Sampling Methods

Sampling methods can be broadly classified into two types — probability and non-probability sampling.

Probability Sampling

In probability sampling the probability of an element being included in the sample is known, though the probability of inclusion may not be equal.

Probability sampling methods include simple random sampling, systematic sampling, stratified sampling and cluster sampling.

Non-Probability Sampling

Non-probability sampling involves subjective judgment in sample selection. It does not allow for the computation of sampling errors since the probability of selection for each element in the population is unknown. Examples of non-probability sampling methods include:

Examples of non-probability sampling include quota sampling, convenience sampling, purposive sampling and snowball sampling.

It is important to note that while non-probability sampling methods can be practical and cost-effective, the lack of randomness in the selection process may limit the generalizability of the findings to the broader population.

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