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Filter search resultsParticipatory video and the most significant change. A guide for facilitators
The toolkit is designed to support you in planning and carrying out evaluations using participatory video (PV) with the most significant change (MSC) technique, or PVMSC for short.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.ResourceCausal Attribution Video
This video guide, produced by UNICEF, outlines three broad strategies for causal attribution: 1) estimating the counterfactual; 2) checking the consistency of evidence for the causal relationships made eResourceStrategy development: Most significant change (MSC)
This guide to the Most Significant Change approach, by the Overseas Development Institute (ODI), provides an overview, a detailed description of the process, and an example of the technique in action.ResourceUNICEF webinar: Overview: strategies for causal inference
What is causal attribution? Do you need a counterfactual to determine if something has caused a change? Professor Patricia Rogers provides an overview of how to determine causal attribution in impact evaluations.ResourceRethinking Social Inquiry: Diverse Tools, Shared Standards (Second Edition)
This second edition of Rethinking Social Inquiry has the aim of redirecting ongoing discussions of methodology in social and political science.ResourceImpact evaluation: A guide for commissioners and managers
This guide, written by Elliot Stern, aims to support managers and commissioners in gaining a deeper and broader understanding of impact evaluation.ResourceContemporary thinking about causation in evaluation
This paper was produced following a discussion between Thomas Cook and Michael Scriven held at The Evaluation Center and Western Michigan University’s Interdisciplinary PhD in Evaluation program jointly hosted Evaluation Cafe´ event on contResourceInternational advocacy evaluation community of practice's webinar
In this webinar from the International Advocacy Evaluation Community of Practice demonstrates how Most Significant Change and Participatory Video were used to evaluaResourceBradford Hill criteria for causal inference
Based on a presentation at the 2015 ANZEA Conference, this free downloadable book presents the Bradford Hill criteria and discusses some ways of using them in practice to draw causal conclusions.ResourceThe environment and disease: Association or causation?
In this original article from 1965, Sir Austin Bradford Hill, Professor Emeritus of Medical Statistics, lays out what will ultimately come to be known as the Bradford Hill criteria.ResourceEnvironmental flows monitoring and assessment framework
This resource from the Cooperative Research Centre for Freshwater Ecology provides a framework for assessing environmental flow management plans.ResourceThe 'Most Significant Change' technique - A guide to its use
Essential reading for anyone seeking to use the 'Most Significant Change' (MSC) technique.ResourceTécnica del “Cambio Más Significante” (MSC, por sus siglas en inglés) - Guía para su uso
La técnica del cambio más significante (MSC, por sus siglas en inglés) es una forma de monitoreo y evaluación participativa.Resourceモスト・シグニフィカント・チェンジ (MSC)手法
モスト・シグニフィカント・チェンジ(MSC)手法は、参加型モニタリング・評価手法の一つである。 記録すべき変化の決定やデータ分析の過程に、多くの利害関係者(ステーク ホルダー)が関与することから、参加型と言える。また、プログラム・サイクルの全工程 で実施され、プログラムを実施管理するうえで有効な情報を提供することから、モニタリ ング手法と言える。さらに、プログラム全体の業績を評価するうえで有用であり、インパ クトや効果に関する情報を提供してくれる。ResourceMaking causal claims
This brief, authored by John Mayne for the Institutional Learning and Change (ILAC) Initiative argues the need for a different perspective on causality.ResourceThe rigor of case-based causal analysis: Busting myths through a demonstration
This paper focuses on the utilisation of case-based designs for conducting causal analysis and dispelling two misconceptions about their use in the context of evaluation.ResourceUsing Most Significant Change to measure impact
Evaluators often struggle to measure impact in cases where using an experimental design is not feasible.Resource