2017The International Encyclopedia of Communication Research MethodsRequires access

Sampling, Random

Magdalena Saldaña

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Abstract

Random sampling is the procedure in which all members of a population have a known, nonzero chance of being selected. When samples are randomly chosen, researchers can use sample data to make educated guesses about the population. Likewise, random samples allow the calculation of sampling errors with a certain level of confidence. Simple random sampling, systematic random sampling, stratified random sampling, and cluster sampling are the most common random sampling designs.

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What this paper is about

Random sampling is the procedure in which all members of a population have a known, nonzero chance of being selected. When samples are randomly chosen, researchers can use sample data to make educated guesses about the population. Likewise, random samples allow the calculation of sampling errors with a certain level of confidence. Simple random sampling, systematic random sampling, stratified random sampling, and cluster sampling are the most common random sampling designs.

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Available abstract

Random sampling is the procedure in which all members of a population have a known, nonzero chance of being selected. When samples are randomly chosen, researchers can use sample data to make educated guesses about the population. Likewise, random samples allow the calculation of sampling errors with a certain level of confidence. Simple random sampling, systematic random sampling, stratified random sampling, and cluster sampling are the most common random sampling designs.

Key concepts: Simple random sample, Cluster sampling, Stratified sampling, Poisson sampling, Sampling (signal processing), Systematic sampling, Statistics, Sampling design

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