Numbers, Facts and Trends Shaping Your World
Newsletters Press Donate My Account
Pew Research Center Logo

Read our research on: Congress | Economy | Gender

Pew Research Center Logo
Research Topics
All PublicationsMethodsShort ReadsTools & ResourcesExpertsAbout
Topics
Politics & PolicyInternational AffairsImmigration & MigrationRace & EthnicityReligionGenerations & AgeGender & LGBTQ
Family & RelationshipsEconomy & WorkScienceInternet & TechnologyNews Habits & MediaMethodological ResearchFull topic list
Regions & Countries
Asia & the PacificEurope & RussiaLatin AmericaMiddle East & North AfricaNorth AmericaSub-Saharan AfricaMultiple Regions / Worldwide
Formats
FeaturesFact SheetsVideosData Essays
Research Topics
Topics
Politics & PolicyInternational AffairsImmigration & MigrationRace & EthnicityReligionGenerations & AgeGender & LGBTQFamily & RelationshipsEconomy & WorkScienceInternet & TechnologyNews Habits & MediaMethodological ResearchFull topic list
Regions & Countries
Asia & the PacificEurope & RussiaLatin AmericaMiddle East & North AfricaNorth AmericaSub-Saharan AfricaMultiple Regions / Worldwide
Formats
FeaturesFact SheetsVideosData Essays
All PublicationsMethodsShort ReadsTools & ResourcesExpertsAboutMy Account
DONATE

Read our research on: Congress | Economy | Gender

Home Research Topics
Pew Research CenterApril 28, 2016

All samples perform well in predicting health insurance coverage

← Prev Page
Page1Page2Page3Page4
Next Page →
All samples perform well in predicting health insurance coverage

Infographics

Accuracy of online survey estimates varies substantially across vendors
Online samples tend to display a distinct socioeconomic profile
ATP shows larger errors for civic and political estimates than others
Estimates for Hispanics and blacks show the largest biases of all major subgroups
Biases tend to be larger for younger adults than for older adults
Substantial variability across samples in predicting smoking
All samples perform well in predicting health insurance coverage
Substantial variability across samples in predicting volunteering
Samples are similar and limited in their ability to predict voting in local elections
Online nonprobability samples struggle with marginal effects of race and ethnicity
Most samples overrepresent whites and college graduates, on unweighted basis
Unweighted demographics are largely unrelated to accuracy
All samples overestimate volunteering, but some do so more than othersch3 02
Online samples tended to overestimate voter registration
Online samples tilt more Democratic than telephone RDD samples ch3 04
Partisan views on government ch3 05
Estimates from different online samples run the gamut from highly variable to highly consistent

Pew Research Center
1615 L St. NW, Suite 800
Washington, DC 20036
USA
(+1) 202-419-4300 | Main
(+1) 202-857-8562 | Fax
(+1) 202-419-4372 | Media Inquiries

Research Topics
Politics & PolicyInternational AffairsImmigration & MigrationRace & EthnicityReligionGenerations & AgeGender & LGBTQ
Family & RelationshipsEconomy & WorkScienceInternet & TechnologyNews Habits & MediaMethodological ResearchFull topic list
Follow Us
Email Newsletters Facebook Twitter Tumblr YouTube RSS

About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts.

Copyright 2023 Pew Research Center About Terms & Conditions Privacy Policy Reprints, Permissions & Use Policy Feedback Careers