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case study vs experiment: Optimal Design of Experiments Peter Goos, Bradley Jones, 2011-06-28 This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book. - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings. —Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities? While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain. |
case study vs experiment: Case Study Method Roger Gomm, Martyn Hammersley, Peter Foster, 2000-10-17 This is the most comprehensive guide to the current uses and importance of case study methods in social research. The editors bring together key contributions from the field which reflect different interpretations of the purpose and capacity of case study research. The address issues such as: the problem of generalizing from study of a small number of cases; and the role of case study in developing and testing theories. The editors offer in-depth assessments of the main arguments. An annotated bibliography of the literature dealing with case study research makes this an exhaustive and indispensable guide. |
case study vs experiment: Case Study Research John Gerring, 2016-12-24 Case Study Research: Principles and Practices provides a general understanding of the case study method as well as specific tools for its successful implementation. These tools are applicable in a variety of fields including anthropology, business and management, communications, economics, education, medicine, political science, psychology, social work, and sociology. Topics include: a survey of case study approaches; a methodologically tractable definition of 'case study'; strategies for case selection, including random sampling and other algorithmic approaches; quantitative and qualitative modes of case study analysis; and problems of internal and external validity. The second edition of this core textbook is designed to be accessible to readers who are new to the subject and is thoroughly revised and updated, incorporating recent research, numerous up-to-date studies and comprehensive lecture slides. |
case study vs experiment: Multivariate analysis Kantilal Varichand Mardia, J.M. Bibby, J.T. Kent, 1982 |
case study vs experiment: Case Study Research in Practice Helen Simons, 2009-06-05 Case Study Research in Practice explores the theory and practice of case study research. Helen Simons draws on her extensive experience of teaching and conducting case study to provide a comprehensive and practical account of how to design, conduct and communicate case study research. It addresses questions often raised by students and common misconceptions about case research. In four sections the book covers - Rationale, concept and design of case study research - Methods, ethics and reflexivity in case study - Interpreting, analyzing and reporting the case - Generalizing and theorizing in case study research Rich with 'tales from the field' and summary memos as an aide-memoire to future action, the book provides fresh insights and challenges for researchers to guide their practice of case study research. This is an ideal text for those studying and conducting case study research in education, health and social care, and related social science disciplines. Helen Simons is Professor Emeritus of Education University of Southampton |
case study vs experiment: Single Case Experimental Designs David H. Barlow, Michel Hersen, 1984 |
case study vs experiment: Laboratory Experiments in the Social Sciences Murray Webster, Jane Sell, 2007-07-03 Laboratory Experiments in the Social Sciences is the only book providing core information for researchers about the ways and means to conduct experiments. Its comprehensive regard for laboratory experiments encompasses how-to explanations, investigations of philosophies and ethics, explorations of experiments in specific social science disciplines, and summaries of both the history and future of social science laboratories. No other book offers such a direct avenue to enlarging our knowledge in the social sciences.This collection of original chapters combines instructions and advice about the design of laboratory experiments in the social sciences with the array of other issues. While there are books on experimental design and chapters in more general methods books on design, theory, and ethical issues, no other book attempts to discuss the fundamental ideas of the philosophy of science or lays out the methods comprehensively or in such detail. Experimentation has recently prospered because of increasing interest in cross-disciplinary syntheses, and this book of advice, guidelines, and observations underline its potential and increasing importance.· Provides a comprehensive summary of issues in social science experimentation, from ethics to design, management, and financing· Offers how-to explanations of the problems and challenges faced by everyone involved in social science experiments· Pays attention to both practical problems and to theoretical and philosophical arguments· Defines commonalities and distinctions within and among experimental situations across the social sciences |
case study vs experiment: Encyclopedia of Research Design Neil J. Salkind, 2010-06-22 Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases.--Publisher's description. |
case study vs experiment: Experimental and Quasi-Experimental Designs for Research Donald T. Campbell, Julian C. Stanley, 2015-09-03 We shall examine the validity of 16 experimental designs against 12 common threats to valid inference. By experiment we refer to that portion of research in which variables are manipulated and their effects upon other variables observed. It is well to distinguish the particular role of this chapter. It is not a chapter on experimental design in the Fisher (1925, 1935) tradition, in which an experimenter having complete mastery can schedule treatments and measurements for optimal statistical efficiency, with complexity of design emerging only from that goal of efficiency. Insofar as the designs discussed in the present chapter become complex, it is because of the intransigency of the environment: because, that is, of the experimenter’s lack of complete control. |
