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Q: Splitting a population into groups with similar characteristics before sampling is called?
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A population is divided into non-overlapping similar groups from which to be sampled what type of sampling method is this?

Stratified Random Sampling. Google it. .


If it has similar characteristics as the population the sample is termed?

It is called a representative sample.


What is consecutive sampling?

Consecutive sampling is very similar to convenience sampling except that it seeks to include ALL accessible subjects as part of the sample. This non-probability sampling technique can be considered as the best of all non-probability samples because it includes all subjects that are available that makes the sample a better representation of the entire population.


When do you need non-probability sampling?

There are at least two situations. Consider the situation where the population consists of a number of sub-populations (strata) such that units within a sub-population are similar to one another but there are much larger differences between units from different sub-populations. In order to ensure that the sample is representative, it may be sensible to use stratified random sampling. The sampling proportion may be a constant proportion or may even be such that the variance in each stratum is similar. The situation may also arise if the population is widely scattered geographically. Rather than expend time and money travelling all over the place, you could employ cluster sampling. Select a number of clusters of the population and then, within each cluster, carry out a census.


Which sampliing method subdivides the population into categories sharing similar characteristics and then selects a sample from each subdivision?

Stratified