Everything about Impact evaluation
Assessment of particular interventions
Impact evaluation assesses the extent to which an intervention is causally responsible for observed outcomes, intended and unintended. In contrast to outcome monitoring, which examines whether targets have been achieved, impact evaluation is structured to answer the question: how would outcomes such as participants' well-being have changed if the intervention had not been undertaken? This involves counterfactual analysis, that is, "a comparison between what actually happened and what would have happened in the absence of the intervention." Impact evaluations seek to answer cause-and-effect questions. In other words, they look for the changes in outcome that are directly attributable to a program. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Impact evaluationA 5-minute orientation
- Skim a recent paper: On the evaluation of climate change impact modelsInfluential work since 2022
- Pick up a classic book: Generic environmental impact statement for license renewal of nuclear plantsThe most-reprinted book on the subject
- Read the landmark paper: Evaluating the public health impact of health promotion interventions: the RE-AIM framework.Cited 6,092 times
- Go sideways: Quasi-experimentA closely related topic
- Go sideways: Randomized controlled trialA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🏆 Landmark papers (most cited)
Evaluating the public health impact of health promotion interventions: the RE-AIM framework.
Impact Evaluation of PRONTO Mexico
Current Challenges in Impact Evaluation
Psychological Impact Evaluation of Early Marriages
The True Impact of Evaluation
TOTAL IMPACT EVALUATION OF TRANSPORTATION SYSTEMS
Introduction - Rethinking Impact Evaluation for Development
Advocacy Impact Evaluation
🆕 Influential since 2022
On the evaluation of climate change impact models
Dialysis headache: characteristics, impact and cerebrovascular evaluation
Evaluation of the impact of hackathons in education
Evaluation of microwave aging impact on asphalt mixtures
Investigating bias in impact observation sources and implications for impact-based forecast evaluation
📚 Books worth reading
- 📕Generic environmental impact statement for license renewal of nuclear plantsU.S. Nuclear Regulatory Commission. Office of Nuclear Reactor Regulation · 2010
- 📕Forecasts and environmental decisionmakingPaul J. Culhane · 1987
Comparing Environmental RisksJ. Clarence Davies · 1995
Scaling in integrated assessmentJ. Rotmans · 2003
Ecological Causal AssessmentSusan B. Norton, Glenn W. Suter II · 2014- 📕The No-action alternativeJ. S. Lane · 1979
Regional climate change and variabilityMatthias Ruth, Kieran Donaghy · 2006
Environmental ViewpointsDaniel Marowski · 1992
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Quasi-experiment A quasi-experiment is a research design used to estimate the causal impact of an intervention. This research design is aimed at assessing the difference…
- Randomized controlled trial A randomized controlled trial (RCT) is a type of statistical experiment designed to evaluate the efficacy or safety of an intervention by minimizing bias…
- Regression discontinuity design Regression discontinuity designs (RDD) are a quasi-experimental pretest–posttest design that attempts to determine the causal effects of interventions…
- Experimental benchmarking Experimental benchmarking allows researchers to learn about the accuracy of non-experimental research designs. Specifically, one can compare observational…
- Field experiment Field experiments are experiments carried out outside of laboratory settings. They are different from others in that they are conducted in real-world settings…
- Observational study An observational study is a type of research design in which outcomes are measured to identify patterns or associations without attempts by the investigator…
- Confounding In causal inference, confounding is a form of systematic error (or bias) that can distort estimates of causal effects in observational studies. A confounder…
- Average treatment effect The average treatment effect (ATE) is a measure used to compare treatments (or interventions) in randomized experiments, evaluation of policy interventions…