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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 samplingRecursoAdapting 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.BlogRegression discontinuity
Regression Discontinuity Design (RDD) is a quasi-experimental evaluation option that measures the impact of an intervention, or treatment, by applying a treatment assignment mechanism based on a continuous eligibility index which is a variaMétodoSampling for surveys: Stratified random sampling
These instructional videos provide a guide and examples of how to apply stratified random sampling.RecursoSampling for surveys: Clustered random sampling
These instructional videos provide a guide and examples of how to apply clustered random sampling.RecursoSampling for surveys: Sample size calculations
This instructional video explains how to calculate a sample size for a survey.RecursoQuasi-experimental methods for impact evaluations
This video lecture, given by Dr Jyotsna Puri for the Asian Development Bank (ADB) and the International Initiative for Impact Evaluation (3ie), demonstrates how the use of quasi-experimental methods can circumvent the challenge of creatingRecursoSampling 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.RecursoQuasi-experimental design and methods
This guide, written by Howard White and Shagun Sabarwal for UNICEF looks at the use of quasi-experimental design and methods in impact evaluation.RecursoUNICEF webinar: Quasi-experimental design and methods
What is the main difference between quasi-experiments and RCTs? How can I measure impact when establishing a control group is not an option?Recurso6: Sample size and power calculations
This presentation explores methods for identifying the right sample size for randomized evaluations so that results are defendable.Recurso