which sampling strategy is most commonly used in ethnography? group of answer choices purposive sampling cluster sampling stratified random sampling derivative sampling

Respuesta :

The size of the subculture or group under studied determines the sampling size in ethnography. In this regard, it might not be possible to predetermine the participant count. The complete subculture or group being studied serves as the study sample size in anthropological research.

The non-random sample that best resembles stratified random sampling is quota sampling.

Using the non-probability sampling technique of quota sampling, researchers select a sample of people who are typical of the population. These people are chosen by researchers based on specific traits or qualities. In order to use market research samples for data collecting, they decide on and set sample quotas. These samples accurately reflect the entire population. The interviewer's or researcher's knowledge of the population will be the only factor used to select the final subgroup.

Probability sampling means that every member of the population has a chance of being selected.

There are four main types of probability sample.

Simple random sampling.

Systematic sampling.

Stratified sampling.

Cluster sampling.

For instance, a tobacco company would want to know which age group in a given city loves which brand of smokes. The age groups of 21–30, 31–40, 41–50, and 51+ are subject to survey quotas. Based on these findings, the researcher makes an estimation of the smoking trend in the city's inhabitants.

Therefore,

The size of the subculture or group under studied determines the sampling size in ethnography. In this regard, it might not be possible to predetermine the participant count. The complete subculture or group being studied serves as the study sample size in anthropological research.

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