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… evaluation is feasible and worth the cost Start collecting data early Front-end planning is important Appendices … …ResourceCritical system heuristics
… define any precise process to engage stakeholders, guide data collection, or test causal linkages. Instead, CSH remains one … to engage meaningfully with one another. DESCRIBE Data collection for CSH has, until now, remained qualitative, …ApproachLearning from practice: Inception reports and social learning - do you have examples or advice to share?
… questions and methodology, including information on data sources and collection, sampling and key indicators. The inception report … a timeline for the evaluation project and drafts of data collection instruments. We've included this in the …BlogInforme de Resultados Colaborativos
Un enfoque participativo a la evaluación de impacto basado en una historia de desempeño que presenta evidencias de cómo un programa ha contribuido a resultados e impactos, que es luego revisado tanto por expertos técnicos como por los actores involucrados…ApproachDotmocracy
Dotmocracy is an established facilitation method for collecting and recognizing levels of agreement on written statements among a large number of people.MethodChoices about voices
… (World Vision various) Validation and Analysis Data analysis and validation was conducted with community … of the participants on the process and accuracy of the data. (World Vision various) Dissemination and … the evaluation, defining and framing its focus, collecting data on changes, explaining changes, synthesising findings, …BlogWeek 13: Producing engaging and accessible evaluation reports
… Now we are preparing the the report which has a lot of data and looks very boring. This is qualitative data with lot of quotes. In my experience such reports are … a report which would entice people:-) Would you know any data visualization ideas? I have never done this nor do I …BlogAdapting evaluation in the time of COVID-19 — Part 3: Frame
… as direct implications for the logistics of collecting data and managing evaluation processes, the pandemic has led … the ‘nice to have’ questions are important to collect data on at this present point. This is particularly so if your data collection cannot be done remotely, but even if all of your …BlogC4D Hub: Check the results support causal attribution (strategy 2)
… Checking the consistency of results means analysing data in systematic ways to check the extent to which it … variables. This may involve specific and additional data collection (e.g. key informant attribution) or analysis …Framework/GuideCommunication for Development (C4D)Participant observation
Participant observation is used to identify the attitudes and operation of a community by a researcher living within its environs.Method52 weeks of BetterEvaluation: Week 6: Facilitating evaluation decisions
… what should be the research design and methods for data collection and analysis; how information will be shared; what …BlogMaking adaptive rigour work: Principles and practices for strengthening monitoring, evaluation and learning for adaptive management
… the quality of monitoring, evaluation and learning data and systems. Ensuring appropriate investment in …ResourceNetwork evaluation
… Excel and the UCINET software . With the analysis of the data and maps, the project team was able to develop a …ThemeDetermine and secure resources
… evaluation (the number of questions, size of the sample, data collection and analysis options) or influence the choice of …Framework/GuideRainbow FrameworkSAVE Toolkit: Technologies for monitoring in insecure environments
… Phones For Monitoring And Gathering Feedback Digital Data Entry With Tablets Or Smartphones Remote Sensing And … Sudan and Syria. At the end of each chapter, we offer a collection of resources to learn more. Who is this resource …ResourceC4D: Develop planning documents (evaluation plans and M&E frameworks)
… for the evaluation; the key evaluation questions; and how data will be collected, analysed, synthesised and reported. A … studies, reviews or evaluations to do, with details about data sources, timing, management processes, as well as an …Framework/GuideCommunication for Development (C4D)Can we obtain the required rigour without randomisation? Oxfam GB’s non-experimental Global Performance Framework
… the sector continue to believe that capturing and tracking data on impact/outcome indicators from only the intervention … for instance, are being evaluated by comparing data collected from both intervention and comparison …ResourceC4D: Complexity
… are different in each context. Collect and/or retrieve data : Data methods should be chosen for how well they will show … for informing adaptive implementation of C4D. Analyse data : Simple averages, frequency tables and graphs will not …Framework/GuideCommunication for Development (C4D)52 weeks of BetterEvaluation: Week 19: Using the Rainbow Framework
… and standards to be used Describe : Collect and analyze data to answer descriptive questions about what has happened Understand causes : Collect and analyze data to answer causal questions about what has produced outcomes and impacts Synthesise : Combine data to form an overall assessment of the merit or worth of …BlogWeek 9: Innovation in evaluation part 3: what’s the latest in advocacy evaluation?
… are statistically significant. The survey also collects data on how those organizations have influence, or which … relative to the country as a whole—using secondary data to explore the influence of advocacy campaigns. The … at the task page on combining qualitative and quantitative data. Image: "Tatu Abdi - campaigning for women's land …Blog52 weeks of BetterEvaluation: Week 22: The latest resources and events suggested by users
… technology, and its associated benefits of real-time data sharing and data analysis; thereby enabling organizations, donors and … questions, monitoring plan, evaluation plan, data collection and management, learning and communication …BlogCausal Pathways introductory session: Outcome harvesting for exploring causal pathways
This session of the Causal Pathways Symposium 2023, by Carlisle Levine and Hippolyt Pul, introduces outcome harvesting, a method to collect evidence of what has changed and whether and how an intervention has contributed to these changes.ResourceDescribe the theory of change
… key indicators for monitoring, identify gaps in available data, prioritize additional data collection, and provide a structure for data analysis and …Framework/GuideManager's guide to evaluationPositive deviance
… of PD individuals or groups: through observation and data analysis, the community works towards identifying key …ApproachCommunity of Practice Training for Gender Equality
… training and capacity development for gender equality, the collection and dissemination of good practices and the …GEI Training and Professional DevelopmentDesigning the face-to-face survey
… chapter by W. Lawrence Neuman gives a detailed overview to collection of questionnaire data through a face-to-face survey method. The chapter covers …ResourceROMA: A guide to policy engagement and influence
… and why 45 How to monitor – collecting and managing data 50 Making sense of learning and decision-making 54 …ResourceEvaluability assessment for impact evaluation
… purpose and developing a checklist Determining appropriate data collection methods Being transparent about judgements Being …ResourceOkiko in pursuit of a snail: Child-led evaluation of the building skills for life programme in Kenya
… selected evaluation questions, collected and analysed data in order to deliver an assessment of the programme’s …ResourceSWOT analysis
… 21 ) . It is useful in various evaluation tasks, both as a data collection option to gather and retrieve monitoring …MethodReflections on innovation, assessment and social change processes: A SPARC case study, India
This paper, written by Sheela Patel, provides a case study of the development of the Society for the Promotion of Area Resource Centres (SPARC) in India.ResourceC4D: Critical
… outcomes for minority groups may not be obvious in the data. A critical approach to the identification of unintended … the most vulnerable groups are represented, and that the data is able to be disaggregated. Additional effort might be … or metrics : Indicators should specify the required data disaggregations (often this needs to include age, sex, …Framework/GuideCommunication for Development (C4D)