The accuracy of marketing research results is affected by sampling and nonsampling errors. While the former can be computed objectively using sampling theory, the latter depend on subjective estimates. Such estimates can be facilitated by examining relevant empirical evidence. This article presents a model for integrating the subjective estimates about nonsampling error into estimates of total survey error and demonstrates its use through an example.
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