case study vs experiment: Case Study Evaluations , 1990 |
case study vs experiment: Experimentation in Software Engineering Claes Wohlin, Per Runeson, Martin Höst, Magnus C. Ohlsson, Björn Regnell, Anders Wesslén, 2012-06-16 Like other sciences and engineering disciplines, software engineering requires a cycle of model building, experimentation, and learning. Experiments are valuable tools for all software engineers who are involved in evaluating and choosing between different methods, techniques, languages and tools. The purpose of Experimentation in Software Engineering is to introduce students, teachers, researchers, and practitioners to empirical studies in software engineering, using controlled experiments. The introduction to experimentation is provided through a process perspective, and the focus is on the steps that we have to go through to perform an experiment. The book is divided into three parts. The first part provides a background of theories and methods used in experimentation. Part II then devotes one chapter to each of the five experiment steps: scoping, planning, execution, analysis, and result presentation. Part III completes the presentation with two examples. Assignments and statistical material are provided in appendixes. Overall the book provides indispensable information regarding empirical studies in particular for experiments, but also for case studies, systematic literature reviews, and surveys. It is a revision of the authors’ book, which was published in 2000. In addition, substantial new material, e.g. concerning systematic literature reviews and case study research, is introduced. The book is self-contained and it is suitable as a course book in undergraduate or graduate studies where the need for empirical studies in software engineering is stressed. Exercises and assignments are included to combine the more theoretical material with practical aspects. Researchers will also benefit from the book, learning more about how to conduct empirical studies, and likewise practitioners may use it as a “cookbook” when evaluating new methods or techniques before implementing them in their organization. |
case study vs experiment: Innovation in High Reliability Ambidextrous Organizations Jan Kraner, 2018-04-05 Companies need to invest in innovation in order to ensure their long-term survival. This book focuses on how and why key players support or obstruct the implementation of a technological innovation in ambidextrous organizations, and how the interaction between players involved in daily business and innovation affects implementation of innovation in 'high reliability organizations'. This book argues that an organization has to create new innovations or adopt innovations to constantly deliver attractive products on the one hand, while also adjusting and improving current products and processes on the other. In turn, it addresses a specific problem: What if a company operates in an innovation-averse and procedural environment and culture? Drawing on case studies, focus group studies and a unique analytical framework, it then provides ways for companies to overcome this situation. |
case study vs experiment: Case Study Research in Software Engineering Per Runeson, Martin Host, Austen Rainer, Bjorn Regnell, 2012-03-07 Based on their own experiences of in-depth case studies of software projects in international corporations, in this book the authors present detailed practical guidelines on the preparation, conduct, design and reporting of case studies of software engineering. This is the first software engineering specific book on the case study research method. |
case study vs experiment: The Power of Experiments Michael Luca, Max H. Bazerman, 2021-03-02 How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.” |
case study vs experiment: Research Methods in Human-Computer Interaction Jonathan Lazar, Jinjuan Heidi Feng, Harry Hochheiser, 2017-04-28 Research Methods in Human-Computer Interaction is a comprehensive guide to performing research and is essential reading for both quantitative and qualitative methods. Since the first edition was published in 2009, the book has been adopted for use at leading universities around the world, including Harvard University, Carnegie-Mellon University, the University of Washington, the University of Toronto, HiOA (Norway), KTH (Sweden), Tel Aviv University (Israel), and many others. Chapters cover a broad range of topics relevant to the collection and analysis of HCI data, going beyond experimental design and surveys, to cover ethnography, diaries, physiological measurements, case studies, crowdsourcing, and other essential elements in the well-informed HCI researcher's toolkit. Continual technological evolution has led to an explosion of new techniques and a need for this updated 2nd edition, to reflect the most recent research in the field and newer trends in research methodology. This Research Methods in HCI revision contains updates throughout, including more detail on statistical tests, coding qualitative data, and data collection via mobile devices and sensors. Other new material covers performing research with children, older adults, and people with cognitive impairments. - Comprehensive and updated guide to the latest research methodologies and approaches, and now available in EPUB3 format (choose any of the ePub or Mobi formats after purchase of the eBook) - Expanded discussions of online datasets, crowdsourcing, statistical tests, coding qualitative data, laws and regulations relating to the use of human participants, and data collection via mobile devices and sensors - New material on performing research with children, older adults, and people with cognitive impairments, two new case studies from Google and Yahoo!, and techniques for expanding the influence of your research to reach non-researcher audiences, including software developers and policymakers |
