Stratified sampling differs from quota sampling in that the sample elements are selected probabilistically rather than based on convenience or judgment.

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Stratified sampling involves dividing a population into subgroups based on specific characteristics, and then selecting a random sample from each subgroup. This increases the representativeness of the sample, as each subgroup is proportionally represented. Quota sampling, on the other hand, involves pre-specifying quotas for certain segments of the population, and then selecting individuals who meet those quotas based on convenience or judgment, without random selection.

Stratified Sampling Differs from Quota Sampling in That the Sample