Definition of Stratified Sampling
Stratified sampling is a method of probability sampling such that sub-populations within an overall population are identified and included in the sample selected in a balanced way.
Examples of Stratified Sampling in the following topics:
- As long as the starting point is randomized, systematic sampling is a type of probability sampling.
- Stratified Sampling Where the population embraces many distinct categories, the frame can be organized by these categories into separate "strata."
- Stratified sampling can increase the cost and complicate the research design.
- Quota Sampling In quota sampling, the population is first segmented into mutually exclusive subgroups, just as in stratified sampling.
- Accidental Sampling Accidental sampling (or grab, convenience, or opportunity sampling) is a type of non-probability sampling which involves the sample being drawn from that part of the population which is close to hand.
- Sampling is concerned with choosing a subset of individuals from a statistical population to estimate characteristics of a whole population.
- Stratified sampling is a method of probability sampling such that sub-populations within an overall population are identified and included in the sample.