case study vs experiment: The SAGE Handbook of Applied Social Research Methods Leonard Bickman, Debra J. Rog, 2009 This Handbook addresses the methodology of social science research and the appropriate use of different methods. |
case study vs experiment: Reproducibility and Replicability in Science National Academies of Sciences, Engineering, and Medicine, Policy and Global Affairs, Committee on Science, Engineering, Medicine, and Public Policy, Board on Research Data and Information, Division on Engineering and Physical Sciences, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, Division on Earth and Life Studies, Nuclear and Radiation Studies Board, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Board on Behavioral, Cognitive, and Sensory Sciences, Committee on Reproducibility and Replicability in Science, 2019-10-20 One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science. |
case study vs experiment: Qualitative Methodologies in Organization Studies Malgorzata Ciesielska, Dariusz Jemielniak, 2017-11-30 This book brings together key theories behind qualitative research, whilst drawing attention to novel, cutting-edge approaches to data gathering, such as visual anthropology and storytelling. Offering a comprehensive guide to qualitative analysis, this book goes further than examining research methods to open a discussion on the roles of reflexivity, imagination, emotions and ethics in qualitative research, Covering topics such as reflective analysis, sociological paradigms, action research and organizational ethnography, this book is ideal reading for those who wish to address the gap between undergraduate and postgraduate research-based edited books and encompasses a wide array of methods. Those exploring organization studies will find this two-volume collection extremely valuable as it contains robust contributions from highly-skilled authors who are actively researching in this field. |
case study vs experiment: The SAGE Encyclopedia of Communication Research Methods Mike Allen, 2017-04-11 Communication research is evolving and changing in a world of online journals, open-access, and new ways of obtaining data and conducting experiments via the Internet. Although there are generic encyclopedias describing basic social science research methodologies in general, until now there has been no comprehensive A-to-Z reference work exploring methods specific to communication and media studies. Our entries, authored by key figures in the field, focus on special considerations when applied specifically to communication research, accompanied by engaging examples from the literature of communication, journalism, and media studies. Entries cover every step of the research process, from the creative development of research topics and questions to literature reviews, selection of best methods (whether quantitative, qualitative, or mixed) for analyzing research results and publishing research findings, whether in traditional media or via new media outlets. In addition to expected entries covering the basics of theories and methods traditionally used in communication research, other entries discuss important trends influencing the future of that research, including contemporary practical issues students will face in communication professions, the influences of globalization on research, use of new recording technologies in fieldwork, and the challenges and opportunities related to studying online multi-media environments. Email, texting, cellphone video, and blogging are shown not only as topics of research but also as means of collecting and analyzing data. Still other entries delve into considerations of accountability, copyright, confidentiality, data ownership and security, privacy, and other aspects of conducting an ethical research program. Features: 652 signed entries are contained in an authoritative work spanning four volumes available in choice of electronic or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of communication research to more easily locate directly related entries. Back matter includes a Chronology of the development of the field of communication research; a Resource Guide to classic books, journals, and associations; a Glossary introducing the terminology of the field; and a detailed Index. Entries conclude with References/Further Readings and Cross-References to related entries to guide students further in their research journeys. The Index, Reader’s Guide themes, and Cross-References combine to provide robust search-and-browse in the e-version. |
case study vs experiment: Nickel and Dimed Barbara Ehrenreich, 2010-04-01 The New York Times bestselling work of undercover reportage from our sharpest and most original social critic, with a new foreword by Matthew Desmond, author of Evicted Millions of Americans work full time, year round, for poverty-level wages. In 1998, Barbara Ehrenreich decided to join them. She was inspired in part by the rhetoric surrounding welfare reform, which promised that a job—any job—can be the ticket to a better life. But how does anyone survive, let alone prosper, on $6 an hour? To find out, Ehrenreich left her home, took the cheapest lodgings she could find, and accepted whatever jobs she was offered. Moving from Florida to Maine to Minnesota, she worked as a waitress, a hotel maid, a cleaning woman, a nursing-home aide, and a Wal-Mart sales clerk. She lived in trailer parks and crumbling residential motels. Very quickly, she discovered that no job is truly unskilled, that even the lowliest occupations require exhausting mental and muscular effort. She also learned that one job is not enough; you need at least two if you int to live indoors. Nickel and Dimed reveals low-rent America in all its tenacity, anxiety, and surprising generosity—a land of Big Boxes, fast food, and a thousand desperate stratagems for survival. Read it for the smoldering clarity of Ehrenreich's perspective and for a rare view of how prosperity looks from the bottom. And now, in a new foreword, Matthew Desmond, author of Evicted: Poverty and Profit in the American City, explains why, twenty years on in America, Nickel and Dimed is more relevant than ever. |
