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Richard Hendra; Johanna Walter; Audrey Yu – MDRC, 2024
Government agencies collect vast amounts of administrative data in their day-to-day activities, primarily for program operations. But the information is less often used as a research tool or fully harnessed for its evidence-building potential. This brief is the fourth in a series of publications from MDRC about the Temporary Assistance for Needy…
Descriptors: Data Collection, Data Use, Evidence Based Practice, Program Administration
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Romano, Richard M.; D'Amico, Mark M. – Change: The Magazine of Higher Learning, 2021
Multiple studies show that outcomes, whether they be better degree completion rates or successful short-term workforce training, are negatively affected by inadequate funding (Kahlenberg, 2015). To bolster their case for underfunding, researchers and college advocacy groups produce studies that rely on an important federal dataset--the Integrated…
Descriptors: Data, Federal Programs, Community Colleges, Full Time Students
Natalie Reid; Xinwei Li; Will Ratner; Victoria Sims; Charlotte Cabili; Tutrang Nguyen; Judy Cannon; Jeani Choe; Xiaofan Sun; Addison Larson; Chidinma Nwankwo; Jeff Harrington; Barbara Carlson; Elizabeth Doran; Sara Bernstein – Office of Planning, Research and Evaluation, 2024
This report includes information on the design and methodology of the 2021-2022 Study of Family and Staff Well-Being in Head Start Family and Child Experiences Survey Programs (the 2021-2022 Study) and presents key findings from the study's spring 2022 data collection with Head Start program directors, center directors, and teachers. The 2021-2022…
Descriptors: Preschool Education, Children, Early Intervention, Family (Sociological Unit)
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de Alteriis, Martin – American Journal of Evaluation, 2020
This article examines factors that could have influenced whether evaluations of U.S. government--funded foreign assistance programs completed in 2015 had considered unintended consequences. Logit regression models indicate that the odds of considering unintended consequences were increased when all or most of seven standard data collection methods…
Descriptors: Federal Programs, International Programs, Program Evaluation, Influences
Gleason, Stacy; Beckerman-Hsu, Jake; Gabor, Vivian; Blitstein, Jonathan; Crocker, Jarle; Hansen, Dani – SNAP, 2021
The Supplemental Nutrition Assistance Program (SNAP) is the country's largest food assistance program, providing more than $6.2 billion in supplemental benefits to over 42 million people with low incomes to purchase groceries each month. The SNAP Nutrition Education and Obesity Prevention Services grant program (SNAP-Ed) equips people eligible for…
Descriptors: Nutrition, Federal Programs, Welfare Services, Data Collection
Pretlow, Josh; Dunlop Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2021
We cannot continue to ask students -- and their families -- to make one of the largest and most important investments of their lives without clearer information about what their time and money will yield. In partnership with RTI International (RTI), operating in an independent capacity, IHEP is gathering expert insights needed to support making…
Descriptors: College Students, Data, Information Networks, Federal Programs
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Caskey, Mary; Christiansen, Bonnie; Hakes, Stephanie; Held, Patti; Hyunjun, Kim; De La Rosa Mateo, Carolina – Journal of Extension, 2019
Reporting requirements for capturing data on the delivery of Supplemental Nutrition Assistance Program Education (SNAP-Ed) have evolved. University of Minnesota (U of M) Extension developed the SNAP Education Evaluation and Database System (SEEDS) to capture unduplicated participant information for SNAP-Ed programming conducted by U of M Extension…
Descriptors: Extension Education, Program Evaluation, Databases, Data Collection
Isaac, James; Pretlow, Josh; Cheng, Diane; Roberson, Amanda Janice – Institute for Higher Education Policy, 2022
We cannot continue to ask students -- and their families -- to make one of the largest and most important investments of their lives without clearer information about what their time and money will yield. Fortunately, support is broad across the country and across the political spectrum for a federal student-level data network (SLDN), which would…
