Sampling Methods and Techniques

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What is a sampling method?

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A sampling method is a technique used to select individuals or groups from a population to participate in a study, ensuring that the sample represents the population accurately.

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Define convenience sampling.

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Convenience sampling is a non-probability sampling technique where samples are selected based on their easy availability and proximity to the researcher.

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What is cluster sampling?

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Cluster sampling is a probability sampling technique where the population is divided into clusters (groups), and entire clusters are randomly selected for the study.

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Explain random sampling.

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

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What is systematic sampling?

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

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Define stratified sampling.

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

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What is the main disadvantage of convenience sampling?

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The main disadvantage of convenience sampling is that it can lead to biased results, as it does not accurately represent the entire population.

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How does cluster sampling differ from stratified sampling?

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

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What is the purpose of using random sampling in research?

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The purpose of using random sampling is to minimize bias and ensure that the sample accurately reflects the characteristics of the population.

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Give an example of systematic sampling.

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An example of systematic sampling is selecting every 10th person from a list of registered voters.