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State Longitudinal Data Systems: Worth the Legislative Investment to Connect Workforce and Education
Anne Wicks; Amanda Wirtz – George W. Bush Institute, 2024
Determining whether a state's young people are on track for a life of opportunity is a difficult task for governors and state leaders. States can be both awash in data and unable to easily access and use that data to inform policy. State longitudinal data systems that meaningfully connect workforce, higher education, K-12, and early childhood…
Descriptors: State Legislation, Data Analysis, Learning Analytics, Information Systems
von Zastrow, Claus; Roberts, Maxine T.; Squires, John – Education Commission of the States, 2021
State education data systems help policymakers use data to evaluate the impact of their efforts to improve education. By disaggregating the data -- that is, breaking it out by different student subgroups -- policymakers can ensure that their efforts address the needs of students who have been traditionally underserved in educational settings. Yet…
Descriptors: Data Analysis, Student Characteristics, Data Collection, Barriers
Data Quality Campaign, 2018
Alignment between K-12 education and the workforce is critical because jobs are changing. Students must be prepared not only for the jobs of today but also for the jobs of the future. Securely linking data between state K-12 and workforce data systems can create a bridge between these agencies as they develop shared career readiness goals for…
Descriptors: Alignment (Education), Elementary Secondary Education, Labor Force, Education Work Relationship
Data Quality Campaign, 2017
When students, parents, educators, and partners have the right information to make decisions, students excel. By forming research partnerships, state education agencies (SEAs), policymakers, practitioners, and education researchers at universities and other research institutes can work together to use research to provide the best education…
Descriptors: Data, Information Utilization, Partnerships in Education, Educational Research
Sugarman, Julie – Migration Policy Institute, 2018
In recent years, education data have become both more easily accessible and more important than ever to decisions about K-12 policies and practice. Under the "Every Student Succeeds Act" (ESSA), states are required to publish data on how students, including English Learners (ELs), are performing in areas such as reading, math, and…
Descriptors: English Language Learners, Data Collection, Data Analysis, Student Characteristics
American Institutes for Research, 2014
This tool and its supporting resources are intended to help education leaders understand and assess equitable access data to support a root-cause analysis and, ultimately, draft a State Plan to Ensure Equitable Access to Excellent Educators. The activities in this tool introduce metrics, address staff capacity for analyzing equitable access data,…
Descriptors: Data, Access to Information, State Policy, Guidelines
Data Quality Campaign, 2014
Better information about how investments in education are influencing outcomes for students, schools, and districts is needed. The growing hunger for using financial data to answer more and evolving questions will require changes in systems, policy, practice, and culture. The problem at hand is that both people and systems have limited capacity to…
Descriptors: Success, Data, Investment, Information Utilization
National Forum on Education Statistics, 2012
Education data are growing in quantity, quality, and value. When appropriately used to guide action, data can be a powerful tool for improving school operations, teaching, and learning. Education stakeholders who possess the knowledge, skills, and abilities to appropriately access, analyze, and interpret data will be able to use data to take…
Descriptors: Educational Indicators, Data Interpretation, Information Utilization, Data Analysis
Cargill, Jennifer – Wilson Library Bulletin, 1987
Provides a detailed guide to preparing library budgets and describes several types of budgets. Steps to preparing a final document are outlined, including identifying objectives, assessing and prioritizing needs, data collection and analysis, presentation to the funding agency, and evaluation and monitoring of the final budget. (CLB)
Descriptors: Accounting, Budgeting, Cost Effectiveness, Data Analysis
Lachat, Mary Ann – 2001
High schools are increasingly expected to use data for improvement and to provide evidence that programs and instructional practices are preparing all students to develop essential knowledge and skills. This publication describes how schools can develop the capacity to analyze and use data as a core component of improving secondary schools using…
Descriptors: Academic Achievement, Data Analysis, Data Collection, Data Interpretation
Deboeck, Guido; Kinsey, Bill – 1980
The study summarizes discussions and conclusions of the Regional Workshop on Monitoring and Evaluation of Rural Development Projects in East Africa (Nairobi, Kenya, April 1979), whose purpose was to share lessons learned from field experiences in managing information for rural development. An initial section summarizes information in papers…
Descriptors: Administrator Role, Change Agents, Data Analysis, Data Collection
McKee, William L.; Froeschle, Richard C. – 1985
This monograph is designed to provide nontechnical users, including policymakers, program planners, curriculum developers, career counselors, and job development and placement specialists, with an introduction to applied labor market analysis of local conditions. Addressed in the individual chapters of the guide are the following topics: the…
Descriptors: Career Counseling, Data Analysis, Data Collection, Economic Factors
Condelli, Larry; Castillo, Laura; Seburn, Mary; Deveaux, Jon – 2002
This guide for improving the quality of National Reporting System for Adult Education (NRS) data through improved data collection and training is intended for local providers and state administrators. Chapter 1 explains the guide's purpose, contents, and use and defines the following components of data quality: objectivity; integrity;…
Descriptors: Accountability, Adult Education, Audits (Verification), Compliance (Legal)