of his readers. Coverage includes: - Framing an effective research question/problem; - Examining the jargon of social research; - The links between theory, methodology and method; - The role of literature reviewing in research design; - Managing and planning the research process; - Sampling; - Qualitative designs; - Quantitative designs; - Mixed methods designs; - Data analysis. Designing Social Research will be ideal first reading for M-level students and undergraduates planning significant research projects for their dissertations. It will also be invaluable to first year PhD students considering how they will go about their research projects.Table of ContentsIntroduction to Social Research Design - Or What Are You Talking About? Introduction Defining terms Some general points about research questions Some other general guidelines Some practical examples of how questions, methods and philosophy combine What′s the problem, and how are you going to research it? A logic of appropriateness Conclusion Five things to remember about this chapter Reviewing What Other People Have Said - Or How Can I Tell If Others′ Research is Any Good? Introduction Nuts and bolts The hierarchy of evidence Reading efficiently and critically, and taking notes So is the study any good? Writing a review Conclusion Five things to remember about this chapter Example - ′Qualitative research and the evidence base of policy′ Surveys and Questionnaires - Or How Can I Conduct Research With People at a Distance? Introduction The use of questionnaires - the best (and worst) of quantitative (and qualitative) social research Surveys and questionnaires Perspectives on questionnaires Designing questionnaires Open and closed responses Getting questions really clear Common response forms Questionnaire design Analysing and reporting questionnaire responses Reflexivity and questionnaires Contentious issues Conclusion - working with the good and bad of questionnaires Five things to remember about this chapter Example - The Paradox of Choice Elements of Quantitative Design: Sampling and Statistics - Or What Can I Do With Numbers? Introduction Numbers and their importance What are numbers good for? The philosophy of quantitative research Sampling Some issues in quantitative analysis - basic descriptive statistics Conclusion Five things to remember about this chapter Example - Super Crunchers Ethnography as a Research Approach - Or What Do I Gain from Watching People and Talking to Them? Introduction What is ethnography? When would I want to use an ethnography? What does it mean to conduct an ethnography? Philosophical debates around ethnography What do the differences in approach mean for the resulting ethnography? What kind of research does an ethnographic research project produce? How can you increase the chance of doing good ethnographic research? Conclusion - getting close or producing useless knowledge? Five things to remember about this chapter Example - Reading Ethnographic Research Dealing with Qualitative Data - Or What Should I Do With All These Words? Introduction The aims of qualitative research Grounded theory, coding and generalisation The mechanics of grounded theory Discourse analysis and its variants Quantitative approaches to textual analysis Analysing documents What are the criteria for a good qualitative analysis? Truth in social research Conclusion - finding appropriate methods for dealing with your data Five things to remember about this chapter Example - The Body Multiple Causality in your research - or how deep should ontology go? Introduction Ontology and depth Science, method and causality Constant conjunction The world is flat Going deeper Levels of analysis Conclusion - how deep do you need to go? Five things to remember about this chapter Example - Rogue Traders and financial losses Dealing With Time and Control - Or What Time Period Suits My Research, and How Do I Stop the World from Interfering in It? Introduction How does Social research deal with time? Phenomenology and process philosophy - researching the present History and political science - researching the past What time frame fits your research, and how does time affect what you can say? The openness (and closedness) of systems A way around the problem of the experimental method - scale and sampling What are case studies for - an aid to generalisation or an analysis of power and expertise? Conclusion - time and control in social research Five things to remember about this chapter Example - accounts of the financial crisis Ethics - Or What Practices are Appropriate in my Research? 142 Introduction The importance of ethics in research The official line - what bodies such as the ESRC have to say Questioning the official line - or is it even possible to follow all these ethical principles? The importance of balance and appropriateness in ethics Different perspectives on ethics Conclusion - doing what′s right and doing what′s ethical Five things to remember about this chapter Example - ′Teenagers telling sectarian stories′ Writing Up Your Research - Or What Can I Say I′ve Found? Introduction The differences between description, analysis and argument Making an argument - what have you found out? The bases of good arguments Supporting a conclusion Other concerns with arguments Deductive and inductive arguments Structuring a piece of writing to bring out your argument Conclusion - writing up research so that it is clear to you (and to everyone else) Five things to remember about this chapter Writing up reviews and putting together proposals - or can you provide some examples of all of this? Introduction Putting together a literature review The role of the literature review Doing a literature review Exclusion and systematic review Exclusion and realist review Putting together a research proposal Conclusion - the skills of being a practising researcher Five things to remember about this chapter Conclusion - Or Getting on with Social Research Introduction Others′ claims as a basis for your own work Defining the job at hand Designing research that is appropriate for the job at hand Mixing methods Being careful with data and with ethics Writing it all up Conclusion - doing research well Example - Ladbroke Grove

