What’s the point of asking? A review of the reliability of self-reported measures of sexual behaviour
![seminar](/sites/default/files/styles/card_medium/public/2024-03/iStock-1470025568.jpg?h=119335f7&itok=uswytzP6)
In this webinar, Andrew Mercer will discuss the results of a Pew Research Center study designed to shed light on the current state of online probability-based and opt-in samples.
It compares the accuracy of six online surveys of U.S. adults – three from probability-based panels and three from opt-in sources.
This is the first such study to include samples from multiple probability-based panels, allowing for their side-by-side comparison.
The study was also designed to permit an in-depth comparison of accuracy not only for full-sample estimates, but for estimates within key demographic subgroups.
Consistent with previous studies, it found that probability-based samples generally yielded more accurate estimates.
More interestingly, it also found that on opt-in samples, especially large errors for 18-to-29- year-olds and Hispanic adults resulted from the presence of “bogus respondents” who make no effort to answer questions truthfully.
Mercer will discuss these and other findings from the report and its implications for the practice of online public opinion research.
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