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Probability Sampling with Quotas

Journal of the American Statistical AssociationPublished 1 September 1966
Seymour Sudman
Citations70
SJR quartileQ1
SJR score4.10
SNIP3.08

Abstract

Abstract This paper describes certain quota sampling procedures and attempts to show that they are very close to traditional probability sampling. Quotas are shown to depend on availability for interviewing and evidence is presented to show that sex, age, and employment status are reasonable predictors of availability. Quota sampling methods are not unbiased but data are presented which suggest that the bias is generally of the order of 3 to 5 per cent. It is shown, however, that the cost differentials between these quota samples and call-back samples are small. The major advantage of this new procedure may well be the speed with which interviewing may be completed during crises such as the Kennedy assassination.

Keywords

MathematicsMedicineHealth Professions