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Book SynopsisThis innovative research design text will help you make informed choices when carrying out your research project. Covering both qualitative and quantitative approaches, and with examples drawn from a wide range of social science disciplines, the authors explain what is at stake when choosing a research design, and discuss the trade-offs that researchers have to make when considering issues such as: - causality - categories and classification - heterogeneity - interdependence - time This book will appeal to students and researchers looking for an in-depth understanding of research design issues to help them design their projects in a thoughtful and responsible way.Trade ReviewThis volume takes seriously the goal of unifying qualitative and quantitative methods, providing a coherent framework for understanding research design in the social science. Highly recommended.John GerringProfessor of Political Science at Boston University, where he teaches courses on methodology and comparative politics Magetti, Gilardi, and Radaelli provide scholars with a forum to reflect on the ′thinking′ and ′doing′ of social research. The authors deftly tackle the major issues related to the construction of causal explanations. An excellent primer to research design and analysis, that will cause seasoned readers to rethink core assumptions of research design and methods.Melissa WootenDepartment of Sociology, University of Massachusetts Amherst Table of ContentsSocial Sciences and Research Design Conceptual Analysis Causal Analysis Statistical Research Designs for Causal Inference Temporality Heterogeneity Interdependence Conclusions: Connecting the Dots

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Book SynopsisIt is widely acknowledged that research is an essential component of the counselling and psychotherapy core curriculum. Therapists and all care practitioners not only need to be able to understand and evaluate research literature, but are also increasingly expected to carry out simple practitioner research to monitor their own practice. With its emphasis on practice-based evidence, this book provides a much-needed, reliable and accessible introduction by two trusted and well-known authors. It builds confidence by not only outlining contemporary methodologies in everyday language, but also by explaining how to approach, understand and evaluate a range of published research. Written for complete beginners in the tried and tested, best-selling style of the other books in the "Steps" series, the book covers first principles through to the development of a simple research project. In simple terms "First Steps in Practitioner Research" provides a 'how to understand and do it' resource for students, tutors and practice supervisors with little or no previous experience.Trade ReviewI had the strangest feeling as I started to read the manuscript. Within a few pages I began to ask myself if Pete or Paul had invisibly sat on my shoulder during my classes, taken note of the issues that had confused the students, that they had worried about, struggled with and/or needed to know - and then gone away determined to address all of their questions and concerns - Dr Leonie Sugarman, Reader in Applied Psychology, University of Cumbria A uniquely valuable resource for students in the field of counselling and the helping professions. Succinct, comprehensive and highly accessible, it provides a wonderful support for those taking the first steps towards conducting, and understanding, research. Mick Cooper, Professor of Counselling, University of Strathclyde - this is the book I have been waiting for...a user-friendly book on research which is specific to the helping professions. I am delighted to see it in print. Rosemary Smith, Moray College - a no nonsense, practical and intelligent guide through the key issues involved in undertaking research - It is jam packed with valuable information and provides clear explanations of a wide range of methodologies and perspectives - all presented in an accessible way. The sections on understanding statistics are especially clear and will prove incredibly useful to practitioners who may find quantitative research daunting. Dr. Helen Spandler, Senior Research Fellow, University of Central Lancashire - the whole point is to entertain, draw in, seduce, or somehow lure nervous counselling students into the whole research thing. Robert Elliot, Professor of Counselling at Strathclyde University, Past President of the Society for Psychotherapy Research Practitioners conducting psychotherapy and counselling gain unique perspectives as they work with people confronting and overcoming obstacles that life has placed in their paths. A puzzle is how practitioners can convey their perspectives systematically to others. In this volume, two acknowledged leaders in the field, Pete Sanders and Paul Wilkins, point the way. They are accomplished writers who know their audience as well as their craft - Sanders and Wilkins do not avoid complexity, but they explain complex concepts plainly, pointing out which ideas are essential for beginners and which can be left for later. Jargon is demystified. Bill Stiles, Miami University, Editor of Person-Centered and Experiential Psychotherapies and Past President of the Society for Psychotherapy ResearchTable of ContentsWhat is research and why bother? Quantity versus Quality Asking Questions Measuring Things Using Numbers to Describe Things Quantitative Research Methods Approaching Qualitative Research Collecting Stories Understanding Contemporary Psychotherapy Research Methodology Understanding Contemporary Psychotherapy Research Reports Getting Started On Your Own Research - and Telling Other What You Found Doing Research Ethically

