Language Development of Non-verbal Children Age 3 Years through 7 Years, 2007 to 2012 [Kansas City Metro Area] (ICPSR 36472)
The Language Development of Non-verbal Children Age 3 Years through 7 Years in the Kansas Metro Area is one of the three projects in the Communication of People with MR, 2006 to 2012 Series, which focuses on identifying participant variables that predict success in increasing communication skills of individual with intellectual disabilities. Data for Dataset 1 of this study were collected to illustrate how acquisition of symbolic communication using Voice Output Communication Aid (VOCA) affects the development of successful communication exchanges. For the data collection of Dataset 1, children were recruited by contacting school districts in and near the Kansas City metropolitan area, specifically, in Topeka, Kansas, and Wichita, Kansas. Teachers and speech-language pathologists were asked to nominate any children meeting specific criteria. The 93 children who were enrolled were administered the Mullen Scales of Early Learning and the Preschool Language Scale. A structured play assessment was also administered.
Subsequently, data for Dataset 2 was collected to analyze and compare 19 Spanish-speaking children to the original sample. Both data files contain the results of Complexity of Communication Scale, a measure developed by the Communication of People with MR project.
Learning Deficiencies Among Adult Inmates, 1982: Louisiana, Pennsylvania, and Washington (ICPSR 8359)
Project on Human Development in Chicago Neighborhoods (PHDCN): Health Screen, Wave 2, 1997-2000 (ICPSR 13629)
Project on Human Development in Chicago Neighborhoods (PHDCN): School Screen, Wave 1, 1994-1997 (ICPSR 13600)
Project on Human Development in Chicago Neighborhoods (PHDCN): School Screen, Wave 3, 2000-2002 (ICPSR 13739)
RAND Center for Population Health and Health Disparities (CPHHD) Data Core Series: Disability, 2000 [United States] (ICPSR 27862)
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/).