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Filter search resultsUsing Mobile Data for Development
This guide, written by Ed Naef, Philipp Muelbert, Syed Raza, Raquel Frederick, Jake Kendall and Nirant Gupta for Cartesian and theRecursoSampling - Yale University
This course paper defines three different simplified sampling options.Contents Simple random sampling Stratified random sampling Multistage random samplingRecursoTechnology for Evaluation in Fragile and Conflict Affected States: An Introduction for the Digital Immigrant Evaluator
This paper aims to help evaluators working in fragile and conflict affected states (FCAS) to determine which technology may be useful in various phases of an evaluation.RecursoPoimapper
Poimapper mobile data collection solution is designed for monitoring the status and progress of field work in any specific area.RecursoDiscussion 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.RecursoBig data for development: challenges & opportunities
This white paper by UN Global Pulse examines the use of Big Data in development contexts.RecursoAdapting 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.BlogSampling for surveys: Stratified random sampling
These instructional videos provide a guide and examples of how to apply stratified random sampling.RecursoSampling for surveys: Clustered random sampling
These instructional videos provide a guide and examples of how to apply clustered random sampling.RecursoSampling for surveys: Sample size calculations
This instructional video explains how to calculate a sample size for a survey.RecursoSampling for surveys: Simple random sampling
These instructional videos introduce the topic of sampling for surveys and provide a guide and examples of how to apply simple random sampling.Recurso6: Sample size and power calculations
This presentation explores methods for identifying the right sample size for randomized evaluations so that results are defendable.Recurso