case study research design and methods 4th edition pdf

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Case study research : design and methods

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Case Study Research: Design and Methods (Applied Social Research Methods) Fifth Edition

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• ISBN-10 1452242569
• ISBN-13 978-1452242569
• Edition Fifth
• Publisher SAGE Publications, Inc
• Publication date May 10, 2013
• Language English
• Dimensions 7.25 x 0.5 x 9.25 inches
• Print length 312 pages
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About the author.

Robert K. Yin is President of COSMOS Corporation, an applied research and social science firm.  Over the years, COSMOS has successfully completed hundreds of projects for federal agencies, state and local agencies, and private foundations.

Outside of COSMOS, Dr. Yin has assisted numerous other research groups, helping to train their field teams or to design research studies. The most recent such engagements have been with The World Bank, the Division of Special Education and disAbility Research at George Mason University, the Department of Nursing Research and Quality Outcomes at the Children’s National Health System (Washington, DC), and the School of Education, Southern New Hampshire University.

Dr. Yin has authored over 100 publications, including authoring or editing 11 books (not counting the multiple editions of any given book). Earlier editions of the present book have been translated into eight languages (Chinese, Japanese, Korean, Swedish, Romanian, Italian, Polish, and Portuguese), and a second book on Qualitative Research from Start to Finish (2016) is in its 2nd edition and has been translated into four languages (Chinese, Korean, Swedish, and Portuguese).  Dr. Yin received his B.A. in history from Harvard College (magna cum laude) and his Ph.D. in brain and cognitive sciences from MIT.

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• Publisher ‏ : ‎ SAGE Publications, Inc; Fifth edition (May 10, 2013)
• Language ‏ : ‎ English
• Paperback ‏ : ‎ 312 pages
• ISBN-10 ‏ : ‎ 1452242569
• ISBN-13 ‏ : ‎ 978-1452242569
• Item Weight ‏ : ‎ 1.15 pounds
• Dimensions ‏ : ‎ 7.25 x 0.5 x 9.25 inches
• #229 in Medical Psychology Research
• #249 in Social Sciences Methodology
• #530 in Social Sciences Research

About the author

Robert k. yin.

Robert K. Yin, Ph.D., serves as Chairman of the Board and CEO of COSMOS Corporation, an applied research and social science firm that has been in operation since 1980. Over the years, COSMOS has successfully completed hundreds of projects for government agencies, private foundations, and other entrepreneurial and non-profit organizations. At COSMOS, Dr. Yin actively leads various research projects, including those in which the case study method is used. He has authored numerous books and peer-reviewed articles, including Case Study Research and Applications of Case Study Research. In 1998 he founded the “Robert K. Yin Fund” at M.I.T., which supports seminars on brain sciences, as well as other activities related to the advancement of pre-doctoral students in the Department of Brain and Cognitive Sciences.

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Yin, R. K. (2009). Case study research: Design and methods (4th Ed.). Thousand Oaks, CA: Sage.

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Robert K. Yin. (2014). Case Study Research Design and Methods (5th ed.). Thousand Oaks, CA: Sage. 282 pages

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In his fourth edition of Case Study Research Design and Methods, Robert K. Yin continues to encourage the formation of better case study research. The text provides a technical yet practical guide to aid the committed researcher. It is an effort to promote rigor and to encourage the recognition of the limitations and awareness of the strengths of case study research. Throughout the text, Yin forthrightly addressed criticisms of the method and provided a solid defense of case study research and its breadth as a research method. An unexpected bonus of the text is found in the cross reference table that provides access to a wealth of classic and contemporary case study research.