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Book SynopsisThis textbook introduces graduate students in education and policy research to data and statistical methods in state-level higher education policy analysis. It also serves as a methodological guide to students, practitioners, and researchers who want a clear approach to conducting higher education policy analysis that involves the use of institutional- and state-level secondary data and quantitative methods ranging from descriptive to advanced statistical techniques. This book is unique in that it introduces readers to various types of data sources and quantitative methods utilized in policy research and in that it demonstrates how results of statistical analyses should be presented to higher education policy makers. It helps to bridge the gap between researchers, policy makers, and practitioners both within education policy and between other fields.Coverage includes identifying pertinent data sources, the creation and management of customized data sets, teaching beginning and advanced statistical methods and analyses, and the presentation of analyses for different audiences (including higher education policy makers).Table of Contents1. Introduction2. Asking and answering policy questions3. Identifying data sources and creating custom datasets4. Managing data5. Getting to know “thy” data6. Using descriptive statistics and graphs7. Introducing intermediate statistical methods8. Introducing advanced statistical methods9. Presenting the analysis to higher education policy makers 10. Conclusion

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Book SynopsisThe results of Malaysia’s 14th General Elections of May 2018 were unexpected and transformative.Against conventional wisdom, the newly reconfigured opposition grouping Pakatan Harapan (PH) decisively defeated the incumbent Barisan Nasional (BN), ending six decades of uninterrupted dominant one-party rule.Despite a long-running financial scandal dogging the ruling coalition, pollsters and commentators predicted a solid BN victory or, at least, a narrow parliamentary majority. Yet, on the day, deeply rooted political dynamics and influential actors came together, sweeping aside many prevailing assumptions and reconfiguring the country’s political reality in the process.In order to understand the elections and their implications, this edited volume brings together contributions from ISEAS – Yusof Ishak Institute researchers and a group of selected collaborators to examine the elections from three angles: campaign dynamics; important trends among major interest groups; and local-level dynamics and developments in key states. This analytical work is complemented by personal narratives from a selection of GE-14 participants.

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Book SynopsisA beautiful, compelling and eye-opening guide to the way we live in Britain today.______________How much more do we drink than we should? Why do immigrants come here? How have house prices changed in the past decade? What do we spend our money on? Britain by Numbers answers all these questions and more, vividly bringing our nation to life in new and unexpected ways by showing who lives here, where we work, who we marry, what crimes we commit and much else besides.Beautifully designed and illustrated throughout, it takes the reader on a fascinating journey up and down the land, enriching their understanding of a complex - and contradictory - country.Trade ReviewAn ingenious portrayal of a nation through data and statistics. * Bristol24-7 *Table of Contents1: Who We Are 2: Family and Relationships 3: House and Home 4: Education and Employment 5: Personal Finance 6: Health and Fitness 7: Crime 8: Society and Economics 9: Lifestyle and Leisure

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Book SynopsisA classic standalone title that meets a specific, and ongoing, need of the qualitative research community. A sophisticated and nuanced introduction to coding qualitative data that is used by researchers, students, and lecturers around the world.

