JSM 2014 Home
Online Program Home
My Program

Abstract Details

Activity Number: 597
Type: Topic Contributed
Date/Time: Thursday, August 7, 2014 : 8:30 AM to 10:20 AM
Sponsor: Survey Research Methods Section
Abstract #313708 View Presentation
Title: ABS and Demographic Flags: Examining the Implications for Using Auxiliary Frame Information
Author(s): Jamie Ridenhour*+ and Joseph P. McMichael and Jill Dever and Rachel Harter
Companies: RTI International and RTI International and RTI International and RTI International
Keywords: ABS ; address-based sampling ; auxiliary data
Abstract:

Auxiliary information from marketing databases can be applied to an ABS frame to identify addresses likely to house the target population for a particular survey. If this information is sufficiently accurate, these data can be used to stratify addresses and efficiently target the eligible population. This paper evaluates the accuracy of auxiliary information based on data from the Evaluation of Public Education Campaign on Teen Tobacco (ExPECTT), an in-person household survey targeting youths ages 11-16. Addresses flagged as likely to have a member of the target population were assigned to a high likelihood stratum and those flagged as not likely as well as those without auxiliary information were assigned to a low likelihood stratum. Because the auxiliary information is untested and high coverage desirable, ExPECTT includes addresses sampled from strata with presumed high and low likelihood of being in the target population. In this paper, we explore demographic characteristics and key outcomes of youths in households from high likelihood addresses with those in the low likelihood stratum. We also comment on the impact of the auxiliary information on data collection efficiencies.


Authors who are presenting talks have a * after their name.

Back to the full JSM 2014 program




2014 JSM Online Program Home

For information, contact jsm@amstat.org or phone (888) 231-3473.

If you have questions about the Professional Development program, please contact the Education Department.

The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.

ASA Meetings Department  •  732 North Washington Street, Alexandria, VA 22314  •  (703) 684-1221  •  meetings@amstat.org
Copyright © American Statistical Association.