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Quota sampling is a non-probability sampling technique used in research where the population is divided into specific subgroups or strata based on certain characteristics such as age, gender, income, education, or occupation. Researchers then select participants from each subgroup to ensure that the sample reflects the same proportion of those characteristics as found in the population. The primary objective is to ensure representation of key segments of the population, particularly when random sampling is not feasible due to constraints like time, cost, or accessibility. In quota sampling, the researcher identifies the characteristics relevant to the study and determines the proportion of each subgroup required in the sample. For example, if a population consists of 60% females and 40% males, the researcher will collect ________ _____ _________ ____ _________ ______ _______.
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