1.3 Data Sampling Types

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What is cluster sampling?

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Cluster sampling is a sampling technique where the population is divided into groups (clusters), and a random sample of these clusters is selected. All individuals within the chosen clusters are then surveyed.

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What is convenience sampling?

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Convenience sampling is a non-probability sampling technique where samples are taken from a group that is easily accessible to the researcher.

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What is random sampling?

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Random sampling is a sampling technique where each member of the population has an equal chance of being selected, ensuring that the sample is representative of the population.

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What is systematic sampling?

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Systematic sampling is a method where samples are selected at regular intervals from a randomly ordered list of the population.

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What is stratified sampling?

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Stratified sampling is a technique where the population is divided into subgroups (strata) that share similar characteristics, and random samples are taken from each stratum.

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Example of cluster sampling:

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A researcher surveys all students in randomly selected classrooms within a school.

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Example of convenience sampling:

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A student surveys friends and family members for a project.

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Example of random sampling:

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A lottery system where names are drawn randomly from a hat.

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Example of systematic sampling:

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Selecting every 10th person from a list of registered voters.

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Example of stratified sampling:

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Dividing a population of voters into age groups and randomly selecting individuals from each age group.