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Field-based cluster sampling

Field-based cluster sampling is a probability sampling method in which naturally occurring geographic or administrative groups (clusters) are first randomly selected, and then data are collected in person from units within those clusters. It is the standard design for large-scale field surveys in public health, agriculture, education, and humanitarian response, where compiling a full population list is impractical but clusters such as villages, schools, or census tracts can be identified and physically accessed.

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Field-Based Cluster Sampling

Taksonoomiline meetodikirje · process-pipeline / survey-methodology

World Health Organization. (1991). Training for mid-level managers: The EPI coverage survey. WHO/EPI/MLM/91.10. World Health Organization. · URL
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 bucketField-based Stratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMultistage Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSimple random samplingmachine-suggested · Relational suggestion, not evidence.Same method familyStratified Samplingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSystematic Samplingmachine-suggested · Relational suggestion, not evidence.