Sampling Methods

Sampling Methods

1. Quota

   • Quota sampling refers to a non-probability sampling technique, where the subjects have the same characteristics as the entire population
     • Ex: 50 females are asked to participate

2. Random

   • Random sample happens when each member of the population has the same probability of being chosen.
     • Ex: 30 employees are chosen from a container with the names of the 400 employees

3. Stratified

   • Stratified sampling divides the population into smaller groups known as strata, which have members that share attributes.
     • Ex: 300 students are being selected to do a antidoping, these students are separated by birthday month and a student per month is selected.

4. Cluster

   • Cluster sampling divides the population into smaller groups known as clusters, then one cluster is chosen randomly.
     • Ex: 400 employees are divided into 8 groups, and then the 4th cluster is chosen from a container with all the groups.

5. Snowballing

   • Snowball sampling choses participants and these chose more participants. It is used where potential participants are hard to find. It is a non-probability technique.
     • Ex: 5 participants are invited to come to a lab and asked to bring 10 friends next time they come.

6. Convenience

   • Convenience sampling selects participants based on proximity and accessibility to the researcher. It is a non-probability technique.
     • Ex: Asking students to volunteer for the experiment

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