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Book Synopsis''Alex Edmans is such a crisp, sharp salutary voice and a great guide to the bullsh*t of the modern world'' Rory Stewart''A powerful and punchy explanation of why misinformation is a problem that affects us all'' Gillian Tett, Financial TimesA ground-breaking book that reveals why our human biases affect the way we receive and interpret information, with practical suggestions for how to think more criticallyOur lives are minefields of misinformation. Stories, statistics and studies are everywhere, allowing people to find evidence to support whatever position they want. Many of these sources are flawed, yet by playing on our emotions and preying on our biases, they can gain widespread acceptance and warp our views.In this eye-opening book, economist and professor Alex Edmans teaches us how to separate fact from fiction. Using colourful examples from a wellness guru's tragic but fabricated backstory, to the blunders that led to the Deepwater Horizon disaster Edmans highlights the biases that cause us to mistake statements for facts, facts for data, data for evidence, and evidence for proof.May Contain Lies is an essential read for anyone who wants to make better sense of the world and take clear-eyed decisions.''A passionate and dispassionate call to truth and how to achieve it' Will Hutton, Guardian''A timely book and, despite the nerdy statistical theories, is often quite funny'' Harry Wallop, The Times

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Book SynopsisTrade Review"Winner of the Harrison White Book Award, Mathematical Sociology Section of the American Sociological Association"

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Book Synopsis To become informed consumers of research, students need to thoughtfully evaluate the research they read rather than accept it without question. This second edition of a classic text gives students what they need to apply critical reasoning when reading behavioral science research. This second editionupdates the original text with recent developments in research methods, including a new chapter on meta-analyses. Part I gives a thorough overview of the steps in a research project. It focuses on how to assess whether the conclusions drawn in a behavioral science report are warranted by the methods used in the research. Topics include research hypotheses, sampling, experimental design, data analysis, interpretation of results, and ethics. Part II allows readers to practice critical thinking with a series of fictitious journal articles containing built-in flaws in method and interpretation. Clever and engaging, each article is accompanied by a commentary that points Trade Review“This volume provides a valuable background for the skills students must develop to be good consumers and producers of research.” —ChoiceThis volume provides a valuable background for the skills students must develop to be good consumers and producers of research. * Choice *Table of ContentsForward Introduction. Why Psychologists and Professionals in Related Fields Need to be Critical Thinkers Overview of the Chapters Who Will Find This Book Useful?Part I. Principles of Critical Thinking 1. Seeking Trustworthy Knowledge 2. Research Questions and Hypotheses 3. Research Variables and Strategies 4. The Sample 5. Confounding Variables and Their Control 6. Research Designs and Threats to Internal Validity 7. Manipulation and Measurement Validity 8. Data Analysis, Discussion, and Conclusions 9. Inferences, Conclusions, and the Research Report 10. Research Syntheses and Meta-Analysis 11. Research EthicsPart II. Critical Thinking Using Practice Articles Practice Article 1. Use of Counselor “Street Talk” to Stimulate Self-Disclosure of Inner-City Youths Practice Article 2. Treatment of Flying Phobia: Comparative Efficacy of Two Behavioral Methods Practice Article 3. The Effect of Divorce on Sons’ Aggression Practice Article 4. Dyslexia in Fifth-Grade Girls: Personality and Perceptual Factors Practice Article 5. Time Estimation: Effect of Depression and Pleasantness or Unpleasantness of an Experience Practice Article 6. Bossiness in Firstborn Girls Practice Article 7. Effect of Context Upon Accuracy of Recall of Affective Experiences Practice Article 8. The Effects of Medication and Cognitive Behavior Therapy on Insomnia Practice Article 9. Midlife Crises of Men at Age 50 Practice Article 10. Effect of Job Stress and Stress Management on Low Back Pain Practice Article 11. Evaluation of Health Maintenance Organizations Practice Article 12. Effects of Jury Selection Consultation on Trial Outcome Practice Article 13. Contingency Reinforcement in the Treatment of Talking Aloud to Self: A Single-Case Study Practice Article 14. The Effect of Race of Examiner on IQ Scores of American Indians Practice Article 15. Social Effects of Tax Deadline Practice Article 16. Comparative Effectiveness of Teacher Management Styles in a Fifth-Grade Classroom Practice Article 17. Age Differences in Gullibility: A Meta-Analysis Epilogue Glossary References Index About the Authors