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Case Study Research: Design and Methods, Third Edition, Applied Social Research Methods Series, Vol 5 (PDF)

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Summary Case Study Research: Design and Methods, Third Edition, Applied Social Research Methods Series, Vol 5

Table of Contents APPLIED SOCIAL RESEARCH METHODS SERIES Title Page Copyright Page Foreword Preface Dedication ABSTRACT Chapter 1 - Introduction THE CASE STUDY AS A RESEARCH METHOD COMPARING CASE STUDIES WITH OTHER RESEARCH METHODS IN THE SOCIAL SCIENCES DIFFERENT KINDS OF CASE STUDIES, BUT A COMMON DEFINITION SUMMARY NOTES REFERENCE TO EXPANDED CASE STUDY MATERIALS FOR CHAPTER 1 ABSTRACT Chapter 2 - Designing Case Studies Identifying Your Case(s) and Establishing ... GENERAL APPROACH TO DESIGNING CASE STUDIES CRITERIA FOR JUDGING THE QUALITY OF RESEARCH DESIGNS CASE STUDY DESIGNS MODEST ADVICE IN SELECTING CASE STUDY DESIGNS NOTES REFERENCE TO EXPANDED CASE STUDY MATERIALS FOR CHAPTER 2 ABSTRACT Chapter 3 - Preparing to Collect Case Study Evidence What You Need to Do ... THE CASE STUDY INVESTIGATOR: DESIRED SKILLS PREPARATION AND TRAINING FOR A SPECIFIC CASE STUDY THE CASE STUDY PROTOCOL SCREENING THE CANDIDATE “CASES” FOR YOUR CASE STUDY THE PILOT CASE STUDY SUMMARY NOTES REFERENCE TO EXPANDED CASE STUDY MATERIALS FOR CHAPTER 3 ABSTRACT Chapter 4 - Collecting Case Study Evidence The Principles You Should Follow in ... SIX SOURCES OF EVIDENCE THREE PRINCIPLES OF DATA COLLECTION SUMMARY NOTES REFERENCE TO EXPANDED CASE STUDY MATERIALS FOR CHAPTER 4 ABSTRACT Chapter 5 - Analyzing Case Study Evidence How to Start Your Analysis, Your ... AN ANALYTIC STRATEGY: MORE THAN FAMILIARITY WITH ANALYTIC TOOLS FIVE ANALYTIC TECHNIQUES PRESSING FOR A HIGH-QUALITY ANALYSIS SUMMARY REFERENCE TO EXPANDED CASE STUDY MATERIALS FOR CHAPTER 5 ABSTRACT Chapter 6 - Reporting Case Studies How and What to Compose TARGETING CASE STUDY REPORTS CASE STUDY REPORTS AS PART OF LARGER, MIXED METHODS STUDIES ILLUSTRATIVE STRUCTURES FOR CASE STUDY COMPOSITIONS PROCEDURES IN DOING A CASE STUDY REPORT WHAT MAKES AN EXEMPLARY CASE STUDY? NOTES REFERENCE TO EXPANDED CASE STUDY MATERIALS FOR CHAPTER 6 References Author Index Subject Index About the Author APPLIED SOCIAL RESEARCH METHODS SERIES Series Editors LEONARD BICKMAN, Peabody College, Vanderbilt University, Nashville DEBRA J. ROG, Westat 1. SURVEY RESEARCH METHODS (Fourth Edition) by FLOYD J. FOWLER, Jr. 2. SYNTHESIZING RESEARCH (Third Edition) by HARRIS COOPER 3. METHODS FOR POLICY RESEARCH by ANN MAJCHRZAK 4. SECONDARY RESEARCH (Second Edition) by DAVID W. STEWART and MICHAEL A. KAMINS 5. CASE STUDY RESEARCH (Fourth Edition) by ROBERT K. YIN 6. META-ANALYTIC PROCEDURES FOR SOCIAL RESEARCH (Revised Edition) by ROBERT ROSENTHAL 7. TELEPHONE SURVEY METHODS (Second Edition) by PAUL J. LAVRAKAS 8. DIAGNOSING ORGANIZATIONS (Second Edition) by MICHAEL I. HARRISON 9. GROUP TECHNIQUES FOR IDEA BUILDING (Second Edition) by CARL M. MOORE 10. NEED ANALYSIS by JACK McKILLIP 11. LINKING AUDITING AND META EVALUATION by THOMAS A. SCHWANDT and EDWARD S. HALPERN 12. ETHICS AND VALUES IN APPLIED SOCIAL RESEARCH by ALLAN J. KIMMEL 13. ON TIME AND METHOD by JANICE R. KELLY and JOSEPH E. McGRATH 14. RESEARCH IN HEALTH CARE SETTINGS by KATHLEEN E. GRADY and BARBARA STRUDLER WALLSTON 15. PARTICIPANT OBSERVATION by DANNY L. JORGENSEN 16. INTERPRETIVE INTERACTIONISM (Second Edition) by NORMAN K. DENZIN 17. ETHNOGRAPHY (Second Edition) by DAVID M. FETTERMAN 18. STANDARDIZED SURVEY INTERVIEWING by FLOYD J. FOWLER, Jr. and THOMAS W. MANGIONE 19. PRODUCTIVITY MEASUREMENT by ROBERT O. BRINKERHOFF and DENNIS E. DRESSLER 20. FOCUS GROUPS (Second Edition) by DAVID W. STEWART, PREM N. SHAMDASANI, and DENNIS W. ROOK 21. PRACTICAL SAMPLING by GART T. HENRY 22. DECISION RESEARCH by JOHN S. CARROLL and ERIC J. JOHNSON 23. RESEARCH WITH HISPANIC POPULATIONS by GERARDO MARIN and BARBARA VANOSS MARIN 24. INTERNAL EVALUATION by ARNOLD J. LOVE 25. COMPUTER SIMULATION APPLICATIONS by MARCIA LYNN WHICKER and LEE SIGELMAN 26. SCALE DEVELOPMENT by ROBERT F. DeVELLIS 27. STUDYING FAMILIES by ANNE P. COPELAND and KATHLEEN M. WHITE 28. EVENT HISTORY ANALYSIS by KAZUO YAMAGUCHI 29. RESEARCH IN EDUCATIONAL SETTINGS by GEOFFREY MARUYAMA and STANLEY DENO 30. RESEARCHING PERSONS WITH MENTAL ILLNESS by ROSALIND J. DWORKIN 31. PLANNING ETHICALLY