Impact Evaluation In Practice Second Edition

This handbook provide a non-technical introduction to impact evaluations, including ?Why Evaluate? in Chapter 1, ?How to Evaluate? in Chapter 2 and ?How to Implement Impact Evaluations? in Chapter 3. These elements are the basic ?tools? needed in order to successfully carry out an impact evaluation.

The second edition of the Impact Evaluation in Practice handbook is a comprehensive and accessible introduction to impact evaluation for policy makers and development practitioners. First published in 2011, it has been used widely across the development and academic communities. The book incorporates real-world examples to present practical guidelines for designing and implementing impact evaluations. Readers will gain an understanding of impact evaluations and the best ways to use them to design evidence-based policies and programs. The updated version covers the newest techniques for evaluating programs and includes state-of-the-art implementation advice, as well as an expanded set of examples and case studies that draw on recent development challenges. It also includes new material on research ethics and partnerships to conduct impact evaluation. The handbook is divided into four sections: Part One discusses what to evaluate and why; Part Two presents the main impact evaluation methods; Part Three addresses how to manage impact evaluations; Part Four reviews impact evaluation sampling and data collection. Case studies illustrate different applications of impact evaluations. The book links to complementary instructional material available online, including an applied case as well as questions and answers. The updated second edition will be a valuable resource for the international development community, universities, and policy makers looking to build better evidence around what works in development.

This book offers an accessible introduction to the topic of impact evaluation and its practice in development. While the book is geared principally towards development practitioners and policymakers designing prospective impact evaluations, we trust that it will be a valuable resource for students and others interested in using impact evaluation. Prospective impact evaluations should be used selectively to assess whether or not a program has achieved its intended results, or to test alternatives for achieving those results. We consider that more and better impact evaluation will help strengthen the evidence base for development policies and programs around the world. If governments and development practitioners can make policy decisions based on evidence - including evidence generated through impact evaluation - our hope is that development resources will be spent more effectively, and ultimately have a greater impact on reducing poverty and improving people's lives. The three chapters in this handbook provide a non-technical introduction to impact evaluations, including “Why Evaluate” in Chapter 1, “How to Evaluate” in Chapter 2 and “How to Implement Impact Evaluations” in Chapter 3. These elements are the basic ‘tools' needed in order to successfully carry out an impact evaluation. From a methodological standpoint our approach to impact evaluation is largely pragmatic: we think that the most appropriate methods should be identified to fit the operational context, and not the other way around. This is best achieved at the outset of the program, through the design of prospective impact evaluation that can be built into the project's implementation. We argue that gaining consensus between key stakeholders and identifying an evaluation design that fits the political and operational context is as important as the method itself. We also believe strongly that impact evaluations should be upfront about their limitations and caveats. Finally, we strongly encourage policymakers and program managers to consider impact evaluations in a logical framework that clearly sets out the causal pathways by which the program works to produce outputs and influence final outcomes, and to combine impact evaluations with monitoring and selected complementary evaluation approach to gain a full picture of performance. This book builds on a core set of teaching materials developed for the “Turning Promises to Evidence” workshops organized by the office of the Chief Economist for Human Development (HDNCE) in partnership with regional units and the Development Economics Research Group (DECRG) at the World Bank.

"The alphabet represents knowing the basics, using a widely shared framework, following a sequence, and comprehensiveness. This book delivers all those for evaluation. The style is personal. The examples are easy to understand.... Whether you are new to evaluation or are a professional looking for a refresher on fundamentals, this book offers an alphabet soup sure to please the palate."---Michael Quinn Patton, author of Developmental Evaluation --

Public programs are designed to reach certain goals and beneficiaries. Methods to understand whether such programs actually work, as well as the level and nature of impacts on intended beneficiaries, are main themes of this book.

Impact evaluation is an empirical approach to estimating the causal effects of interventions, in terms of both magnitude and statistical significance. Expanded use of impact evaluation techniques is critical to rigorously derive knowledge from development operations and for development investments and policies to become more evidence-based and effective. To help backstop more use of impact evaluation approaches, this book introduces core concepts, methods, and considerations for planning, designing, managing, and implementing impact evaluation, supplemented by examples. The topics covered range from impact evaluation purposes to basic principles, specific methodologies, and guidance on field implementation. It has materials for a range of audiences, from those who are interested in understanding evidence on "what works" in development, to those who will contribute to expanding the evidence base as applied researchers.

RealWorld Evaluation: Working Under Budget, Time, Data, and Political Constraints addresses the challenges of conducting program evaluations in real-world contexts where evaluators and their clients face budget and time constraints. The book is organized around the authors’ seven-step model that has been tested in workshops and practice environments to help the evaluation implementers and managers make the best choices when faced with real world constraints. The Third Edition includes a new chapter on gender equality and women’s empowerment and discussion of digital technology and data science.

"A Practical Guide to Evaluation presents the mechanisms and processes of evaluation with an eye toward illustrating the impact of evaluation on the long-term success of agencies. The book utilizes a circular six-step Evaluation Decision-Making Model to discuss every stage of the evaluation process, highlighting the model's applicability to different types of evaluations in different professional settings. The new edition of the book has been reformatted as a workbook with tear-out checklists, exercises, and decision-making tasks for each chapter, so students and practitioners will have an opportunity to practice skills taught. Unlike many evaluation manuals, which focus purely on theory, A Practical Guide to Evaluation uses literature reviews and logic models, as well as complete case studies, to help social service practitioners connect theory to planning and evaluation."--Back cover.

Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University

A comprehensive guide to running randomized impact evaluations of social programs in developing countries This book provides a comprehensive yet accessible guide to running randomized impact evaluations of social programs. Drawing on the experience of researchers at the Abdul Latif Jameel Poverty Action Lab, which has run hundreds of such evaluations in dozens of countries throughout the world, it offers practical insights on how to use this powerful technique, especially in resource-poor environments. This step-by-step guide explains why and when randomized evaluations are useful, in what situations they should be used, and how to prioritize different evaluation opportunities. It shows how to design and analyze studies that answer important questions while respecting the constraints of those working on and benefiting from the program being evaluated. The book gives concrete tips on issues such as improving the quality of a study despite tight budget constraints, and demonstrates how the results of randomized impact evaluations can inform policy. With its self-contained modules, this one-of-a-kind guide is easy to navigate. It also includes invaluable references and a checklist of the common pitfalls to avoid. Provides the most up-to-date guide to running randomized evaluations of social programs, especially in developing countries Offers practical tips on how to complete high-quality studies in even the most challenging environments Self-contained modules allow for easy reference and flexible teaching and learning Comprehensive yet nontechnical