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Activity Number: 449
Type: Topic Contributed
Date/Time: Wednesday, August 1, 2012 : 8:30 AM to 10:20 AM
Sponsor: Section on Survey Research Methods
Abstract - #304984
Title: Finding an Optimal Composite Factor: Weighting Data from a Household Survey Using a Cell Overlap Design
Author(s): John W Hall*+ and Barbara Lepidus Carlson and Karen CyBulski
Companies: Mathematica Policy Research and Mathematica Policy Research and Mathematica Policy Research
Address: 600 Alexander Park, Princeton, NJ, , USA
Keywords: Composite Weights ; Cell Overlap Design ; RDD ; Telephone Surveys ; Bias ; Variance

Two approaches currently used to sample the U.S. residential population for random digit dialing (RDD) survey are the "cell only" and "cell overlap" designs. Each involves supplementing an RDD landline sample with an RDD cell sample. In either design, all households reachable by landline phone are retained in the landline sample. However, in a "cell only" design interviewers screen the cell sample for households with no landline service ( households with landline service are screened out), while in a "cell overlap design", all households accessible by cell phone are retained for the cell sample. This paper reports on weight construction for a large national telephone survey (the Health Tracking Household Survey) that used a cell overlap design. In a cell overlap design, households with both landline and cell service have a chance of being selected from either frame. To address this multiplicity issue we employed a composite weight for the dual-service group. The paper explains how the compositing factor was derived and investigates the impact of using different compositing factors on sampling error and potential bias.

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