Using variation in response rates of demographic subgroups as evidence of nonresponse bias in survey estimates

By Emilia Peytcheva, R. Groves. 2009

82 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6e77a232ad01abfb80f0af5de16cbc533703b6fb

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1. L. Bumpass
2. M. Choe
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4. Ronald R. Rindfuss
5. Emi Tamaki
6. J. Brick
7. Susan L. Brown
8. Wendy D. Manning

Citations in the corpus

• Unit Nonresponse and Weighting Adjustments: A Critical Review (2013, background): “Demographic variables such as age, sex, race, and geography were, and still are, frequently chosen even though they may not be effective in reducing bias (Peytcheva and Groves 2009).”
• Do low survey response rates bias results? Evidence from Japan (2015, background): “…within surveys than across surveys, that the level of non-response does not predict the likelihood of non-response bias, and that there is no necessary relationship between biases on control variables and substantive variables (Groves 2006; Groves and Peytcheva 2008; Peytcheva and Groves 2009).”