ABC News Clinton Credibility Poll, August 1994 (ICPSR 3851)
American National Election Study: 2016 Pilot Study (ICPSR 36390)
These data are being released as a preliminary version to facilitate early access to the study for research purposes. This collection has not been fully processed by ICPSR at this time, and data are released in the format provided by the principal investigators. As the study is processed and given enhanced features by ICPSR in the future, users will be able to download the updated versions of the study. Please report any data errors or problems to user support, and we will work with you to resolve any data-related issues.
The American National Election Study (ANES): 2016 Pilot Study sought to test new instrumentation under consideration for potential inclusion in the ANES 2016 Time Series Study, as well as future ANES studies. Much of the content is based on proposals from the ANES user community submitted through the Online Commons page, found on the ANES home page. The survey included questions about preferences in the presidential primary, stereotyping, the economy, discrimination, race and racial consciousness, police use of force, and numerous policy issues, such as immigration law, health insurance, and federal spending. It was conducted on the Internet using the YouGov panel, an international market research firm that administers polls that collect information about politics, public affairs, products, brands, as well as other topics of general interest.
ANES Time Series Cumulative Data File (1948-2008) (ICPSR 35100)
ANES Time Series Cumulative Data File (1948-2012) (ICPSR 8475)
CBS News/New York Times National Poll, June #3, 2011 (ICPSR 33967)
CBS News/New York Times Presidential Election Poll #2, October 1996 (ICPSR 4514)
A systematic discourse analysis of how U.S. political leaders frame disability: Implications for students with disabilities (ICPSR 307656)
This study examined how U.S. political leaders publicly framed disability during calendar year 2025, using a systematic discourse analysis of public statements and federal legislation. It also examined how this discourse was reflected in federal education policy, including statements by the Secretary of Education and education-related bills.
The study analyzed 121 public statements about people with disabilities made by White House and Cabinet officials, and 32 federal bills introduced in 2025 that could affect the rights, services, or educational opportunities of individuals with disabilities. Statements were identified through a two-stage process that combined a custom Python-based web-scraping tool, which extracted verbatim, attributed quotations from news articles, press releases, interview transcripts, official speeches, and social media posts using the OpenAI GPT-4 API, with manual verification searches conducted in ChatGPT Plus and Perplexity AI Pro. Federal bills were identified through Congress.gov. All statements were reviewed by the authors to confirm accuracy, attribution, and date. Each statement and bill was independently scored by two human coders and by GPT-4 using an author-developed four-point rubric grounded in the social and human rights models of disability, ranging from 1 (dehumanizing) to 4 (affirming).
The data contain one record per statement, including the speaker's name and title, date, verbatim quotation, source, context, an analysis of the framing, a score from 1 (dehumanizing) to 4 (affirming), and the rationale for the score. The bills data are available on the project website and are not included in this deposit.
The study was approved by the university Institutional Review Board (March 2025) and was preregistered on the Open Science Framework (https://osf.io/hbfe5/).