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Book SynopsisCo-authored by an international team of experts across disciplines, this important book is one of the first to demonstrate the enormous benefit creative methods offer for education research. It illustrates how using creative methods, such as poetic inquiry, theatre and animation, can support learning and illuminate participation and engagement.Table of ContentsIntroduction Research Design Context-Setting Data Gathering Using Two Dimensional and Technological Methods – Research With Children and Young People Data Gathering Using Three Dimensional and Online Methods – Research With Adults Data Analysis Writing/Reporting Presentation Dissemination Where to Next With Creative Research Methods

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Book SynopsisUnlike other athletes, the rock climber tends to disregard established norms of style and technique, doing whatever she needs to do to get to the next foothold. This figure provides an apt analogy for the scholar at the center of this unique book. In Rocking Qualitative Social Science, Ashley Rubin provides an entertaining treatise, corrective vision, and rigorously informative guidebook for qualitative research methods that have long been dismissed in deference to traditional scientific methods. Recognizing the steep challenges facing many, especially junior, social science scholars who struggle to adapt their research models to narrowly defined notions of "right," Rubin argues that properly nourished qualitative research can generate important, creative, and even paradigm-shifting insights. This book is designed to help people conduct good qualitative research, talk about their research, and evaluate other scholars' work. Drawing on her own experiences in research and life, Rubin provides tools for qualitative scholars, synthesizes the best advice, and addresses the ubiquitous problem of anxiety in academia. Ultimately, this book argues that rigorous research can be anything but rigid.Trade Review"In this utterly refreshing account, Rubin makes the research process fun again. By deconstructing the limits we place upon ourselves as qualitative researchers, this book opens up new pathways for rigorous, empirical research that is grounded in thoughtful and reflective processes. Those new to the field and those seeking to build confidence or rethink their strategies will benefit from this readable and inspiring guide." -- Sarah Lageson * author of Give Methods a Chance *"Rocking Qualitative Social Science is Ashley Rubin's love letter to her fellow dirtbaggers—we DIY-minded scholars who ask unconventional questions, find and forge new ways to untangle complex social problems, and obsessively track down leads and explore unusual spaces. Packed with useful advice for every stage of the research process, Rubin's methodological mixtape celebrates the robust community of gritty, dedicated investigators and storytellers pushing social science forward." -- Joshua Page, Associate Professor of Sociology and Law * University of Minnesota *Table of ContentsContents and Abstracts1Introduction to Dirtbagging chapter abstractThis chapter introduces the Dirtbagging approach to qualitative social science research. The chapter lays out the main themes and arguments of the book, contrasting the Dirtbagging approach to the traditional approaches, and argues that there is no One Right Way of doing research. It also introduces rock climbing as the major motif for the book and what we can learn from rock climbers. 2Topo: What Exactly Are Qualitative Methods? chapter abstractThis chapter tries to define qualitative methods, while discussing some of the difficulties with the most common ways to define them. We begin with a rundown of the typical methods of qualitative data collection but note that qualitative data can also be quantitatively analyzed. We then review a lot of the traditional ideas or even stereotypes about qualitative methods, pointing out that they have been repeatedly challenged lately. Consequently, the easy markers of qualitative methods recited in various texts no longer hold up very well. Finally, we discuss when qualitative methods are appropriate and what type of research they let you do. 3Picking Your Proj: Identifying Your Research Question chapter abstractThis chapter seeks to do four things. First, it describes the role of research questions in the larger research process. Second, and building on that first discussion, this chapter dispels some misconceptions about research questions, especially what counts as a research question and why people disagree about this. Third, the chapter discusses strategies for coming up with a research question. Finally, it identifies some of the secrets about research questions relating to challenges and opportunities that can arise, particularly when you are Dirtbagging about in the field. 4On Belay: Connecting Your Work to an Anchor chapter abstractThis chapter discusses how to anchor your work to the academic literature. Importantly, even though there is a lot of advice out there on how to do this, much of it is unhelpful. So this chapter discusses some of the key ways in which people tend to evaluate research—not so much in its nitty gritty details of research design and analysis, but in terms of whether your entire project is worthwhile. I maintain that you can pretty much make any project valuable, but you have to be able to do certain things to convince people of your project's worth. If you can't do those things, then maybe it's not actually a good project. 