Research methods / methodology Books

Book SynopsisA guide to research methods for final-year undergraduates, postgraduates taking Masters degrees and PhDs students of 19th- and 20th-century Literary Studies. Each chapter centres on one particular method, offering both advice on how to utilise it and exploring some of the methodological issues that are involved in the use of the particular method.Table of ContentsAcknowledgments; 1. Introduction (Gabriele Griffin); 2. Archival Methods (Carolyn Steedman); 3. Auto/biographical Methods (Mary Evans); 4. Oral History (Penny Summerfield); 5. Visual Methodologies (Gillian Rose); 6. Discourse Analysis (Gabriele Griffin); 7. The Uses of Ethnographic Methods in English Studies (Rachel Alsop); 8. Numbers and Words: Quantitative Methods for Scholars of Texts (Pat Hudson); 9. Textual Analysis (Catherine Belsey); 10. Interviewing (Gabriele Griffin); 11. Creative Writing as a Research Method (Jon Cook); 12. English Research Methods and the Digital Humanities (Marilyn Deegan); Notes on contributors.

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Book SynopsisThis volume includes more than 40 important articles on integrity and misconduct, biomedical research, the social and disciplinary contexts of science, research in the social sciences, the social responsibility of science and scientists, and other core issues in research ethics. A new introduction by the editor places these articles in their historical and conceptual context. The volume provides a rich library of resources, ideas and challenges in the ethics of research for any scholar concerned with such issues.Trade Review'...an excellent and useful reference for those academics, professionals and students engaged in the study and examination of research ethics irrespective of whether they are new to the field or have an established interest in it. ' Public Health Ethics '...invaluable as a source of inspiration and challenge to any student or professional engaged in a study of research ethics...' Research Ethics Review 'There is much of interest and value in this collection...' Cyrstallography ReviewsTable of ContentsContents: Introduction; Part I Foundations: Ethics and clinical research, Henry K Beecher; Experimentation in children: a re-examination of legal ethical principles, William J. Curran and Henry K. Beecher; Philosophical reflections on experimenting with human subjects, Hans Jonas; Clarifying the concepts of research ethics, Robert J. Levine. Part II Integrity and Misconduct: Fraud and the structure of science, William J. Broad; Misrepresentation and responsibility in medical research, Robert L. Engler, James W. Covell, Paul J. Friedman, Philip S. Kitcher and Richard M. Peters; Deception in scientific research, Patricia Woolf; Research integrity, Kenneth J. Ryan; From Baltimore to Bell Labs: reflections on 2 decades of debate about scientific misconduct, David B. Resnik; Trust and the future of research, Caroline Whitbeck; How to blow the whistle and still have a career afterwards, C.K. Gunsalus. Part III Biomedical Research: The conflict between randomized clinical trials and the therapeutic obligation, Fred Gifford; False hopes and best data: consent to research and the therapeutical misconception, Paul S. Appelbaum, Loren H. Roth, Charles W. Lidz, Paul Benson and William Winslade; Equipoise and the ethics of clinical research, Benjamin Freedman; Community equipoise and the ethics of the randomized clinical trials, Fred Gifford; Of mice but not men: problems of the randomized clinical trial, Samuel Hellman and Deborah S. Hellman; Randomized, controlled trials, observational studies, and the hierarchy of research designs, John Concato, Nirav Shah and Ralph I. Horwitz; A comparison of observational studies and randomized, controlled trials, Kjell Benson and Arthur J. Harz; Participation in biomedical research: the consent process as viewed by children, adolescents, young adults, and physicians, Elizabeth J. Susman, Lorah D. Dorn and John C. Fletcher; What makes clinical research ethical?, Ezekiel J. Emanuel, David Wendler and Christin Grady; What makes clinical research in developing countries ethical? The benchmarks of ethical research, Ezekiel J. Emanuel, David Wendler, Jack Killen and Christin Grady. Part IV Contexts of Science: The social process of science, Gerard Piel; Science as a vocation in the 1990s: the changing organizational culture of academic science, Edward J. Hackett; Fraud, ethics, and the disciplinary contexts of science and scholarship, Mary Frank Fox; Misconduct and social control in science: issues, problems, solutions, Mary Frank Fox and John M. Braxton; The role of culture in research misconduct, Mark S. Davis; Scientific societies as sentinels of responsible research conduct, Mark S. Frankel; Scientific societies and research integrity: what are they doing and how well are they doing it?, Margot Iverson, Mark S. Frankel, and Sanyin Siang. Part V Social Research: Psychology in action: some thoughts on the ethics of research: after reading Milgram's Behavioral Study of Obedience, Diana Baumrind; On the ethics of intervention in human psychological research: with special reference to the Stanford prison experiment, Philip G. Zimbardo; Learning to deceive, Thomas H. Murray; Observing abuse: professional ethics and personal morality in field research, Steven J. Taylor. Part VI Social Responsibility: The social responsibilities of scientists, Bertrand Russell; Notes of a biology-watcher: the hazards of science, Lewis Thomas; 2 aspects of scientific responsibility, John T. Edsall. Part VII Authorship and Data: Statistics and ethics in medical research, David L. DeMets; Problems in research integrity arising from misconceptions about the ownership of research, Kay L. Fields and Alan R. Price; The contributions of authors, Drummond Rennie, Annette Flanagin and Veronica York; Who did what? Authorship and contribution in 2001, Drummond Rennie; Reflections on determining authorship credit and authorship order on faculty-student collaborations, Mark A. Fine and Lawrence A. Kurdek. Part VIII Animals in Research: The rights of humans and other animals, Tom Regan; The case for the use of animals in biomedical research, Carl Cohen; Rethinking the morality of animal research, Jerrold Tannenbaum and Andrew N. Rowan; The moral status of mice, Harold A. Herzog Jr; Harry F. Harlow and animal research: reflection on the ethical paradox, John P. Gluck. Part IX Financial Conflicts of Interest: University research and the wages of commerce, Michael Davis; Understanding financial conflicts of interest, Dennis F. Thompson; Perception, reality, and the political context of conflict of interest in university-industry relationships, Mark S. Frankel; Is academic medicine for sale?, Marcia Angell; Index.

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Book SynopsisMarx's approach to analyzing society and especially his critique of capitalist society, continues to influence the work of a large number of scholars world-wide. Unfortunately, there are relatively few clear accounts of what this approach is and how to put it to use. And, despite the many attempts to use Marx's method to study a variety of subjects, there are relatively few that can serve as useful models. In the present volume, the internationally renowned Marxist scholar, Bertell Ollman, and the social theorist Kevin B. Anderson, have brought together a sampling of the best writings of the past hundred years that illustrate and critique Marx's method as well as explain what it is and how to put it to work. Anyone wishing to understand better Marx's dialectical method (along, of course, with the theories created with its help), or to revise this method or to criticize it, or to use it in their own work will find this collection invaluable.Trade Review’This collection of articles well illustrates the relevance and depth of Marxian analysis. It is an excellent reference.... Each article stands on its own and provides the reader with superb scholarship and impressive insights.’ Marx & Philosophy Review of BooksTable of ContentsContents: Introduction; Part I Theory and Method: Reification and the consciousness of the proletariat, Georg Lukács; The age of revolutions: industrial, social-political, intellectual, Raya Dunayevskaya; Putting dialectics to work: the process of abstraction in Marx's method, Bertell Ollman; The unity of science and revolution: Marxism as critique, Peter G. Stillman; Karl Marx's Enquête Ouvriere, Hilde Weiss (and Karl Marx). Part II Political Economy: From financial crisis to world slump: accumulation, financialization and the global slowdown, David McNally; Self-sourcing: how corporations get us to work without pay!, Martha E. Gimenez; The reproduction of daily life, Fredy Perlman; The rise and future demise of the world capitalist system: concepts for comparative analysis, Immanuel Wallerstein; The 'new' imperialism: accumulation by dispossession, David Harvey. Part III State and Politics: The constitution as an elitist document, Michael Parenti; The monopolistic economy: property and contract, Franz Neumann; The worldwide class struggle, Vincent Navarro; The economic and social functions of the legal institutions, Karl Renner; The problem of the capitalist state, Nicos Poulantzas; Reply to Nicos Poulantzas, Ralph Miliband; The Marxist case for revolution today, Ernest Mandel. Part IV The Individual and Society: Psychoanalysis and sociology, Erich Fromm; The uses and abuses of 'civil society', Ellen Meiksins Wood; Labor market and penal sanction: thoughts on the sociology of penal justice, Georg Rusche; The injuries of class, Michael D. Yates; Sports and cultural politics: the attraction of modern spectator sports, Sut Jhally and Bill Livant. Part V Culture and Religion: The culture industry: enlightenment as mass deception, Max Horkheimer and Theodor W. Adorno; Museum, Inc.: inside the global art world (over-the-cliff notes), Paul Werner; The cultural logic of late capitalism, Fredric Jameson; Aroma and shadow: Marx vs Nietzsche on religion, Ishay Landa. Part VI History: Exploitation, E.P. Thompson; The feudal mode of production, Perry Anderson; The decline and fall of Rome, G.E.M. de Ste Croix. Part VII Colonialism, Race and Gender: Negroes in the Civil War: their role in the second American revolution, C.L.R. James (J.R. Johnson); Race relations - its meaning, beginning and progress, Oliver C. Cox; The feminist standpoint: developing the ground for a specifically feminist historical materialism, Nancy C.M. Hartsock; Marx's late writings on non-Western and precapitalist societies and gender, Kevin B. Anderson. Part VIII Ecology: Marx's ecology in historical perspective, John Bellamy Foster; Marx's vision of sustainable human development, Paul Burkett; Name index.

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Book SynopsisSuad Joseph is Distinguished Research Professor of Anthropology and Gender, Sexuality and Women's Studies at the University of California, Davis in the U.S. She founded the Association for Middle East Women's Studies and co-founded its internationally recognized Journal of Middle East Women's Studies; she also founded the Arab Families Research Group, and co-founded the Arab American Studies Association and the Association for Middle East Anthropology. She has edited or co-edited eight books, published over 100 articles, and is General Editor of the highly esteemed Encyclopedia of Women and Islamic Cultures.Lena Meari is Assistant Professor at Birzeit University, Palestine, and Acting Director of their Institute of Women Studies. Previously she was a postdoctoral research at the Center for Palestine Studies at Columbia University, U.S. She specializes in the geopolitics of knowledge production, decolonized methodologies, colonial structures and coTrade ReviewEmerging from long-term collaborations and trainings, this set of critical and deeply moving essays exemplify how feminist epistemologies can productively explore the intersections of self, location and subject in different research settings and contexts. This volume is an essential addition to the library of all those interested and invested in transforming gender dynamics in the Arab region. -- Seteney Shami. Arab Council for the Social Sciences, LebanonTable of ContentsAcknowledgements 1. Introduction: The Politics of Engaged Transformative Gender Research, Suad Joseph, University of California Davis, U.S; Lena Meari, Birzeit University, Palestine; and Zeina Zaatari, University of Illinois Chicago, U.S 2. The Politics of Training for Engaged Gender Research, Suad Joseph, University of California Davis, U.S PART 1 MAGHREB (NORTH AFRICA) 3. Doing Fieldwork with Women Land Rights Activists in Morocco: Power Relationships Within Feminism and its Discursive Framework of Right, Souad Eddouada, Iben Tofail University in Kenitra, Morocco 4. The Day I Became a Gentrifier: Narratives from the Outsider/Insider Ethnographer in the Field, Reeham Mourad, The American University in Cairo, Egypt PART 2 MASHRIQ (ARAB EAST) 5. The Daily During Field Research: Settler Colonialism, Motherhood, and Knowledge Production, Rania Jawad, Birzeit University, Palestine 6. Fieldwork in the Palestinian Colonial Context: Searching for the Voices of Palestinian Women, Samar Kassis, Birzeit University, Palestine 7. The Fear Factor: Fieldwork Away from the Safety Blanket of Depoliticized Gender and Women’s Issues, Sara Ababneh, Eberhard Karls Universität Tübingen, Germany 8. Research in the Jordanian Child Welfare System: Navigating Taboo Subjects, Rawan Ibrahim, German Jordanian University, Jordan 9. Conducting Research While Death Surrounds You: The Researcher, Gender, and War in Syria, Saja Al Zoubi, University of Oxford, U.K 10. Feminist Researcher in a Conservative Islamic Society, Iraq, Ilham Makki Hammadi, Ministry of Education, Iraq PART 3 KHALEEJ (ARAB GULF) 11. Conducting Fieldwork in Shared Time and Space, Sarah Shaer, Mohammed bin Rashid School of Government, UAE 12. Personality and Perception: Aspects of the Researcher’s identity and. Their Impact on Field Research Within Diverse Locations, Kholoud Al Ajarma, The University of Edinburgh, U.K

