Handbook On Impact Evaluation Quantitative Methods And Practices Pdf

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Handbook on Impact Evaluation: Quantitative Methods and Practices

Impact evaluations can be divided into two categories: prospective and retrospective. Prospective evaluations are developed at the same time as the program is being designed and are built into program implementation. Baseline data are collected prior to program implementation for both treatment and comparison groups. Retrospective impact evaluations assess program impact after the program has been implemented, generating treatment and comparison groups ex-post. In general, prospective impact evaluations are more likely to produce strong and credible evaluation results.

Experimental and Quasi-Experimental Designs for Generalized Causal Inference This updated volume, by Shadish, Cook and Campbell, remains the basic text on what we today call impact evaluation design. Use of Randomization in the Evaluation of Development Effectiveness. Running Randomized Evaluations: A Practical Guide This guide provides detailed information on the steps and challenges involved in successfully executing impact evaluations.

ADS requires that each Mission and Washington OU must conduct an impact evaluation, if feasible, of any new, untested approach that is anticipated to be expanded in scale or scope through U. Government foreign assistance or other funding sources i.

Pilot interventions should be identified during project or activity design, and the impact evaluation should be integrated into the design of the project or activity. Missions initially identify which of their evaluations during a CDCS period will be impact evaluations and which will be performance evaluations in their PMP.

This type of impact evaluation can potentially be employed whenever an intervention is delivered to some but not all members of a population, i. This type of design may also be feasible when USAID projects introduce an intervention on a phased basis. The identification of a valid comparison group is critical for impact evaluations. In principle, the group or area that receives an intervention should be equivalent to the group or area that does not.

The more certain we are that groups are equivalent at the start, the more confident we can be in claiming that any post-intervention difference is due to the project being evaluated. For this reason, USAID evaluation policy prefers a method for selecting a comparison group that is called randomized assignment, as this method for constructing groups that do and do not receive an intervention is more effective than any other when it comes to ensuring that groups are equivalent on a pre-intervention basis.

Any other method of assigning members of a population to treatment and comparison groups, no matter how elaborate or carefully developed, involves decisions by evaluators about the basis on which population members will be assigned to the treatment or comparison groups. Evaluator involvement in these decisions automatically steps away from the 'equal chance' proposition and introduces the possibility of bias either deliberate or inadvertent in the assignment process.

Both experimental and quasi-experimental designs can produce credible impact evaluation findings, but there is a difference, and their classifications signal what that difference is.

For impact evaluations, experimental methods generate the strongest evidence. Alternative methods should be utilized only when random assignment strategies are infeasible. Other impact evaluation designs, are intended for use when populations that are known to be different such as those living above and below a poverty line are to be compared after the poorer group receives an intervention that is designed to improve their circumstances.

Skip to main content. Agency for International Development. Search Fusion Enter the terms you wish to search for. Impact Evaluation Designs. Speeches Shim. Randomized Assignment Randomized assignment is a method for creating groups that do and do not receive a project intervention. Randomized assignment can be achieved in a number of ways including flipping a coin; computer generated assignments, or a lottery, where the number of participants is greater than the number that can draw tickets that assignment them to the intervention or treatment group.

With all of these methods, all members of a population or all members of a representative sample of a large population have an equal chance of ending up in the intervention or treatment group. The resulting treatment and non-treatment or control groups are deemed to be functionally equivalent, as all of the other characteristics of population members have been distributed across both groups. Along this continuum, the preference in USAID's Evaluation Policy is clear: For impact evaluations, experimental methods generate the strongest evidence.

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Stay Connected. Randomized assignment is a method for creating groups that do and do not receive a project intervention.

Handbook on Impact Evaluation: Quantitative Methods and Practices

Seuss, this book reviews quantitative methods and models of impact evaluation the formal literature on impact evaluation methods and practices is large with a few useful overviews yet there is a need to put the theory into. Book Description. This comprehensive Handbook is the first to provide a practical, interdisciplinary review of ethical issues as they relate to quantitative methodology including how to present evidence for reliability and validity, what comprises an adequate tested population, and what constitutes scientific knowledge for eliminating ivmarkt. Martin Ravallion provides an entertaining introduction to the world of impact evaluation. Closer to home, Hiscox, Schwartz, and Toffel discuss issues of impact or performance evaluation in the context of SA certification. Their chapter provides another accessible introduction to these methods.

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Handbook On Impact Evaluation Quantitative Methods And Practices

Shahidur R. Khandker , Gayatri B. Koolwal , Hussain A. 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.

Wolpin, Pereira da Silva, Essama-Nssah, B. Jeffrey M Wooldridge,

Jump to navigation. This book provides "a comprehensive overview of steps in designing and evaluating programs amid uncertain and potentially confounding conditions. It draws from a rapidly expanding and broadbased literature on program evaluation—from monitoring and evaluation approaches to experimental and nonexperimental econometric options for designing and conducting impact evaluations. The book provides exercises and examples on a variety of evaluation options.

Handbook on Impact Evaluation: Quantitative Methods and Practices

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Impact Evaluation – A Model Guidance And Practical Examples

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3 Response
  1. Alfred B.

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