By D. Krewski
Read or Download Current Topics in Survey Sampling. Proceedings of the International Symposium on Survey Sampling Held in Ottawa, Canada, May 7–9, 1980 PDF
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Extra info for Current Topics in Survey Sampling. Proceedings of the International Symposium on Survey Sampling Held in Ottawa, Canada, May 7–9, 1980
Averaged over the total population given by I = Σ P. d2/P . 1 where (4) 1 P = Σ P. 1 Another way of i n t e r p r e t i n g (4) would be t o t h i n k of d. as t h e p e r c a p i t a underpayment o r overpayment r e c e i v e d by a province. In t h i s c a s e I i s the weighted average over all p r o v i n c e s of t h e s q u a r e of t h e p e r c a p i t a under o r o v e r p a y m e n t s , the weights being the p r o v i n c i a l p o p u l a t i o n s . Indeed, d. = X. - x. I l l = (T.
V a r û . ). We now make the following assumption. Assumption B: Assume that the estimates û. are either independent or not positively correlated with one another. Under assumption B an overestimate of the variance of I. P. Fellegi 58 Δΐ' - Δΐ' is given by 2 ^2 4 Σ P. u. v a r u. 1 T h u s we o b t a i n t h e Te s t 3. (u. 1 1 following Adjust 1 1 . test. ) 1 if / 2 Γ2 Γ~~ - 4 / Σ ρ . u. v a r u. 975 that the adjusted counts will result in less inequity than the unadjusted ones (given assumptions A and B ) .
It is hoped to cover categorical items in subsequent studies. We adopt "additive error models" (also used in the more recent literature) in which the error made by (say) a particular interviewer are correlated through an additive error term. Confining ourselves to one particular content item, it is assumed that the true content item of the t-th respondent interviewed by interviewer i and coded by coder c has the following additive non-sampling errors: Interviewer error = b. + 6b 1 t Coder error = c + 6c c t Respondent error = or where b.
Current Topics in Survey Sampling. Proceedings of the International Symposium on Survey Sampling Held in Ottawa, Canada, May 7–9, 1980 by D. Krewski