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Book SynopsisVolume 35 examines timely subjects such as performance requirements, detection modes, and ancillary techniques for optical detectors in capillary electrophoresis; and more.Trade Review"The overall quality of the chapters in this collected volume is quite high, and each chapter would be greatly beneficial to anyone needing a quick introduction into one of the areas covered. Any library maintaining the series should definitely acquire volume 35. "---Journal of Pharmaceutical and Biomedical Analysis ". . .All of the reviews presented in this volume are not only pleasant to read but they offer a good survey of the latest achievements in the field. . .the editors should be congratulated for a well done job. For its price the volume is a good buy. "---Journal of Chromatography A "This volume will make an excellent addition to any analytical chemist's collection. "---Journal of the American Chemical Society ". . .Another thoroughly recommended reference volume for the chromatographer. "---AnalystTable of ContentsOptical detectors for capillary electrophoresis; capillary electrophoresis coupled with mass spectrometry; approaches for the optimization of experimental parameters in capillary zone electrophoresis; crawling out of chiral pool - the evolution of Pirkle-type chiral stationary phases; pharmaceutical analysis by capillary electrophoresis; chromatographic characterization of gasolines; reversed-phase ion-pair and ion-interaction chromatography; error sources in the determination of chromatographic peak area ratios.

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Book SynopsisUsing a scientific approach, this title outlines a thorough process for conducting pharmaceutical practice and policy research and presents a theoretical and practical framework for research methods, supported by applications and examples.Trade Review"Although Research Methods for Pharmaceutical Practice and Policy was designed to be an introductory textbook for graduate students in the social and administrative sciences in pharmacy, this book will be useful to other groups, including faculty and researchers in this area, and professional program students who desire to learn more about this type of research. The book is scholarly in tone and exceptionally well referenced. The book is easy to read and makes extensive use of research that has been conducted in this field." David P. Zgarrick - ScienceDirect, 2011 -- David P. Zgarrick * ScienceDirect *"The editor has assembled a book that will take the reader through the steps of research from the conception of the research question through possible journals for submission...Individuals who are interested in teaching or performing research in the area of pharmacy practice and policy should consider obtaining this book as a resource for their library." Dean L. Arneson, PharmD, PhD, American Journal of Pharmaceutical Education Vol 75 (5), 2011 -- Dean L. Arneson * American Journal of Pharmaceutical Education *Table of Contents1. Scientific Approach to Pharmaceutical Practice and Policy Research 2. Conceptualizing Research 3. Operationalizing Research 4. Measurement Theory and Methods 5. Experimental Designs 6. Non-experimental Research 7. Sampling Methods 8. Systematic Review of Literature 9. Data Collection Methods 10. Survey Design 11. Statistical Analysis 12. Secondary Data Analysis: Administrative Data 13. Secondary Data Analysis: Commercial Data 14. Secondary Data Analysis: National Sample Data 15. Program Evaluation 16. Future of Pharmaceutical Policy Research

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Book SynopsisA reader-friendly, plain English and value-for-money manual on social research methods. It describes and explains the various methods available, where to use them and the strengths and weakness involved in the use of both quantitative and qualitative methods. Suitable for both newcomers to the subject and established practitioners

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Book SynopsisDesign and research are two fields of knowledge that each has its traditions, methods, standards and practices. These two worlds appear to be quite separate, with researchers investigating what exists, and designers visualising what could be. This book builds a bridge between both worlds by showing how design and research can be integrated to develop a new field of knowledge. Applied Design Research: A Mosaic of 22 Examples, Experiences and Interpretations Focussing on Bridging the Gap between Practice and Academics contains 22 inspiring reflections that demonstrate how the unique qualities of research (aimed at studying the present) and design (aimed at developing the future) can be combined. This book shows that the transdisciplinary approach is applicable in a multitude of sectors, ranging from healthcare, urban planning, circular economy, and the food industry. Arranged in five parts, the book offers a range of illustrative examples,Table of Contents1. The Future in Sight. 2. The Urge to Improve the World. 3. Designing and Researching Together with Others. 4. Building Bridges Between Disciplines. 5. The Challenge for Applied Design Research.

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Book SynopsisCovering basic univariate and bivariate statistics and regression models for nominal, ordinal, and interval outcomes, Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with fundamental skills to estimate, interpret, and publish quantitative research using contemporary standards.Reflecting the growing importance of Big Data in the social and health sciences, this thoroughly revised and streamlined new edition covers best practice in the use of statistics in social and health sciences, draws upon new literatures and empirical examples, and highlights the importance of statistical programming, including coding, reproducibility, transparency, and open science.Key features of the book include: interweaving the teaching of statistical concepts with examples from publicly available social and health science data and literature excerpts; thoroughly integrating the teaching of statistiTrade Review"This book is a teacher’s dream. Not only does it provide a comprehensive discussion of statistics as it is actually practiced by working researchers in the social and health sciences, it also provides detailed guidance on how to carry out such analyses using Stata, one of the best available and widely used statistical packages. Finally it provides numerous examples drawn directly from the research literature. I know of no other book like it."Richard Campbell, Emeritus Professor of Public Health, University of Illinois at Chicago, USA "I taught a year-long graduate level statistics course to first year sociology, education, policy analysis and demography Ph.D. students for more than 40 years. I always pieced together material from several different textbooks, software manuals, and published articles, since no one volume met the need to provide entering graduate students with appropriate content coverage at the right difficulty level. The 2nd edition of Rachel Gordon’s book, with its excellent update, meets these needs better than any other volume I have seen."George Farkas, Distinguished Emeritus Professor of Education, University of California, Irvine, USA "I have used the first edition of Rachel Gordon’s Applied Statistics for the Social and Health Sciences in my multidisciplinary graduate-level statistics course since I began teaching it around 5 years ago. Gordon’s ability to translate complex information into practical, real-world examples that are applicable and engaging for students across the social sciences and health disciplines has helped her textbook stand out from others. The second edition enhances this even further, bringing the material fully up-to-date with recent advances, and displaying a much-needed focus on developing students’ coding skills as well as their statistical knowledge. I anticipate Gordon’s second edition becoming a standard textbook in the field for years to come."Jeffrey E. Stokes, Assistant Professor of Gerontology & Undergraduate Director of Aging Studies Program, University of Massachusetts Boston, USA "I have used—and loved—the first edition of this book for nearly a decade. However, I was thrilled to see that the new edition promises to retain the rigor and clarity of purpose of the first edition, but in a more focused and streamlined package. I look forward to adopting this book for my introductory and advanced regression courses for the next decade and beyond."Jeffrey M. Timberlake, Professor of Sociology, University of Cincinnati, USA Table of ContentsPart I: Getting ready; 1 Considering Examples of Scholarly Publications Modeling Social and Health Variables; 2 Planning and Starting a Quantitative Research Project with Existing Data;; Part II: Describing the data; 3 Graphing and Summarizing Individual Variables; 4 Introducing Population Estimation and Hypothesis Testing; 5 Estimating and Testing the Association between Two Variables; ; Part III: Estimating and presenting linear regression models; 6 Introducing the Linear Regression Model with Two Continuous Variables; 7 Considering Nonlinearity and Nonconstant Variance; 8 Including Categorical Predictor Variables; 9 Including More Than One Predictor Variable in the Model; 10 Considering Interactions among Predictor Variables; ; Part IV: Estimating and presenting generalized linear models; 11 Introducing the Generalized Linear Regression Model; 12 Analyzing Dichotomous Outcomes; 13 Analyzing Multi-Category Outcomes and Offering a Roadmap to Additional Models

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Book SynopsisFirst published Open Access under a Creative Commons license as What is Quantitative Longitudinal Data Analysis?, this title is now also available as part of the Bloomsbury Research Methods series.Across the social sciences, there is widespread agreement that quantitative longitudinal research designs offer analysts powerful scientific data resources. But, to date, many texts on analysing longitudinal social analysis surveys have been written from a statistical, rather than a social science data analysis perspective and they lack adequate coverage of common practical challenges associated with social science data analyses. This book provides a practical and up-to-date introduction to influential approaches to quantitative longitudinal data analysis in the social sciences. The book introduces definitions and terms, explains the relative attractions of such a longitudinal design, and offers an introduction to the main techniques of analysis, explaining their reqTrade ReviewAn impressive text for anyone wishing to understand the value of longitudinal data for social science research questions and the analytical techniques and practical approaches required to make effective use of such data. The clear enthusiasm and expertise of the authors for the subject shines through the text, helping the reader navigate the complexities of different kinds of longitudinal data, possible research questions and techniques with ease. It is really clearly written in a very engaging manner with examples and code making it suitable for students and researchers new to longitudinal research as well more experienced analysts. * Michaela Benzeval, Professor of Longitudinal Research, University of Essex, UK, and Director of Understanding Society: The UK Household Longitudinal Study, UK *Just as the authors intended, reading this book whetted my appetite for the rich portfolio of quantitative longitudinal data available in the UK ... Strong referencing and bibliography enable the reader to look further into influential approaches. * Research Matters *Table of ContentsSeries Editor Foreword 1. Introduction 2. Getting Started 3. Temporal Analysis with Cross-Sectional Data 4. Analysis of Data on Durations 5. Analysis of Repeated Contacts Data 6. Conclusion Bibliography Index

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Book SynopsisThe Bloomsbury Companion to Dance Studies brings together leading international dance scholars in this single collection to provide a vivid picture of the state of contemporary dance research. The book commences with an introduction that privileges dancing as both a site of knowledge formation and a methodological approach, followed by a provocative overview of the methods and problems that dance studies currently faces as an established disciplinary field. The volume contains eleven core chapters that each map out a specific area of inquiry: Dance Pedagogy, Practice-As-Research, Dance and Politics, Dance and Identity, Dance Science, Screendance, Dance Ethnography, Popular Dance, Dance History, Dance and Philosophy, and Digital Dance.Although these sub-disciplinary domains do not fully capture the dynamic ways in which dance scholars work across multiple positions and perspectives, they reflect the major interests and innovations around which dance studies has organized iTrade ReviewThose intending to teach or write about dance will find this volume of particular interest; those seeking a serious introduction to dance studies will find the collection to be an effective resource … Summing Up: Highly recommended. Lower-division undergraduates through faculty and professionals. * CHOICE *Table of ContentsList of Illustrations Notes on Contributors Acknolwedgments 1. Introduction Sherril Dodds (Temple University, USA) 2. Research Methods and Problems Rachel Fensham (Melbourne University, Australia) Current Research and Issues 3. Dance Pedagogy Edward C. Warburton (University of California, Santa Cruz, USA) 4. Practice-As-Research Vida Midgelow (Middlesex University, UK) 5. Dance and Politics Juan Ignacio Vallejos (National Council for Scientific and Technical Research, Argentina.) 6. Dance and Identity Prarthana Purkayastha (Royal Holloway, University of London, UK) 7. Dance Science Emma Redding (Trinity Laban, UK) 8. Screendance Harmony Bench (The Ohio State university, USA) 9. Dance Ethnography Yvonne Daniel (Smith College, USA) 10. Popular Dance Sherril Dodds (Temple University, USA) 11. Dance History Susan Manning (Northwestern University, USA) 12. Dance and Philosophy Anna Pakes (Roehampton University, UK) 13. Digital Dance Hetty Blades (Coventry University, USA) and Sarah Whatley (Coventry University, USA) 14. New Directions Mark Franko (Temple University, USA) 15. Annotated Bibliography Elizabeth Bergman (Temple University, USA) 16. A to Z of Key Concepts in Dance Studies Lise Uytterhoeven (London Studio Centre, UK) Index

