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Filter search resultsThe use of monitoring and evaluation in agriculture and rural development projects
The document reviews monitoring and evaluation practises carried out in agricultural and rural development projects, financed by the World Bank.ResourceSampling - Yale University
This course paper defines three different simplified sampling options.Contents Simple random sampling Stratified random sampling Multistage random samplingResourceDIY M&E: A step-by-step guide to building a monitoring and evaluation framework
This guide, written by Dana Cross of Grosvenor Management Consulting, gives an overview of how to create an M&E framework.ResourceConference on Improving the use of M&E - Keynote speech by Marlene Läubli Loud
This keynote presentation given by Marlene Läubi Loud at the CDI Conference 2014: Improving the use of M&E processes and findings presents the current state of affairs regarding the utilisation of M&E processes anResourceHow to build M&E systems to support better government
This volume highlights the experience of several countries which have succeeded in building a well-functioning government M&E system, including Chile, Colombia and Australia.ResourceAdapting evaluation in the time of COVID-19 – Part 4: Describe
We’re continuing our series, sharing ideas and resources on ways of ensuring that evaluation adequately responds to the new challenges during the pandemic.BlogThe logical framework approach
This publication is part of a series of guidelines developed by AusAid in relation to activities design.ResourceCritical systems heuristics: A systematic review
This paper argues that critical systems heuristics (CSH) has been an influential approach, but one that is underutilised compared with other methods.ResourceCritical systems heuristics: The idea and practice of boundary critique
This chapter provides a detailed introduction to critical systems heuristics and the use of its central tool, boundary critique.ResourceSampling for surveys: Stratified random sampling
These instructional videos provide a guide and examples of how to apply stratified random sampling.ResourceSampling for surveys: Clustered random sampling
These instructional videos provide a guide and examples of how to apply clustered random sampling.ResourceSampling for surveys: Sample size calculations
This instructional video explains how to calculate a sample size for a survey.ResourceO sistema de monitoramento e avaliação dos programas de promoção e proteção social do Brasil
Apresentação do sistema brasileiro de monitoramento e avaliação de programas sociais, como parte da cooperação Brasil-Africa .ResourceCritical system heuristics
An approach used to surface, elaborate, and critically consider the options and implications of boundary judgments, that is, the ways in which people/groups decide what is relevant to what is being evaluated.ApproachEvaluation for equitable development results
This document comprises a range of Evaluation Working Papers (EWP) focused on evaluation for equitable development.ResourceWerner Ulrich's home page
This website provides a variety of resources from Werner Ulrich's work in a range of philosophical and research areas with a particular focus on his own work in critical systems thinking and practice or Critical Systems Heuristics (CSH).ResourceMini-primer of Critical Systems Heuristics
This short summary of Critical Systems Heuristics (CSH) by Werner Ulrich gives an overview of what CSH is and how it can be applied.ResourceSampling for surveys: Simple random sampling
These instructional videos introduce the topic of sampling for surveys and provide a guide and examples of how to apply simple random sampling.Resource6: Sample size and power calculations
This presentation explores methods for identifying the right sample size for randomized evaluations so that results are defendable.ResourceClearing the fog: New tools for improving the credibility of impact claims
This IIED Briefing Paper shows that the methods of process tracing and Bayesian updating can facilitate a dialogue between theory and evidence that allows for the assessing of the degree of confidence in ‘contribution claims’ in a transpareResource