Sampling Methods

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What is a Convenience Sample?

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A Convenience Sample is a type of non-probability sampling where the sample is taken from a group that is easily accessible to the researcher.

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What is a Cluster Random Sample?

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A Cluster Random Sample involves dividing the population into clusters (usually geographically), randomly selecting some clusters, and then surveying all individuals within those selected clusters.

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What is the purpose of random selection in sampling?

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The purpose of random selection is to reduce bias in the sample, ensuring that every individual has an equal chance of being chosen.

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What is a Systematic Random Sample?

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A Systematic Random Sample is obtained by selecting every nth individual from a list or sequence after a random starting point.

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What is a Simple Random Sample?

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A Simple Random Sample is a sampling method where every individual in the population has an equal chance of being selected.

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What is a Stratified Random Sample?

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A Stratified Random Sample involves dividing the population into subgroups (strata) and then randomly sampling from each stratum.

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What is the difference between Convenience Sampling and Random Sampling?

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Convenience Sampling relies on easy access to participants, while Random Sampling ensures that every individual has an equal chance of being selected, reducing bias.

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What is a Voluntary Response Sample?

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A Voluntary Response Sample consists of individuals who choose to participate in a survey or study, often leading to biased results.

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Why is it important to reduce bias in sampling?

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Reducing bias is crucial to ensure that the sample accurately represents the population, leading to valid and reliable results.

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What is the main characteristic of a Simple Random Sample?

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In a Simple Random Sample, all individuals and all subsets of the sample size have an equal chance of being selected.