RESPONSIBLE RESEARCH by JOAN E. SIEBER 32. APPLIED RESEARCH DESIGN by TERRY E. HEDRICK, LEONARD BICKMAN, and DEBRA J. ROG 33. DOING URBAN RESEARCH by GREGORY D. ANDRANOVICH and GERRY RIPOSA 34. APPLICATIONS OF CASE STUDY RESEARCH by ROBERT K. YIN 35. INTRODUCTION TO FACET THEORY by SAMUEL SHYE and DOV ELIZUR with MICHAEL HOFFMAN 36. GRAPHING DATA by GARY T. HENRY 37. RESEARCH METHODS IN SPECIAL EDUCATION by DONNA M. MERTENS and JOHN A. McLAUGHLIN 38. IMPROVING SURVEY QUESTIONS by FLOYD J. FOWLER, Jr. 39. DATA COLLECTION AND MANAGEMENT by MAGDA STOUTHAMER-LOEBER and WELMOET BOK VAN KAMMEN 40. MAIL SURVEYS by THOMAS W. MANGIONE 41. QUALITATIVE RESEARCH DESIGN by JOSEPH A. MAXWELL 42. ANALYZING COSTS, PROCEDURES, PROCESSES, AND OUTCOMES IN HUMAN SERVICES by BRIAN T. YATES 43. DOING LEGAL RESEARCH by ROBERT A. MORRIS, BRUCE D. SALES, and DANIEL W. SHUMAN 44. RANDOMIZED EXPERIMENTS FOR PLANNING AND EVALUATION by ROBERT F. BORUCH 45. MEASURING COMMUNITY INDICATORS by PAUL J. GRUENEWALD, ANDREW J. TRENO, GAIL TAFF, and MICHAEL KLITZNER 46. MIXED METHODOLOGY by ABBAS TASHAKKORI and CHARLES TEDDLIE 47. NARRATIVE RESEARCH by AMIA LIEBLICH, RIVKA TUVAL- MASHIACH, and TAMAR ZILBER 48. COMMUNICATING SOCIAL SCIENCE RESEARCH TO POLICYMAKERS by ROGER VAUGHAN and TERRY F. BUSS 49. PRACTICAL META-ANALYSIS by MARK W. LIPSEY and DAVID B. WILSON 50. CONCEPT MAPPING FOR PLANNING AND EVALUATION by MARY KANE and WILLIAM M. K. TROCHIM 51. COMPARATIVE METHODS by BENOÎT RIHOUX and CHARLES C. RAGIN Copyright © 2009 by SAGE Publications, Inc. All rights reserved. No part of this book may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying, recording, or by any information storage and retrieval system, without permission in writing from the publisher. For information: SAGE Inc. 2455 Teller Road Thousand Oaks, California 91320 E-mail: [email protected] SAGE Ltd. 1 Oliver’s Yard 55 City Road London EC1Y 1SP United Kingdom SAGE India Pvt. Ltd. B 1/I 1 Mohan Cooperative Industrial Area Mathura Road, New Delhi 110 044 India SAGE Asia-Pacific Pte Ltd 33 Pekin Street #02-01 Far East Square Singapore 048763 Printed in the United States of America Library of Congress Cataloging-in-Publication Data Yin, Robert K. Case study research : design and methods/Robert K. Yin.—4th ed. p. cm.—(Applied social research methods v. 5) Includes bibliographical references and index. ISBN 978-1-4129-6099-1 (pbk.) 1. Case method. 2. Social sciences—Research—Methodology. I. Title. H62.Y56 2009 300.72′2—dc22 2008019313 This book is printed on acid-free paper. 08 09 10 11 12 10 9 8 7 6 5 4 3 2 1 Acquisitions Editor: Vicki Knight Associate Editor: Sean Connelly Editorial Assistant: Lauren Habib Production Editor: Catherine M. Chilton Copy Editor: Gillian Dickens Typesetter: C&M Digitals (P) Ltd Proofreader: Annette R. Van Deusen Indexer: Sylvia Coates Cover Designer: Candice Harman Marketing Manager: Stephanie Adams Foreword It is a privilege to provide the foreword for this fine book. It epitomizes a research method for attempting valid inferences from events outside the laboratory while at the same time retaining the goals of knowledge shared with laboratory science. More and more I have come to the conclusion that the core of the scientific method is not experimentation per se but rather the strategy connoted by the phrase “plausible rival hypotheses.” This strategy may start its puzzle solving with evidence, or it may start with hypothesis. Rather than presenting this hypothesis or evidence in the context-independent manner of positivistic confirmation (or even of postpositivistic corroboration), it is presented instead in extended networks of implications that (although never complete) are nonetheless crucial to its scientific evaluation. This strategy includes making explicit other implications of the hypotheses for other available data and reporting how these fit. It also includes seeking out rival explanations of the focal evidence and examining their plausibility. The plausibility of these rivals is usually reduced by ramification extinction, that is, by looking at their other implications on other data sets and seeing how well these fit. How far these two potentially endless tasks are carried depends on the scientific community of the time and what implications and plausible rival hypotheses have been made explicit. It is on such bases that successful scientific communities