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Book SynopsisMireille Fauchon is course leader of the MA Illustration course at Ravensbourne University, UK as well as an illustrator and researcher. Her specialisms include archival research, sociocultural narratives, and the preservation of anecdotal informal' histories, particularly those deemed difficult to access. She has published papers discussing contemporary illustration, her co-authored text Illustration Research Methods is published by Bloomsbury (2021). Mireille is illustration editor of the literary journal, AMBIT.Trade ReviewMireille Fauchon continues to pioneer the emerging field of illustration research methods. Her work is relevant in historiography, museum studies, and gender studies, in which creative practice self-reflexively engages with the past. This is a must-read for anyone looking for a way to do history differently. * Jaleen Grove, Rhode Island School of Design, USA *Table of ContentsPrelims Part I: Mise-en-Scene 1. An Introduction 2. Illustration; the problems of attributing a name 3. Illustration as Research Method Part II: The Encounter 4.On how I came to meet Katie Gliddon 5. Eruptions Part III: Representations 6. Croydon 7. The Bishopsgate 8. Parallel Narratives: engagement activities report 9. Don’t Believe the Papers: creative practice report Conclusion Bibliography

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Book SynopsisEvi Agostini is Associate Professor at the Centre for Teacher Education and the Faculty of Philosophy and Education at the University of Vienna, Austria. She is coordinator of the International Phenomenological Vignette and Anecdote Research Network (VignA).Michael Schratz is Professor of Education and Founding Dean of the School of Education at the University of Innsbruck, Austria. He has been the Scientific Director of the Austrian Leadership Academy, Project Leader of European Doctorate in Teacher Education and Chair of the Jury for the German School Award.Irma Eloff is Professor of Educational Psychology and former Dean of Education at the University of Pretoria, South Africa and Adjunct Professor at the University of Innsbruck, Austria. She is Chair of the Global Network of Deans of Education and Project Leader for the Teach4Reach project.

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Book SynopsisThis book introduces the non-specialist reader to the principal ideas, nature and purpose of social network analysis. Social networks operate on many levels, from families up to the level of nations, and play a critical role in determining the way problems are solved, organizations are run, and the degree to which individuals achieve their goals. Social network theory maps these relationships between individual actors and has become hugely influential across the social sciences. Assuming no prior knowledge of quantitative sociology, and avoiding technicalities, this book presents the key ideas in context through examples and illustrations. Using a structured approach to understanding work in this area, John Scott signposts further reading and online sources so that readers can develop their knowledge and skills to become practitioners of this research method. A series of Frequently Asked Questions takes the reader through the main objections raised against social netw

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Book SynopsisYuniya Kawamura is Professor of Sociology at the Fashion Institute of Technology, State University of New York, USA. She is the author of four other Bloomsbury Visual Arts publications: Sneakers (2016), Fashion-ology (2023), Doing Research in Fashion and Dress (2020), and Cultural Appropriation in Fashion and Entertainment (2022).

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Book SynopsisFrom pioneering leaders in the field, this is the first book to provide a solid foundation for three major stakeholder involvement approaches: collaborative, participatory, and empowerment evaluation. Highlighting differences among the approaches, the authors focus on the role of the evaluator, who may be in charge of the evaluation, share control, or serve as a critical friend, leaving stakeholders in control. Practitioners are guided to select and implement the most appropriate framework for the purpose and scope of a given evaluation and the needs of community members and funders. For each approach, a chapter on essential features is followed by two chapters presenting actual sample evaluations--for example, early childhood and community health initiatives, an aquarium, a project with Google, and more. The concluding chapter discusses similarities and circumstances in which the approaches can be combined.Trade Review“This valuable book both shows and tells on the hot topic of collaborative, participatory, and empowerment approaches. Each 'essentials' chapter gains impact from two chapters illustrating what the principles look like in actual evaluation practice. Beautifully explanatory, memorably demonstrated! The authors emphasize understanding in order to select the most appropriate stakeholder approaches for the situation at hand. Far from claiming the exclusive benefits of any single approach, the book is infused with the spirit of working together. The chapter on commonalities powerfully lays out the features of stakeholder involvement at macro-, mid-, and microlevels of analysis, creating a strong theory-to-practice bridge for newcomers as well as experts. I wish I could gift-wrap this book and send it express to evaluation practitioners in fields from agronomy to zoology."--Lois-ellin Datta, PhD, President, Datta Analysis, Kailua-Kona, Hawaii "An invaluable contribution. This book adds very helpful perspectives and insights to an enticing and alluring--but largely still under-defined--set of evaluation methodologies. It provides focus, helpful guidance, and more nuanced, differentiated conceptualizations of collaborative, participatory, and empowerment evaluation. The conceptual framing of the methodologies and the inclusion of both domestic and international cases make the book particularly helpful for training and preparing novice evaluators. I really appreciate the simplicity and clarity of the writing, as well as the specificity of the processes and procedures described. This will be a useful core text for my graduate courses in monitoring and evaluation for development practitioners, and I expect my students to keep it as a reference guide when they enter the professional field."--David Bell, EdD, Department of International Development, Community and Environment, Clark University "This book uses in-depth case studies by experts in the field to explore and highlight principles and practices of the three approaches. I found the organization very useful. I particularly appreciate the inclusion of concrete suggestions and timelines, the information on how the approaches might be applied in different contexts, and the attention to ethical concerns regarding working with marginalized or vulnerable populations. Specifying ways that the approaches can be used in one-time or multiyear studies expands the utility of the volume. Students often express the desire for practical information about how to conduct evaluations--this practical volume, nested within theoretical and methodological frameworks, addresses this need."--Isabel Bradburn, PhD, Department of Human Development, Virginia Tech “The authors provide a robust overview of the three models of stakeholder involvement. Offering a thoughtful and informed perspective, this book is a welcome addition to an evolving field. It will advance evaluator expertise as well as stakeholder participation, evaluation capacity, and use of findings. Side-by-side case studies demonstrate the flexibility of the three models under different evaluation scenarios while guiding evaluators on the practical aspects of incorporating stakeholder involvement in their designs."--Annette L. Gardner, PhD, MPH, Department of Social and Behavioral Sciences, School of Nursing, University of California, San Francisco -Table of Contents1. An Introduction to Collaborative, Participatory, and Empowerment Evaluation Approaches, David Fetterman, Liliana Rodríguez-Campos, Abraham Wandersman, Rita Goldfarb O’Sullivan, & Ann Zukoski 2. Essentials of Collaborative Evaluation, Liliana Rodríguez-Campos 3. A Collaborative Evaluation of an Aquarium (Marine Life Program), Liliana Rodríguez-Campos, Rigoberto Rincones-Gómez, & Rosalyn Roker 4. A Collaborative Evaluation of a Multisite, Multipurpose, Multiyear Early Childhood Quality Care Initiative, Rita Goldfarb O’Sullivan 5. Essentials of Participatory Evaluation, Ann Zukoski & Cate Bosserman 6. A Participatory Evaluation of a Community Health Improvement Initiative, Ann Zukoski, Cate Bosserman, & Courtney Baechler 7. A Participatory Evaluation of a Community Justice Program for Sex Offenders, Jill Anne Chouinard 8. Essentials of Empowerment Evaluation, David Fetterman & Abraham Wandersman 9. An Empowerment Evaluation of a Comprehensive Sex Education Initiative, Margret Dugan 10. A Google-Enhanced Empowerment Evaluation Approach in a Graduate School Program, David Fetterman & Jason Ravitz 11. Similarities across the Three Approaches:Principles and Practices in Common, David Fetterman, Liliana Rodríguez-Campos, Abraham Wandersman, Rita Goldfarb O’Sullivan, & Ann Zukoski 12. Conclusion: Highlighting the Present and Looking to the Future, David Fetterman, Liliana Rodríguez-Campos, Abraham Wandersman, Rita Goldfarb O’Sullivan, & Ann Zukoski

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Book SynopsisAn Easy-to-Understand Treatment of Ecological Sampling Methods and Data AnalysisIncluding only the necessary mathematical derivations, Introduction to Ecological Sampling shows how to use sampling procedures for ecological and environmental studies. It incorporates both traditional sampling methods and recent developments in environmental and ecological sampling methods.After an introduction, the book presents standard sampling methods and analyses. Subsequent chapters delve into specialized topics written by well-known researchers. These chapters cover adaptive sampling methods, line transect sampling, removal and change-in-ratio methods, plotless sampling, mark-recapture sampling of closed and open populations, occupancy models, sampling designs for environmental modeling, and trend analysis. The book explains the methods as simply as possible, keeping equations and their derivations to a minimum. It provides refeTrade Review"Manly and Navarro Alberto present a variety of both classical and modern statistical sampling techniques that are used in environmental/ecological applications. This practical and accessible monograph was a pleasure to read. Each chapter includes contributions from notable researchers, with topics ranging from adaptive sampling to line transect sampling methods, removal/change-in-ratio methods to plotless sampling, capture–recapture methods to environmental and trend analysis, as well as many others. A great beauty of this book is its wealth of worked examples based on real problems involving ecological data; the examples are well presented, clear and really easy to follow. I strongly recommend having R open in front of you when working through examples so that you can go through the analysis yourself. The book is presented in a very pragmatic fashion whereby most chapters begin by discussing key assumptions (i.e. those made prior to sampling/constructing the design) and close with an explanation of how to interpret the final results…There is also a helpful companion website to give readers additional details on data sets and software. The target audience is clearly intended to be ecologists, but overall I found that most chapters were quite general…Like many of Bryan Manly’s books, this is a very polished and expertly organised monograph. I highly recommend this book to anyone interested in sampling methods in ecology. I’m sure many readers will enjoy this monograph as much as I did!"—Jakub Stoklosa, The University of New South Wales, Australia, Australian & New Zealand Journal of Statistics, October 2016"From estimating sperm whale abundance using line transect sampling to monitoring the trend of mercury concentrations in a lake using mixed models, Introduction to Ecological Sampling provides the reader with a swath of interesting examples as it presents techniques for ecological sampling…Through useful, clear diagrams, and examples using real data, the authors explain several rather complex sampling designs with great clarity…I think the greatest strength of this book is the extensive referencing in each chapter. It is clear that in each chapter the authors know the present state of the field and therefore provide the necessary references to delve deeper into a particular method…The draft version of the book served as the class notes for an online course taught by one of the editors (Bryan Manly). For the seasoned ecological sampler, the current version of the text may suffice as a textbook for a class on ecological sampling…More than its use in the classroom, I see this book as a great introduction to ecological sampling for the independent learner, whether they are a survey statistician who wants to learn about techniques for ecological examples or an ecologist who wants to learn more about adaptive sampling because they read the phrase in an article. Introduction to Ecological Sampling is impressively both thorough and concise in its coverage of estimating population abundance and other ecological quantities. For those interested in these topics, I recommend, at the very least, that you put it on your bookshelf and crack it open when you are confronted with a difficult ecological sampling problem."—Kelly McConville, Swarthmore College, in The American Statistician, March 2016"Manly and Navarro Alberto present a variety of both classical and modern statistical sampling techniques that are used in environmental/ecological applications. This practical and accessible monograph was a pleasure to read. Each chapter includes contributions from notable researchers, with topics ranging from adaptive sampling to line transect sampling methods, removal/change-in-ratio methods to plotless sampling, capture–recapture methods to environmental and trend analysis, as well as many others. A great beauty of this book is its wealth of worked examples based on real problems involving ecological data; the examples are well presented, clear and really easy to follow. I strongly recommend having R open in front of you when working through examples so that you can go through the analysis yourself. The book is presented in a very pragmatic fashion whereby most chapters begin by discussing key assumptions (i.e. those made prior to sampling/constructing the design) and close with an explanation of how to interpret the final results…There is also a helpful companion website to give readers additional details on data sets and software. The target audience is clearly intended to be ecologists, but overall I found that most chapters were quite general…Like many of Bryan Manly’s books, this is a very polished and expertly organised monograph. I highly recommend this book to anyone interested in sampling methods in ecology. I’m sure many readers will enjoy this monograph as much as I did!"—Jakub Stoklosa, The University of New South Wales, Australia, in Australian & New Zealand Journal of Statistics, October 2016"From estimating sperm whale abundance using line transect sampling to monitoring the trend of mercury concentrations in a lake using mixed models, Introduction to Ecological Sampling provides the reader with a swath of interesting examples as it presents techniques for ecological sampling…Through useful, clear diagrams, and examples using real data, the authors explain several rather complex sampling designs with great clarity…I think the greatest strength of this book is the extensive referencing in each chapter. It is clear that in each chapter the authors know the present state of the field and therefore provide the necessary references to delve deeper into a particular method…The draft version of the book served as the class notes for an online course taught by one of the editors (Bryan Manly). For the seasoned ecological sampler, the current version of the text may suffice as a textbook for a class on ecological sampling…More than its use in the classroom, I see this book as a great introduction to ecological sampling for the independent learner, whether they are a survey statistician who wants to learn about techniques for ecological examples or an ecologist who wants to learn more about adaptive sampling because they read the phrase in an article. Introduction to Ecological Sampling is impressively both thorough and concise in its coverage of estimating population abundance and other ecological quantities. For those interested in these topics, I recommend, at the very least, that you put it on your bookshelf and crack it open when you are confronted with a difficult ecological sampling problem."—Kelly McConville, Swarthmore College, in The American Statistician, March 2016Table of ContentsIntroduction. Standard Sampling Methods and Analyses. Adaptive Sampling Methods. Line Transect Sampling. Removal and Change-in-Ratio Methods. Plotless Sampling. Introduction to Mark-Recapture Sampling and Closed-Population Models. Open-Population Mark-Recapture Models. Occupancy Models. Sampling Designs for Environmental Monitoring. Models for Trend Analysis. References.

