Abstract #301751

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JSM 2003 Abstract #301751
Activity Number: 278
Type: Topic Contributed
Date/Time: Tuesday, August 5, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #301751
Title: Outlier Weight Issues in REACH 2010
Author(s): Steven Pedlow*+ and Javier Porras and Colm A. O'Muircheartaigh
Companies: NORC at the University of Chicago and NORC at the University of Chicago and University of Chicago
Address: 55 E Monroe, Chicago, IL, 60603-5713,
Keywords: winsorizing ; capping
Abstract:

The wide variety of communities in REACH 2010 resulted in a wide variety of sampling strategies. Since REACH especially targeted specific demographic groups, RDD sampling is inefficient, while in-person interviewing is very expensive. Some communities were designed for in-person interviewing, some for RDD sampling, while others had RDD samples supplemented by listed numbers. Some communities were also stratified. Year 1 weights were created that adjusted for different probabilities of selection, nonresponse, and several other factors. In addition, for some communities, the RDD frame we used had less than 100% coverage. The frames of listed numbers, however, did have 100% coverage. Therefore, outside the RDD frames, we used the listed numbers to "represent" the unlisted numbers (that had no chance of selection). For these reasons, the REACH weights were highly variable with a significant number of extreme values in several communities. This talk will focus on the resulting outlier weights, the impact of sampling decisions on them, and whether it is a good idea to constrain the weights (trading bias for variance).

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