HSS 3101 Lecture Notes - Lecture 8: Sampling Probability, Nonprobability Sampling, Quota Sampling

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Definition select subset of units from a pop to collect info to draw inferences about whole pop. Non-probability sampling: subjective method to select units from pop, fast, easy, inexpensive, assume sample represents pop. Probability sampling: based on randomization, complex, time-consuming, costly, prevalence, incidence, sampling error can be calculated. Assign random #s & pick based on a threshold (f = n/n: simple random (srs) Assign random #s and pick the smallest n values. Like drawing names from a hat, everyone has equal inclusion probability: systematic (sys) Individuals selected at regular intervals using sampling interval & random start. Pick every kth sample (k = n/n: cluster. Pick a unit of ppl & then sample everyone in the unit. Less statistically significant than srs but cheaper. 2 steps: pop grouped into clusters, select sample of clusters & interview all individuals w/in, probability-proportion-to-size (pps) Can improve statistical efficiency & reduce sampling variance: the random method of pps.

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