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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 samplingالمواردCollaboration mapping
This tool, developed by USAID/Rwanda and shared as part of USAID's Collaboration, Learning and Adapting (CLA) Toolkit, is one way of graphically depicting relationships between key stakeholders.المواردIntroduction to collaborating, learning and adapting (CLA) in the program cycle
This free, one-hour online course by USAID gives an introduction to the Collaboration, Learning, Adapting (CLA) approach.المواردUSAID collaborating, learning and adapting in action case competition library
USAID's annual Collaborating, Learning and Adapting (CLA) Case Competition captures case studies of USAID staff and implementing partners using a CLA approach for organizational learning and better development outcomes.المواردSynchronizing monitoring with the pace of change in complexity
This discussion note from USAID argues for synchronizing monitoring with the pace of change as a key principle underlying complexity-aware monitoring.المواردAdapting 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.المدونةSampling for surveys: Stratified random sampling
These instructional videos provide a guide and examples of how to apply stratified random sampling.المواردSampling for surveys: Clustered random sampling
These instructional videos provide a guide and examples of how to apply clustered random sampling.المواردSampling for surveys: Sample size calculations
This instructional video explains how to calculate a sample size for a survey.المواردSampling 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.الموارد6: Sample size and power calculations
This presentation explores methods for identifying the right sample size for randomized evaluations so that results are defendable.الموارد