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This course paper defines three different simplified sampling options.Contents Simple random sampling Stratified random sampling Multistage random samplingResourceOutcome 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.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.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 an outcome monitoring systemBlogThe 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.BlogThe logical framework approach
This publication is part of a series of guidelines developed by AusAid in relation to activities design.ResourceSampling 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: 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.ResourceSampling for surveys: Sample size calculations
This instructional video explains how to calculate a sample size for a survey.Resource