BIG DATA POLL

Generic Ballot

The Generic Ballot conducted by BIG DATA POLL for the Public Polling Project tracks the national popular vote for the U.S. House of Representatives. It’s long been considered a bellwether for the national mood, to gauge potential net swings in seat changes, and the balance of power in the U.S. Congress.

Methodology

The Public Polling Project conducted by BIG DATA POLL interviews no less than 2,000 registered voters nationwide and is a mixed mode survey. Interviews conducted online are sourced through Lucid (CINT) and live-agent phone interviews including P2P SMS and text-to-online are sourced from L2 or the Aristotle National Voter File Database. Participants who opt for text-to-online are given 24 hours to complete the interview. Results are weighted for sex, age, race and ethnicity, education, and geography. The overall sampling error ranges from a low of ±1.7% to a high ±2.1% sample (n) depending at a 95% confidence level. It is important to note that sampling errors for subgroups are higher.

All BIG DATA POLL publicly conducted surveys are crowdfunded via the Public Polling Project, supplemented if necessary by BIG DATA POLL and are NOT funded by or affiliated with any candidate, campaign, committee, or political entity. Interactive crosstabs are available on MarketSight with each corresponding press release.

The Generic Ballot is conducted monthly by Big Data Poll for the Public Polling Project and interviews at least 2,000 registered voters nationwide.

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