Difference between revisions of "Multi-stage (Cluster) Sampling"

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#REDIRECT[[Clustered Sampling and Treatment Assignment]]
Most impact evaluations rely on a multi-stage sampling design. This is when the unit of treatment assignment differs from the unit of survey respondent. For example, for an intervention assigned at the village level (treatment villages receive an intervention, control villages do not), the first stage of the sample would be village-level, and the second stage would be household-level (to select survey respondents).
 
 
 
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== Read First ==
 
* include here key points you want to make sure all readers understand
 
 
 
 
 
== Guidelines ==
 
 
 
===Subsection 1===
 
===Subsection 2===
 
===Subsection 3===
 
 
 
== Back to Parent ==
 
This article is part of the topic [[Sampling & Power Calculations]]
 
 
 
 
 
== Additional Resources ==
 
* http://betterevaluation.org/en/evaluation-options/multistage
 
*DIME Analytics' presentations on randomization [https://github.com/worldbank/DIME-Resources/blob/master/stata1-5-randomization.pdf 1] and [https://github.com/worldbank/DIME-Resources/blob/master/stata2-5-randomization.pdf 2], the latter of which covers multi-stage cluster sampling
 
 
 
[[Category: Sampling & Power Calculations ]]
 

Latest revision as of 02:00, 13 April 2021