5Mapping out the Route: How and When Research Design Matters chapter abstractThis chapter is the first of three chapters on research design. Research design is how you explain or justify your decisions about how to collect and analyze your data. Your explanation may not actually be what guided your decisions (the conventional idea of research design is that it takes place before you collect and analyze your data). But your ability to defend your choices is key to how we evaluate research. This chapter addresses general things about planning and executing your research, such as whether you want to map everything out carefully ahead of time or play it by ear. Keeping these things in mind—not necessarily acting on them immediately but letting them inform your decisions—will lead to a better project. 6Starting on the Right Foot: Making and Justifying Your Case Selection chapter abstractThis chapter reviews the various considerations that go into case selection, which everyone has to do (whether you think you do or not). We start with some strategies for figuring out how to select a case if you are in the design phase and don't know which case(s) to choose. Then we turn the various types of cases we use in social science; each type of case comes with its own justifications for why you might choose this case and not that case. Thinking about these justifications can also remind you about the limits of the type of case you have selected and thus what you can (and can't) claim with your study. The type of case you choose will substantially impact what you can do with your project and what type of relationship your study will have with existing theories. 7Flaking out the Rope: How to Check Your Sample chapter abstractThis chapter examines the issues you need to think about carefully when it comes to your data collection. For starters, we discuss how you decide what data to actually collect. Next, we return to one of the banes of a qualitative scholar's existence: the question of how much data are enough; but rather than worrying about what other people think is the answer to this question, we will answer it on our own terms. Finally, we talk about what you can do to really think through the limitations of your data and how to make your project stronger. Skipping these steps can (justifiably) open you up to criticism. Doing them carefully will protect you against some bad falls. 8Bivvy Time: The Fieldwork Model of Data Collection chapter abstractThis chapter discusses the process of collecting data in "the field," which I define broadly to include any place you collect your data. I have adopted this ethnographic language because it provides a broadly useful model, even for those of us doing online or archival research. In this chapter, I review the specific strategies fieldworkers use that I have found useful in my work. Some readers, who have never conducted ethnographies, will recognize these strategies, because the strategies are not unique to ethnographers. Most of the non-ethnographic methods texts I have come across have not said much about the mundane realities of data collection, while this is something at which ethnographers excel. 9The Crux: Content Analysis, Analytic Memos, and Other Tricks chapter abstractThis chapter discusses the central tools you will need as a qualitative social scientist to analyze your data. While there are certainly more advanced analysis tools, content analysis (open and focused coding) and analytic memos (notes to yourself with varying degrees of analysis) will get you through most projects. Designed and perfected by ethnographers, these tools are once again broadly applicable, whether you are conducting formal interviews, using archival data, or reviewing websites and online documents. They allow you to systematically review your data and keep track of the many insights your mind will be swimming with as you do so. 10Placing Pro: Making Causal Claims with Qualitative Data chapter abstractThis chapter discusses the tricks and tools you can use to establish causal claims and, ultimately, to give yourself—and your audience—confidence that you aren't just making shit up. The more of these tricks you use, the more confidence you will have. I think of it like climbers laying down pro—the more nuts and cams you embed on the wall, the less likely it is that you will plummet to the ground if you miss a handhold and fall. One piece of pro might pop out if it's poorly placed or there's some loose rock, but if you have several pieces placed, you're still safe. Likewise, the more of these extra steps you take, the more confidence you can have—and if you are wrong, the more you can be forgiven for believing you had it right. 11Living on the Sharp End: Dealing with Skeptics of Qualitative Research chapter abstractQualitative scholars frequently face skepticism about their ability to produce high-quality research—and in sufficient amounts. There are many implicit critiques of qualitative methods vis-á-vis quantitative methods when it comes to things like defining qualitative methods (Chapter 2) or making causal inference (Chapter 10). Underlying these critiques are basic misconceptions—on the part of not only critics but also over-eager qualitative researchers—about qualitative methods' inherent limitations. (Bad qualitative research is, sadly, one contributor to these misconceptions.) So part of learning about qualitative methods requires understanding common critiques of qualitative methods, both so you can be prepared to defend your choice of methods and so you can defend against rote critiques. 12The Sweeper chapter abstractThis chapter summarizes the Dirtbagging approach to qualitative social science and revisits why having a flexible, inclusive approach to qualitative research is beneficial for everyone.

