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Activity Number: 627 - Estimation with Nonprobability Samples
Type: Contributed
Date/Time: Thursday, August 3, 2017 : 8:30 AM to 10:20 AM
Sponsor: Survey Research Methods Section
Abstract #324351
Title: Assessment of Bias in Estimates using Data from a Sample of Self-Reported Web Users
Author(s): Meena Khare*
Companies: NCHS/CDC
Keywords: Web Surveys ; non-probability surveys ; NHIS ; Internet users ; Email users
Abstract:

Nonresponse and increasing survey costs continue to influence traditional methods of data collection. In recent years, researchers are exploring alternative methods of designing surveys and data collection to reduce bias and survey cost. According to the Pew Research Center telephone surveys, the Internet use among the U.S. adults has increased from 14% in 1996 to 88% in 2016. Therefore, Web surveys and multimode data collections from households and establishments have become a common, alternative cost-saving approach. The National Health Interview Survey (NHIS) has been collecting information on the Internet and email usage among adults since 2012. Among 2014-2015 NHIS adult respondents, 74.1% report using the Internet or emails. This paper presents an assessment of bias in selected estimates using data from a random sample of self-reported Web users (defined as an NHIS respondent who uses the Internet or email) and compares with the overall NHIS estimates.


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

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