JSM 2004 - Toronto

Abstract #301832

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Activity Number: 433
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 10:30 AM to 12:20 PM
Sponsor: Section on Survey Research Methods
Abstract - #301832
Title: Assessing Nonresponse in Telephone Surveys
Author(s): Ronaldo Iachan*+ and Randal S. ZuWallack
Companies: ORC Macro International Inc. and ORC Macro International Inc.
Address: 11785 Beltsville Dr., Calverton, MD, 20705,
Keywords: nonresponse ; RDD surveys ; propensity models ; longitudinal
Abstract:

Assessing survey nonresponse bias is especially difficult when little is known about the nonrespondents. Nonresponse weight adjustments take advantage of geographic, demographic, and socioeconomic information known for the population to reduce the bias potential. In many telephone surveys, such as the Department of Housing and Urban Development (HUD) Areas and Regions Fair Market Rent (FMR) surveys, addressing nonresponse is further complicated by the scarcity of data that can be used for screening and survey respondents. In the HUD surveys, both survey questionnaires ask only survey eligibility and rent-related questions, and have extremely exclusive eligibility criteria. This paper addresses three questions related to nonresponse in these surveys: (a) Are the gross rent estimates biased? (b) Do we see differential nonresponse rates? And © Which methods can best reduce nonresponse bias? The analyses make use of Census data extracted at the tract level, and used in propensity-type models. In the Regions Surveys, a longitudinal component permits additional insights into the components of nonresponse, and additional modeling of nonresponse.

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