case study vs experiment: Strategic Decisions Vassilis Papadakis, Patrick Barwise, 2012-12-06 Over the past ten years, there has been growing interest in the process of strategic decision-making among both managers and researchers. Strategic decisions are important for five main reasons: They are large-scale, risky and hard to reverse; they are a bridge between deliberate and emerging strategies; they can be a major source of organizational learning; they play an important part in the development of individual managers and they cut accross functions and academic disciplines. Strategic Decisions summarizes the current state of the art in research on strategic decision-making, with chapters prepared by leading strategy researchers. The editors also present implications for current application and proposed directions for future research. |
case study vs experiment: The Case Study as Research Method Yves-Chantal Gagnon, 2011-01-27T00:00:00-05:00 The main advantages of case research are that it can produce an in-depth analysis of phenomena in context, support the development of historical perspectives and guarantee high internal validity, which is to say that the observed phenomena are authentic representations of reality. In short, the case study is adaptable to both the context and the researcher. |
case study vs experiment: Understanding Case Study Research Malcolm Tight, 2017-01-26 Written in an accessible and jargon-free style, this book provides a comprehensive, student-friendly guide to the nature and use of case study research. Whether as part of a more substantial study or as the foundation for a self-contained smaller project, case studies provide viable and valuable alternatives to conducting large-scale research. Grounded in both theory and practice, this book sets out not only the key debates and ethical issues surrounding case study research, but also focuses specifically on the work of others and how you can understand, use, and write about secondary data as the basis for your own research project. With tips, examples, and extensive discussion of real-world case studies from a variety of social science and other disciplines, Tight illustrates the kinds of research to which case studies can be applied. Topics include: Types of case studies Advantages and disadvantages to using case studies The meaning and value of case study research The use of case studies in different disciplines and research designs Whether you want to know how to access and use the case studies of others or understand the methods behind conducting your own case study research, this book will take you through every step of the process! |
case study vs experiment: Case Study Research for Business Jillian Dawes Farquhar, 2012-02-21 The only case study research textbook written exclusively for students of Business and related disciplines. Using a step-by-step approach, Case Study Research for Business takes you right through the case study research process from research design and data collection using qualitative and quantitative methods, to research analysis, writing up and presenting your work. Key features: - Takes a multidisciplinary approach to case study research design by drawing on research philosophies to improve student understanding of these critical research traditions and hence provide firmer theoretical foundations for their research - Coverage of contemporary topics such as research ethics and access - Packed with practical examples from all areas of business - Pedagogical features include vignettes, exercises and ′cases′ which directly relate to business research Case Study Research for Business will prove a valuable resource for undergraduate, postgraduate and research students of business and related disciplines. |
case study vs experiment: A Tale of Two Cultures Gary Goertz, James Mahoney, 2012-09-09 Some in the social sciences argue that the same logic applies to both qualitative and quantitative methods. In A Tale of Two Cultures, Gary Goertz and James Mahoney demonstrate that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. They identify and discuss major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, Goertz and Mahoney also seek to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. This book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points. |
case study vs experiment: Applications of Case Study Research Robert K. Yin, 2012 This book helps graduate students and seasoned researchers strengthen their own case study research and become more critical consumers of the case study research done by others. It presents a collection of 21 individual applications of the case study method, many shortened or re-written for this book. Following feedback from users of earlier editions of the book, the applications include a wide array of single-case studies, providing useful examples for solo researchers. New to This Edition: - Expanded from 10 to 15 chapters, and from 16 to 21 case study applications, the book provides many more examples of the case study method - Contains six entirely new chapters, all emphasizing single-case and simpler applications, and including an introductory chapter which serves as a refresher on the case study method - Provides a new feature called inside stories, which are linked to suggested classroom exercises - Includes an expanded section of the book on case study evaluations, including an new chapter on the principles of case study evaluations along with a specific and new application. |
case study vs experiment: How to Do Your Case Study Gary Thomas, 2011-01-19 This accessible text introduces students and researchers to the basics of case study research, using a wide range of real-life examples. It deals with the core issues and methods that anyone new to case study will need to understand: What is a case study? When and why should case study methods be used? How are case studies designed? What methods can be used? How do we analyze our data and write up our case? |