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Book SynopsisThe first volume centred on the navigation and interpretation of digital material as research methods in the Humanities

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Book SynopsisAddresses the very notion of what creative practice research is, its challenges within the academy and the ways in which it contributes to scholarship and knowledge

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Book SynopsisPresents authoritative analyses of the religious terrain of the modernist periodTrade Review"This astounding collection woke me up from my dogmatic slumber and clich s about the secular nature of modernism. Essay after essay, one gets a clear sense of the richness, multiplicity and centrifugal potential of the varieties of modernist religious experience. This comprehensive Companion redefines modernism as spiritual, haunted by transcendence, hesitating between personal illumination and collective ritual, caught between esoteric mysticism and masochistic devotion, hence more dynamic and exciting than we thought. It will be an indispensable reference for all scholars of modernism." -Jean-Michel Rabat , University of Pennsylvania, American Academy of Arts and Sciences

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Book SynopsisThis collection considers academic research engagements with indigenous, small peasant, urban poor and labour social activism against colonial capitalist dispossession and exploitation in Asia and the Americas. Bringing together contributors from a range of different disciplines, Research, Political Engagement and Dispossession demonstrates how research done for and with these struggles against dispossession by mining, agribusiness plantations, conversation schemes, land-forest grabs, water projects, industrial disasters and the exploitation of workers and forced migrants, can make productive contributions towards advancing their social and political prospects.Trade ReviewRich in insights from practical experience, this book is essential reading for everyone who aspires to make decolonized academic knowledge serve people resisting dispossession and the silencing of their voices * John Gledhill, University of Manchester *This book is both a critical resource for evaluating research methods, and for thinking about the power and politics of struggle. * Lesley Wood, York University, Toronto *This is a truly compelling, timely, urgent volume. The complex chapters remind us of the academic obligation to engage the class struggle. * Michelle Fine, author of Just Research in Contentious Times *Table of ContentsResearch for indigenous, peasant and urban poor activism: Capital, dispossession and exploitation in the Americas and Asia - Dip Kapoor & Steven Jordan Part I: Research and Indigenous and Peasant Activisms 2.The MST and research with and for landless peasant-worker struggles in Brazil - Alessandro Mariano & Rebecca Tarlau 3.Critical oral histories and the pedagogies of dispossession and resistance in Brazil's Landless Workers’ Movement - David Meek 4.Participatory research for social change in mining and agribusiness settings in Colombia - Irene Vélez-Torres 5.Anticolonial Participatory Action Research (APAR) in Adivasi-Dalit forest-dweller and small peasant contexts of dispossession and struggle in India - Dip Kapoor 6.Conservation and palm oil dispossession in Sumatra and Sulawesi: Third-Worldist PAR, indigenous and small peasant resistance and organized activisms Hasriadi Masalam 7.PAR, local knowledge and peasant assertions in Southwestern Bangladesh: Taking back the river in contexts of NGO-led dispossession - Bijoy Barua (East-West University, Bangladesh) 8.Grassroots-oriented research as political engagement for social justice: Exposing corporate mining in indigenous contexts in the Philippines - Ligaya McGovern Part II: Research and Urban Poor Activisms 9.Countering dispossession through cooperativisation? Waste-picker ethnography, activism and the state in Buenos Aires (Argentina) and Montevideo (Paraguay) - Santiago Sorroche & Patrick O’Hare 10. Historians, guerilla history and class struggle in Argentina - Pablo Pozzi 11.Public sociology and scholar activism in the U.S.-Filipino Labor diaspora - Robyn Rodriguez 12.The Bhopal (India) struggle and neoliberal restructuring: Research, political engagement and the urban poor - Eurig Scandrett & Shalini Sharma 13.Praxis-oriented research for the building of grounded transnational Marriage Migrant Movements in Asia - Hsiao-Chuan Hsia

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Book SynopsisThis book argues for the importance of age as a source of diversity and difference amongst women. It compares three generations of women’s accounts of a range of gender issues, including the domestic division of labour, equality, abortion and sexuality. It also compares their understandings of and orientations toward the feminist movement. Drawing on Karl Mannheim’s argument that an individual’s location in historical time shapes their social outlooks or world views, it is shown that women of different ages do not share the same gendered life courses due to differing cohort memberships. Consequently, women of different ages interpret, define and give meaning to gender issues and to feminism in varied and contrasting ways. A key concern of the book is to show that findings from qualitative studies are an important supplement to surveys of cohort differences in women’s gender attitudes, in that they are more revealing of the complex ways cohort influences the construction of gender issues, including the very language used to do so.Trade Review’...a fascinating analysis of changing attitudes to the domestic division of labour, social issues and feminism during the twentieth century ...This study is unique and provides considerable insight into the everyday lives of families across the generations. It deserves to be widely read and enjoyed by academics and students alike.’ Teresa Rees, Professor of Labour Market Studies, University of Bristol, UK ’The overwhelming learning’s towards individualism found in this study have important implications for a feminist perspective based on women as a collectivity. Pilcher proves that women’s accounts of gender issues are important in their own right and must be adhered to if a future feminist politics is to thrive and be relevant to women of all ages.’ Work, Employment and SocietyTable of ContentsContents: Gender, generation and world views; Househusbands and bread winning wives: accounts of role reversal; A man’s world? accounts of equality and discrimination; A woman’s right? accounts of abortion; Freaks and normal people: accounts of homosexuality; Just a bit of fun for the men?: accounts of page three; Making things better for women or going over the top?: accounts of feminism; Conclusions; Bibliography.

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Book SynopsisObtaining research funding can be a long, laborious and stressful process. This book helps ease this process by providing practical advice, useful tips and information about funding databases and funding directories. Covering a wide variety of funding sources such as government, industry and charity, it is suitable for researchers in the UK, US, EU and further afield.Learn how to:· Find relevant sources of funding· Produce and justify your budget· Cost your project· Complete and submit your application form· Use ethical funding organizations· Avoid conflict of interest

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Book SynopsisThis book is available as open access through the Bloomsbury Open Access programme and is available on www.bloomsburycollections.com. What is Discourse Analysis? is an accessible introduction to an empirical research approach which is widely used in the social sciences and related disciplines. This book explores the idea of how meaning is socially constructed and how 'talk' and text can be interpreted. The challenges of discourse analysis are outlined as well as helpful ways to approach them - from finding the right starting point, processing and interpreting data through to building an argument. Discourse analysts work with language data, including talk, documents and broadcast material. Researchers in different traditions study interactions and social practices, meaning-making and larger meaning systems, and contests and conflicts around collective identities, social norms and subjectification. What is Discourse Analysis? addresses new researchers and other academics interested in language and its associated practices. The book outlines the history of discourse analysis, its key concepts and theorists and its uses and challenges. Discussions of published studies illustrate the use of the approach to investigate a range of research topics, such as gender, health and national identities. The book also addresses the practical aspects of discourse analysis, providing clear guidance on data collection and data processing, including transcription and selection. Covering important topics, What is Discourse Analysis? draws from recent articles to show how discourse analysis works in action. Common questions about discourse analysis are presented in a lively and accessible Q&A format. This book will be an essential resource for all researchers working with discourse analysis.Trade Review[This book] offers a coherent and wide-ranging introduction to the major developments in discourse analysis, from the very beginning to the present day ... Detailed, coherent and accessible ... an excellent resource, particularly for postgraduate students who want to pursue discourse analysis further. -- Yijin Wu and Wen Ma, Shandong University, P. R. China * Discourse Studies *Table of ContentsChapter 1: Introduction Section 1.1: What is discourse analysis? Section 1.2: Key terms Chapter 2: An academic history of discourse analysis Chapter 3: Three examples of discourse analysis Section 3.1: The construction of prejudice Section 3.2: Gender in talk Section 3.3: Discourses of health and illness Chapter 4: The usefulness of discourse analysis for social science researchers Section 4.1: Reasons to use discourse analysis and language data Section 4.2: Different forms of data Section Section 4.3: Obtaining data Chapter 5: The challenges of discourse analysis Chapter 6: Criticisms of discourse analysis Chapter 7: Summary Index

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Book SynopsisThis book tailored to the needs of researchers in examining varying methodological approaches from a practical perspective. In addition to the principal approaches now commonly used in legal research issues such as participatory and community-based research as well as empirical methods will also be

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Book SynopsisDoing Research in Education: A Beginner’s Guide is written for the novice education researcher. It offers practical advice and guidance for each step of the research process including choosing what to research; formulating a research question; deciding on a suitable research methodology; and writing a thesis. A range of research methodologies are explored within the book and each associated chapter outlines the suitability and applicability of that methodology and offers concrete suggestions for its use. Further chapters are dedicated to navigating the relevant research literature; ethics; researching vulnerable groups; the use of technology; conducting research through Irish; and connecting research to teaching practice. The book’s chapters are written by experienced education researchers, each of whom has extensive experience of guiding students through their first education research project as well as publishing widely within education themselves. This book is carefully tailored to complement existing research methodology modules and will support the student as they navigate the challenges and rewards of undertaking research in education.

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Book SynopsisThe methodological approach and methods used in any particular research project are key to its success. In Legal Research Methods: Principles and Practicalities (Clarus Press, 2016), the contributors assessed the relative utility of a variety of methods and methodologies in the context of legal research generally. Taking a case studies approach, contributors to this text have written about the methods used in a particular piece of research, outlining the justification for the choice of that methodology; describing the methods used; detailing the advantages, disadvantages and challenges to the approach taken; discussing any ethical considerations that arose in the context of the research; reflecting on the approach taken; and concluding with advice to scholars engaging with similar methods or methodologies. Each chapter is structured in the same way in order to allow for ease of comparison between the approaches taken.

