Roper Center for Public Opinion Research@RoperCenter

Home of Roper iPoll, the world’s largest public opinion data archive, with survey data from more than 150 different countries from 1935 to today.

 Cornell University
ropercenter.cornell.edu
Joined April 2009
3,055 Photos and videos
From analyzing vaccine sentiment across the political aisle to tracking immigration attitudes, researchers use Roper iPoll to power original insights. Check out some of the incredible work featured in our bibliography. 📊 bit.ly/3LgSJHs
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Roper Student Scholars are using the archive to support research on U.S. opinions about AI in health care, Latin American attitudes about foreign relations, Russian opinion during the war with Ukraine, and implications of recommended transparency elements for polling quality
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assessment. Scholars have weekly discussions with polling leaders from all sectors in the field, including organizations like Pew, Meta, KFF, and NORC.
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This screenshot features a session with our scholars and Liz Hamel, senior vice president and director of public opinion and survey research at KFF.
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Another school year, another set of backpacks donated by the Roper Center staff to local kids through the Cornell Elves program: elves.cornell.edu/backpack.h…
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During her @Cornell campus visit last week, @CNN Polling & Analytics Editor Ariel Edwards-Levy told us about her recently published guide to handling the oncoming deluge of midterm polling. Read the article here: cnn.com/2026/09/09/politics/…
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The Roper Center collection on elections and presidents contains decades of opinion data. Find attitudes, beliefs, values, and explore the choices made by Americans when it comes to politics and policymakers. ropercenter.cornell.edu/data…
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The Roper Center staff recently welcomed @CNN Polling & Analytics Editor Ariel Edwards-Levy to our offices at @Cornell to meet the team and explore the materials on site!
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@aedwardslevy
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The Roper Center for Public Opinion Research has always been where thinking people go to learn what people are thinking. ropercenter.cornell.edu/abou…
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Do you need to convert Column Binary (or colbin) data? The Roper Center has prepared a helpful step-by-step guide. ropercenter.cornell.edu/ipol…
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When it comes to the economy, there are many ways to measure the public's mood. Roper iPoll offers 237 pre-built current and historical trends on public views of their own finances, the stock market, employment, and more. bit.ly/3U9IXQZ
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Thanks to @ktpticaret for trialing Roper iPoll! #publicopiniondata
İstanbul Ticaret Üniversitesi Kütüphanesi@ktpticaret
Sep 15
📝Roper iPoll Veritabanı Deneme Erişimine Açıldı! 📌6 Ekim 2026 tarihine kadar deneme erişiminden yararlanabilirsiniz. 🔎Detaylı bilgi için web sitemizi ziyaret edin. #İstanbulTicaretÜniversitesi #Ticaretliyiz #RoperiPoll #RoperCenterforPublicOpinionResearch #CornellUniversity
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Looking for subnational public opinion data? 🗺️  The U.S. State Collection in Roper iPoll offers question-level polling constrained to specific states - ideal for comparative state politics and policy impact studies.
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Whether you're analyzing regional polarization or localized health policy responses, member institutions have full access to historical state-level datasets.
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We met some amazing new @Cornell Graduate students at the Fall Graduate Resource Fair in Barton Hall and introduced them to Roper iPoll. #WelcomeCornelians @CornellResearch @CornellGrad @CornellCAS
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Graduate research pro-tip: Save hours on secondary data prep with Roper iPoll⏱️ When searching, instantly filter search results by: Exact question-level variables, Availability of full microdata/dataset downloads, Specific survey organization (Gallup, Pew, NORC, etc.)
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Download clean dataset files directly into Stata, R, or SPSS without re-entering variable metadata. 🎥 Watch our tutorials & jumpstart your analysis: bit.ly/3s2vxma
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Roper iPoll offers over 80 years of polling data, providing economists with historical depth across macroeconomic timeframes. bit.ly/EconomyTopic
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Roper iPoll offers over 80 years of polling data, providing economists with historical depth across macroeconomic timeframes. bit.ly/EconomyTopic
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