C. QUOTA SAMPLING

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C. Quota Sampling

is somewhat similar to stratified sampling, in that the population is divided into strata, and the researcher deliberately sets specific proportions in the sample,  whether or not the resulting proportion is reflective of the total population. This is commonly done to the ensure the inclusion of a particular segment of the population.

Example:

A researcher wants to survey the employees of a company regarding their thoughts on the company's new policies. The researcher intends to have representatives from all departments in his sample, but one department is so small that doing random sampling might result in that department not being represented. The researcher then sets a quota of respondents from that department to ensure their inclusion in the sample.

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