Data stratification is the separation of data into smaller, more defined strata based on a predetermined set of criteria. A simpler way to view data …

Stratification is defined as the act of sorting data, people, and objects into distinct groups or layers. It is a technique used in combination with other data analysis tools. When data from a variety of sources or categories have been lumped together, the meaning of the data can be difficult to see. This data collection and analysis technique ...

24/09/2021 · Stratified sampling is a selection method where the researcher splits the population of interest into homogeneous subgroups or strata before choosing the research sample. This method often comes to play when you're dealing with a large population, and it's impossible to collect data from every member.

STRATIFICATION OF DATA. In public health, "stratification" is defined as the process of partitioning data into distinct or nonoverlapping groups.These distinct groups can represent, among other things, treatment regimens, geographical regions, or study centers. Although this definition is seemingly straightforward, stratification is a term that can be used to characterize …

Data stratification is a tool that we can use to organize the data for analysis. The time to think about data stratification is before the data is collected, not after. We must make sure that the data are collected in such a fashion that they are useful for analysis. Data are typically stratified in four different ways.