case study vs experiment: Willpower Roy F. Baumeister, John Tierney, 2011-09-01 One of the world's most esteemed and influential psychologists, Roy F. Baumeister, teams with New York Times science writer John Tierney to reveal the secrets of self-control and how to master it. Deep and provocative analysis of people's battle with temptation and masterful insights into understanding willpower: why we have it, why we don't, and how to build it. A terrific read. —Ravi Dhar, Yale School of Management, Director of Center for Customer Insights Pioneering research psychologist Roy F. Baumeister collaborates with New York Times science writer John Tierney to revolutionize our understanding of the most coveted human virtue: self-control. Drawing on cutting-edge research and the wisdom of real-life experts, Willpower shares lessons on how to focus our strength, resist temptation, and redirect our lives. It shows readers how to be realistic when setting goals, monitor their progress, and how to keep faith when they falter. By blending practical wisdom with the best of recent research science, Willpower makes it clear that whatever we seek—from happiness to good health to financial security—we won’t reach our goals without first learning to harness self-control. |
case study vs experiment: Good Research Practice in Non-Clinical Pharmacology and Biomedicine Anton Bespalov, Martin C. Michel, Thomas Steckler, 2020-01-01 This open access book, published under a CC BY 4.0 license in the Pubmed indexed book series Handbook of Experimental Pharmacology, provides up-to-date information on best practice to improve experimental design and quality of research in non-clinical pharmacology and biomedicine. |
case study vs experiment: The Uses of Experiment David Gooding, Trevor Pinch, Simon Schaffer, 1989-05-18 Experiment is widely regarded as the most distinctive feature of natural science and essential to the way scientists find out about the world. Yet there has been little study of the way scientists actually make and use experiments. The Uses of Experiment fills this gap in our knowledge about how science is practised. Presenting 14 original case studies of important and often famous experiments, the book asks the questions: What tools do experimenters use? How do scientists argue from experiments? What happens when an experiment is challenged? How do scientists check that their experiments are working? Are there differences between experiments in the physical sciences and technology? Leading scholars in the fields of history, sociology and philosophy of science consider topics such as the interaction of experiment; instruments and theory; accuracy and reliability as hallmarks of experiment in science and technology; realising new phenomena; the believability of experiments and the sort of knowledge they produce; and the wider contexts on which experimentalists draw to develop and win support for their work. Drawing on examples as diverse as Galilean mechanics, Victorian experiments on electricity, experiments on cloud formation, and testing of nuclear missiles, a new view of experiment emerges. This view emphasises that experiments always involve choice, tactics and strategy in persuading audiences that Nature resembles the picture experimenters create. |
case study vs experiment: The Oxford Handbook of Comparative Politics Carles Boix, Susan Carol Stokes, 2007 The Oxford Handbooks of Political Science is a ten-volume set of reference books offering authoritative and engaging critical overviews of the state of political science. Each volume focuses on a particular part of the discipline, with volumes on Public Policy, Political Theory, Political Economy, Contextual Political Analysis, Comparative Politics, International Relations, Law and Politics, Political Behavior, Political Institutions, and Political Methodology. The project as a whole is under the General Editorship of Robert E. Goodin, with each volume being edited by a distinguished international group of specialists in their respective fields. The books set out not just to report on the discipline, but to shape it. The series will be an indispensable point of reference for anyone working in political science and adjacent disciplines. The Oxford Handbook of Comparative Politics offers a critical survey of the field of empirical political science through the collection of a set of chapters written by forty-seven top scholars in the discipline of comparative politics. Part I includes chapters surveying the key research methodologies employed in comparative politics (the comparative method; the use of history; the practice and status of case-study research; the contributions of field research) and assessing the possibility of constructing a science of comparative politics. Parts II to IV examine the foundations of political order: the origins of states and the extent to which they relate to war and to economic development; the sources of compliance or political obligation among citizens; democratic transitions, the role of civic culture; authoritarianism; revolutions; civil wars and contentious politics. Parts V and VI explore the mobilization, representation and coordination of political demands. Part V considers why parties emerge, the forms they take and the ways in which voters choose parties. It then includes chapters on collective action, social movements and political participation. Part VI opens up with essays on the mechanisms through which political demands are aggregated and coordinated. This sets the agenda to the systematic exploration of the workings and effects of particular institutions: electoral systems, federalism, legislative-executive relationships, the judiciary and bureaucracy. Finally, Part VII is organized around the burgeoning literature on macropolitical economy of the last two decades. |
