To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates using the most recently available federal survey data, the Household Pulse Survey from May 25-June 7, 2021. This page includes an interactive map and datasets for download.
Methodological Description - To support state and local communication and outreach efforts, ASPE developed state, county, and sub-state level predictions of hesitancy rates using the most recently available federal survey data.
There has been a sustained focus on how to make better use of federal administrative data to conduct research and evaluation of government-funded programs in order to improve outcomes and efficiency for the people we serve. Research and evaluation are not esoteric pursuits separate from the business of program operations and strategy, but must go
A Compendium of Administrative and Survey Data Resources in the Administration for Children and Families
This compendium is an effort to understand and document the data collected by ACF that is or could be used for evidence-building purposes. It includes summaries of twelve major ACF administrative data sources and seven surveys.
This brief analyzes information on administrative data resources collected by the Administration for Children and Families (ACF). It explores how the data can be leveraged to improve evidence and research on ACF programs and beneficiaries. Key highlights include:
The purpose of this research project was to provide the Office of Science and Data Policy at ASPE with some informed observations concerning the use of new data sources and data management strategies in policy research, evaluation, and decision-making at the federal level. A secondary goal was to identify successful training models in data science
Final Report Volume I: Background Paper, Declining Response Rates in Federal Surveys: Trends and Implications
Over the last decade, survey response rates have been steadily declining, and this decline has raised concerns across the federal government regarding the quality and utility of national survey data. Response rates are commonly considered the most important indicator of the representativeness of a survey sample and overall data quality, and low re
HHS Action Plan to Reduce Racial and Ethnic Health Disparities: Implementation Progress Report 2011-2014
The U.S. Department of Health and Human Services Action Plan to Reduce Racial and Ethnic Health Disparities (HHS Disparities Action Plan) is the most comprehensive federal commitment to date for reducing, and eventually eliminating disparities in health and health care.
Federal agencies have a long history of releasing data to the public, and they also have a legal obligation to protect the confidentiality of the individuals and organizations from which the data were collected. Federal agencies have successfully balanced these two objectives for decades.
Alexander, J. Trent, Michael Davern, and Betsey Stevenson. “Inaccurate Age and Sex Data in the Census PUMS Files: Evidence and Implications.” Public Opinion Quarterly , vol. 74, no. 3, Fall 2010, pp. 551-569. Barth-Jones, Daniel C. “The ‘Re-identification of Governor William Weld’s Medical Information: A Critical Re-examination of Hea
If a dataset that is protected against disclosure can be described as one in which a user cannot determine anything about a given individual from the dataset that could not be determined without the dataset, then by the same principle, preserving utility could be described in the following terms: the data should be no less useful to the users than
A critical element in preparing a public use file of microdata is the assessment of disclosure risk, which may involve estimating the probability of re-identification. Often this is an iterative process, in which a preliminary file is tested and if the risk is determined to be too high, additional protective measures are applied. For the MASSC met
A 2005 National Academy of Sciences (NAS) panel report on expanding access to research data notes that “at present, the obligation to protect individual respondents falls primarily on those who collect the data, thereby creating a disincentive for providing access to other researchers” (National Research Council 2005).
Preventing re-identification is the primary focus of de-identification and the statistical disclosure limitation methods discussed in this section, but a secondary objective (or result, if not necessarily an objective) is to limit what an intruder might learn from an apparent re-identification. Techniques that alter data values or exchange values
Sweeney was able to re-identify a large proportion of the individuals in the Massachusetts hospital discharge data because the combination of ZIP code, sex, and date of birth in many cases pointed to unique individuals in the city of Cambridge voter registration records, which provided their names.
HIPAA codified a de-identification process for health records that includes the removal of 18 specific direct and indirect identifiers. 8 Following Sweeney’s successful re-identification of the Massachusetts governor in a file of hospital discharge data, the protections mandated by HIPAA went well beyond the simpler, informal de-identification
Public use microdata play a critical role in research and policy analysis. Exploratory research and many types of policy analysis do not lend themselves well to the conditions that govern restricted access as described above. The creation of public use data that protect the confidentiality of the subjects begins with de-identification, but dependi
A number of federal agencies allow users remote access to agency data that are not released on public use files. This can take a number of different forms. For example, the Census Bureau allows users to request tabulations from decennial census files that include more detail than the numerous tabulations that can be obtained from the bureau websit
Several federal agencies maintain RDCs, in which approved users can access agency data that are not released to the public. The data never leave the site, and output produced from data held in the RDC cannot be removed without a disclosure review, which can take different forms. For example, RDC staff may be authorized to review output, or the out