Selection Bias in Web Surveys¶
Bethlehem, J. (2010). Selection Bias in Web Surveys. International Statistical Review, 78(2), 161-188.
Cited by¶
4 citations across 4 artifacts.
Each citation links to the sentence it supports in the citing article.
Mechanisms¶
- Beta Program
- Its central failure mode is self-selection bias:
This sourceShows that self-selection can make a volunteer sample systematically unrepresentative and produce unreliable population estimates.
- Its central failure mode is self-selection bias:
- Collective Input Aggregation Surface
- The classic misuse is presenting a self-selected, gameable aggregate as if it were representative data — reading a convenience sample as a poll.
This sourceShows that self-selected convenience responses cannot be treated as representative population survey data without addressing selection bias.
- The classic misuse is presenting a self-selected, gameable aggregate as if it were representative data — reading a convenience sample as a poll.
- Participatory Visibility Review
- Its failure mode is participation bias: the panel is self-selected or hand-picked, so the most available and most vocal stand in for everyone, and a new, confident-looking blind zone replaces the old one.
This sourceShows that self-selection in participation-based web surveys produces selection bias and unreliable survey outcomes.
- Its failure mode is participation bias: the panel is self-selected or hand-picked, so the most available and most vocal stand in for everyone, and a new, confident-looking blind zone replaces the old one.
- Silent Dependency Survey
- … is survivorship bias in the responses: a survey hears from those who see it and choose to answer, so the most silent dependents — the ones with the least voice, time, or access — are exactly the ones most likely to be missed, and a low response rate read as "no one depends" repeats the original error at scale.
This sourceWarns that access barriers and self-selection systematically omit some of the people a dependency survey is intended to find.
- … is survivorship bias in the responses: a survey hears from those who see it and choose to answer, so the most silent dependents — the ones with the least voice, time, or access — are exactly the ones most likely to be missed, and a low response rate read as "no one depends" repeats the original error at scale.
Verification¶
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Does it back the claim? Not recorded. Neither this nor any other of the 4 citations of this work carries a recorded support check.
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