Selection Bias in Web Surveys
By Jelke Bethlehem. 2010
1,156 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/1f4c88ce848ab2a4b60954b22b28da09c898cfe0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Jun-Hwa (Jacky) Cheah
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- José L. Roldán
- Thurasamy Ramayah
- Enrico Ciavolino
- P. Sultan
- H. Wong
- Michael R. Elliott
Citations in the corpus
- Information Could Reduce Consumer Demand for Exotic Pets (2017, background): “Our study was limited to respondents with internet access (Bethlehem 2010) and whose Web browsers searched for English language websites.”
- Inference for Nonprobability Samples (2017, background): “Bethlehem (2010) reviews this issue for web surveys. Vonk, van Ossenbruggen and Willems (2006) report that ethnic minorities and immigrant groups were systematically underrepresented in Dutch panels. They also found that, relative to the general population, the Dutch online panels contained dispropo”
- Sampling weight adjustments in partial least squares structural equation modeling: guidelines and illustrations (2020, background): “Finally, researchers should engage in different ex-post adjustments of sampling unit weights to compensate for critical issues in survey research, such as unequal selection probabilities, non-coverage, and sampling fluctuations (Bethlehem, 2010; Sarstedt et al., 2018a).”
- Service quality in a higher education context: an integrated model (2012, methodology): “Thus, a random technique was adopted (Bryman and Bell, 2007; Bethlehem, 2010).”
- Does Extreme Political Ideology Predict Conspiracy Beliefs, Economic Evaluations and Political Trust? Evidence From Sweden (2017, unknown): “Datasets collected online generally suffer from problems of under-coverage and self-selection that can potentially bias estimates (Bethlehem, 2010; Hooghe & Teepe, 2007).”