achieve effective consensus and cumulative achievements, without ever reaching foundational proof. Yet, these characteristics of the successful sciences were grossly neglected by the logical positivists and are underpracticed by the social sciences, quantitative or qualitative. Such checking by other implications and the ramification-extinction of rival hypotheses also characterizes validity-seeking research in the humanities, including the hermeneutics of Schleiermacher, Dilthey, Hirst, Habermas, and current scholarship on the interpretation of ancient texts. Similarly, the strategy is as available for a historian’s conjectures about a specific event as for a scientist’s assertion of a causal law. It is tragic that major movements in the social sciences are using the term hermeneutics to connote giving up on the goal of validity and abandoning disputation as to who has got it right. Thus, in addition to the quantitative and quasi-experimental case study approach that Yin teaches, our social science methodological armamentarium also needs a humanistic validity-seeking case study methodology that, although making no use of quantification or tests of significance, would still work on the same questions and share the same goals of knowledge. As versions of this plausible rival hypotheses strategy, there are two paradigms of the experimental method that social scientists may emulate. By training, we are apt to think first of the randomized-assignment-to-treatments model coming to us from agricultural experimentation stations, psychological laboratories, randomized trials of medical and pharmaceutical research, and the statistician’s mathematical models. Randomization purports to control an infinite number of rival hypotheses without specifying what any of them are. Randomized assignment never completely controls these rivals but renders them implausible to a degree estimated by the statistical model. The other and older paradigm comes from physical science laboratories and is epitomized by experimental isolation and laboratory control. Here are the insulated and lead-shielded walls; the controls for pressure, temperature, and moisture; the achievement of vacuums; and so on. This older tradition controls for a relatively few but explicitly specified rival hypotheses. These are never controlled perfectly, but well enough to render them implausible. Which rival hypotheses are controlled for is a function of the disputations current in the scientific community at the time. Later, in retrospect, it may be seen that other controls were needed. The case study approach as presented here, and quasi-experimentation more generally, is more similar to the experimental isolation paradigm than to the randomized-assignment-to-treatments model in that each rival hypothesis must be specified and specifically controlled for. The degree of certainty or consensus that the scientific community is able to achieve will usually be less in out-of- doors social science, due to the lesser degree of plausibility-reduction of rival hypotheses that is likely to be achieved. The inability to replicate at will (and with variations designed to rule out specific rivals) is part of the problem. We should use those singular-event case studies (which can never be replicated) to their fullest, but we should also be alert for opportunities to do intentionally replicated case studies. Given Robert Yin’s background (Ph.D. in experimental psychology, with a dozen publications in that field), his insistence that the case study method be done in conformity with science’s goals and methods is perhaps not surprising. But such training and career choice are usually accompanied by an intolerance of the ambiguities of nonlaboratory settings. I like to believe that this shift was facilitated by his laboratory research on that most hard-to-specify stimulus, the human face, and that this experience provided awareness of the crucial role of pattern and context in achieving knowledge. This valuable background has not kept him from thoroughly immersing himself in the classic social science case studies and becoming in the process a leader of nonlaboratory social science methodology. I know of no comparable text. It meets a longstanding need. I am confident that it will become a standard text in social science research methods courses. —Donald T. Campbell Bethlehem, Pennsylvania

