PRACTICAL RESEARCH 1 11: Population, Sample Size, & Sampling Techniques

Population

It is a large collection of individuals that have a common characteristic/trait and are the main focus of a scientific query.

Sample Size

The subset of the population being studied.

Probability Sampling

It is a type of sampling where every member of the population has a known and equal chance of being selected.

Simple Random Sampling

It is a sampling technique where every individual in the population has an equal chance of being selected.

Systematic Sampling

It is a sampling technique where individuals are chosen at regular intervals (e.g., every nth member) from a list.

Stratified Sampling

It is a sampling technique where the population is divided into subgroups (strata), and samples are taken from each subgroup.

Cluster Sampling

It is a sampling technique where the population is divided into clusters, and entire clusters are randomly selected.

Non-Probability Sampling

It is a type of sampling where not every member of the population has a chance of being selected, and selection is based on convenience, judgment, or voluntary participation.

Convenience Sampling

It is a sampling technique where participants are selected based on accessibility and availability.

Purposive Sampling

It is a sampling technique where participants are selected according to specific criteria or purpose of the study.

Quota Sampling

It is a sampling technique where participants are selected to fill specific categories or proportions of the population.

Snowball Sampling

It is a sampling technique where existing participants recruit additional participants for the study.