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Filter search resultsAES guidelines for the ethical conduct of evaluations
These guidelines from the Australasian Evaluation Society (AES) were designed to ensure ethical behaviour and decision-making are incorporated into evaluation practice.ResourceOutcome monitoring in large multi-stakeholder research programmes: Lessons from PRISE
This guest blog by Tiina Pasanen and Kaia Ambrose discusses how the Pathways to Resilience in Semi-arid Economies (PRISE) project approached the challenge of coming up with&nbsBlogAid delivery methods: Project cycle management guidelines
These guidelines from the European Commission have been prepared to support ongoing improvements in the quality of development assistance.ResourceOutcome monitoring and learning in large multi-stakeholder research programmes: lessons from the PRISE consortium
This discussion paper outlines the key lessons to emerge from designing and applying an outcome monitoring system to the Pathways to Resilience in Semi-arid Economies (PRISE) project.ResourceInformal traders lock horns with the formal milk industry: The role of research in pro-poor dairy policy shift in kenya
This paper, written by C. Leksmono, J. Young, N. Hooton, H. Muriuki and D.Resource52 weeks of BetterEvaluation: Week 16: Identifying and documenting emergent outcomes of a global network
Global voluntary networks are complex beasts with dynamic and unpredictable actions and interactions. How can we evaluate the results of a network like this? Whose results are we even talking about?BlogEvaluation ethics, politics, standards, and guiding principles
This is a module taken from the International Program for Development Evaluation Training (IPDET) program.ResourceGuidelines to avoid conflict of interest in independent evaluations
These guidelines from the Asian Development Bank (ADB) set out the procedures that need to be taken into account when assessing the independence of evaluation and audit functions to ensure ethical requirements are met.ResourceExample outcome journal template
This template is based on the original Outcome Mapping guidance, incorporating elements from Outcome Harvesting (e.g. significance) and allowing tagging to particular progress markers (rather than listing them all as the original does).ResourceOutcome Mapping
Outcome Mapping is an approach that helps unpack an initiative’s theory of change and provides a framework to collect data on the immediate, basic changes that lead to longer, more transformative change. This allows for the plausible assessment of the…ApproachIterative 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.Blog20 years of outcome mapping: Evolving practices for transformative change
This paper reflects on the evolving use of Outcome Mapping 20 years after the first publication on this approach. The resource also provides a "set of guiding practices to support transformative change":Resource10 years of outcome mapping
This webinar from the Outcome Mapping Learning Community (OMLC) presents the key findings from research conducted into the extent of Outcome Mapping use and the support required for its implementation.ResourceOutcome mapping + equity, gender, and social justice
This paper introduces OM+, a new approach to thinking about and using Outcome Mapping (OM) for supporting transformative change through a focus on inclusion and leadership for equity, gender, and social justice.ResourceRetrospective 'outcome harvesting': Generating robust insights
This paper describes the use of the Outcome Harvesting approach to evaluate a global voluntary network.ResourceOutcome Mapping Learning Community
This website from the Outcome Mapping Learning Community is a resource and sharing hub for resources and ideas related to outcome mapping.ResourceDiscussion 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.ResourceOutcome mapping: A method for tracking behavioural changes in development programs
This guide published by the Institutional Learning and Change (ILAC) Initiative provides a detailed overview of using outcome mapping as an evaluation tool.ResourceOutcome mapping: Building learning and reflection into development programs
This book by Sarah Earl, Fred Carden and Terry Smutylo takes an original approach to assessing development impacts by focusing on the way in which people relate to each other and to their environment rather than simply evaluating the pResourceCausal 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"ResourceThe African evaluation principles
This resource sets out the African Evaluation Principles, developed by the African Evaluation Association (AfrEA), for use by "individuals, organisations and coalitions who finance, commission, manage, conduct and educate about evaluation iResourceThe African evaluation guidelines: 2002
This paper from the African Evaluation Association (AfrEA) provides a brief description of the guidelines and a series of checklists to assist with the planning, implementation and completion of the evaluation process.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