case study vs experiment: Case Studies in Public Health Theodore H. Tulchinsky, 2018-03-12 Case Studies in Public Health contains selected case studies of some of the most important and influential moments in medicine and epidemiology. The cases chosen for this collection represent a wide array of public health issues that go into the makeup of what can be termed the New Public Health (NPH), which includes traditional public health, such as sanitation, hygiene and infectious disease control, but widens its perspective to include the organization, financing and quality of health care services in a much broader sense. Each case study is presented in a systematic fashion to facilitate learning, with the case, background, current relevance, economic issues, ethical issues, conclusions, recommendation and references discussed for each case. The book is a valuable resource for advanced students and researchers with specialized knowledge who need further information on the general background and history of public health and important scientific discoveries within the field. It is an ideal resource for students in public health, epidemiology, medicine, anthropology, and sociology, and for those interested in how to apply lessons from the past to present and future research. - Explores the history of public health through important scientific events and flashpoints - Presents case studies in a clear, direct style that is easy to follow - Uses a systematic approach to help learn lessons from the past and apply them to the present |
case study vs experiment: Safety Differently Sidney Dekker, 2014-06-23 The second edition of a bestseller, Safety Differently: Human Factors for a New Era is a complete update of Ten Questions About Human Error: A New View of Human Factors and System Safety. Today, the unrelenting pace of technology change and growth of complexity calls for a different kind of safety thinking. Automation and new technologies have resu |
case study vs experiment: Experimental and Quasi-experimental Designs for Generalized Causal Inference William R. Shadish, Thomas D. Cook, Donald Thomas Campbell, 2002 Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions. |
case study vs experiment: An Applied Guide to Research Designs W. Alex Edmonds, Thomas D. Kennedy, 2016-04-20 The Second Edition of An Applied Guide to Research Designs offers researchers in the social and behavioral sciences guidance for selecting the most appropriate research design to apply in their study. Using consistent terminology, the authors visually present a range of research designs used in quantitative, qualitative, and mixed methods to help readers conceptualize, construct, test, and problem solve in their investigation. The Second Edition features revamped and expanded coverage of research designs, new real-world examples and references, a new chapter on action research, and updated ancillaries. |
case study vs experiment: Research Methods in Clinical Psychology Chris Barker, Nancy Pistrang, Robert Elliott, 2015-09-25 Fully updated to reflect the latest developments, the third editionof Research Methods In Clinical Psychology offers acomprehensive introduction to the various methods, approaches, andstrategies for conducting research in the clinical psychologyfield. Represents the most accessible, user-friendly introduction toconducting and evaluating research for clinical psychologists andrelated professionals Ideal for students and practitioners who wish to conduct theirown research or gain a better understanding of publishedresearch Addresses important issues such as philosophical underpinningsof various methodologies, along with socio-political issues thatarise in clinical and community settings Step-by-step guidance through all phases of a clinicalpsychology research project—from initial concept andgroundwork, through to measurement, design, analysis, andinterpretation Updates to this edition include new or expanded coverage ofsuch topics as systematic review and literature searchingmethods, modern psychometric methods, guidance on choosing betweendifferent qualitative approaches, and conducting psychologicalresearch via the Internet |
case study vs experiment: Case Studies and Theory Development in the Social Sciences Alexander L. George, Andrew Bennett, 2005-04-15 The use of case studies to build and test theories in political science and the other social sciences has increased in recent years. Many scholars have argued that the social sciences rely too heavily on quantitative research and formal models and have attempted to develop and refine rigorous methods for using case studies. This text presents a comprehensive analysis of research methods using case studies and examines the place of case studies in social science methodology. It argues that case studies, statistical methods, and formal models are complementary rather than competitive. The book explains how to design case study research that will produce results useful to policymakers and emphasizes the importance of developing policy-relevant theories. It offers three major contributions to case study methodology: an emphasis on the importance of within-case analysis, a detailed discussion of process tracing, and development of the concept of typological theories. Case Studies and Theory Development in the Social Sciences will be particularly useful to graduate students and scholars in social science methodology and the philosophy of science, as well as to those designing new research projects, and will contribute greatly to the broader debate about scientific methods. |
