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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 samplingResourceFishbone diagram (cause and effect diagram)
This short guide describes the process of using a fishbone diagram to help uncover and visualise stakeholder perceptions of the root causes of a problem. It is often used in conjunction with the 'Five Whys' technique.ResourceThe Five Whys Technique
This paper from the Asian Development Bank (ADB) outlines the process of using the Five Whys technique as an effective approach to problem solving.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.BlogParticipation not for you? Four reflections that might just change your mind
This month we start a series on participation in evaluation by Leslie Groves and Irene Guijt. This blog series aims to explore one simple question: How can we best open up evaluation processes to include those intended to benefit from a specificBlogFive Whys
The Five Whys is an easy question asking option that examines the cause-and-effect relationships that underly problems.MethodSampling 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