RealWorld Evaluation: Working Under Budget, Time, Data, and Political Constraints / Edition 1

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Real World Evaluation: Working Under Budget, Time, Data, and Political Constraints is the only textbook that provides specific guidance on how to conduct evaluations when working under resource and/or data constraints. Authors Michael Bamberger, Jim Rugh, and Linda Mabry illustrate options for addressing each constraint through practical examples from both developed and developing countries to show how adapting to different types of exigencies can lead to successful evaluations.

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Product Details

  • ISBN-13: 9781412909464
  • Publisher: SAGE Publications
  • Publication date: 4/28/2006
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 504
  • Product dimensions: 6.90 (w) x 9.90 (h) x 1.10 (d)

Meet the Author

Michael Bamberger has almost 40 years of experience in development evaluation, including a decade working with nongovernmental organizations in Latin America; almost 25 years working on evaluation with the World Bank in most of the social and economic sectors and in most regions of the world; and ten years as an independent evaluation consultant including programs with ten United Nations agencies, and multi-lateral and bi-lateral development agencies. He has published three books and several monographs and handbooks on development evaluation, and numerous articles in professional journals. He has been active for 20 years with the American Evaluation Association, serving on the Board and as Chair of the International Committee. He has served on the Editorial Advisory Board of New Directions for Evaluation, the Journal of Development Effectiveness, the Journal of Mixed Methods Research and the American Journal of Evaluation, and is a regular reviewer for several professional evaluation journals. He has taught program evaluation in more than 30 countries in Africa, Latin America, Asia, and the Middle East, and since 2002 has been on the Faculty of the International Program for Development Evaluation Training (IPDET) in Ottawa, Ontario, Canada, and since 2001 has lectured at the Foundation for Advanced Studies on International Development (FASID) in Tokyo.

Jim Rugh has had 41 years of professional involvement in rural community development in Africa, Asia, and Appalachia. He has specialized in evaluation for 25 years-the past 10 years as head of Design, Monitoring and Evaluation for CARE International, a large nongovernmental organization (NGO). His particular skills include promoting strategies for enhanced capacity for evaluation throughout this worldwide organization. He is a recognized leader in evaluation among colleagues in the international NGO community, including Inter Action. He has been an active member of the American Evaluation Association since 1986, currently serving on the Nominations and Election Committee. He was a founding member of the Atlanta-area Evaluation Association. He has experience in promoting community development and evaluating and facilitating self-evaluation by participants in such programs. He has provided training for and/or evaluated many different international NGOs. He brings a perspective of the “big picture,” including familiarity with a wide variety of community groups and assistance agencies in many countries, plus an eye to detail and a respect for inclusiveness and the participatory process.

Linda Mabry is an immediate past member of the Board of Directors of the American Evaluation Association and serves on the Public Affairs Committee and as chair of the task force to develop a public statement on Educational Accountability. She is also a member of the Board of Trustees for the National Center for the Improvement of Educational Assessments and of the editorial board for Studies in Educational Evaluation. For six years, she served as leader of the evaluation course strand at Indiana University School of Education, teaching a variety of evaluation courses providing practical experiences for graduate students. She has conducted evaluations for the U.S. Department of Education, National Science Foundation, National Endowment for the Arts, the Jacob Javits Foundation, Hewlett-Packard Corporation, Ameritech Corporation, ATT-Comcast Corporation, the New York City Fund for Public Education, the Chicago Arts Partnerships in Education, the Chicago Teachers Academy of Mathematics and Science, and a variety of university, state, and school agencies. She has written several books, including Evaluation and the Postmodern Dilemma (1997).