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Book Synopsis

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Book SynopsisBeyond the Internet is an enlightening exposé of the myth that the Internet is a complete reference tool. The issue is not what you cannot find on the Internet, but what you miss if you only consult the Internet. The author uses case studies culled from her own work to illustrate this. These anecdotes lend a personal element to the highly practical advice contained in the tips and techniques at the end of each chapter. Recommendations are provided for future researchers. This updated edition includes a number of new case studies, as well as a chapter on the problems posed by artificial intelligence.

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Book SynopsisEach year, tens of thousands of students who are interested in politics go through a rite of passage: they take a course in research methods. Many find the subject to be boring or confusing, and with good reason. Most of the standard books on research methods fail to highlight the most important concepts and questions. Instead, they brim with dry technical definitions and focus heavily on statistical analysis, slighting other valuable methods. This approach not only dulls potential enjoyment of the course, but prevents students from mastering the skills they need to engage more directly and meaningfully with a wide variety of research. With wit and practical wisdom, Christopher Howard draws on more than a decade of experience teaching research methods to transform a typically dreary subject and teach budding political scientists the critical skills they need to read published research more effectively and produce better research of their own. The first part of the book is devoted to a

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Book SynopsisTrade Review"Crymble seamlessly integrates print, digital, oral history, and interactive source material to document the ways historians have responded, both individually and as an imagined community, to the social contexts that have shaped our interactions with technology." --Journal of American History "Crymble gives me a greater appreciation for how my own course in ‘digital history’ fits within and reflects broader patterns of discourse about technology and the past." --Corinthian Matters "This book explodes many of the foundation myths upon which digital history has been built; and replaces them with a clear-eyed account that melds historiography, technology, and pedagogy. In beautiful prose Crymble has identified the streams of influence that have shaped the field."--Tim Hitchcock, University of SussexTable of ContentsCoverTItleCopyrightContentsAcknowledgmentsIntroduction1. The Origin Myths of Computing in Historical Research2. The Archival Revisionism of Mass Digitization3. Digitizing the History Classroom4. Building the Invisible College5. The Rise and Fall of the Scholarly Blog6. The Digital Past and the Digital FutureAppendix: Digital History Syllabus Corpus (2002–2017)Glossary: A New VocabularyNotesBibliographyIndexBack cover

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Book SynopsisThe first all-inclusive introduction to modern statistical research methods in the natural resource sciences he use of Bayesian statistical analysis has become increasingly important to natural resource scientists as a practical tool for solving various research problems.Trade Review?The book provides case studies illustrating common problems that exist in natural resource sciences, and presents the statistical knowledge and tools needed for a modem treatment of these issues.? (APADE, 2009) "The book's strength lie in the choice of material, the explication of methods and use, and detail of the code provided ? The bottom line is this book is useful. It is designated not merely to give you a sense of these often-neglected statistical methods but to get you up and running on them. It does a phenomenal job of that task." (Ecology, November 2008) "Stauffer's book seems very suitable for second statistics on modern regression modeling focusing on Bayesian thinking." (Journal of the American Statistician, December 2008) "Stauffer's book seems very suitable for second statistics on modern regression modeling focusing on Bayesian thinking." (Journal of the American Statistician, Dec 2008) "This is an excellent book presenting difficult statistical ideals by using data obtained from real-life situations." (CHOICE May 2008) "An ideal text for natural resource students studying statistical research methods at the upper-undergraduate or graduate level and also service as a valuable problem-solving guide." (Mathematical Reviews 2008)Table of ContentsPreface. 1. Introduction. 1.1 Introduction. 1.2 Three Case Studies. 1.3 Overview of Some Solution Strategies. 1.4 Review: Principles of Project Management. 1.5 Applications. 1.6 S-Plus ® and R Orientation I: Introduction. 1.7 S-Plus and R Orientation II: Distributions. 1.8 S-Plus and R Orientation III: Estimation of Mean and Proportion, Sampling Error, and Confidence Intervals. 1.9 S-Plus and R Orientation IV: Linear Regression. 1.10 Summary. Problems. 2. Bayesian Statistical Analysis I: Introduction. 2.1 Introduction. 2.2 Three Methods for Fitting Models to Datasets. 2.3 The Bayesian Paradigm for Statistical Inference: Bayes Theorem. 2.4 Conjugate Priors. 2.5 Other Priors. 2.6 Summary. Problems. 3. Bayesian Statistical Inference II: Bayesian Hypothesis Testing and Decision theory. 3.1 Bayesian Hypothesis Testing: Bayes Factors. 3.2 Bayesian Decision Theory. 3.3 Preview: More Advanced Methods of Bayesian Statistical Analysisâ??Markov Chain Monte Carlo (MCMC) Algorithms and WinBUGS Software. 3.4 Summary. Problems. 4. Bayesian Statistical Inference III: MCMC Algorithms and WinBUGS Software Applications. 4.1 Introduction. 4.2 Markov Chain Theory. 4.3 MCMC Algorithms. 4.4 WinBUGS Applications. 4.5 Summary. Problems. 5. Alternative Strategies for Model Selection and Inference Using Information-Theoretic Criteria. 5.1 Alternative Strategies for Model Selection and Influence: Descriptive and Predictive Model Selection. 5.2 Descriptive Model Selection: A Posteriori Exploratory Model Selection and Inference. 5.3 Predictive Model Selection: A Priori Parsimonious Model Selection and Inference Using Information-Theoretic Criteria. 5.4 Methods of Fit. 5.5 Evaluation of Fit: Goodness of Fit. 5.6 Model Averaging. 5.7 Applications: Frequentist Statistical Analysis in S-Plus and R; Bayesian Statistical Analysis in WinBUGS. 5.8 Summary. Problems. 6. An Introduction to Generalized Linear Models: Logistic Regression Models. 6.1 Introduction to Generalized Linear Models (GLMs). 6.2 GLM Design. 6.3 GLM Analysis. 6.4 Logistic Regression Analysis. 6.5 Other Generalized Linear Models (GLMs). 6.6 S-Plus or R and WinBUGS Applications. 6.7 Summary. Problems. 7. Introduction to Mixed-Effects Modeling. 7.1 Introduction. 7.2 Dependent Datasets. 7.3 Linear Mixed-Effects Modeling: Frequentist Statistical Analysis in S-Plus and R. 7.4 Nonlinear Mixed-Effects Modeling: Frequentist Statistical Analysis in S-Plus and R. 7.5 Conclusions: Frequentist Statistical Analysis in S-Plus and R. 7.6 Mixed-Effects Modeling: Bayesian Statistical Analysis in WinBUGS. 7.7 Summary. Problems. 8. Summary and Conclusions. 8.1 Summary of Solutions to Chapter 1 Case Studies. 8.2 Appropriate Application of Statistics in the Natural Resource Sciences. 8.3 Statistical Guidelines for Design of Sample Surveys and Experiments. 8.4 Two Strategies for Model Selection and Inference. 8.5 Contemporary Methods for Statistical Analysis I: Generalized Linear Modeling and Mixed-Effects Modeling. 8.6 Contemporary Methods in Statistical Analysis II: Bayesian Statistical Analysis Using MCMC Methods with WinBUGS Software. 8.7 Concluding Remarks: Effective Use of Statistical Analysis and Inference. 8.8 Summary. Appendix A. review of Linear regression and Multiple Linear regression Analysis. A.1 Introduction. A.2 Least-Square Fit: The Linear Regression Model. A.3 Linear Regression and Multiple Linear Regression Statistics. A.4 Stepwise Multiple Linear Regression Methods. A.5 Best-Subsets Selection Multiple Linear Regression. A.6 Goodness of Fit. Appendix B. Answers to Problems. References. Index.

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Book SynopsisMethods in Educational Research Methods in Educational Research is designed to prepare students for the real world of educational research. It focuses on scientifically-based methods, school accountability, and the professional demands of the twenty-first century, empowering researchers to take an active role in conducting research in their classrooms, districts, and the greater educational community. Like the first edition, this edition helps students, educators, and researchers develop a broad and deep understanding of research methodologies. It includes substantial new content on the impact of No Child Left Behind legislation, school reform, quantitative and qualitative methodologies, logic modeling, action research, and other areas. Special features to assist the teaching and learning processes include vignettes illustrating research tied to practice, suggested readings at the end of each chapter, and discussion questions to reinforce chapter content. Praise for thTable of ContentsBoxes, Exhibits, Figures, and Tables ix Preface xix Acknowledgments xxiii The Authors xxv 1 Introduction to Educational Research 1 Chapter Objectives 1 Educational Accountability and Educational Research 2 Conducting Educational Research 10 Philosophical Frameworks for Educational Research 13 Research Ethics 17 2 Types of Educational Research Designs and Related Major Concepts 25 Chapter Objectives 25 Types of Approaches Used in Educational Research 26 3 Descriptive Statistics 47 Chapter Objectives 47 Characteristics of Data 48 Summarizing Data Using Descriptive Statistics 50 4 Educational Measurement: Archival Data and Standardized Instruments 81 Chapter Objectives 81 Measurement in Education 82 Evaluating the Quality of Standardized Instruments: Reliability and Validity 95 Issues in Finding and Using Standardized Instruments 104 5 Qualitative Measures and Procedures 115 Chapter Objectives 115 Characteristics of Qualitative Measurement 116 Sampling in Qualitative Research 138 6 Qualitative Research 145 Chapter Objectives 145 Research Vignette 146 Understanding Qualitative Research 146 Steps in Designing Qualitative Research 165 Evaluating Narrative Inquiry and Phenomenological Research 171 7 Organization and Analysis of Qualitative Data 185 Chapter Objectives 185 Analysis of Qualitative Data 186 Steps in Analyzing Qualitative Data 186 8 Descriptive Survey Research: Quantitative Research 205 Chapter Objectives 205 Research Vignette 206 Characteristics of Descriptive Survey Research 206 Steps in Conducting Descriptive Survey Research 209 Evaluating Descriptive Survey Research 231 9 Experimental Research 237 Chapter Objectives 237 Research Vignette 238 Understanding Experimental Research 238 Steps in Planning and Conducting Experimental Research 240 Threats to Experimental Validity 252 Single-Subject Research Designs 264 10 Nonexperimental Approaches: Causal-Comparative and Correlational Research 277 Chapter Objectives 277 Research Vignette 278 Causal-Comparative Research 278 Correlational Research 284 Multiple Regression Studies 301 11 Inferential Statistics 307 Chapter Objectives 307 Beyond Descriptive Statistics: Inferential Statistics 308 Steps in Analyzing Data Using Inferential Tests 317 Designs with More than One Independent or Dependent Variable 320 12 Action Research 325 Chapter Objectives 325 Research Vignette 326 Understanding Action Research 327 Steps in Conducting Action Research 336 Data Sources for Action Research 345 Evaluation of Action Research 362 13 Program Evaluation in Education 377 Chapter Objectives 377 Research Vignette 378 What Is Program Evaluation? 379 Types, Approaches, and Models of Program Evaluation 387 Steps in Designing Program Evaluation 391 Program Evaluation Data and Critiquing Evaluation Reports 392 Training and Careers in Program Evaluation 394 14 Identifying and Researching a Topic 399 Chapter Objectives 399 Getting Started 400 Identify a Research Topic 400 Refine Your Topic as You Search 403 Search the Literature 406 Identify and Summarize Key Information from Articles 421 When Do I Have Enough? 422 15 The Research Proposal 427 Chapter Objectives 427 Preparing a Research Proposal 428 References 445 Appendix A 453 Appendix B 487 Index 517

