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Meholick, Sarah; Honey, Rose; LaTurner, Jason – National Center for Education Statistics, 2023
Statewide longitudinal data systems (SLDSs) can enable researchers, policymakers, and practitioners to identify and understand important relationships and trends across the education-to-workforce continuum. A well-developed SLDS can increase state and territory governments' ability to establish more informed and equitable policies, enable agency…
Descriptors: Longitudinal Studies, State Programs, State Policy, Data Collection
Data Quality Campaign, 2014
District and state data systems are constructed to ensure that individuals can access only the data that are appropriate for their role. Still, questions from the public about how these data systems work and how student privacy is protected have been increasing. A recurring concern is the feared existence of a "permanent record"--a…
Descriptors: Data Collection, Student Records, Data Processing, Access to Information
Sabourin, Jennifer; Kosturko, Lucy; FitzGerald, Clare; McQuiggan, Scott – International Educational Data Mining Society, 2015
While the field of educational data mining (EDM) has generated many innovations for improving educational software and student learning, the mining of student data has recently come under a great deal of scrutiny. Many stakeholder groups, including public officials, media outlets, and parents, have voiced concern over the privacy of student data…
Descriptors: Privacy, Student Records, Data Processing, Data Collection
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Koyama, Jill P. – Journal of Education Policy, 2011
This article ethnographically examines the ways in which No Child Left Behind (NCLB) links local practices to the centralized processing of data through its narrowing of procedures and measurements aimed at accountability. Framed by actor-network theory, it draws upon data consistently collected between June 2005 and October 2008, and then…
Descriptors: Federal Legislation, Ethnography, Accountability, Data Collection
Guthrie, James W., Ed.; Kirst, Michael W., Ed. – 1984
The policy papers included in this package address various facets of the topic of data-based accountability for education in California. Guy Benveniste of the University of California, Berkeley, School of Education explores the underlying issue of accountability and describes the implications of different types of accountability measures. In…
Descriptors: Accountability, Data Collection, Data Processing, Educational Assessment
Curry, Denis J. – 1978
This paper reviews the question of the cost and benefits of data for the analysis of state policy questions, and concludes that in the abstract the question cannot be answered; rather, it must be considered on a continuing basis whenever data is to be collected in the support of baseline studies or special projects. The paper suggests six criteria…
Descriptors: Accountability, Cost Effectiveness, Criteria, Data Analysis
Sprecher, Penny L.; Deasy, Patrick J. – Journal of College Student Personnel, 1982
Describes the development of a data acquisition system to interpret clientele data at a college counseling center. Describes reports generated by the system. Discusses benefits of the system including time efficiency, detection of changing trends and data availability. (RC)
Descriptors: Accountability, Computer Oriented Programs, Counseling Services, Data Collection
Campbell, Michael D. – 1995
Texas' and Oregon's experiences in building a performance measurement and reporting information system (PMRIS) for their adult literacy programs were compared. The Oregon PMRIS development effort was a multiyear project involving 10 programs and calling for collection/reporting of data regarding 10 of 272 benchmarks recommended by the Oregon…
Descriptors: Accountability, Adult Basic Education, Adult Literacy, Agency Cooperation
Advanced Technology, Inc., Reston, VA. – 1983
The issues, options, and procedures for annually measuring overall payment error in the Pell Grant program are specified in detail. Guidelines for establishing a definition of Pell Grant payment error are provided, and the design issues related to error measurement are examined. A comparison is made of options for selecting a study sample and for…
Descriptors: Accountability, Compliance (Legal), Costs, Data Collection