This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 228
Type: Topic Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #307534
Title: Can Post-Stratification Adjustments Do Enough to Reduce Bias in Telephone Surveys That Do Not Sample Cell Phones? It Depends
Author(s): Kathleen Thiede Call *+ and Michael Davern and Michel Boudreaux and Pamela Jo Johnson and Justine Nelson
Companies: University of Minnesota, SHADAC and NORC and University of Minnesota, SHADAC and Allina Health Systems and Minnesota Department of Health
Address: 2221 University Ave SE, Suite 345, Minneapolis, MN, 55414,
Keywords: telephone survey ; cell phone ; health survey ; weighting
Abstract:

Using the 2008 National Health Interview Survey we examine how biased health surveys are when cell phone only households are omitted and explore whether post-stratification can reduce this bias. We are interested in how well the adjustment work for key subpopulations (young adults and minorities) and an array of health surveillance domains (health insurance coverage, access to care, smoking and drinking). Post-stratification reduces bias in all health related estimates for the total and non-elderly population. However, these adjustments work less well for Hispanics and Blacks and even worse for young adults (18-30). Reduction in bias is greatest for estimates of uninsurance and having no usual source of care and worse for estimates of drinking, smoking, and forgone or delayed care due to costs. We conclude that post-stratification adjustments may not do enough to reduce bias.


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