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Surveys Combining Probability and Quota Methods of Sampling

Author(s):
King, Benjamin F.
Publication Year:
1983
Report Number:
RR-83-40
Source:
ETS Research Report
Document Type:
Report
Page Count:
32
Subject/Key Words:
Bayesian Statistics, Probability, Sampling, Statistical Analysis, Surveys

Abstract

The problem of choosing between full probability and quota sampling is discussed in terms of a Bayesian model of biased measurement. The original model is elaborated upon to better approximate the multistage cluster sampling that is used in actual national surveys. Allocation rules are developed that may involve devotion of resources to total quota sampling, or to total probability sampling, or to designs that combine both types of sampling. The sensitivity of the optimal allocation to the specification of the prior distribution and the cost parameters is investigated. (32pp.)

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