Research Sampling

Sampling Methods – Types, Examples

Sampling Methods

Sampling Methods

Sampling methods are used to collect data from a large population and make inferences about that population.

There are a variety of ways to collect data for research. The most common method is to ask people questions, either through surveys or interviews. But sometimes, researchers want to observe people in their natural environment or study objects that already exist. When this is the case, they use sampling.

Types of Sampling Methods

There are two Sampling Methods for conducting of Research:

  • Probability sampling Method
  • Non-probability sampling methods

Probability sampling Method

Probability sampling is a method of selecting a sample from a population in which each member of the population has an equal chance of being chosen. This type of sampling is used when researchers want to ensure that their sample is representative of the entire population.

Probability sampling Methods are follows:

  • Simple random sampling Method
  • Systematic sampling Method
  • Stratified sampling Method
  • Cluster sampling Method

Non-probability Sampling Method

Non-probability sampling is a method of selecting a sample from a population where the researcher does not have complete knowledge of the population. This type of sampling is often used in market research and opinion polls.

Non-probability Sampling Methods are follows:

  • Convenience sampling Method
  • Voluntary response sampling Method
  • Purposive sampling Method
  • Snowball sampling Method

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Muhammad Hassan

I am Muhammad Hassan, a Researcher, Academic Writer, Web Developer, and Android App Developer. I have worked in various industries and have gained a wealth of knowledge and experience. In my spare time, I enjoy writing blog posts and articles on a variety of Academic topics. I also like to stay up-to-date with the latest trends in the IT industry to share my knowledge with others through my writing.