joyline yegon
Apr 17
Various types of sampling techniques with examples?
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Apr 17
1. Simple random sampling: Every member of the population has an equal chance of being selected. For example, selecting names out of a hat to choose participants for a survey.
2. Stratified sampling: The population is divided into subgroups (strata) based on certain characteristics, and then random samples are taken from each stratum. For example, dividing a population of students into grade levels and then randomly selecting students from each grade level.
3. Cluster sampling: The population is divided into clusters, and then a random sample of clusters is selected for study. For example, selecting a random sample of schools and then surveying all students within those schools.
4. Systematic sampling: Every nth member of the population is selected for the sample. For example, selecting every 10th person who enters a store for a customer satisfaction survey.
5. Convenience sampling: Participants are selected based on their availability and willingness to participate. For example, surveying shoppers at a mall.
6. Snowball sampling: Participants are recruited through referrals from existing participants. For example, asking participants in a study to refer others who may be interested in participating.
7. Quota sampling: Researchers select participants based on specific quotas to ensure representation of different groups within the population. For example, ensuring that a survey sample includes equal numbers of males and females.
2. Stratified sampling: The population is divided into subgroups (strata) based on certain characteristics, and then random samples are taken from each stratum. For example, dividing a population of students into grade levels and then randomly selecting students from each grade level.
3. Cluster sampling: The population is divided into clusters, and then a random sample of clusters is selected for study. For example, selecting a random sample of schools and then surveying all students within those schools.
4. Systematic sampling: Every nth member of the population is selected for the sample. For example, selecting every 10th person who enters a store for a customer satisfaction survey.
5. Convenience sampling: Participants are selected based on their availability and willingness to participate. For example, surveying shoppers at a mall.
6. Snowball sampling: Participants are recruited through referrals from existing participants. For example, asking participants in a study to refer others who may be interested in participating.
7. Quota sampling: Researchers select participants based on specific quotas to ensure representation of different groups within the population. For example, ensuring that a survey sample includes equal numbers of males and females.
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