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Research Design: Qualitative, Quantitative, and Mixed Methods Approaches

You are here, student resources, welcome to the companion website.

Welcome to the SAGE edge site for Research Design, Fifth Edition .

The SAGE edge site for Research Design by John W. Creswell and J. David Creswell offers a robust online environment you can access anytime, anywhere, and features an array of free tools and resources to keep you on the cutting edge of your learning experience.

This best-selling text pioneered the comparison of qualitative, quantitative, and mixed methods research design. For all three approaches, John W. Creswell and new co-author J. David Creswell include a preliminary consideration of philosophical assumptions, key elements of the research process, a review of the literature, an assessment of the use of theory in research applications, and reflections about the importance of writing and ethics in scholarly inquiry.

The  Fifth   Edition  includes more coverage of: epistemological and ontological positioning in relation to the research question and chosen methodology; case study, PAR, visual and online methods in qualitative research; qualitative and quantitative data analysis software; and in quantitative methods more on power analysis to determine sample size, and more coverage of experimental and survey designs; and updated with the latest thinking and research in mixed methods.

Acknowledgments

We gratefully acknowledge John W. Creswell and J. David Creswell for writing an excellent text. Special thanks are also due to Tim Guetterman of the University of Michigan, Shannon Storch of the University of Creighton, and Tiffany J. Davis of the University of Houston for developing the ancillaries on this site.

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Yin, R. K. (2009). Case study research: Design and methods (4th Ed.). Thousand Oaks, CA: Sage.

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