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Book SynopsisProvides timely applications, modifications, and extensions of experimental designs for a variety of disciplines Design and Analysis of Experiments, Volume 3: Special Designs and Applications continues building upon the philosophical foundations of experimental design by providing important, modern applications of experimental design to the many fields that utilize them. The book also presents optimal and efficient designs for practice and covers key topics in current statistical research. Featuring contributions from leading researchers and academics, the book demonstrates how the presented concepts are used across various fields from genetics and medicinal and pharmaceutical research to manufacturing, engineering, and national security. Each chapter includes an introduction followed by the historical background as well as in-depth procedures that aid in the construction and analysis of the discussed designs. Topical coverage includes: Trade Review “The presentation by Wiley is superb, as we have come to expect. All in all, this is a first class offering.”( International Statistical Review, 1 October 2012) Table of ContentsPreface xvii Contributors xxi 1 Genetic Crosses Experiments 1 Murari Singh, Sudhir Gupta, and Rajender Parsad 1.1 Introduction, 1 1.2 Basic Objectives and Models, 2 1.3 Diallel Mating Design of Type I, 8 1.4 Diallel Crosses: Type II Designs, 14 1.5 Partial Diallel Crosses: No Blocking or Complete Blocks, 25 1.6 Partial Diallel Crosses in Incomplete Blocks, 32 1.7 Optimality, 44 1.8 Robustness, 59 1.9 Three- or Higher-Way Crosses, 61 1.10 Computation, 65 2 Design of Gene Expression Microarray Experiments 73 Dan Nettleton 2.1 Introduction, 73 2.2 Gene Expression Microarray Technology, 74 2.3 Preprocessing of Microarray Fluorescence Intensities, 76 2.4 Introduction to Gene Expression Microarray Experimental Design, 80 2.5 Two-Treatment Experiments Using Two-Color Microarrays, 81 2.6 Two-Color Microarray Experiments Involving More Than Two Treatments, 86 2.7 Multifactor Two-Color Microarray Experiments, 89 2.8 Phase 2 Designs for Complex Phase 1 Designs, 94 3 Spatial Analysis of Agricultural Field Experiments 109 Joanne K. Stringer, Alison B. Smith, and Brian R. Cullis 3.1 Introduction, 109 3.2 Methods to Account for Spatial Variation, 110 3.3 A Spatial Linear Mixed Model, 116 3.4 Analysis of Examples, 122 4 Optimal Designs for Generalized Linear Models 137 John Stufken and Min Yang 4.1 Introduction, 137 4.2 Notation and Basic Concepts, 141 4.3 Tools for Finding Locally Optimal Designs, 145 4.4 GLMs with Two Parameters, 149 4.5 GLMs with Multiple Parameters, 155 4.6 Summary and Concluding Comments, 161 5 Design and Analysis of Randomized Clinical Trials 165 Janet Wittes and Zi-Fan Yu 5.1 Overview, 165 5.2 Components of a Randomized Clinical Trial, 168 5.3 Bias, 175 5.4 Statistical Analysis of Randomized Clinical Trials, 182 5.5 Failure Time Studies, 184 5.6 Other Topics, 206 6 Monitoring Randomized Clinical Trials 213 Eric S. Leifer and Nancy L. Geller 6.1 Introduction, 213 6.2 Normally Distributed Outcomes, 215 6.3 Brownian Motion Properties, 217 6.4 Brief Historical Overview of Group Sequential Methods, 219 6.5 Dichotomous Outcomes, 223 6.6 Time-to-Event Outcomes, 225 6.7 Unconditional Power, 227 6.8 Conditional Power, 229 6.9 Spending Functions, 232 6.10 Flexibility and Properties of Spending Functions, 233 6.11 Modifying the Trial’s Sample Size Based on a Nuisance Parameter, 235 6.12 Sample Size Modification Based on the Interim Treatment Effect, 240 6.13 Concluding Remarks, 246 7 Adaptive Randomization in Clinical Trials 251 Lanju Zhang and William F. Rosenberger 7.1 Introduction, 251 7.2 Adaptive Randomization Procedures, 252 7.3 Likelihood-Based Inference, 264 7.4 Randomization-Based Inference, 269 7.5 Conclusions and Practical Considerations, 276 8 Search Linear Model for Identification and Discrimination 283 Subir Ghosh 8.1 Introduction, 283 8.2 General Linear Model with Fixed Effects, 284 8.3 Search Linear Model, 285 8.4 Applications, 288 8.5 Effects of Noise in Performance Comparison, 293 9 Minimum Aberration and Related Criteria for Fractional Factorial Designs 299 Hegang H. Chen and Ching-Shui Cheng 9.1 Introduction, 299 9.2 Projections of Fractional Factorial Designs, 302 9.3 Estimation Capacity, 304 9.4 Clear Two-Factor Interactions, 307 9.5 Estimation Index, 310 9.6 Estimation Index, Minimum Aberration, and Maximum Estimation Capacity, 314 9.7 Complementary Design Theory for Minimum Aberration Designs, 315 9.8 Nonregular Designs and Orthogonal Arrays, 317 9.9 Generalized Minimum Aberration, 320 9.10 Optimal Fractional Factorial Block Designs, 322 10 Designs for Choice Experiments for the Multinomial Logit Model 331 Deborah J. Street and Leonie Burgess 10.1 Introduction, 331 10.2 Definitions, 332 10.3 The MNL Model, 335 10.4 Design Comparisons, 338 10.5 Optimal Designs for DCEs, 340 10.6 Using Combinatorial Designs to Construct DCEs, 364 10.7 Bayesian Work, 368 10.8 Best–Worst Experiments, 368 10.9 Miscellaneous Topics, 370 11 Computer Experiments 379 Max D. Morris 11.1 Introduction, 379 11.2 Sensitivity/Uncertainty Analysis, 382 11.3 Gaussian Stochastic Process Models, 385 11.4 Inference, 389 11.5 Experimental Designs, 398 11.6 Multivariate Output, 403 11.7 Multiple Data Sources, 406 11.8 Conclusion, 409 12 Designs for Large-Scale Simulation Experiments, with Applications to Defense and Homeland Security 413 Susan M. Sanchez, Thomas W. Lucas, Paul J. Sanchez, Christopher J. Nannini, and Hong Wan 12.1 Introduction, 413 12.2 Philosophy: Evolution of Computational Experiments, 414 12.3 Application: U.S. Army Unmanned Aerial Vehicle (UAV) Mix Study, 422 12.4 Parting Thoughts, 437 13 Robust Parameter Designs 443 Timothy J. Robinson and Christine M. Anderson-Cook 13.1 Introduction, 443 13.2 Taguchi Signal-to-Noise Ratio Approach, 445 13.3 Dual Model Response Surface Methodology, 448 13.4 Single Model Response Surface Methods Using Combined Arrays, 451 13.5 Computer Generated Combined Arrays, 461 13.6 RPD Involving Quantitative and Qualitative Factors, 465 13.7 Conclusions, 466 14 Split-Plot Response Surface Designs 471 G. Geoffrey Vining 14.1 Introduction, 471 14.2 Differences between Agricultural and Industrial Experimentation, 472 14.3 OLS–GLS Equivalent Second-Order Split-Plot Designs and Analysis, 482 14.4 Exact Tests for the Coeffi cients, 488 14.5 Proper Residuals for Checking Assumptions, 493 14.6 "Optimal" Second-Order Split-Plot Designs, 496 15 Design and Analysis of Experiments for Directional Data 501 Sango B. Otieno and Christine M. Anderson-Cook 15.1 Summary, 501 15.2 Introduction and Historical Background, 501 15.3 ANOVA for Circular Data, 509 15.4 ANOVA for Cylindrical Data, 521 15.5 ANOVA for Spherical Data, 524 15.6 Conclusions, 530 References, 531 Author Index 533 Subject Index 545

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Book SynopsisA practical, one-stop reference on the theory and applications of statistical data editing and imputation techniques Collected survey data are vulnerable to error. In particular, the data collection stage is a potential source of errors and missing values.Table of ContentsPreface ix 1 Introduction to Statistical Data Editing and Imputation 1 1.1 Introduction 1 1.2 Statistical Data Editing and Imputation in the Statistical Process 4 1.3 Data, Errors, Missing Data, and Edits 6 1.4 Basic Methods for Statistical Data Editing and Imputation 13 1.5 An Edit and Imputation Strategy 17 References 21 2 Methods for Deductive Correction 23 2.1 Introduction 23 2.2 Theory and Applications 24 2.3 Examples 27 2.4 Summary 55 References 55 3 Automatic Editing of Continuous Data 57 3.1 Introduction 57 3.2 Automatic Error Localization of Random Errors 59 3.3 Aspects of the Fellegi–Holt Paradigm 63 3.4 Algorithms Based on the Fellegi–Holt Paradigm 65 3.5 Summary 101 3.A Appendix: Chernikova’s Algorithm 103 References 104 4 Automatic Editing: Extensions to Categorical Data 111 4.1 Introduction 111 4.2 The Error Localization Problem for Mixed Data 112 4.3 The Fellegi–Holt Approach 115 4.4 A Branch-and-Bound Algorithm for Automatic Editing of Mixed Data 129 4.5 The Nearest-Neighbor Imputation Methodology 140 References 158 5 Automatic Editing: Extensions to Integer Data 161 5.1 Introduction 161 5.2 An Illustration of the Error Localization Problem for Integer Data 162 5.3 Fourier–Motzkin Elimination in Integer Data 163 5.4 Error Localization in Categorical, Continuous, and Integer Data 172 5.5 A Heuristic Procedure 182 5.6 Computational Results 183 5.7 Discussion 187 References 189 6 Selective Editing 191 6.1 Introduction 191 6.2 Historical Notes 193 6.3 Micro-selection: The Score Function Approach 195 6.4 Selection at the Macro-level 208 6.5 Interactive Editing 212 6.6 Summary and Conclusions 217 References 219 7 Imputation 223 7.1 Introduction 223 7.2 General Issues in Applying Imputation Methods 226 7.3 Regression Imputation 230 7.4 Ratio Imputation 244 7.5 (Group) Mean Imputation 246 7.6 Hot Deck Donor Imputation 249 7.7 A General Imputation Model 255 7.8 Imputation of Longitudinal Data 261 7.9 Approaches to Variance Estimation with Imputed Data 264 7.10 Fractional Imputation 271 References 272 8 Multivariate Imputation 277 8.1 Introduction 277 8.2 Multivariate Imputation Models 280 8.3 Maximum Likelihood Estimation in the Presence of Missing Data 285 8.4 Example: The Public Libraries 295 References 297 9 Imputation Under Edit Constraints 299 9.1 Introduction 299 9.2 Deductive Imputation 301 9.3 The Ratio Hot Deck Method 311 9.4 Imputing from a Dirichlet Distribution 313 9.5 Imputing from a Singular Normal Distribution 318 9.6 An Imputation Approach Based on Fourier–Motzkin Elimination 334 9.7 A Sequential Regression Approach 338 9.8 Calibrated Imputation of Numerical Data Under Linear Edit Restrictions 343 9.9 Calibrated Hot Deck Imputation Subject to Edit Restrictions 349 References 358 10 Adjustment of Imputed Data 361 10.1 Introduction 361 10.2 Adjustment of Numerical Variables 362 10.3 Adjustment of Mixed Continuous and Categorical Data 377 References 389 11 Practical Applications 391 11.1 Introduction 391 11.2 Automatic Editing of Environmental Costs 391 11.3 The EUREDIT Project: An Evaluation Study 400 11.4 Selective Editing in the Dutch Agricultural Census 420 References 426 Index 429

