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Filter search resultsTool kit on gender equality results and indicators
This tool kit, written by Juliet Hunt for the Asian Development Bank (ADB) and AusAID, aims to provide development practitioners with the knowledge and tools necessary to ensure gender perspectives are considered when developing internResourceSampling - Yale University
This course paper defines three different simplified sampling options.Contents Simple random sampling Stratified random sampling Multistage random samplingResourceMy “home-made” evaluation tools to avoid gender (and equity) blindness by Sara Vaca
In this AEA365 'Rad Resource' blog post, Sara Vaca discusses the importance and challenges of introducing a Gender perspective into evaluations - even when this is not included in the evaluation ToRs.ResourceHow to manage gender-responsive evaluation
This handbook, produced by the Independent Evaluation Office for UN Women, is aimed at supporting those who are implementing gender-respoResourceAdapting 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.BlogLearning from exemplars of evaluation
Are there particular examples of evaluations that you return to think about often?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.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