Sampling Techniques

Every member of the population has an equal chance of being selected.

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

Individuals are chosen at regular intervals.

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

Use tools like random number generators or other techniques that are based entirely on chance.

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

This is the most basic type of sampling techniques.

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

It involves dividing the population into subpopulations.

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

It uses random or systematic sampling to select a sample from each subgroup.

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

Instead of sampling individuals from each subgroup, you randomly select entire subgroups.

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

It also involves dividing the population into subgroups, but each subgroup should have similar characteristics to the whole sample.

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

You just need to select from a random starting point but with a fixed, periodic sampling interval.

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling

A researcher interviewed all top 10 Grade 11 students in each of 10 randomly selected private schools in Iligan City.

• Simple Random Sampling

• Systematic Sampling

• Stratified Sampling

• Cluster Sampling