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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.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 .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.ResourceIterative design and monitoring for adaptive management: How causal link monitoring can help
Development actors are embracing the concept and practice of adaptive management, using evidence to inform ongoing revisions throughout implementation.BlogClearing 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 transpareResourceDiscussion note: Complexity aware monitoring
USAID’s Office of Learning, Evaluation and Research (LER) has produced a Discussion Note: Complexity-Aware Monitoring, intended for those seeking cutting-edge solutions to monitoring complex aspects of strategies and projects.ResourceCausal Pathways introductory session: Causal link monitoring
This session of the Causal Pathways Symposium 2023, by Heather Britt, introduced causal link monitoring, a method for integrating monitoring data and evaluation in order to address causality amid complexity.ResourceCausal link monitoring brief
Causal Link Monitoring (CLM) integrates design and monitoring to support adaptive management of projects.ResourceCausal Pathways 2023 Symposium and 2024 introductory sessions
This series of webinars was first presented at the Causal Pathways Symposium 2023, which focused on "connecting, learning, and building a shared understanding of the evaluation and participatory practices that make causal pathways more visible"ResourceCausal link monitoring
Causal link monitoring (CLM) is an approach to designing and implementing monitoring, evaluation and learning (MEL) systems that prioritise information for managing adaptively in complexity.Approach