Sampling is the method of gathering and dividing the population. It falls into the data collection process. It is the most essential factor that determines the authenticity and accuracy of your research outcome. There are various ways to collect samples based on the situation and need. There are two prime ways of gathering samples for the population.
Probability sampling methods
Non-probability sampling methods
These two methods are then divided into different sub-sections, such as -
Random sampling
Systematic sampling
Stratified sampling
Clustered sampling
Non-probability sampling method
Convenience sampling
Quota sampling
Judgement sampling
Snowball sampling
All these methods are discussed in brief below.
Probability Sampling Method
It means every member of the population has an equal chance of selection. For producing results that represent the whole population you have to use the probability sampling method.
- Simple random sampling
In this method, each sample possesses an equal likelihood of selection that is at least once in a while.
- Systematic Sampling
- Stratified Sampling
characteristics.
- Cluster Sampling
Non-probability Sampling
In non-probability sampling, individuals are picked based on non-random criteria, and every individual will not get the chance of being selected.- Convenience Sampling
- Quota Sampling
Market researchers use quota sampling to conduct their research.
- Judgement Sampling
It is also known as selective sampling, it depends on the judgement of the researcher when
and who to choose for the research.
- Snowball Sampling
It is commonly used in the branch of social science when researching to reach groups or individuals.
No comments:
Post a Comment