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Filter search resultsSampling - Yale University
This course paper defines three different simplified sampling options.Contents Simple random sampling Stratified random sampling Multistage random samplingResourceEvaluating networks - some resources and some software
BetterEvaluation is on the ground at the European Evaluation Society 10th Biannual conference in Helsinki this week.BlogNetwork evaluation
A network evaluation may consider a range of questions and adopt a variety of options for undertaking the evaluation depending on factors such as the type, size, stage of development and purpose of the network.ThemeAdapting 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.BlogLearning from practice: Inception reports and social learning - do you have examples or advice to share?
The wonderful thing about BetterEvaluation is that it is, at its core, a platform to co-create and share knowledge about how to better conduct, use and manage evaluations.BlogSampling for surveys: Stratified random sampling
These instructional videos provide a guide and examples of how to apply stratified random sampling.ResourceSampling for surveys: Clustered random sampling
These instructional videos provide a guide and examples of how to apply clustered random sampling.ResourceSampling for surveys: Sample size calculations
This instructional video explains how to calculate a sample size for a survey.Resource52 weeks of BetterEvaluation: Week 8: Using social network analysis for M&E
Most of the work done in development is done in collaboration, in partnership with individuals or organizations who contribute to a particular task or project we are working on.BlogSampling 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.Resource6: Sample size and power calculations
This presentation explores methods for identifying the right sample size for randomized evaluations so that results are defendable.Resource