Indicators for the representativeness of survey response

By Barry Schouten, F. Cobben, Jelke Bethlehem. 2009

351 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/aa594bf03a7cc219ccc6da01d1e3cb14a125d67a

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Citations in the corpus

MENTAL HEALTH PROBLEMS IN COLLEGE FRESHMEN: PREVALENCE AND ACADEMIC FUNCTIONING (2017, methodology): “Since response rates can be poor indicators of data representativity (Groves, 2006), we also calculated representativity indicators (R-indicators; Schouten et al., 2009) for each additional inclusion stage.”
Estimation of an indicator of the representativeness of survey response (2012, methodology): “We propose bias adjustments to the point estimator proposed by Schouten et al. (2009) and demonstrate the effectiveness of this adjustment in a simulation study where it is shown that the method is valid, especially for smaller sample sizes.”
Unit Nonresponse and Weighting Adjustments: A Critical Review (2013, background): “Schouten et al. (2009) define the R-indicator as RðfðxÞÞ ¼ 1 2 2SðfðxÞÞ; ð1Þ where S(f(x)) is the population standard deviation of the response propensities and X is a vector of auxiliary variables known for the full sample.”
Does more balanced survey response imply less non‐response bias? (2016, methodology): “We refer to Lundquist and Särndal (2013), Särndal and Lundström (2010), Särndal (2011), Schouten et al. (2009, 2011) and Shlomo et al. (2012) for detailed accounts of the indicators and their statistical properties.”
Contemporary Guidance for Stated Preference Studies (2017, background): “Some surveys also use alternative measures to assess the likelihood of nonresponse bias, such as the R-indicators advocated by Schouten, Cobben, and Bethlehem (2009) 70.”