Sampling Techniques and Methods

The video discusses various sampling techniques used in research. It covers simple random sampling, where subjects are randomly selected from a population, stratified sampling, which involves dividing the population into similar groups and selecting subjects from each, systematic sampling, where every kth subject is chosen, and cluster sampling, which involves dividing the population into clusters and selecting entire clusters. Each method is explained with examples to illustrate how they work.

What is the main characteristic of a simple random sample?

• Subjects are selected from pre-defined groups.

• Subjects are selected based on their availability.

• Subjects are selected randomly from the population.

• Subjects are selected based on specific criteria.

In a stratified sample, how is the population divided?

• Into clusters.

• Into individual subjects.

• Into random groups.

• Into strata or groups with similar individuals.

What is the purpose of dividing the population into strata in stratified sampling?

• To make the sampling process easier.

• To ensure each group is different.

• To ensure each group is similar.

• To reduce the sample size.

In systematic sampling, what does 'k' represent?

• The number of subjects in the sample.

• The interval at which subjects are selected.

• The total population size.

• The number of groups.

How is a systematic sample typically selected?

• By selecting subjects randomly.

• By selecting subjects from clusters.

• By selecting every kth subject.

• By selecting subjects based on availability.

What is a key feature of cluster sampling?

• Subjects are selected based on specific criteria.

• Entire clusters are selected randomly.

• Subjects are selected from a single group.

• Subjects are selected from similar groups.

In cluster sampling, what can clusters be compared to?

• Individual subjects.

• Strata in stratified sampling.

• Counties in a state.

• Random groups.

What differentiates cluster sampling from stratified sampling?

• Clusters are similar, while strata are different.

• Both clusters and strata are different.

• Both clusters and strata are similar.

• Clusters are different, while strata are similar.

Which sampling technique involves selecting entire groups to form a sample?

• Cluster sampling.

• Stratified sampling.

• Simple random sampling.

• Systematic sampling.