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Filter search resultsDiscussion Paper: Innovations in Monitoring and Evaluation
This discussion paper produced by the United Nations Development Programme discusses various innovations that are occurring in M&E, and the advantages and disadvantages of these methods.RecursoWeek 8: Guest blog: Innovation in development evaluation
Development aid is changing rapidly – so must development evaluation.BlogPractical considerations for leading and working on a mixed methods project
This toolkit from Realities aims to support staff who lead or work on mixed options research projects to prepare for, design and carry out their projects.RecursoPhotolanguage
Produced by the Change Agency, this resource gives a brief overview of the history, use and application of the photolanguage technique.RecursoIntroduction to mixed methods in impact evaluation
This guide, written by Michael Bamberger for InterAction outlines the elements of a mixed methods approach with particular reference to how it can be used in an impact evaluation.RecursoMachine 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.RecursoMachine 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.RecursoAdvanced 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.RecursoLeveraging 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.Recurso