What are the Advantages and Disadvantages of Sampling in Research Methodology
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What are the Advantages and Disadvantages of Sampling in Research Methodology
Sampling method is selecting a group of people from a population to gather information on a particular topic or product. It is gathering maximum information of a population without surveying every member from it. Sampling method will help in acquiring reliable information while making it convenient.
Sampling method is used mainly when it is impossible to surveying the whole population. The sample must be the representation of the population the researcher has gathered information from. Sampling will help the researcher get significant research result. Sampling method produces results relatively faster and is less expensive.
Advantages of Sampling
The advantages of sampling in research methodology are:
Saves time:
It is a difficult task to contact each person in a population. Sampling method will help in surveying only few members of the population. This will make the work of researchers lot faster and save a lot of time.
Save money:
Sampling method is budget friendly. The cost of gathering people and collecting data will cost lower. Hence, it is cost-efficient.
Reliable and accurate data:
Sampling method will help in collecting richer data than contacting everyone in a population. The researcher will be able to ask more questions by contacting a lesser population. The chances of getting accurate data is higher by sampling method.
Manageable:
Sampling method makes collecting data in large population easier. It will help in surveying a manageable number of the population.
Disadvantages of Sampling
The disadvantages of Sampling are:
Biased Answers:
Sampling method involves biased selection of participants which can lead to errors. This is one of the biggest limitation of sampling method.
Sufficient knowledge about sampling method:
The researcher must have adequate knowledge about using sampling technique. Many mistakes may be committed by the researcher without sufficient knowledge leading to plenty of errors in the study.
Inconceivability of examining:
Getting an accurate data can be troublesome when the population is extremely less or diverse. In such cases, census study is the only other option.
Changeability of Units:
When the population is not uniform, the sampling procedure will be unscientific. Even though number of cases is small it isn’t simple to stick to the chosen cases.
When the units of the population are not in homogeneous, the sampling technique will be unscientific. In sampling, though the number of cases is small, it is not always easy to stick to the, selected cases. The units of sample may be widely dispersed. Due to this not all the cases may not be taken up. The chosen cases may be replaced by different cases.
