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Activity Number: 238 - SPEED: Environment and Health, Governmental Policies and Population Surveys, Part 1
Type: Contributed
Date/Time: Monday, July 29, 2019 : 2:00 PM to 3:50 PM
Sponsor: Government Statistics Section
Abstract #307369 Presentation
Title: Weighting Adjustments Can Help with Low Response Rates, but at What Cost to Data Quality?
Author(s): Chrishelle Lawrence*
Companies: U.S. Energy Information Administration
Keywords: Weighting; Post-stratification; Residential Energy Consumption Survey

The Residential Energy Consumption Survey (RECS) was traditionally an in-person survey, but in its most recent survey cycle, in-person, web, and mail surveys were used for data collection. Planning is underway to consider a web/mail only data collection. Moving from an in-person interview to a web/mail survey for data collection poses many challenges, and one major concern is the expected decline in the response rate. To compensate for low response rates, nonresponse and post-stratification weighting adjustments are often used produce more accurate estimates. In doing this, survey weights become larger and more error is introduced into the estimates. Using results from a national pilot study that was conducted via web/mail, this research will consider the impact varying levels of total and subpopulation nonresponse have on data quality with respect to weights and estimates.

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

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