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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 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.BlogWeek 29: Evaluation design and unintended consequences or, from firefighting to systematic action
This week’s blog is from Jonny Morell, editor of Evaluation and Program Planning and author ofBlogCatholic relief services'; (CRS) Guidance for developing logical and results frameworks
This document was primarily written to provide guidance for conceptualizing, writing, selecting and measuring project performance indicators.ResourceNegative programme theory
Most programme theories, logic models and theories of change show how an intervention is expected to contribute to positive impacts; Negative programme theory, a technique developed by Carol Weiss, shows how it might produce negative impactMethodSampling 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