Resource ID: INDIGO-ARES-0042
Link: https://www.3ieimpact.org/our-expertise/impact-evaluation
3ie impact evaluations provide evidence of what works or not, for whom, and why in international development. We require designs based on the intervention’s theory of change that use a counterfactual*. Methods should ensure that the evaluation addresses differential impacts due to the effects of gendered inequality. We fund preparation phases to ensure that teams engage with key stakeholders in the selection of evaluation questions, design and methods. This phase may include process and formative evaluations. We assure the quality of 3ie-funded studies through a collaborative partnership among our evaluation and evidence use specialists, our grantees, and independent expert reviewers.
In addition to more comprehensive evidence programmes, 3ie is able to respond to partners who want us to produce or manage a given evidence product or service, such as evidence gap maps, assuring the quality of evaluation design and team selection, and/or managing impact evaluation implementation.
Impact goal: SDG oriented, Development poverty reduction
Internal/external: External, Internal
Leader: 3ie
Method: Rcts, Diff in diff statistical analysis
Output format: Quant but no index
Scale: Meso
Sourcing: Outsource to vendor
Time frame: Prospective
Type: Consultancy
Used in sectors: Development, Microfinance, Social enterprises
Who: Third sector, Public sector
INDIGO data are shared for research and policy analysis purposes. INDIGO data can be used to support a range of insights, for example, to understand the social outcomes that projects aim to improve, the network of organisations across projects, trends, scales, timelines and summary information. The collaborative system by which we collect, process, and share data is designed to advance data-sharing norms, harmonise data definitions and improve data use. These data are NOT shared for auditing, investment, or legal purposes. Please independently verify any data that you might use in decision making. We provide no guarantees or assurances as to the quality of these data. Data may be inaccurate, incomplete, inconsistent, and/or not current for various reasons: INDIGO is a collaborative and iterative initiative that mostly relies on projects all over the world volunteering to share their data. We have a system for processing information and try to attribute data to named sources, but we do not audit, cross-check, or verify all information provided to us. It takes time and resources to share data, which may not have been included in a project’s budget. Many of the projects are ongoing and timely updates may not be available. Different people may have different interpretations of data items and definitions. Even when data are high quality, interpretation or generalisation to different contexts may not be possible and/or requires additional information and/or expertise. Help us improve our data quality: email us at indigo@bsg.ox.ac.uk if you have data on new projects, changes or performance updates on current projects, clarifications or corrections on our data, and/or confidentiality or sensitivity notices. Please also give input via the INDIGO Data Definitions Improvement Tool and INDIGO Feedback Questionnaire.