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Filter search resultsGuidance on M&E for civil society programs
This guide from the Australian Department of Foreign Affairs and Trade (DFAT, formerly AusAID) is aimed at program managers who have responsibility forResourceUsing the context, input, process, and product evaluation model (CIPP) as a comprehensive framework
This Journal article, in the context of education, provides an overview of what the CIPP model is, in which circumstances it is useful, and finally provides a practical example of how the model was used.ResourceCIPP evaluation model checklist
Stufflebeam provides an explanation of what CIPP is, and a checklist designed to help evaluators evaluate programs with relatively long-term goals.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.BlogDiscussion 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