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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 samplingRecursoTheory of change thinking in practice - A stepwise approach
This guide builds on work of HIVOS' experimentation with and learning about Theory of Change (ToC), including the work of its Theory of Change Learning Group (established 2010).RecursoThe hidden life of theories of change
One common criticism of Theory of Change is that it is often used as a framework that fixes agreements rather than as a living, guiding tool that helps reflection and adaptation.RecursoAdapting 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.BlogComo elaborar modelo lógico:roteiro para formular programas e organizar avaliação
Este documento apresenta uma descrição do modelo logico, sua aplicabilidade, e como desenvolver um modelo logico com a finalidade de aperfeiçoar programas e projetos.RecursoSampling 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.RecursoSampling 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.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