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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 samplingResourceHow to make toast - An exercise in group model building
This 9 minute TED Talk outlines the process and benefits of group model building exercises, using the example of 'making toast'.ResourceAdapting 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.BlogBetterEvaluation FAQ: How can you get stakeholders to articulate how they think a program or project works?
In our last newsletter we drew attention to our method page onBlogWhat are some methods and processes to help stakeholders articulate how they think a program works? (AES17 co-creation challenge #1)
The material from BetterEvaluation comes from a combination of curating existing material and co-creating new material. This blog is part of an ongoing series about material that we have co-created with BetterEvaluation users.BlogGuidance on M&E for civil society programs
This guide from the Australian Department of Foreign Affairs and Trade (DFAT, formerly AusAID) is aimed at program managers who have responsibility forResourceSampling 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.ResourceSampling 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