Abstract
AbstractA number of multi‐variate etiological surveys are analyzed for recurrent sources of bias in balanced and purposive sampling designs. Three nonsampling components emerge that may dominate the total error of a sample survey estimate. Outstanding among these appear to be administrative consideration of cost and convenience which may actually determine a sampling procedure, especially by reliance on voluntary participation, proxy responses and case‐finding methods that restrict the sample. Next is lack of comparability of population series that differ on some initial state (as to smoking). Finally, errors are caused by strong beliefs in what results should be. Extensive experience has now shown that it may not be possible to conduct a satisfactory etiological inquiry by use of surveys using nonrandom population samples.
Published Version
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