How Do Quota Samples Differ from Stratified Samples? Why Are

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The Answer is Quota samples differ from stratified samples in that quota samples are non-random samples, where the researcher selects participants based on certain characteristics to match the proportions found in the population, while stratified samples are random samples where the population is divided into subgroups and participants are randomly selected from each subgroup.

Despite this difference, quota samples and stratified samples are somewhat similar because they both involve dividing the population into subgroups based on certain characteristics. In both cases, the goal is to ensure that the sample reflects the diversity of the population in terms of these characteristics. Additionally, both methods can be used to improve the representativeness of the sample and increase the reliability of the study results. However, it is important to note that stratified samples are generally considered more rigorous and reliable than quota samples, as they involve random selection within each subgroup.

How Do Quota Samples Differ from Stratified Samples? Why Are

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How Do Quota Samples Differ from Stratified Samples? Why Are

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