JSM 2004 - Toronto

Abstract #301699

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Activity Number: 149
Type: Topic Contributed
Date/Time: Monday, August 9, 2004 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #301699
Title: Attempting to Adjust for Selection Bias in Web Surveys with Propensity Scores: The Case of the Health and Retirement Survey
Author(s): Matthias Schonlau*+ and Mick P. Couper and Joachim Winter
Companies: RAND Corporation and University of Michigan and University of Mannheim
Address: 1700 Main St., Santa Monica, CA, 90407,
Keywords: web survey ; selection bias ; propensity scoring ; HRS
Abstract:

Many web surveys allow respondents to self-select into the survey. Making inference about the population from a self-selected survey is very difficult. We analyzed HRS data as well as supplementary information about which HRS respondents volunteered to respond and responded to an additional Internet survey. The HRS is a longitudinal study of health retirement and aging. The target population of the HRS includes all adults in the contiguous United States, age 51 - 61, who reside in households. We investigate whether and to what extent it is possible to adjust for selection bias using propensity scores in the case of the HRS.

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