Abstract
This article is directed toward the validity of sampling techniques. The adequacy of a 1/1000 sample is tested by comparing data based on it with similar data based on a proportionately larger sample. Mitra's 1966 data on the prevalence of childlessness among American women, based on a 1/1000 sampling of the 1960 U.S. census, was reformulated based on a sample 50 times larger. The reformulation is tabulated according to race and age of the women. Differences for white women over age 20 were not great; differences for smaller samples. e.g., nonwhites or women under 20, were substantial. Thus, the data was more reliable when the sampling base was very large; it was much less reliable when the sampling base was divided by 10.
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