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Filter search resultsAustralian Government performance story report
This is an example of collaborative outcomes reporting (COR) used for a natural resource management program in South Australia.Resource52 weeks of BetterEvaluation: Week 37: Collaborative Outcomes Reporting
Collaborative Outcomes Reporting (COR) is an approach to impact evaluation that combines elements of several rigorous non-experimental methods and strategies.BlogAdapting evaluation in the time of COVID-19 - Part 1: Manage
Organisations around the world are quickly having to adapt their programme and project activities to respond to the COVID-19 pandemic and its consequences. We’re starting a new blog series to help support these efforts.BlogAdapting evaluation in the time of COVID-19 — Part 3: Frame
Evaluation needs to respond to the changes brought about by the Covid-19 pandemic. As well as direct implications for the logistics of collecting data and managing evaluation processes, the pandemic has led to rapid changesBlogAdapting evaluation in the time of COVID-19 – Part 4: Describe
We’re continuing our series, sharing ideas and resources on ways of ensuring that evaluation adequately responds to the new challenges during the pandemic.BlogAdapting evaluation in the time of COVID-19 — Part 2: Define
The Covid-19 pandemic has led to rapid changes in the activities and goals of many organisations, whether these relate to addressing direct health impacts, the consequential economic and social impacts or to the need to change the way thingBlogCollaborative outcome reporting technique (CORT)
This resource is a concise overview of the method developed by Dr Jess Dart, known as the Collaborative Outcome Reporting Technique (CORT). The method is characterised by two elements:ResourceMachine learning and meta-ethnography: Seven steps to synthesising 578 evaluations into four themes
This paper documents a case study using machine learning and meta-ethnography techniques to synthesise and draw lessons from 578 evaluations. This paper is part of the BetterEvaluation Innovation Working Paper series.ResourceMachine learning in evaluative synthesis: Lessons from private sector evaluation in the World Bank Group
An exploration of the potential to use machine learning techniques to enhance the efficiency of analyzing, classifying, and synthesizing extensive amounts of text in evaluation research.ResourceAdvanced content analysis: Can artificial intelligence accelerate theory-driven complex program evaluation?
This paper presents the methodology and results of an assessment of the applicability and utility of artificial intelligence for advanced theory-based content analysis.ResourceLeveraging imagery data in evaluations: Applications of remote-sensing and streetscape imagery analysis
This paper discusses using imagery data in evaluations and the advantages and limitations of relevant methodologies.Resource