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Sampling, Luis Alfonso Badial Diaz - Coggle Diagram
Sampling
Types of sampling
Probability Sampling
Simple Random
Sampling
In this technique, a random sample of individuals is chosen from the population where each member has an equal chance of being selected.
Stratified Sampling
This technique involves dividing the population into subgroups or strata based on specific characteristics such as age, gender, or income, and then selecting a random sample from each stratum.
Cluster Sampling
In this technique, the population is divided into clusters or groups, and then a random sample of clusters is selected, and all individuals within the selected clusters are included in the sample.
Systematic Sampling
This technique involves selecting a sample by choosing every nth individual or case from a list of the population.
Non-Probability Sampling
Convenience Sampling
In this technique, individuals or cases are selected based on their availability or accessibility.
Quota Sampling
This technique involves selecting individuals or cases based on predetermined quotas for certain characteristics such as age, gender, or ethnicity.
Snowball Sampling
In this technique, initial participants in a study recruit additional participants from their network, who then recruit others and so on.
Purposive Sampling
This technique involves selecting individuals or cases based on specific criteria, such as their expertise or experience.
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What is sampling
Sampling is a process of selecting a subset of individuals or cases from a larger population to represent that population. This is done to obtain a representative sample that can be used to make generalizations about the population.
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