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This module from the International Program for Development Evaluation Training (IPDET) provides a detailed outline of the methods and processes for presenting evaluation results. The information is presented in a series of lessons with tips and quizzes for each section.
Weighting of Agricultural Research Results: Strength and Limitations of the Analytic Hierarchy Process (AHP)ResourceOverview1999
This paper discusses the usefulness of Analytic Hierarchy Process (AHP) in weighting agricultural research results in ex-post research evaluation. It provides the basis for theoretical discussion, reviews different methods and gives an in depth practical example of its application. It also discusses the strengths and weaknesses of the method and its application to agricultural research.
Proving and Improving the Impact of Development Partnerships- 12 Good Practices for Results MeasurementResourceDiscussion paper2014
This paper, written by Michael Bamberger for the World Bank, analyses why baseline studies are not always conducted and then outlines strategies that can be used to reconstruct baseline data later in the program cycle.
Bringing the invisible into perspective: Reference document for using the 5Cs framework to plan, monitor and evaluate capacity and results of capacity development processesResourceDiscussion paper2011
What is it?
One of the ways of understanding causes (i.e. the extent to which an intervention caused outcomes) is to compare the observed results to those you would expect if the intervention had not been implemented - this is known as the 'counterfactual'. There are three broad options for creating a counterfactual. These are: