Sampling Design

Front

What is Sampling Design?

Back

Sampling design refers to the strategy or plan used to select a subset of individuals from a population to estimate characteristics of the whole population.

Front

Define Simple Random Sampling.

Back

Simple random sampling is a sampling method where each member of the population has an equal chance of being selected.

Front

What is Cluster Sampling?

Back

Cluster sampling involves dividing the population into clusters (groups) and then randomly selecting entire clusters to sample.

Front

Explain Stratified Sampling.

Back

Stratified sampling is a method where the population is divided into subgroups (strata) based on shared characteristics, and random samples are taken from each stratum.

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What is Systematic Sampling?

Back

Systematic sampling involves selecting every nth individual from a list of the population after a random starting point.

Front

Define Convenience Sampling.

Back

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

Front

What is Voluntary Response Sampling?

Back

Voluntary response sampling occurs when individuals choose to participate in a survey or study, often leading to biased results.

Front

Describe the difference between Probability and Non-Probability Sampling.

Back

Probability sampling involves random selection, allowing for the calculation of sampling error, while non-probability sampling does not involve random selection and may lead to bias.

Front

What is the purpose of Sampling in research?

Back

Sampling allows researchers to gather data and make inferences about a larger population without needing to study every individual.

Front

What is a Sampling Frame?

Back

A sampling frame is a list or database from which a sample is drawn, representing the population.