Question

What is the basic assumption of the purposive sampling?
${\text{A}}$. The sample is carried out in a series of stages.
${\text{B}}$. The interviewer should have a good sense of judgement and appropriate strategy to exercise it.
${\text{C}}$. The stratum should be fairly large.
${\text{D}}$. All the above.

Answer 1

Hint: From the question, we have to choose the correct option which one is the basic assumption of the purposive sampling. First, we have to know about some purposive sampling briefly. Then, we go to choose the correct one for the basic assumption of the purposive sampling.
Researchers use purposive sampling when they want to access a particular subset of people, as all participants of a study are selected because they fit a particular profile.

Complete step-by-step solution:
Purposing sampling, also known as judgemental, selective, or subjective sampling, is a form of non-probability sampling in which researchers rely on their own judgement when choosing members of the population to participate in their study.
The method for performing sampling is fairly straightforward. Al l a researcher must so is reject the individuals who do not fit a particular profile when creating the sample.
Purposive sampling is a popular method used by researchers due to the fact that it is extremely time and cost effective when compared to other sampling methods.
Therefore, a purposive sampling is a non-probability sample that is selected based on the characteristics of a population and the objective of the study. It is also known as judgemental, selective, or subjective sampling.
From the above statement, here we conclude that the basic assumption of the purposive sampling is the interviewer should have a good sense of judgement and appropriate strategy to exercise it

$\therefore $ The correct answer is option ${\text{B}}$

Note: The answer of the solution is option B interviewer should have a good sense of judgement and appropriate strategy to exercise it. This is the definition of other two options. We have to know that,
In statistics, multistage sampling is the taking of samples in stages using smaller and smaller sampling units at each stage. Multistage sampling can be a complex form of cluster sampling because it it’s a type of sampling which divides the population into groups (or clusters). Then, one or more clusters are chosen at random and everyone within the chosen cluster is sampled.
Stratified random sampling is a method of sampling that involves the division of a population into smaller sub-groups known as strata. In stratified random sampling, or stratification, the strata are formed based on members shared attributes or characteristics such as income or educational attainment. Stratified random sampling is also called proportional random sampling or quota random sampling.