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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 samplingResourceThe webinar command center: Give better webinars by organizing your physical space
This blog post by Ann K. Emery and Johanna Morariu outlines their strategies for setting up and running a webinar. This resource and the following information was contributed by Alice Macfarlan.ResourceChecklist for straightforward evaluation reports
This checklist by Kelly N. Robertson and Lori Wingate provides suggestions for the content and organization of long-form evaluation reports that are concise, easy to understand, and easy to navigate.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.BlogEditing reports for an audience
Evaluation reporting is important.BlogWriting for utilisation
Evaluators need to communicate better and foster the utilisation of evaluation findings through clear and engaging writing.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.ResourceEvaluation report layout checklist
This checklist from Stephanie Evergreen distills the best practices in graphic design and has been particularly created for use on evaluation reports.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