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Table of Contents

Introduction PART I. OVERVIEW: REALWORLD EVALUATION Chapter 1: Real World Evaluation and the Contexts in Which It Is Used Welcome to Real World Evaluation The Real World Evaluation Context The Four Types of Constraints Addressed by the Real World Approach The Real World Evaluation Approach to Evaluation Challenges Comparing the Real World Evaluation Context and Issues in Developing and Developed Countries Who Uses Real World Evaluation, for What Purposes, and When?
Summary Further Reading PART II. THE SEVEN STEPS OF THE REALWORLD EVALUATION APPROACH Chapter 2: First clarify the purpose: Scoping the evaluation Stakeholder expectations of impact evaluations Understanding information needs Developing the program theory model Identifying the constraints to be addressed by the RWE and determining the appropriate evaluation design Developing the Terms of Reference for the Evaluation Summary Further reading Chapter 3: Not enough money: Addressing budget constraints Simplifying the evaluation design Clarifying client information needs Using existing data Reducing costs by reducing sample size Reducing costs of data collection and analysis Common threats to validity of budget constraints Summary Further reading Chapter 4: Not enough time: Addressing scheduling and other time constraints Similarities and differences between time and budget constraints Simplifying the evaluation design Clarifying client information needs Using existing documentary data Reducing sample size Rapid data collection methods Reducing time pressures on outside consultants Hiring more resource people Building outcome indicators into project records Data collection and analysis technology Common threats to adequacy and validity relating to time constraints Summary Further reading Chapter 5: Critical information is missing or difficult to collect: Addressing data constraints Data issues facing Real World evaluators Reconstructing baseline data Special issues in reconstructing comparison groups Collecting data on sensitive topics or from groups who are difficult to reach Common threats to adequacy and validity relating to data constraints Summary Further reading Chapter 6: Reconciling different priorities and perspectives: Addressing political influences Values, ethics, and politics Political issues at the outset of an evaluation Political issues during the conduct of an evaluation Political issues in evaluation reporting and use Real World strategies for addressing political constraints Summary Further reading Chapter 7: Strengthening the evaluation design and the validity of the conclusions Validity in evaluation Factors affecting adequacy and validity Assessing the adequacy of quantitative evaluation designs Strengthening validity in quantitative evaluations Assessing the adequacy of qualitative evaluation designs Strengthening validity in qualitative evaluations Points during the RWE evaluation cycle when corrective measures can be taken Summary Further reading Chapter 8: Making it useful: Helping clients and other stakeholders utilize the evaluation The underutilization of evaluations studies The importance of the Real World evaluation scoping phase for utilization Formative evaluation strategies Communicating with clients throughout the evaluation Evaluation capacity building Communicating findings Developing a follow-up action plan Summary Further reading PART III A REVIEW OF EVALUATION METHODS AND APPROACHES AND THEIR APPLICATIONS IN REALWORLD EVALUATION Chapter 9 Applications of program theory in Real World evaluation Defining Program Theory Evaluation Applications of Program Theory in evaluation Constructing Program Theory Models Logical framework analysis and results chains Program theory evaluation and causality Summary Further reading Chapter 10: The Most Widely-Used Real World Quantitative Evaluation Designs Randomized and quasi-experimental evaluation designs The most widely used quantiative designs Ways to strengthen quantitative RWE designs Seven quasi-experimental designs that cover most RWE scenarios Summary Further reading Chapter 11 Quantitative evaluation methods The quantitative and qualitative traditions in evaluation research Quantitative methodologies Applications of quantitative methodologies in program evaluation Quantitative methods for data collection The management of data collection for quantitative studies Data analysis Summary Further reading Chapter 12 Qualitative evaluation methods Qualitative methodology and tradition Qualitative methodology: An overview Different reasons for using different methodologies Qualitative data collection Qualitative data analysis Summary Further reading Chapter 13 Mixed-method evaluation The mixed method approach Mixed-method strategies Implementing a mixed-method design Summary Further reading Chapter 14 Sampling for Real World Evaluation The Importance Of Sampling For RWE Purposive sampling Probability (random) sampling Using power analysis and effect size for estimating the appropriate sample size Determining The Size Of The Sample The Contribution of Meta-Analysis Sampling Issues For Mixed-Method Evaluations Sampling issues for RWE Summary Further reading PART IV. PULLING IT ALL TOGETHER Chapter 15 Learning together: Building Capacity For Real World Evaluation Defining evaluation capacity building Real World evaluation capacity building Designing and delivering evaluation capacity building Summary Further reading Chapter 16: Bringing it all together: Applying Real World evaluation approaches to each stage of the evaluation process Scoping the evaluation Choosing the best design from the available options Determining appropriate methodologies Ways to strengthen RWE designs Staffing the evaluation economically Collect data efficiently Analyze the data efficiently Report findings efficiently and effectively Help clients use the findings well Appendices Glossary of terms References

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