Macro and Micro Paradata for Survey Assessment.

作者：Fritz Scheuren · 年份：2000 · 被引用次数：9 · 研究领域：Survey Methodology and Nonresponse、Statistical Methods and Bayesian Inference

At present we typically assess quality by relying heavily on summary process measures or macro paradata that is a by-product of sample selection and survey administration (e.g., item and unit nonresponse rates, response variances, sampling and coverage errors). These measures are an outgrowth of the randomization-based approach to survey sampling that triumphed in government agencies around the world in the two decades after the seminal 1934 paper of Neyman. When most of our present measures were developed, therefore, nonsampling error problems, like nonresponse, were less serious or less well understood.