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Book SynopsisCreative and diverse approaches to ethnographic knowledge production and writing Ethnographic research has long been cloaked in mystery around what fieldwork is really like for researchers, how they collect data, and how it is analyzed within the social sciences. Naked Fieldnotes, a unique compendium of actual fieldnotes from contemporary ethnographic researchers from various modalities and research traditions, unpacks how this research works, its challenges and its possibilities. The volume pairs fieldnotes based on observations, interviews, drawings, photographs, soundscapes, and other contemporary modes of recording research encounters with short, reflective essays, offering rich examples of how fieldnotes are composed and shaped by research experiences. These essays unlock the experience of conducting qualitative research in the social sciences, providing clear examples of the benefits and difficulties of ethnographic research

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Book SynopsisIn this book, Scott D. Churchill introduces readers to existential phenomenological research, an approach that seeks an in-depth, embodied understanding of subjective human existence that reflects a person's values, purposes, ideals, intentions, emotions, and relationships.Table of ContentsSeries Foreword—Clara E. Hill and Sarah Knox 1. Conceptual Foundations of Existential Phenomenological Research The “Human Science” Approach as a Way of Seeing What Is the Key Insight of Existential Phenomenology? Summary 2. Getting Started: Selecting an Experience to Study Formulating a Research Question Summary 3. Collecting the Data Attending to Ethical Considerations Selecting Participants Developing an Experiential “Approach” to Data Collection Data-Generating Activities 4. First Phase of Data Analysis: Focusing on Moments Within the Whole Doing Psychology Phenomenologically Mentoring EPR in the Classroom: Training the Research Team Summary 5. Second Phase of Data Analysis: Comprehensive Synthesis Individual Structural Description: A Comprehensive Synthesis General Structural Description: The Intuition of Essential Meaning Summary 6. Writing the Research Report Introduction Section Method Section Results Section Discussion Section Summary 7. Conclusions The Place of Phenomenology Within the Qualitative Tradition Achieving Methodological Integrity Strengths, Limitations, and Future Directions Appendix: Exemplar Studies References Index About the Author About the Series Editors