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Book SynopsisQuantitative and Statistical Research Methods This user-friendly textbook teaches students to understand and apply procedural steps in completing quantitative studies. It explains statistics while progressing through the steps of the hypothesis-testing process from hypothesis to results. The research problems used in the book reflect statistical applications related to interesting and important topics. In addition, the book provides a Research Analysis and Interpretation Guide to help students analyze research articles. Designed as a hands-on resource, each chapter covers a single research problem and offers directions for implementing the research method from start to finish. Readers will learn how to: Pinpoint research questions and hypotheses Identify, classify, and operationally define the study variables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem <Table of ContentsTables and Figures ix Preface xvii The Authors xix Chapter 1 Introduction and Overview 1 Review of Foundational Research Concepts 3 Review of Foundational Statistical Information 6 The Normal Distribution 14 Chapter 2 Logical Steps of Conducting Quantitative Research: Hypothesis-Testing Process 29 Hypothesis-Testing Process 30 Chapter 3 Maximizing Hypothesis Decisions Using Power Analysis 39 Balance between Avoiding Type I and Type II Errors 41 Chapter 4 Research and Statistical Designs 53 Formulating Experimental Conditions 54 Reducing the Imprecision in Measurement 55 Controlling Extraneous Experimental Influences 57 Internal Validity and Experimental Designs 59 Choosing a Statistic to Use for an Analysis 67 Chapter 5 Introduction to IBM SPSS 20 77 The IBM SPSS 20 Data View Screen 80 Naming and Defining Variables in Variable View 80 Entering Data 86 Examples of Basic Analyses 87 Examples of Modifying Data Procedures 96 Chapter 6 Diagnosing Study Data for Inaccuracies and Assumptions 99 Research Example 100 Chapter 7 Randomized Design Comparing Two Treatments and a Control Using a One-Way Analysis of Variance 129 Research Problem 130 Study Variables 131 Research Design 133 Stating the Omnibus (Comprehensive) Research Question 135 Hypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 136 Hypothesis Testing Step 2: Establish the Null Hypothesis (H0) 137 Hypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 138 Hypothesis Testing Step 4: Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True 143 Hypothesis Testing Step 5: Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates 144 Hypothesis Testing Step 6: Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals 162 Formula Calculations of the Study Results 166 Chapter 8 Repeated-Treatment Design Using a Repeated-Measures Analysis of Variance 183 Research Problem 184 Study Variables 185 Research Design 186 Stating the Omnibus (Comprehensive) Research Question 189 Hypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 190 Hypothesis Testing Step 2: Establish the Null Hypothesis (H0) 191 Hypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 192 Hypothesis Testing Step 4: Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True 195 Hypothesis Testing Step 5: Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates 196 Hypothesis Testing Step 6: Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals 216 Formula Calculations of the Study Results 218 Chapter 9 Randomized Factorial Experimental Design Using a Factorial ANOVA 231 Research Problem 232 Study Variables 232 Research Design 233 Stating the Omnibus (Comprehensive) Research Questions 237 Hypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 238 Hypothesis Testing Step 2: Establish the Null Hypothesis (H0) 240 Hypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 241 Hypothesis Testing Step 4: Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 Is True 247 Hypothesis Testing Step 5: Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates 248 Hypothesis Testing Step 6: Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals 271 Formula Calculations of the Study Results 278 Chapter 10 Analysis of Covariance 297 Research Problem 298 Study Variables 299 Research Design 300 Stating the Omnibus (Comprehensive) Research Question 301 Hypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 301 Hypothesis Testing Step 2: Establish the Null Hypothesis (H0) 302 Hypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 302 Hypothesis Testing Step 4: Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 is True 306 Hypothesis Testing Step 5: Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates 307 Hypothesis Testing Step 6: Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes and Confidence Intervals 324 Formula ANCOVA Calculations of the Study Results 327 ANCOVA Study Results 339 Chapter 11 Randomized Control Group and Repeated-Treatment Designs and Nonparametics 345 Research Problem 346 Study Variables 346 Research Design 347 Stating the Omnibus (Comprehensive) Research Question 349 Hypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 349 Hypothesis Testing Step 2: Establish the Null Hypothesis (H0) 350 Hypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 350 Hypothesis Testing Step 4: Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 is True 354 Hypothesis Testing Step 5: Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates 355 Hypothesis Testing Step 6: Make Decision Regarding the H0 and Interpret Post Hoc Effect Sizes 370 Formula Calculations 376 Nonparametric Research Problem Two: Friedman’s Rank Test for Correlated Samples and Wilcoxon’s Matched-Pairs Signed-Ranks Test 382 Chapter 12 Bivariate and Multivariate Correlation Methods Using Multiple Regression Analysis 401 Research Problem 402 Study Variables 402 Research Method 403 Stating the Omnibus (Comprehensive) Research Question 405 Hypothesis Testing Step 1: Establish the Alternative (Research) Hypothesis (Ha) 405 Hypothesis Testing Step 2: Establish the Null Hypothesis (H0) 406 Hypothesis Testing Step 3: Decide on a Risk Level (Alpha) of Rejecting the True H0 Considering Type I and II Errors and Power 406 Hypothesis Testing Step 4: Choose Appropriate Statistic and Its Sampling Distribution to Test the H0 Assuming H0 is True 407 Hypothesis Testing Step 5: Select Sample, Collect Data, Screen Data, Compute Statistic, and Determine Probability Estimates 407 Hand Calculations of Statistics 423 Chapter 13 Understanding Quantitative Literature and Research 439 Interpretation of a Quantitative Research Article 440 References 461 Index 465

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Book SynopsisA comprehensive research guide for both quantitative and qualitative research methods Written by a team of authorities in human-computer interaction (HCI) and usability, this pedagogical guide walks you through the methods used in HCI and examines what are considered to be appropriate research practices in the field.Table of ContentsAbout the Authors xvii Acknowledgments xviii Preface xix 1 Introduction 1 1.1 Changes in topics of HCI research over time 3 1.2 Shifts in measurement in HCI 5 1.3 Inherent conflicts in HCI 9 1.4 Interdisciplinary nature of HCI research 11 1.5 Communicating your ideas 13 1.6 Research and usability testing 14 Summary of Chapters 14 Discussion Questions 15 Research Design Exercise 16 References 16 2 Experimental Research 19 2.1 Types of behavioral research 20 2.2 Research hypotheses 22 2.2.1 Null hypothesis and alternative hypothesis 23 2.2.2 Dependent and independent variables 25 2.2.3 Typical independent variables in HCI research 25 2.2.4 Typical dependent variables in HCI research 26 2.3 Basics of experimental research 27 2.3.1 Components of an experiment 27 2.3.2 Randomization 28 2.4 Significance tests 30 2.4.1 Why do we need them? 30 2.4.2 Type I and Type II errors 32 2.4.3 Controlling the risks of Type I and Type II errors 34 2.5 Limitations of experimental research 34 Summary 36 Discussion Questions 37 Research Design Exercises 38 References 38 3 Experimental Design 41 3.1 What needs to be considered when designing experiments? 43 3.2 Determining the basic design structure 44 3.3 Investigating a single independent variable 45 3.3.1 Between-group design and within-group design 46 3.3.2 Choosing the appropriate design approach 49 3.4 Investigating more than one independent variable 53 3.4.1 Factorial design 53 3.4.2 Split-plot design 54 3.4.3 Interaction effects 55 3.5 Reliability of experimental results 57 3.5.1 Random errors 57 3.5.2 Systematic errors 57 3.6 Experimental procedures 63 Summary 64 Discussion Questions 65 Research Design Exercises 65 References 66 4 Statistical Analysis 69 4.1 Preparing data for statistical analysis 70 4.1.1 Cleaning up data 70 4.1.2 Coding data 71 4.1.3 Organizing data 73 4.2 Descriptive statistics 73 4.2.1 Measures of central tendency 73 4.2.2 Measures of spread 74 4.3 Comparing means 74 4.4 T tests 76 4.4.1 Independent-samples t test 76 4.4.2 Paired-samples t test 76 4.4.3 Interpretation of t test results 77 4.4.4 Two-tailed t tests and one-tailed t tests 78 4.5 Analysis of variance 78 4.5.1 One-way ANOVA 79 4.5.2 Factorial ANOVA 80 4.5.3 Repeated measures ANOVA 82 4.5.4 ANOVA for split-plot design 83 4.6 Assumptions of t tests and F tests 86 4.7 Identifying relationships 86 4.8 Regression 89 4.9 Nonparametric statistical tests 91 4.9.1 Chi-square test 92 4.9.2 Other non-parametric tests 94 Summary 94 Discussion Questions 95 Research Design Exercises 96 Team Exercises 96 References 96 5 Surveys 99 5.1 Introduction 100 5.2 Benefits and drawbacks of surveys 101 5.3 Goals and targeted users for survey research 102 5.4 Probabilistic sampling 103 5.4.1 Stratification 105 5.4.2 Response size 106 5.4.3 Errors 106 5.5 Non-probabilistic sampling 107 5.5.1 Demographic data 107 5.5.2 Oversampling 108 5.5.3 Random sampling of usage, not users 109 5.5.4 Self-selected surveys 109 5.5.5 Uninvestigated populations 109 5.6 Developing survey questions 111 5.6.1 Open-ended questions 111 5.6.2 Closed-ended questions 112 5.6.3 Common problems with survey questions 113 5.7 Overall survey structure 113 5.8 Existing surveys 115 5.9 Paper or online surveys? 116 5.10 Testing the survey tool 118 5.11 Response rate 119 5.12 Data analysis 120 Summary 121 Discussion Questions 121 Research Design Exercise 122 References 122 6 Diaries 125 6.1 Introduction 126 6.2 Why do we use diaries in HCI research? 127 6.3 Participants for a diary study 130 6.4 What type of diary? 132 6.4.1 Feedback diary 132 6.4.2 Elicitation diary 133 6.4.3 Hybrid feedback and elicitation diary 134 6.5 Data collection for the diary study 134 6.6 Letting participants know when to record a diary entry 136 6.7 Analysis of diaries 137 Summary 138 Discussion Questions 138 Research Design Exercise 138 References 139 Appendix A Frustration Experience Form (Time Diary) 140 Appendix B Excel Time Diary Form 141 7 Case Studies 143 7.1 Introduction 144 7.2 Observing Sara: a case study of a case study 145 7.3 What is a case study? 147 7.3.1 In-depth investigation of a small number of cases 147 7.3.2 Examination in context 147 7.3.3 Multiple data sources 148 7.3.4 Emphasis on qualitative data and analysis 149 7.4 Goals of HCI case studies 150 7.4.1 Exploration 150 7.4.2 Explanation 151 7.4.3 Description 152 7.4.4 Demonstration 154 7.5 Types of case study 156 7.5.1 Intrinsic or instrumental 156 7.5.2 Single case or multiple cases 156 7.5.3 Embedded or holistic 160 7.6 Research questions and hypotheses 161 7.7 Choosing cases 163 7.8 Data collection 164 7.8.1 Data sources and questions 164 7.8.2 Collecting data 165 7.9 Analysis and interpretation 167 7.10 Writing up the study 168 7.11 Informal case studies 170 Summary 172 Discussion Questions 174 Research Design Exercises 174 References 175 8 Interviews and Focus Groups 177 8.1 Pros and cons of interviews 178 8.2 Applications of interviews in HCI research 180 8.2.1 Initial exploration 180 8.2.2 Requirements gathering 184 8.2.3 Evaluation and subjective reactions 186 8.3 Who to interview 187 8.4 Interview strategies 189 8.4.1 How much structure? 189 8.4.2 Focused and contextual interviews 191 8.5 Interviews vs focus groups 192 8.6 Types of question 194 8.7 Conducting an interview 197 8.7.1 Preparation 197 8.7.2 Recording the responses 198 8.7.3 During the interview 199 8.8 Electronically mediated interviews and focus groups 203 8.8.1 Telephone 204 8.8.2 Online 204 8.9 Analyzing interview data 206 8.9.1 What to analyze 207 8.9.2 How to analyze 208 8.9.3 Validity 212 8.9.4 Reporting Results 212 Summary 213 Discussion Questions 214 Research Design Exercises 214 References 215 9 Ethnography 217 9.1 Introduction 218 9.2 What is ethnography? 219 9.3 Ethnography in HCI 221 9.4 Conducting ethnographic research 224 9.4.1 Selecting a site or group of interest 225 9.4.2 Participating: choosing a role 227 9.4.3 Building relationships 230 9.4.4 Making contact 231 9.4.5 Interviewing, observing, analyzing, repeating, and theorizing 232 9.4.6 Reporting results 236 9.5 Some examples 237 9.5.1 Home settings 237 9.5.2 Work settings 238 9.5.3 Educational settings 239 9.5.4 Ethnographies of mobile and ubiquitous systems 240 9.5.5 Virtual ethnography 241 Summary 246 Discussion Questions 246 Research Design Exercises 247 References 248 10 Usability Testing 251 10.1 What is usability testing? 252 10.2 How does usability testing relate to traditional research? 254 10.3 Types of usability testing or usability inspections 256 10.3.1 Expert-based testing 256 10.3.2 Automated usability testing 258 10.4 User-based testing 260 10.4.1 Types of usability testing 260 10.4.2 Stages of usability testing 262 10.4.3 How many users are sufficient? 263 10.4.4 Locations for usability testing 264 10.4.5 Task list 268 10.4.6 Measurement 270 10.4.7 The testing session 271 10.4.8 Making sense of the data 274 10.5 Other variations on usability testing 275 Summary 276 Discussion Questions 276 Research Design Exercise 277 References 277 11 Analyzing Qualitative Data 281 11.1 Introduction 282 11.2 Stages of qualitative analysis 282 11.3 Grounded theory 283 11.4 Content analysis 285 11.4.1 What is content? 286 11.4.2 Why do we need to collect text or multimedia information? 286 11.4.3 Questions to consider before content analysis 287 11.5 Analyzing text content 289 11.5.1 Procedure 289 11.5.2 Identifying coding categories 290 11.5.3 Coding the text 292 11.5.4 Ensuring high-quality analysis 294 11.6 Analyzing multimedia content 300 Summary 301 Discussion Questions 302 Research Design Exercise 303 References 303 12 Automated Data Collection Methods 307 12.1 Exploiting existing tools 308 12.1.1 Web logs 309 12.1.2 Stored application data 315 12.2 Using software to observe and record 317 12.2.1 Web proxies 317 12.2.2 Instrumented software 321 12.2.3 Custom-built software 324 12.2.4 Handling stored data 327 12.2.5 Keystroke and activity loggers 328 12.2.6 Analyzing log files 329 12.3 Hybrid data collection methods 330 12.4 Automated interface evaluation 333 12.5 Challenges of computerized data collection 333 Summary 336 Discussion Questions 337 Research Design Exercises 338 References 339 13 Measuring the Human 343 13.1 Eye tracking 344 13.2 Physiological tools 350 13.2.1 Physiological data 351 13.2.2 Challenges in data collection and interpretation 356 13.3 Examples of physiological research in HCI 359 Summary 361 Discussion Questions 362 Research Design Exercise 363 References 363 14 Working with Human Subjects 367 14.1 Identifying potential participants 368 14.1.1 Which subjects? 369 14.1.2 How many subjects? 371 14.1.3 Recruiting participants 373 14.2 Care and handling of research participants 376 14.2.1 Protecting participants 376 14.2.2 Informed consent 381 14.2.3 Institutional review boards 384 14.2.4 Potentially deceptive research? 387 14.2.5 General concerns 388 14.3 Online research 389 14.3.1 Appropriate topics for online research 389 14.3.2 Recruiting 389 14.3.3 Study design 391 14.3.4 Ethical concerns 391 14.3.5 Data collection 392 Summary 393 Discussion Questions 394 Research Design Exercises 395 References 396 15 Working with Research Participants with Impairments 399 15.1 Introduction 400 15.2 How many participants? 401 15.2.1 Small sample sizes 401 15.2.2 Distributed research 401 15.2.3 In-depth case studies 402 15.3 Proxy users 403 15.4 Multi-Population Studies 404 15.5 Recruiting users through community partners 405 15.6 Pilot studies 407 15.7 Scheduling users with impairments 408 15.8 Documentation for users with impairments 409 15.8.1 Human subjects forms 409 15.8.2 Research documentation 410 15.9 Differing levels of ability 412 15.10 Bringing extra computer parts 413 15.11 Payment 415 Summary 415 Discussion Questions 415 Research Design Exercise 416 References 416 Index 419

