JSM 2005 Online Program

Abstract #304055

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Activity Number:	73
Type:	Contributed
Date/Time:	Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor:	Section on Survey Research Methods
Abstract - #304055
Title:	Adjusting for Nonresponse in the Health Care Survey of DoD Beneficiaries
Author(s):	Nancy Clusen*+ and Haixia Xu and Michael Hartzell
Companies:	Mathematica Policy Research, Inc. and Mathematica Policy Research, Inc. and U.S. Department of Defense
Address:	600 Maryland Ave SW, Washington, DC, 20024, United States
Keywords:	weighting adjustment ; unit nonresponse
Abstract:	This paper presents the findings of an investigation of alternative forms of weighting adjustments to compensate for nonresponse in the Health Care Survey of DoD Beneficiaries. Currently, we compensate for potential nonresponse bias by adjusting for nonresponse within weighting cells defined by the stratification variables enrollment status, beneficiary group, and geographic area. However, a great deal more is known about both respondents and nonrespondents from the sample frame. The first stage of the research identified variables from the frame that were most related to response to the survey. Second, we incorporated the chosen auxiliary variables into a weighting adjustment procedure. Three alternative weighting adjustment procedures were used: a response propensity model; forming weighting cells by dividing the predicted response propensity scores distribution into equal, ordered subgroups; and forming weighting cells according to predicted response propensity scores and multiple outcome variables. Lastly, we compared and evaluated the results of using the alternative weighting procedures and the current procedure.

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