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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
DOI: 10.2307/2288066
Stable URL: http://www.jstor.org/stable/2288066
Page Count: 9
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Optimal Design of Interviewer Variance Experiments in Complex Surveys
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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.

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