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Disproportional cluster sampling

Disproportional cluster sampling is a probability-based survey design in which naturally occurring groups (clusters) are selected as primary sampling units, but the number of clusters or elements drawn from each group is not proportional to that group's share of the population. By deliberately over- or under-sampling certain clusters, researchers gain analytic flexibility and precision where it matters most, at the cost of requiring post-hoc weighting for population-level inference.

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Disproportionate Cluster Sampling

Taksonoomiline meetodikirje · process-pipeline / survey-methodology

Kish, L. (1965). Survey Sampling. John Wiley & Sons. · ISBN 978-0471489009
Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. · ISBN 978-0471162407

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Taxonomic bucketCluster Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDisproportional Stratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultistage Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketProportional Cluster Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSystematic Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketWeighted Samplingmachine-suggested · Relational suggestion, not evidence.