The Impact of Nonresponse Rates on Nonresponse Bias A Meta-Analysis

By R. Groves, Emilia Peytcheva. 2008

1,454 citations recorded by the source corpus.

Subfields: General Health Professions, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/55951012024a7a3278bd68200844c01c68e5d273

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In General Health Professions

In Sociology and Political Science

Citations in the corpus

Contemporary Guidance for Stated Preference Studies (2017, background): “…between response rates and nonresponse bias (Curtin, Presser, and Singer 2000; Keeter et al. 2000; Merkle and Edelman 2002; Keeter et al. 2006; Groves and Peytcheva 2008), and efforts to increase response rates can sometimes worsen nonresponse bias (Peytchev 2009; Lundquist and Särndal 2013).”
Use of Internet Panels to Conduct Surveys (2015, background): “Meta-analysis suggests that the relation between response rate and bias is not very strong in most cases (Groves & Peytcheva, 2008).”
Web-Face-to-Face Mixed-Mode Design in a Longitudinal Survey: Effects on Participation Rates, Sample Composition, and Costs (2017, background): “Furthermore, it is possible that subgroup differences in response propensity could differ between modes (Groves and Peytcheva 2008; Voogt and Saris 2005).”
Measuring public perceptions of the police (2010, result): “For example, a recent meta-analysis of 59 studies containing estimates of nonresponse bias concluded that “nonresponse differences are largely similar across the range of nonresponse rates found” (Groves and Peytcheva, 2008, p. 175).”
An Empirical Test of Nonresponse Bias in Internet Surveys (2015, background): “These results are in agreement with those of Groves and Peytcheva (2008); Hox, de Leeuw, and Chang (2012); and Rindfuss, Choe, Tsuya, Bumpass, and Tamaki (2015).”
Improving the content validity of the mixed methods appraisal tool: a modified e-Delphi study. (2019, result): “This concurs with studies reporting a weak association between response rate and nonresponse bias [28].”
Report on the AAU Campus Climate Survey on Sexual Assault and Sexual Misconduct (2015, background): “The response rate is only an indirect indicator of data quality (Groves and Peytcheva, 2008).”
The Use and Effects of Incentives in Surveys (2013, background): “10. groves’s analysis (2006) of nonresponse bias in some thirty studies, comprising 235 separate estimates, shows clearly that nonresponse bias exists (see also groves and Peytcheva 2008).”
Indicators for the representativeness of survey response (2009, background): “…response rates by themselves are poor indicators of non-response bias, see e.g., Curtin, Presser and Singer (2000), Groves, Presser and Dipko (2004), Groves (2006), Groves and Peytcheva (2006), Keeter et al. (2000), Merkle and Edelman (2002), Heerwegh, Abts and Loosveldt (2007) and Schouten (2004).”
Household Surveys in Crisis (2015, background): “Indeed, if they mainly encourage the groups that are already overrepresented in the survey or who are unmotivated to cooperate, they can even make the bias worse (Groves 2006; Groves and Peytcheva 2008; Tourangeau, Groves, and Redline 2010; Peytchev 2013; Kreuter, Müller, and Trappmann 2014).”
The End of the (Research) World As We Know It? Understanding and Coping With Declining Response Rates to Mail Surveys (2019, background): “However, it is the nonresponse bias that accompanies low response rate that is the larger issue (Groves 2006; Groves and Peytcheva 2008; Peytchev 2013; Wright 2015).”