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Filter search resultsAustralian Government performance story report
This is an example of collaborative outcomes reporting (COR) used for a natural resource management program in South Australia.ResourceSampling - Yale University
This course paper defines three different simplified sampling options.Contents Simple random sampling Stratified random sampling Multistage random samplingResourceOPM's approach to assessing value for money
A clear and well-informed guide to evaluating value for money which addresses important issues including the limitations of using indicators epsecially for complex interventions, and the need to address unintended impacts and complicated caResource52 weeks of BetterEvaluation: Week 37: Collaborative Outcomes Reporting
Collaborative Outcomes Reporting (COR) is an approach to impact evaluation that combines elements of several rigorous non-experimental methods and strategies.BlogAdapting 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.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.ResourceCollaborative outcome reporting technique (CORT)
This resource is a concise overview of the method developed by Dr Jess Dart, known as the Collaborative Outcome Reporting Technique (CORT). The method is characterised by two elements: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