The BetterEvaluation Resource Library contains hundreds of curated and co-created resources related to managing, conducting, using, and strengthening capacity for evaluation.
You can use the search field and filtering on this page to find resources that you are interested in or you can browse our extensive list. An alternative way to find resources best suited to your needs is to explore the Rainbow Framework, where you can find resources relating to evaluation methods, approaches and tasks.
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Case study: Using QuIP to evaluate Tearfund’s church and community transformation programme
This resource provides an example of the use of the Qualitative Impact Assessment Protocol (QuIP) approach in an ongoing evaluation of a Tearfund programme.QuIP: Understanding clients through in-depth interviews
This practice note gives a step-by-step guide to developing and conducting in-depth interviews using the QuIP approach, and analysing the information and making conclusions based on what you have learned.Outcome 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.Contribution analysis: An approach to exploring cause and effect
This brief from the Institutional Learning and Change Initiative (ILAC) explores contribution analysis and how it can be used to provide credible assessments of cause and effect.Set-theoretic methods for the social sciences: A guide to qualitative comparative analysis
This book, by Schneider and Wagemann, provides a comprehensive overview of the basic principles of set theory to model causality and applications of Qualitative Comparative Analysis (QCA), the most developed form of set-theoretic method, foThe art and craft of bricolage in evaluation
This CDI Practice Paper, by Tom Aston and Marina Apgar, makes the case for ‘bricolage’ in complexity-aware and qualitative evaluation methods.Clearing 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 transpareTools and tips for implementing contribution analysis
This learning brief offers practical lessons on applying contribution analysis to advocacy impact evaluations. Authors Laura Hopkins, ITAD Ltd., published by Center for Evaluation Innovation.Retrospective 'outcome harvesting': Generating robust insights
This paper describes the use of the Outcome Harvesting approach to evaluate a global voluntary network.QuIP in action: Save the Children case study
This resource provides an example of the use of the Qualitative Impact Assessment Protocol (QuIP) approach in evaluations of Save the Children's programmes.From narrative text to causal maps: QuIP analysis and visualisation
This paper focuses on analysing raw data to produce useful visual summaries, describing in detail the processes involved in a QuIP analysis.Rethinking rigour to embrace complexity in peacebuilding evaluation
This 2024 open-access journal article presents the inclusive rigour framework and applies it to three cases of peace-building evaluation.Outcome 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.Discussion 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.The book of why: The new science of cause and effect - Book review
This review of The Book of Why: The New Science of Cause and Effect attempts to explain "reclaiming causal" from the perspective of an influential statistician and thinker.Contribution analysis and estimating the size of effects: Can we reconcile the possible with the impossible?
This paper explores how contribution analysis can be used to give a quantitative sense of a contribution's importance.An introduction to applied data analysis with qualitative comparative analysis
This article by Nicolas Legewie provides an introduction to Qualitative Comparative Analysis (QCA). It discusses the method's main principles and advantages, including its concepts.Qualitative impact assessment protocol (QuIP)
This easy-to-read briefing introduces the Qualitative Impact Protocol (QuIP) as a valuable, simple and cost-effective tool for assessing the impact of social investments and development interventions.Outcome 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.Causal map app
This site includes a range of resources on causal mapping and the use of the causal map app including a guide that covers basic and advanced coding and analysis.Joint Committee on Standards for Educational Evaluation (JCSEE) program evaluation standards
This resource from the Joint Committee on Standards for Educational Evaluation provides statements that describe each of the standards developed to support program evaluation.Contribution analysis in policy work: Assessing advocacy’s influence
This brief provides a background on contribution analysis and its applications, as well as walking through five case studies in which the authors have used contribution analysis to assess whether and how advocacy efforts made a difference.Introduction: Contribution, causality, context, and contingency when evaluating inclusive business programmes
This IDS Bulletin discusses approaches and methods for meaningful impact evaluation, building on real-world experiences with theory-based evaluation in inclusive business programmes.What is qualitative comparative analysis (QCA)?
This slide show from Charles C Ragin, provides a detailed explanation, including examples, that clearly demonstrates the question, 'What is QCA?'.Causal 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"Cases in outcome harvesting
This report from The World Bank documents the pilot of a program that examines the use of outcome harvesting and the Bank's results management approach to understand how change happens in complex environments.Assessing rural transformations: Piloting a qualitative impact protocol in Malawi and Ethiopia
This working paper reports on findings from four pilot studies of a protocol for qualitative impact evaluation of NGO-sponsored rural development projects in Malawi and Ethiopia.Broadening the range of designs and methods for impact evaluations
The working paper, written by Elliot Stern, Nicoletta Stame, John Mayne, Kim Forss, Rick Davies and Barbara Befani for the UK Department for International Development (DFID), describes how theory-based, case-based and participatory meThe 'Most Significant Change' technique - A guide to its use
Essential reading for anyone seeking to use the 'Most Significant Change' (MSC) technique.Técnica 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.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。Causal Pathways introductory session: How do I mix and combine methods?
This session of the Causal Pathways Symposium 2023 explores when to use different methods and how to combine them to better understand and visualise causal pathways.