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Book SynopsisFrom the medicine we take, the treatments we receive, the aptitude and psychometric tests given by employers, the cars we drive, the clothes we wear to even the beer we drink, statistics have given shape to the world we inhabit. For the media, statistics are routinely 'damning', 'horrifying', or, occasionally, 'encouraging'. Yet, for all their ubiquity, most of us really don't know what to make of statistics. Exploring the history, mathematics, philosophy and practical use of statistics, Eileen Magnello - accompanied by Bill Mayblin's intelligent graphic illustration - traces the rise of statistics from the ancient Babylonians, Egyptians and Chinese, to the censuses of Romans and the Greeks, and the modern emergence of the term itself in Europe. She explores the 'vital statistics' of, in particular, William Farr, and the mathematical statistics of Karl Pearson and R.A. Fisher.She even tells how knowledge of statistics can prolong one's life, as it did for evolutionary biologist Stephen Jay Gould, given eight months to live after a cancer diagnoses in 1982 - and he lived until 2002. This title offers an enjoyable, surprise-filled tour through a subject that is both fascinating and crucial to understanding our world.

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Book SynopsisThis textbook is a comprehensive guide for students interested in using participatory research to improve people’s health and well-being. It is especially designed for those working in the fields of health and social welfare who are embarking on participatory research for the first time. It covers all phases in participatory research from “getting started,” to “acting for change,” “continuing the journey” and “articulating impact.” Its unique format helps readers understand the essence of participatory research as a comprehensive approach for doing research which is underpinned by a set of fundamental values.The many real life examples of participatory research projects from around the world inspire readers to find creative ways to manage their own research while opening up new horizons in their work. Trade Review“The intended audience is undergraduate and postgraduate students, doctoral researchers, academics, and practitioners in the health and social sciences. … it is laid out nicely and chapters are very clearly defined.” (Julie K Weibel, Doody's Book Reviews, July 05, 2019)Table of ContentsChapter 1. Making the Case: The Arguments for Participatory Research.- Chapter 2. Framing: The Search for a Lens of Understanding.- Chapter 3. Getting Started: The Initiation of a Partnership.- Chapter 4. Shaping: The Co-creation of a Research Design.- Chapter 5. Organizing: Making Plans Together.- Chapter 6. Acting for Change: The Generation of Transformative Action.- Chapter 7. Engaging: The Choice and Use of Participatory Methods.- Chapter 8. Sense Making: The Process of Data Analysis and Interpretation.- Chapter 9. Telling and Showing: The Shared Decisions About Dissemination.- Chapter 10. Capturing and Reflecting for Change: The Generation of Impact.- Chapter 11. Continuing the Journey: The Quest for Sustainable Partnerships.- Chapter 12. Epilogue: Bringing the Threads Together.

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Book SynopsisExam Board: AQALevel & Subject: AS SociologyFirst teaching: September 2015Next exams: June 2023This book contains all the key information for these AQA topics:AS 3.1.1 Education 3.1.2 Methods in Context 3.2.1 Research MethodsA-level 4.1.1 Education 4.1.2 Methods in Context.Examiners' tips throughout suggest how students can improve their exam performance.Detailed exam guidance, practice questions and sample answers are provided for each of the following: AS Paper 1 AS Paper 2 Section A A-level Paper 1.To cover A-level topic 4.1.3 Theory and Methods in full, students will also need to refer to Collins Student Support Materials for AQA A-level Sociology: Crime and Deviance with Theory and Methods (ISBN 978-0-00-822164-5).

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Book SynopsisExam Board: AQALevel & Subject: A-level SociologyFirst teaching: September 2015Next exams: June 2025Collins Student Support Materials provide an essential course companion and revision aid. Written by experienced teachers and senior examiners, each book covers the 2015 AQA specification and prepares students for examination success.AQA A-level Crime and Deviance with Theory and Methods contains all the key information for these AQA A-level topics: 4.3.1 Crime and Deviance 4.3.2 Theory and Methods.Examiners' tips throughout suggest how students can improve their exam performance.Detailed exam guidance, practice questions and sample answers are provided for each of the following: A-level Paper 3 A-level Paper 1 Question 6.To cover A-level topic 4.1.3 Theory and Methods in full, students will also need to refer to Collins Student Support Materials for AQA A-level Sociology: Education (ISBN 9780008221638).

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