Sampling Methods

Front

What is a Cluster Random Sample?

Back

A sampling method where the population is divided into clusters (usually geographically), and entire clusters are randomly selected to be included in the sample.

Front

What is a Systematic Random Sample?

Back

A sampling method where every nth individual is selected from a list or queue, starting from a randomly chosen point.

Front

What is a Simple Random Sample?

Back

A sampling method where every individual in the population has an equal chance of being selected.

Front

What is a Convenience Sample?

Back

A sampling method where individuals are selected based on their easy availability and proximity to the researcher.

Front

What is a Voluntary Response Sample?

Back

A sampling method where individuals choose to participate in the survey or study, often leading to bias.

Front

What is a Stratified Random Sample?

Back

A sampling method where the population is divided into subgroups (strata) and random samples are taken from each stratum.

Front

What is the main disadvantage of a Convenience Sample?

Back

It may not represent the entire population, leading to biased results.

Front

Why is a Voluntary Response Sample often biased?

Back

Because it attracts individuals with strong opinions, which may not reflect the views of the general population.

Front

What is the purpose of using Stratified Sampling?

Back

To ensure that specific subgroups within a population are adequately represented in the sample.

Front

What is the difference between Cluster Sampling and Stratified Sampling?

Back

In cluster sampling, entire groups are selected, while in stratified sampling, individuals are selected from each subgroup.