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Filter search resultsData collection & analysis video
This video guide from UNICEF looks at the issues involved in choosing and using data collection and analysis methods for impact evaluations.ResourceWebinar recording: When the ‘field’ is online – qualitative data collection
This NVIVO webinar explores ways that researchers can adapt their research approach using online data collection when face to face fieldwork isn’t possible.ResourceCollecting data on sensitive issues
Image: Polling Booths, by PetroleumJelliffe on FlickrBlogBig data for development: challenges & opportunities
This white paper by UN Global Pulse examines the use of Big Data in development contexts.ResourceL’évaluation en contexte de développement
Ce manuel est destiné aux personnes souhaitant s’initier à l’évaluation de programmes, en particulier en contexte de développement et de coopération internationale. À cet égard, tout en déroulant le fil d’une démarche évaluative classique, il présente…ResourceBest of AEA365: Approaching document review in a systematic way
In this blog post, Linda Cabral discusses document reviews and highlights the importance of conducting them systematically.ResourceDevelopmental evaluation
This webpage from Tamarack Community provides links to audio files of an interview between Mark Cabaj and Michael Patton in which they discuss the topic of development evaluation.ResourceDevelopmental evaluation: Applying complexity concepts to enhance innovation & use
In this book, Michael Quinn Patton describes the process of conducting developmental evaluations for ongoing program development.ResourceData collection methods for evaluation: Document review
This resource from the Centers for Disease Control and Prevention (CDC) provides a brief guide to using document review as a data collection method for evaluation.ResourceUNICEF webinar: Overview of data collection and analysis methods in Impact Evaluation
What is the value of using mixed methods in impact evaluation? What methods and designs are appropriate for answering descriptive, causal and evaluative questions?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