Use measures, indicators or metrics: What measures or indicators will be used? Are there existing ones that should be used or will you need to develop new measures and indicators?
Collect and/ or retrieve data: How will you collect and/ or retrieve data about activities, results, context and other factors?
Manage data: How will you organize and store data and ensure its quality?
Combine qualitative and quantitative data: How will you combine qualitative and quantitative data?
Analyze data : How will you investigate patterns in the numeric or textual data?
Visualize data: How will you display data visually?
5. UNDERSTAND CAUSES of outcomes and impacts
Collect and analyze data to answer causal questions about what has produced outcomes and impacts that have been observed.
Check that results support causal attribution: How will you assess whether the results are consistent with the theory that the intervention produced them?
Compare results to the counterfactual: How will you compare the factual with the counterfactual – what would have happened without the intervention?
Investigate possible alternative explanations: How will you investigate alternative explanations?
6. SYNTHESIZE data from one or more evaluations
Combine data to form an overall assessment of the merit or worth of the intervention, or to summarize evidence across several evaluations.
Synthesize data from a single evaluation: How will you synthesize data from a single evaluation?
Synthesize data across evaluations: Do you need to synthesize data across evaluations? If so, how should this be done?
Generalize findings: How can the findings from this evaluation be generalized to the future, to other sites and to other programs?
21
Powered by FlippingBook