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Disproportional sampling is a probability sampling technique used to address the difficulty researchers encounter with stratified samples of unequal sizes.
Disproportionate stratified sampling does not retain the proportions of the strata in the population. Use this method when you need to obtain precise estimates of each group and the differences between them.
Disproportionate stratified sampling is a statistical method used in research and surveys to ensure representation of specific subgroups within a population, where these subgroups (or strata) are not equally represented in the population.
Stratified sampling is a method of sampling that involves dividing a population into homogeneous subgroups or 'strata', and then randomly selecting individuals from each group for study.
What Is Stratified Sampling? Stratified sampling is a probability sampling procedure in which the target population is first separated into mutually exclusive, homogeneous segments
Disproportional stratified sampling can significantly influence the conclusions drawn from a research study by providing richer data on underrepresented subgroups. When analyzing these subgroups, researchers can uncover trends and insights that may be obscured in a proportional approach.
For example, say you want to investigate how income differs based on educational attainment, but you know that this relationship can vary based on race. Using stratified sampling, you can ensure you obtain a large enough sample from each racial group, allowing you to draw more precise conclusions.
Disproportionate stratified sampling is a stratified sampling method where the sample population is not proportional to the distribution within the population of interest. The implication is that the members of different subgroups do not have an equal opportunity to be a part of the research sample.
In disproportionate stratified random sampling, the different strata do not have the same fractions as each other. For a stratified sampling example, if your four strata contain 200, 400, 600, and 800 people, you may choose to have different sampling fractions for each stratum.
A sampling method in which the size of the sample drawn from a particular stratum is not proportional to the relative size of that stratum. For example, a stratum could be large supermarkets, which may only account for 20% of all grocery stores – although they account for 80% of grocery sales.