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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 samplingResourceMeasuring what matters (a thinking tool)
Measuring what matters is a decision-support tool. It helps users select data collection methods based on:ResourceDecision making matrix - Word template
A decision making matrix can be useful to summarise decision makers and types of decisions in a matrix which can be referred to when developing and implementing evaluation processes.ResourceAdapting evaluation in the time of COVID-19 — Part 3: Frame
Evaluation needs to respond to the changes brought about by the Covid-19 pandemic. As well as direct implications for the logistics of collecting data and managing evaluation processes, the pandemic has led to rapid changesBlogAdapting 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.BlogFormal meeting processes
Studies have demonstrated that attendance at meetings and conferences, planning discussions within the project related to use of the program evaluation, and participation in data collection foster feelings of evaluation involvement among stMethodSampling 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