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This course paper defines three different simplified sampling options.Contents Simple random sampling Stratified random sampling Multistage random samplingResourceAdapting 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.BlogOutcome monitoring in large multi-stakeholder research programmes: Lessons from PRISE
This guest blog by Tiina Pasanen and Kaia Ambrose discusses how the Pathways to Resilience in Semi-arid Economies (PRISE) project approached the challenge of coming up with&nbsBlogThe balancing act of research impact
Over recent decades, governments everywhere have increased their scrutiny of public spending, and public universities have not escaped this scrutiny.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.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.ResourceOutcome monitoring and learning in large multi-stakeholder research programmes: lessons from the PRISE consortium
This discussion paper outlines the key lessons to emerge from designing and applying an outcome monitoring system to the Pathways to Resilience in Semi-arid Economies (PRISE) project.Resource