The quota sampling produces the same advantages for convenience sampling that stratified random sampling produces for probability sampling.
Sampling:
Sampling is defined as the process in statistical analysis where researchers take a predetermined number of observations from a larger population.
Given,
Here we need to find the type of sampling that produces the same advantages for convenience sampling quota sampling.
Before, move on to the result, first we have to know the details about quota sampling and the probability sampling.
Probability sampling defined as the selection of a sample from a determined number of population, when this selection is based on the principle of randomization, that is, random selection or chance.
In contrast to probability sampling, Quota sampling means a non-probability sampling method in which researchers create a sample involving individuals that represent a population.
Based on these definition we have identified that the method that is best suitable answer for this one is stratified random sampling.
Because the stratified random sampling means, is a probability sampling technique in which the total population is divided into homogenous groups to complete the sampling process.
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