SOC 232 Lecture Notes - Census Geographic Units Of Canada, Cluster Sampling, Confidence Interval
Document Summary
Randomly select clusters, e. g. five provinces or territories from a list of all provinces and territories. Randomly select a number of subunits from each cluster (province/territory) e. g. census districts. From each census district selected, randomly select census subdivisions. Randomly select a certain number of residential blocks from each census subdivision selected. Randomly select a number of households from each block selected. Randomly select a person to be included in the study from each selected household. Cluster samples are usually stratified as well, i. e. divided into strata or subgroups before the clusters or subunits are selected . In our example, to ensure regional representation, the provinces and territories might be categorized into regions: bc, prairies, ontario, quebec, atlantic provinces, and the northern territories. A certain number of provinces or territories could be randomly selected from each region that contains more than one province or territory.
