SURVEYS COMBINING PROBABILITY AND QUOTA METHODS OF SAMPLING | Zendy

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SURVEYS COMBINING PROBABILITY AND QUOTA METHODS OF SAMPLING

Author(s) -

King Benjamin F.

Publication year - 1983

Publication title -

ets research report series

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.235

H-Index - 5

ISSN - 2330-8516

DOI - 10.1002/j.2330-8516.1983.tb00040.x

Subject(s) - sampling (signal processing) , cluster sampling , bayesian probability , probability sampling , statistics , sampling design , sampling distribution , multistage sampling , sensitivity (control systems) , probability distribution , computer science , econometrics , mathematics , population , demography , filter (signal processing) , electronic engineering , sociology , engineering , computer vision

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.

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