Resource ID: INDIGO-ARES-0103
Link: https://www.unicef-irc.org/KM/IE/impact_1.php
Recognizing the importance of impact evaluation to UNICEF's work, the Office of Research - Innocenti has collaborated with RMIT University, the International Initiative for Impact Evaluation (3ie), and BetterEvaluation to produce a series of methodological briefs and videos on the topic. The series covers the building blocks of impact evaluation, strategies for causal attribution, and different data collection and analysis methods.
Impact evaluation provides information about the impacts produced by an intervention. It can be undertaken of a programme or a policy, or upstream work – such as capacity building, policy advocacy and support for an enabling environment. This goes beyond looking only at goals and objectives to also examine unintended impacts. This brief provides an overview of the different elements of impact evaluation and options for planning and managing its various stages.
Impact goal: Health, Defence, Housing, Agnostic, Democracy, Education, Well being, SDG oriented, Social impact, Local rejuvenation, Sustainability eco, Development poverty reduction, Employment financial well being
Internal/external: External, Internal
Leader: UNICEF
Method: Rcts, Attribution, Operational data, Diff in diff statistical analysis
Output format: Ordinal, Agnostic, Qualitative only, Monetary valuation, Quant but no index, Non monetary quant index
Scale: Macro
Sourcing: Self driven
Time frame: Ongoing, Prospective, Retrospective
Type: Guide
Used in sectors: Igos, Charity, Development, 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.