Outcome-dependent sampling designs are strategic methodologies in longitudinal research that prioritise the selection of study subjects based on observed outcomes. Rather than relying on random ...

In this paper we consider a family of sampling designs for which increasing first-order inclusion probabilities imply, in a specific sense, increasing conditional inclusion probabilities. It is proved ...

In some applications it is cost efficient to sample data in two or more stages. In the first stage a simple random sample is drawn and then stratified according to some easily measured attribute. In ...

The specific monitoring design (the choice of location and timing of sample collection) that best meets project objectives will depend on the type and scale of the project and the degree to which ...

Whenever you design a sample for a CX project, you lay an indispensable foundation for creating reliable and functional insights for your organization. For too many, improving customer experience ...

The PROC SURVEYSELECT statement invokes the procedure and optionally identifies input and output data sets. If you do not name a DATA= input data set, the procedure selects the sample from the most ...

There was controversy recently over how sound data collection procedures in India are, especially when it comes to some of the important national level surveys. An article (by Shamika Ravi, Member of ...