Calibrating for Bias in Online Samples

ARF AUDIENCExSCIENCE 2019

People who make the decision to monetize their use of the internet through online survey panels differ from the general population in a variety of important ways.

During this session at ARF AUDIENCExSCIENCE 2019, Steven Millman shared insights from a new analysis, which compared results for the same survey on Simmons’ National Consumer Survey – which is based on a random probability sample – and an opt-in online version. The research identifies the kinds of questions that can and cannot be debiased through weighting.

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