case study vs experiment: Mindset Carol S. Dweck, 2007-12-26 From the renowned psychologist who introduced the world to “growth mindset” comes this updated edition of the million-copy bestseller—featuring transformative insights into redefining success, building lifelong resilience, and supercharging self-improvement. “Through clever research studies and engaging writing, Dweck illuminates how our beliefs about our capabilities exert tremendous influence on how we learn and which paths we take in life.”—Bill Gates, GatesNotes “It’s not always the people who start out the smartest who end up the smartest.” After decades of research, world-renowned Stanford University psychologist Carol S. Dweck, Ph.D., discovered a simple but groundbreaking idea: the power of mindset. In this brilliant book, she shows how success in school, work, sports, the arts, and almost every area of human endeavor can be dramatically influenced by how we think about our talents and abilities. People with a fixed mindset—those who believe that abilities are fixed—are less likely to flourish than those with a growth mindset—those who believe that abilities can be developed. Mindset reveals how great parents, teachers, managers, and athletes can put this idea to use to foster outstanding accomplishment. In this edition, Dweck offers new insights into her now famous and broadly embraced concept. She introduces a phenomenon she calls false growth mindset and guides people toward adopting a deeper, truer growth mindset. She also expands the mindset concept beyond the individual, applying it to the cultures of groups and organizations. With the right mindset, you can motivate those you lead, teach, and love—to transform their lives and your own. |
case study vs experiment: Social Science Research Anol Bhattacherjee, 2012-04-01 This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages. |
case study vs experiment: Experimental Design Research Philip Cash, Tino Stanković, Mario Štorga, 2016-05-17 This book presents a new, multidisciplinary perspective on and paradigm for integrative experimental design research. It addresses various perspectives on methods, analysis and overall research approach, and how they can be synthesized to advance understanding of design. It explores the foundations of experimental approaches and their utility in this domain, and brings together analytical approaches to promote an integrated understanding. The book also investigates where these approaches lead to and how they link design research more fully with other disciplines (e.g. psychology, cognition, sociology, computer science, management). Above all, the book emphasizes the integrative nature of design research in terms of the methods, theories, and units of study—from the individual to the organizational level. Although this approach offers many advantages, it has inherently led to a situation in current research practice where methods are diverging and integration between individual, team and organizational understanding is becoming increasingly tenuous, calling for a multidisciplinary and transdiscipinary perspective. Experimental design research thus offers a powerful tool and platform for resolving these challenges. Providing an invaluable resource for the design research community, this book paves the way for the next generation of researchers in the field by bridging methods and methodology. As such, it will especially benefit postgraduate students and researchers in design research, as well as engineering designers. |
and Ex Post Facto Designs Experimental, Quasi-Experimental,
1.1 One-Shot Experimental Case Study The one-shot experiment case study is probably the most primitive type of experiment that might conceivably be termed “research”. An Experimental …
QUASI-EXPERIMENTAL AND SINGLE-CASE …
a factor in a study (i.e., quasi-independent), this typically means that the study is a type of quasi-experimental research design. In this chapter, we separate the content into two major …
Principles of Experimental Design - University of …
Case Study In a study of dairy cow nutrition, researchers have access to 20 dairy cows in a research herd. Researchers are interested in comparing a standard diet with three other diets, …
An Experimental Template for Case Study Research - JSTOR
All comparison case study research designs can be slotted into one of these four categories. Moreover, the typology illustrates in a concise fashion the ways in which case study research …
UNIT 3 EXPERIMENTAL RESEARCH (FIELD …
In this unit you will learn about experiments, types of experimental research design etc. You will also learn about the criteria of a good experimental design. Every research requires the …
DEFINING THE CASE STUDY — Yin, Ch. 1 - MIT …
Case study vs other forms of research: Experiments are context free; surveys aren’t structured to investigate context; histories deal with context but in the past . The idea of research hierarchy …
Experimental, Quasi- Experimental, and Ex Post Facto Designs
The internal validity of a research study is the extent to which its design and the data it yields allow the researcher to draw defensible conclusions about cause-and effect and other
Lecture 4: Research Approaches - University of Washington
Experiments are used to investigate causal relationships between variables, and therefore assist us in the prediction of phenomena. Experiments allow us to systematically manipulate …
Distinguishing Correlational vs. Experimental Research
For each study students identify if the study is correlational or experimental. If correlational, they draw a scatter plot and predict the correlational coefficient (r). If experimental, they draw a bar …
Requirements of True Experiments - University of Florida
True experiments demonstrate (or not) direct cause and effect. The researcher’s objective is to show that the treatment or intervention produced an effect and that this effect could not …
Experimental Designs - San José State University
One shot case study X O 2. One group pretest-posttest design O X O 7 . III. Experimental Designs (Cont.) B. (True) Experimental Designs: Essential components 1) Random …
Comparing the Five Approaches - SAGE Publications Inc
From these sketches of the five approaches, we can identify fundamental differences among these types of qualitative research. Finally, we compare the five approaches relating the …
Observational Studies vs. Designed Experiments
An observational study measures the characteristics of a population by studying individuals in a sample, but does not attempt to manipulate or influence the variable(s) of interest.
