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Activity Number:
208 - Survey Research Methods Section P.M. Roundtable Discussion (Added Fee)
Type: Roundtables
Date/Time: Monday, July 29, 2019 : 12:30 PM to 1:50 PM
Sponsor: Survey Research Methods Section
Abstract #305012
Title: Constructing Better Coverage Intervals for Parameters Estimated from a Complex Sample Survey
Author(s): Phil Kott*
Companies: RTI
Keywords: Wald coverage interval; Skewness measure; Skewness-adjusted interval

Coverage intervals for a parameter estimated from a complex probability sample are usually constructed by assuming that the parameter estimate has an asymptotically normal distribution, and the measure of the estimator’s variance is roughly chi-squared. The size of the sample and the nature of the parameter being estimated render this conventional “Wald” methodology dubious when constructing coverage intervals, especially for proportions. A revised method of coverage-interval construction has been developed in the literature that “speeds up the asymptotics” by incorporating an estimated skewness measure. We will discuss how skewness-adjusted coverage intervals can be computed in some common situations and why it may be inappropriate to call them “confidence intervals.”

Authors who are presenting talks have a * after their name.

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