Nonresponse in U.S. Government Household Surveys: Consistent Measures, Recent Trends, and New Insights
By N. Bates, G. Burt, B. Atrostic. 2001
169 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/6bd5532352a52ac9375296fff3c44208d75261f1
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Citations in the corpus
- Do low survey response rates bias results? Evidence from Japan (2015, background): “Response rates have been declining in urbanized, high-income countries to the point where many cross-sectional surveys now have response rates below 50% (Atrostic et al. 2001; Brick and Williams 2013; de Leeuw and de Heer 2002; Groves 2011; Singer 2006).”
- Household Surveys in Crisis (2015, background): “Unit nonresponse rates rose by 3-12 percentage points over the 1990s for six US Census Bureau surveys (Atrostic et al. 2001).”
- Identifying Factors Affecting Longitudinal Survey Response (2009, background): “There is also mounting evidence indicating that the problem of sample attrition, has been getting worse over time (Atrostic et al., 2001; de Leeuw and de Heer, 2002; Tourangeau, 2003).”
- Using proxy measures and other correlates of survey outcomes to adjust for non‐response: examples from multiple surveys (2010, background): “Household surveys in many countries have witnessed a decline in response rates over the past few decades (Atrostic et al., 2001; Curtin et al., 2005; De Leeuw and DeHeer, 2002).”
- Unit Nonresponse and Weighting Adjustments: A Critical Review (2013, background): “2001; Atrostic et al. 2001; de Leeuw and de Heer 2002; Smith 1995; and Synodinos and Yamada 2000). Furthermore, the trend toward lower response rates is happening despite additional procedures aimed at increasing response in many surveys. Some of these procedures are designed to increase contact rat”