Evaluation of Descriptive Analyses of Survey Variances and Confidence Interval Widths
نویسنده
چکیده
Sample survey organizations often characterize the precision of point estimators through approximations based on, e.g., average design effects, average standard errors, generalized variance functions or average confidence interval widths. Practical evaluation of the adequacy of these approximations will depend on the whether one is interested in: (1) summary descriptions of a fixed set of variance estimates or confidence interval widths; or (2) formal inference (e.g., confidence intervals or test statistics) for related functions of finite-population or superpopulation parameters (e.g., design effects or specific coefficients of GVF models). Following a review of issues (1) and (2), this paper uses fixedeffect analysis of variance methods to develop some specific diagnostics for issue (1). Some of the proposed diagnostics are applied to data from the U.S. Third National Health and Nutrition Examination Survey (NHANES III).
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تاریخ انتشار 2002