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Book SynopsisStatistical complex survey analysis is a means to analyse the results, and gain information about a large population based on a complex survey of a sample of that population. A complex survey is a sample survey that divides the population into subgroups and collecting information from clusters within each subgroup and combining the results.Trade Review"As in the previous edition, this book is a good resource for practitioners and cross-disciplinary researchers who use data from complex survey designs." (Journal of the American Statistical Association, March 2006) "The first edition of the book was one of the first books in the excellent Wiley U.K. series on Statistics in Practice." (Technometrics, May 2005)Table of ContentsPreface. 1. Introduction. 2. Basic Sampling Techniques. 2.1 Basic definitions. 2.2 The Province’91 population. 2.3 Simple random sampling and design effect. 2.4 Systematic sampling and intra-class correlation. 2.5 Selection with probability proportional to size. 3. Further Use of Auxiliary Information. 3.1 Stratified sampling. 3.2 Cluster sampling. 3.3 Model-assisted estimation. 3.4 Efficiency comparison using design effects. 4. Handling Nonsampling Errors. 4.1 Reweighting. 4.2 Imputation. 4.3 Chapter summary and further reading. 5. Linearization and Sample Reuse in Variance Estimation. 5.1 The Mini-Finland Health Survey. 5.2 Ratio estimators. 5.3 Linearization method. 5.4 Sample reuse methods. 5.5 Comparison of variance estimators. 5.6 The Occupational Health C are Survey. 5.7 Linearization method for covariance-matrix estimation. 5.8 Chapter summary and further reading. 6. Model-assisted Estimation for Domains. 6.1 Framework for domain estimation. 6.2 Estimator type and model choice. 6.3 Construction of estimators and model specification. 6.4 Further comparison of estimators. 6.5 Chapter summary and further reading. 7. Analysis of One-way and Two-way Tables. 7.1 Introductory example. 7.2 Simple goodness-of-fit test. 7.3 Preliminaries for tests for two-way tables. 7.4 Test of homogeneity. 7.5 Test of independence. 7.6 Chapter summary and further reading. 8. Multivariate Survey Analysis. 8.1 Range of methods. 8.2 Types of models and options for analysis. 8.3 Analysis of categorical data. 8.4 Logistic and linear regression. 8.5 Chapter summary and further reading. 9. More Detailed Case Studies. 9.1 Monitoring quality in a long-term transport survey. 9.2 Estimation of mean salary in a business survey. 9.3 Model selection in a socioeconomic survey. 9.4 Multi-level modelling in an educational survey. References. Author Index. Subject Index. Web Extension. In addition to the printed book, electronic materials supporting the use of the book can be found in the web extension.

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Book Synopsis A simple and systematic guide to the planning and performance of investigations concerned with health and disease and with health care Offers researchers help in choosing a topic and to think about shaping objectives and ideas and to link these with the appropriate choice of method Fully updated with new sections on the use of the Web and computer programmes freely available in the planning, performance or analysis of studies Table of ContentsPreface vii 1. First steps 1 2. Types of investigation 13 3. Stages of an investigation 35 4. Formulating the objectives 39 5. The objectives of evaluative studies 49 6. The study population 61 7. Control groups 69 8. Sampling 77 9. Selecting cases and controls for case-control studies 91 10. The variables 101 11. Defining the variables 109 12. Definitions of diseases 117 13. Scales of measurement 125 14. Composite scales 133 15. Methods of collecting data 143 16. Reliability 151 17. Validity 161 18. Interviews and self-administered questionnaires 179 19. Constructing a questionnaire 193 20. Surveying the opinions of a panel: consensus methods 203 21. The use of documentary sources 209 22. Planning the records 225 23. Planning the handling of data 233 24. Pretests and other preparations 241 25. Collecting the data 247 26. Statistical analysis 251 27. Interpreting the findings 259 28. Making sense of associations 269 29. Application of the study findings 297 30. Writing a report 305 31. Rapid epidemiological methods 313 32. Clinical trials 325 33. Programme trials 345 34. Community-oriented primary care 357 35. Using the Web for health research 373 Appendix A Community appraisal: a checklist 383 Appendix B Random numbers 387 Appendix C Free computer programs 389 Index 407

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Book SynopsisIn the past two decades, methods for the development, evaluation, and testing of survey questionnaires have changed radically. Research has also begun to evaluate the strengths and weaknesses of alternative techniques, and to examine the generality and consistency of their results.Trade Review"...a superb resource...The writing style of each of the authors is uniformly excellent. This volume should be in every survey practitioner's library." (Contemporary Sociology, July 2005) "...the ultimate resource for writing statistically valid surveys." (Technometrics, May 2005) "Questionnaires are an emerging issue is survey sampling, and this book will be an important tool for researchers and survey practitioners." (Journal of the American Statistical Association, June 2005) “This volume is essential for anyone collecting or using survey data.” (Journal of the Royal Statistical Society Series A, June 2005) “…informative and interesting…makes a significant contribution to the development and testing of questionnaires…” (www.biomedical-engineering-online.com, 2005 4:3)Table of ContentsContributors. Preface. 1. Methods for Testing and Evaluating Survey Questions (Stanley Presser, et al.). PART I: COGNITIVE INTERVIEWS. 2. Cognitive Interviewing Revisited: A Useful Technique, in Theory (Gordon B. Willis). 3. The Dynamics of Cognitive Interviewing (Paul Beatty). 4. Data Quality in Cognitive Interviews: The Case of Verbal Reports (Fred G. Conrad and Johnny Blair). 5. Do Different Cognitive Interview Techniques Produce Different Results (Theresa J. DeMaio and Ashley Landreth)? PART II: SUPPLEMENTS TO CONVENTIONAL PRETESTS. 6. Evaluating Survey Questions by Analyzing Patterns of Behavior Codes and Question-Answer Sequences (Johannes van der Zouwen and Johannes H. Smit). 7. Response Latency and (Para) Linguistic Expressions as Indicators of Response Error (Stasja Draisma and Wil Dijkstra). 8. Vignettes and Respondent Debriefing for Questionnaire Design and Evaluation (Elizabeth Martin). PART III: EXPERIMENTS. 9. The Case for More Split-Sample Experiments in Developing Survey Instruments (Floyd Jackson Fowler). 10. Using Field Experiments to Improve Instrument Design: The SIPP Methods Panel Project (Jeffrey Moore, et al.). 11. Experimental Design Considerations for Testing and Evaluating Questionnaires (Roger Tourangeau). PART IV: STATISTICAL MODELING. 12. Modeling Measurement Error to Identify Flawed Questions (Paul Biemer). 13. Item Response Theory (IRT) Modeling for Questionnaire Evaluation (Bryce B. Reeve and Louise C. Mâsse). 14. Development and Improvement of Questionnaires Using Predictions of Reliability and Validity (William E. Saris, et al.). PART V: MODE OF ADMINISTRATION. 15. Testing Paper Self-administered Questionnaires: Cognitive Interview and Field Test Comparisons (Don A. Dillman and Cleo D. Redline). 16. Methods for Testing and Evaluating Computer-Assisted Questionnaires (John Tarnai and Danna L. Moore). 17. Usability Testing to Evaluate Computer-Assisted Survey Instruments (Sue Ellen Hansen and Mick P. Couper). 18. Development and Testing of Web Questionnaires (Reginald P. Baker, et al.). PART VI: SPECIAL POPULATIONS. 19. Evolution and Adaptation of Questionnaire Development, Evaluation and Testing for Establishment Surveys (Diane K. Willimack, et al.). 20. Pretesting Questionnaires for Children and Adolescents (Edith de Leeuw, et al.). 21. Developing and Evaluating Cross-National Survey Insteuments (Tom W. Smith). 22. Survey Questionnaire Translation and Assessment (Janet Harkness, et al.). PART VII: MULTI-METHOD APPLICATIONS. 23. A Multiple-Method Approach to Improving the Clarity of Closely Related Concepts: Distinguishing Legal and Physical Custody of Children (Nora Cate Schaeffer and Jennifer Dykema). 24. Multiple Methods for Developing and Evaluating a Stated-Choice Questionnaire to Value Wetlands (Michael D. Kaplowitz, et al.). 25. Does Pretesting Make a Difference? An Experimental Test (Barbara Forsyth, et al.). References. Index.

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