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Filter search resultsApproaches to working with framework matrices (NVivo 10)
This NVivo 10 help file walks readers through the process of creating and using framework matrices in NVivo for the analysis of qualitative data.ResourceThe art of coding with NVivo
During this virtual workshop, Dr. Penna presented how NVivo, qualitative data analysis software is used to code data, document the data analysis process, and present a visual presentation of the results to increase credibility.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