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Filter search resultsContribution analysis for adaptive management
This briefing note shares guidance on using contribution analysis for adaptative management by examining how the approach enables programmes to work with theories of change in a practical, reflexive way and how its findings can inform progrResourceIntroduction: 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.Resource6: Sample size and power calculations
This presentation explores methods for identifying the right sample size for randomized evaluations so that results are defendable.ResourceFeedback mechanisms in international assistance organizations
This CDA Collaborative Learning Projects paper outlines research conducted with international development organisations on the use of recipient/primary stakeholder feedback in humanitarian aid projects and programs.ResourceFeedback workshop checklist
This checklist from the Evaluation Checklists Project supports the planning, conducting, and following up of feedback workshops when used as evaluation tools.ResourceStakeholder mapping workshop
This workshop, from the United Nations Environment Programme (UNEP), aimed at locally elected officials involved in environmental governance allows participants to gain knowledge and experience of mapping to identify stakeholders.ResourceWhere we go from here: The mental sketch mapping method and its analytic components
This paper discusses the mental mapping method, which helps us understand how people think about and interact with space. Authors Jack Jen Gieseking.ResourceCase 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.ResourceCase study: QuIP & RCT to evaluate a cash transfer and gender training programme in Malawi
This case study discusses the combination of the Qualitative Impact Assessment Protocol (QuIP) and Randomised Control Trial (RCT) approaches in the evaluation of Concern Worldwide's "Graduation" programme.ResourceFrom 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.ResourceQuIP used as part of an evaluation of the impact of the UK Government Tampon Tax Fund (TTF)
The evaluation of the UK Government's Tampon Tax Fund (TTF), established in 2015, incorporated Qualitative Impact Assessment Protocol (QuIP) techniques to capture grantees' perspectives.ResourceComparing QuIP with thirty other approaches to impact evaluation
This resource outlines how the Qualitative Impact Protocol (QuIP) compares to 30 other impact evaluation approaches.ResourceBath social & developmental research ltd. (BSDR) website
BSDR is a non-profit research organisation set up by the authors of the QuIP - a small team of researchers from the Centre for Development Studies (CDS) at the University of Bath - with the ambition to bring more research into practice.ResourceQuIP: 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.ResourceQualitative 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.ResourceQuIP and the Yin/Yang of Quant and Qual: How to navigate QuIP visualisations
This discussion paper reviews how quantitative and qualitative processes are utilised in analysis and presentation of dataResourceMultiple lines and levels of evidence
Multiple lines and levels of evidence (MLLE) is a systematic approach to causal inference that involves bringing together different types of evidence (lines of evidence) and considering the strength of the evidence in terms of different indMethodJournals and logs
Journals and logs are forms of record-keeping tools that can be used to capture information about activities, results, conditions, or personal perspectives on how change occurred over a period of time.Method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。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.ResourceThe 'Most Significant Change' technique - A guide to its use
Essential reading for anyone seeking to use the 'Most Significant Change' (MSC) technique.ResourceMost significant change: Learning to learn
This webpage from the South Australian Government's Learning to Learn (L2L) program offers an overview of the study and practice of the Most Significant Change (MSC) approach.ResourceThe most significant change technique
This paper from the Asian Development Bank (ADB) outlines the process for using Most Significant Change in evaluation. It provides a step by step process that can be followed to ensure its effective implementation.ResourceA guide to assessing needs
This book, written by Ryan Watkins, Maurya West Meiers and Yusra Laila Visser for The World Bank, provides detailed guidance on needs assessment during the early stages of project development.ResourceA critical review of applications in QCA and fuzzy-set analysis and a ‘toolbox’ of proven solutions to frequently encountered problems
This paper from Patrick A. Mello focuses on reviewing current applications for use in Qualitative Comparative Analysis (QCA) in order to take stock of what is available and highlight best practice in this area.ResourceSet-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, foResourceUsing qualitative comparative analysis to explore causal links for scaling up investments in renewable energy
This paper illustrates how qualitative comparative analysis (QCA) was used to identify causal pathways for scaling renewable energy to meet sustainable development and climate goals.ResourceAn 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.ResourceCompasss: Comparative methods for systematic cross-case analysis
COMPASSS (Comparative methods for systematic cross-case analysis) is a website that has been designed to develop the use of systematic comparative case analysis as a research strategy by bringing together scholars and practitioners who sharResourceWhat 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?'.ResourceStorytelling
This paper from the Asian Development Bank (ADB) focuses on the use of storytelling as a way of effectively communicating both emotional and factual content to contextualise the ideas or experiences being shared.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 producResource