Sampling Methods

Front

What is a Simple Random Sample (SRS)?

Back

A sampling method where every individual has an equal chance of being selected, typically achieved through random selection.

Front

Describe the Systematic Random Sample method.

Back

A sampling method where a random starting point is selected, and then every nth individual is chosen from a list.

Front

What is a Stratified Random Sample?

Back

A sampling method that involves dividing the population into subgroups (strata) and randomly sampling from each stratum.

Front

Explain the Cluster Random Sample method.

Back

A sampling method where the population is divided into clusters, and entire clusters are randomly selected for the sample.

Front

What is the purpose of using sampling methods in research?

Back

To obtain a representative subset of a population to make inferences about the whole population without surveying everyone.

Front

What is the difference between probability and non-probability sampling methods?

Back

Probability sampling methods give each member of the population a known chance of being selected, while non-probability methods do not.

Front

What is convenience sampling?

Back

A non-probability sampling method where samples are taken from a group that is easily accessible.

Front

Define quota sampling.

Back

A non-probability sampling method where the researcher ensures equal representation of various subgroups by setting quotas.

Front

What is the importance of sample size in research?

Back

Larger sample sizes generally lead to more reliable and valid results, reducing sampling error.

Front

What is sampling error?

Back

The difference between the sample statistic and the actual population parameter, which can occur due to the sample not being representative.