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Optimal Design of Interviewer Variance Experiments in Complex Surveys
Paul P. Biemer and S. Lynne Stokes
Journal of the American Statistical Association
Vol. 80, No. 389 (Mar., 1985), pp. 158-166
Stable URL: http://www.jstor.org/stable/2288066
Page Count: 9
You can always find the topics here!Topics: Statistical variance, Estimators, Survey design, Cost estimates, Unbiased estimators, Statistical discrepancies, Matrices, Statistical estimation, Experiment design, Population estimates
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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.
Journal of the American Statistical Association © 1985 American Statistical Association