Sampling Techniques

Random Sampling
Non-Random Sampling

Sampling Techniques

Random Sampling

A process whose members had an equal chance of being selected from the population.

Simple Random Sampling
Systematic Random Sampling
Stratified Random Sampling
Cluster Random Sampling

Random Sampling

Simple Random Sampling

Usually uses the table of random numbers or through lottery.

Example of Simple Random Sampling

Systematic Random Sampling

To draw members or elements, we have to select a random starting point (kth), then draw successive elements from the population.

Example of Systematic Random Sampling

Stratified Random Sampling

Used when the members of the population do not belong to the same category; we are dividing the elements of a population into different categories or groups and then the members of the sample are drawn or selected proportionally from each subpopulation.

Strata

Dividing the elements of a population into different categories or groups

Example of Stratified Random Sampling

Cluster Random Sampling

Sampling wherein groups or clusters instead of individuals are randomly chosen.

Example of Cluster Random Sampling

Non-Random Sampling

Sampling procedure where samples selected in a deliberate manner.

Convenience Sampling
Purposive Sampling
Quota Sampling
Snowball Sampling

Non-Random Sampling

Convenience Sampling

Offers convenience to the researcher.

Example of Convenience Sampling

Purposive Sampling

Selecting based on judgment by the researcher or based on prior information.

Example of Purposive Sampling

Quota Sampling

Applied when an investigator survey collects information from an assigned number.

Example of Quota Sampling

Snowball Sampling

One or more members of a population are located and used to lead the researchers to other members of the population

Example of Snowball Sampling