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Bryant, Matt – Association for Institutional Research, 2021
Survey methodology is the dominant approach among universities in the United States for reporting employment outcomes for recent graduates. However, past studies have shown that survey methodology may yield upwardly biased results, which can result in overreporting of employment rates and salary outcomes. This case study describes the development…
Descriptors: Data Collection, Data Use, Labor Force, Institutional Research
National Forum on Education Statistics, 2021
"The Forum Guide to Strategies for Education Data Collection and Reporting (SEDCAR)" was created to provide timely and useful best practices for education agencies that are interested in designing and implementing a strategy for data collection and reporting, focusing on these as key elements of the larger data process. It builds upon…
Descriptors: Data Collection, Educational Research, Statistical Data, Data Analysis
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Dan Goldhaber; Grace T. Falken; Roddy Theobald; Maia Goodman Young – Education Next, 2024
This article evaluates the applicability at the state and district level of web scraping--an automated data-extraction technique that regularly exports and refreshes data from the Internet--to provide a low-cost way to get a close-to-real-time snapshot of the demand side of the teacher labor market. Once set up, web scraping can quickly build and…
Descriptors: Teacher Shortage, Data Collection, Teacher Supply and Demand, Labor Market
National College Attainment Network, 2021
Tracking and using data to inform decisions pays off for college success programs on multiple levels. Having data allows program staff to monitor the progress of individual students and tailor support to their particular needs. It enables staff to understand the effectiveness of program activities and make improvements as necessary. Most…
Descriptors: College Programs, Success, Data Collection, Data Analysis
Nancy Smith; Claus von Zastrow – Education Commission of the States, 2022
When the COVID-19 pandemic drove schools online in March 2020, state education leaders were left without access to data needed to understand how best to support students. The pandemic revealed the strengths and limitations of state education data systems while inspiring new strategies for collecting, reporting and using data. In 2021, DataSmith…
Descriptors: State Departments of Education, Data, Data Collection, Pandemics
Institute for Women's Policy Research, 2021
Head Start, the largest early learning program in the United States, provides free federally funded, high-quality early learning for children alongside wraparound supports for parents. Its mission includes helping families achieve self-sufficiency and economic security, such as by helping parents access and succeed in college and workforce…
Descriptors: Partnerships in Education, Preschool Education, Disadvantaged Youth, College School Cooperation
Siddiqi, Javaid; Sims, Patrick C.; Goff, Allison L. – Hunt Institute, 2019
The rise of data collection in the public and private sectors has presented policymakers with an unprecedented opportunity to leverage vast amounts of data to create more efficient systems, improve program performance, and drive equitable outcomes. Empowering policymakers and practitioners with functional access to accurate data has the potential…
Descriptors: Longitudinal Studies, Data Collection, Data Analysis, Data Use
Perez, Zeke, Jr.; von Zastrow, Claus – Education Commission of the States, 2023
Data governance is a core obligation for leaders and staff across any agency that collects, stores or uses individuals' data. It ensures that individuals' personal information is protected, and can support the continuous improvement of data quality and use, particularly when it includes well-defined processes, structure and responsibilities.…
Descriptors: Governance, Data Use, Privacy, Information Management
National Forum on Education Statistics, 2021
The work of the National Forum on Education Statistics (Forum) is a key aspect of the National Cooperative Education Statistics System (Cooperative System). The Cooperative System was established to produce and maintain, with the cooperation of the states, comparable and uniform education information and data that are useful for policymaking at…
Descriptors: Data Collection, Information Storage, Information Management, Data Use
Advance CTE: State Leaders Connecting Learning to Work, 2020
One of the biggest challenges that states and local intermediaries face in setting up and scaling high-quality youth apprenticeships is gathering relevant, accurate and actionable data. High-quality data is an essential ingredient for a strong youth apprenticeship program because it equips state and local leaders to evaluate impact, monitor…
Descriptors: Vocational Education, Youth Programs, Apprenticeships, Data Collection