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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 samplingResourceEnhancing evaluation use: Insights from internal evaluation units
This book, co-edited by Marlène Läubli Loud and John Mayne, offers invaluable insights from real evaluators who share strategies they have adopted through their own experiences in evaluation.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.BlogEvaluative thinking
This set of webpages and video from the Department of Education in New South Wales, Australia, provides background information on evaluative thinking and its use.ResourceThe core of evaluation: Evaluative thinking
This AEA365 blog by Tom Grayson provides a list of quotes from notable evaluation colleagues about the importance of evaluative thinking.ResourceEvaluative thinking: SAMEA webinar
In this webinar on evaluative thinking, Thomas Schwandt explores two perspectives on the topic.ResourceThe 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: 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