Enterprise Finance & Corporate Risk Management AI News Updates Podcast- AI B2B News
The Uncertain World of “Likely Voters” and Polling Error: Methodological Insights
Description
The Uncertain World of “Likely Voters” and Polling Error: Methodological Insights Pre-election polls face a web of uncertainties at every step, from identifying who will vote to accounting for biases and error. The widely reported “margin of error” typically addresses just one factor – random sampling noise – while leaving many other sources of inaccuracy unmeasured. In lower-turnout contests like primary elections, these uncertainties are amplified, and seemingly small errors can shift outcomes. In extreme cases, a combination of misjudged turnout (“likely voter” errors) and polling biases can even produce surprise results – for example, both top finishers in a top-two primary coming from the same party, contrary to initial poll expectations. Below, we detail why a “likely voter” isn’t necessarily a “probable” (actual) voter, and examine how sampling error, design effects, nonresponse, weighting, likely-voter screens, and pollster-specific “house effects” contribute to polling uncertainty. We then show how these factors compound in primary elections and under top-two systems. [ [https://www.nuundigital.com/insights/strategy/political-polling-methodology-nuun]nuundigital.com [http://nuundigital.com]] [https://www.nuundigital.com/insights/strategy/political-polling-methodology-nuun], [ [https://biologyinsights.com/what-affects-the-margin-of-error-in-a-poll/]biologyinsights.com [http://biologyinsights.com]] [https://biologyinsights.com/what-affects-the-margin-of-error-in-a-poll/]
1 month for 9 kr.
Then 99 kr. / month · Cancel anytime
- Podcasts kun på Podimo
- 20 lydbogstimer pr. måned
- Gratis podcasts
All episodes
75 episodes
Comments
0Be the first to comment
Sign up now and become a member of the Enterprise Finance & Corporate Risk Management AI News Updates Podcast- AI B2B News community!