Famous Experiments In Psychology - Helpful Professor
research studies over the years. Most of these studies have helped shape our current understanding of human . were conducted back in the day. Imagine participating in an …
UNIT 4 TYPES OF RESEARCH AND METHODS OF …
method, case study, content analysis, field studies are described. Finally, besides non- experimental methods, this unit will explain you the experimental methods i.e. laboratory
Chapter 14. Experimental Designs: Single-Subject Designs …
single-subject approach should not be confused with the case-study or case-history approach where a single individual is also studied exhaustively. The case-study approach is often an …
Quantitative Research Designs: Experimental, Quasi …
Explain the three essential components of experimental designs, and compare and contrast the following experimental designs: randomized controlled trials, crossover, factorial, and Solomon …
QUASI-EXPERIMENTS AND CORRELATIONAL STUDIES
Experiments are the most effective way to address questions of causality does one variable have an effect upon another (e.g., Does a new drug X reduce anxiety?). A precise and well …
AICE 9990 PSYCHOLOGY RESEARCH METHODS: …
•A laboratory experiment is: •a type of study where conditions are controlled and an IV is manipulated to determine cause and effect •probably the most common form of research …
and Ex Post Facto Designs Experimental, Quasi-Experimental,
1.1 One-Shot Experimental Case Study The one-shot experiment case study is probably the most primitive type of experiment that might conceivably be termed “research”. An Experimental …
QUASI-EXPERIMENTAL AND SINGLE-CASE EXPERIMENTAL …
a factor in a study (i.e., quasi-independent), this typically means that the study is a type of quasi-experimental research design. In this chapter, we separate the content into two major …
3.2 Design of Experiments - Montana State University
Recall: Observational Study vs. Experiment • Observational Study: Passive, note characteristics and record data without any intervention • Experiment: Active, you change a variable, control …
Principles of Experimental Design - University of …
Case Study In a study of dairy cow nutrition, researchers have access to 20 dairy cows in a research herd. Researchers are interested in comparing a standard diet with three other diets, …
An Experimental Template for Case Study Research - JSTOR
All comparison case study research designs can be slotted into one of these four categories. Moreover, the typology illustrates in a concise fashion the ways in which case study research …
UNIT 3 EXPERIMENTAL RESEARCH (FIELD EXPERIMENT)
In this unit you will learn about experiments, types of experimental research design etc. You will also learn about the criteria of a good experimental design. Every research requires the …
DEFINING THE CASE STUDY — Yin, Ch. 1 - MIT …
Case study vs other forms of research: Experiments are context free; surveys aren’t structured to investigate context; histories deal with context but in the past . The idea of research hierarchy …
Experimental, Quasi- Experimental, and Ex Post Facto …
The internal validity of a research study is the extent to which its design and the data it yields allow the researcher to draw defensible conclusions about cause-and effect and other
Lecture 4: Research Approaches - University of Washington
Experiments are used to investigate causal relationships between variables, and therefore assist us in the prediction of phenomena. Experiments allow us to systematically manipulate …
Distinguishing Correlational vs. Experimental Research
For each study students identify if the study is correlational or experimental. If correlational, they draw a scatter plot and predict the correlational coefficient (r). If experimental, they draw a bar …
Requirements of True Experiments - University of Florida
True experiments demonstrate (or not) direct cause and effect. The researcher’s objective is to show that the treatment or intervention produced an effect and that this effect could not …
Experimental Designs - San José State University
One shot case study X O 2. One group pretest-posttest design O X O 7 . III. Experimental Designs (Cont.) B. (True) Experimental Designs: Essential components 1) Random …
Comparing the Five Approaches - SAGE Publications Inc
From these sketches of the five approaches, we can identify fundamental differences among these types of qualitative research. Finally, we compare the five approaches relating the …
Observational Studies vs. Designed Experiments
An observational study measures the characteristics of a population by studying individuals in a sample, but does not attempt to manipulate or influence the variable(s) of interest.
Famous Experiments In Psychology - Helpful Professor
research studies over the years. Most of these studies have helped shape our current understanding of human . were conducted back in the day. Imagine participating in an …
UNIT 4 TYPES OF RESEARCH AND METHODS OF RESEARCH
method, case study, content analysis, field studies are described. Finally, besides non- experimental methods, this unit will explain you the experimental methods i.e. laboratory
Chapter 14. Experimental Designs: Single-Subject Designs …
single-subject approach should not be confused with the case-study or case-history approach where a single individual is also studied exhaustively. The case-study approach is often an …
Quantitative Research Designs: Experimental, Quasi …
Explain the three essential components of experimental designs, and compare and contrast the following experimental designs: randomized controlled trials, crossover, factorial, and Solomon …
QUASI-EXPERIMENTS AND CORRELATIONAL STUDIES
Experiments are the most effective way to address questions of causality does one variable have an effect upon another (e.g., Does a new drug X reduce anxiety?). A precise and well …
AICE 9990 PSYCHOLOGY RESEARCH METHODS: …
•A laboratory experiment is: •a type of study where conditions are controlled and an IV is manipulated to determine cause and effect •probably the most common form of research …