Sampling Methods

It is the entire set of items from which you draw data from for a statistical study

Population

A group of interests from the population which serves as a subset or good representation of the whole population

Sample

Also know as random sampling or representative sampling where it needs large population to be precisely defined.

Probability Sampling

Also called as judgement or non-random sampling where it does not have an equal chance or participation + it can be used for too general and specific populations

Non-Probability Sampling

Each and every element of the population has an equal chance of being selected in the sample

Simple Random Sampling

Every element of the population has no equal chance of being selected because it is selected through a specific “Interval”

Systematic Sampling

Uses homogeneous groups called “strata” to represent the whole population using a small sample

Stratified Sampling

Uses small groups called a “cluster”

Cluster Sampling

It is a combination of multiple probability sampling techniques and is usually used when it is not possible to get a sample with only one technique

Multi-Stage Sampling

Samples are selected by the researchers because it is more “convenient and reachable”

Convenience Sampling

It helps in dividing the population into strata or groups

Quota Sampling

This is where researchers choose whom they deem worthy of being a sample

Judgemental or Purposive Sampling

It helps researchers find samples when they are hard to locate. They find suitable subjects and ask help from them to get more similar subjects

Snowball Sampling