Optimal Design of Interviewer Variance Experiments in Complex Surveys
将Fellegi的访员方差估计方法推广到多阶段调查设计，利用1980年普查数据计算方差项，探讨最优设计并展示复合估计量的改进。
Abstract Fellegi's (1974) improved method for estimating the interviewer component of correlated response variance is extended to l groups of k interviewer assignments for general multistage survey designs. Using a linear models approach suggestive of Hartley and Rao's (1978), the independence of the two estimators of interviewer variance is established and the forms of the variances of the estimators are derived. Then using 1980 census data to compute terms in the estimator variances, (a) the optimal design of interviewer variance studies is considered, (b) the improvement of the composite estimator is demonstrated, and (c) some principles of efficient study design are developed.