Descriptors: College Students, Information Networks, Federal Programs, Higher Education
Jing Tang; Kara Ulmen; Sara Amadon; Katie Richards; Gabriella Guerra; Ja’Chelle Ball; Carlise King; Dale Richards – Child Trends, 2024
The preschool landscape is complex, consisting of several publicly funded programs supported by federal, state, and local funds. Included in this landscape is Head Start, a critical early childhood education (ECE) program that serves--in every state and territory--young children in families with incomes at or below the federal poverty line,…
Descriptors: Access to Education, Low Income Students, Social Services, Federal Programs
Charlotte Cabili; Natalie Reid; Carla Chavez; Aden Bhagwat; Davis Straske; Will Ratner; Victoria Sims; Xinwei Li; Tutrang Nguyen; Xiaofan Sun; Jeani Choe; Jeff Harrington; Addison Larson; Judy Cannon – Office of Planning, Research and Evaluation, 2024
This report includes information on the 2021-2022 Study of Family and Staff Experiences in American Indian and Alaska Native Head Start Family and Child Experiences Survey Programs (the 2021-2022 Study). The 2021-2022 Study collected data from children's parents, teachers, center directors, and program directors in Region XI Head Start programs in…
Descriptors: Federal Programs, Low Income Students, Social Services, Children
Tutrang Nguyen; Davis Straske; Natalie Reid; Elizabeth Doran; Charlotte Cabili; Carla Chavez; Aden Bhagwat; Jeffrey Harrington; Addison Larson; Judy Cannon; Victoria Sims; Barbara Carlson; Ashley Kopack Klein; Sara Bernstein – Office of Planning, Research and Evaluation, 2024
The 2021-2022 Study builds on the Head Start Family and Child Experiences Survey (FACES). This report includes information on the 2021-2022 Study design and presents key findings from the study's spring 2022 data collection on Head Start children and families. The tables in this report describe children and families in spring 2022 as COVID-19…
Descriptors: Surveys, Family (Sociological Unit), Experience, Early Intervention
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Cornman, Stephen Q.; O'Reilly, Nora; Ampadu, Osei; Caskey, Melinda; Vidal, Phil – National Center for Education Statistics, 2022
In 2019, the National Center for Education Statistics (NCES) began exploratory data collection for the School Pension Survey (SPS). The SPS is a new data collection of elementary/secondary school teacher pension data collected at the school district level. The SPS was developed primarily in response to public demand for data on teacher and other…
Descriptors: Retirement Benefits, Teacher Retirement, Elementary School Teachers, Secondary School Teachers
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Stewart, Joshua; Joyce, Jeanette; Haines, Mckenzie; Yanoski, David; Gagnon, Douglas; Luke, Kyle; Rhoads, Christopher; Germeroth, Carrie – Regional Educational Laboratory Central, 2021
Program evaluation is important for assessing the implementation and outcomes of local, state, and federal programs. The Program Evaluation Toolkit provides tools and resources to support individuals responsible for evaluating and monitoring local, state, or federal programs. The toolkit comprises eight modules that cover critical steps in program…
Descriptors: Program Evaluation, Program Effectiveness, State Programs, Federal Programs
Isaac, James; Velez, Erin; Roberson, Amanda Janice – Institute for Higher Education Policy, 2023
Students, families, colleges, and lawmakers need clearer information on postsecondary outcomes to make informed decisions. By leveraging data available at institutions and federal agencies, a nationwide student-level data network (SLDN) would close information gaps that persist in our higher education landscape to answer critical questions about…
Descriptors: College Students, Data, Information Networks, Program Design
Ortiz, Anna Maria – US Government Accountability Office, 2019
The 101 Historically Black Colleges and Universities (HBCUs) play an important role in higher education and in their local and regional economies. Among African Americans who obtained a doctorate in science, technology, engineering, or mathematics in 2005-2010, more than one-third earned their undergraduate degrees from an HBCU. The Government…
Descriptors: Black Colleges, Partnerships in Education, Entrepreneurship, Public Policy
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