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Filter search resultsPeer review and self-evaluation
This toolkit from the Australian National University (ANU) provides a range of resources that demonstrate the use of both peer review and self evaluation in order to develop reflective practice in tResourcePeer-assessment
Peer assessment can provide additional benefits beyond self-assessment – in particular, the opportunity for peer learning through the review process.MethodComplexity Evaluation framework: recognising complexity & key considerations for complexity-appropriate evaluation in the department for environment, food and rural affairs (DEFRA)
The primary purpose of this framework is to equip Defra commissioners of evaluation (which may include analysts and policymakers), with a checklist of core considerations to ensure that evaluations are robust and sufficiently consider the iResourceMachine 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