Introduction to Survey Quality

By P. Biemer, L. Lyberg. 2003

862 citations recorded by the source corpus.

Subfields: Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f8b9de37b09535c295c272d0baa8b830f1d9839a

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In Sociology and Political Science

Citations in the corpus

Effort in Phone Survey Response Rates: The Effects of Vendor and Client-Controlled Factors (2006, background): “Several authors have made this point, suggesting that other variables, such as nonresponse bias, are more important than response rates (Groves 1989; Krosnick 1999; Biemer and Lyberg 2003 ).”
Estimation of nonresponse bias in the European Social Survey: using information from reluctant respondents (2007, methodology): “Simple random sampling served as a useful benchmark against which to compare other sample designs (Biemer and Lyberg 2003, pp. 347–349).”
A global count of the extreme poor in 2012: data issues, methodology and initial results (2015, neutral): “For more discussion on this point, and the importance of data quality in general, see Bamberger et al. (2006), Biemer and Lyberg (2003), and United Nations Statistics Division (2005).”
Using SPSS to Analyze Complex Survey Data: A Primer (2020, background): “…and depend heavily on the nature of the research questions and the specific data collected, readers are encouraged to read Valliant et al. (2018), Biemer and Lyberg (2003), Lewis (2017), Heeringa et al. (2017), Lumley (2010), Lee and Forthofer (2005), and Chambers and Skinner (2003) for more…”
Web-Face-to-Face Mixed-Mode Design in a Longitudinal Survey: Effects on Participation Rates, Sample Composition, and Costs (2017, background): “Biemer and Lyberg (2003) assert that in United States and Western Europe mixing modes is the norm for surveys at present.”
Mixed mode designs: finding the balance between nonresponse bias and mode effects (2005, background): “The question is whether a higher response rate, reached by mixing different modes of data collection, will also lead to less biased data, as not only nonresponse bias, but also response bias can be a serious threat to the quality of survey data (Biemer and Lyberg 2003; Groves 1989).”
To mix or not to mix data collection modes in surveys. (2005, methodology): “Exceptions are Biemer and Lyberg (2003), Czaja and Blair (2005), and Groves, Fowler, Couper, Lepkowski, Singer, and Tourangeau (2004), who all include a section on mixed-mode designs in their chapters on data collection.”
International handbook of survey methodology. (2008, background): “According to Biemer and Lyberg (2003), mixed-mode surveys are now the norm in the United States and parts of Western Europe.”