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Download full textvon 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
Advanced Technology, Inc., Reston, VA. – 1985
Efforts of the Department of Education (ED) to simplify the Pell Grant formula by reducing the number of data elements used to calculate awards (i.e., data element reduction) are evaluated. A framework is developed to assess the critical characteristics of individual data elements, to eliminate elements from the formula, and to develop proposals…
Descriptors: Computation, Data Collection, Efficiency, Eligibility
Advanced Technology, Inc., Reston, VA. – 1983
The extent to which colleges are complying with the 1982-1983 Pell Grant validation requirements was assessed. Fall 1982 financial aid data were drawn from a representative sample of 3,490 Pell Grant recipients at 317 colleges that are part of the Regular Disbursement System. Key findings show: (1) the vast majority of institutions collect the…
Descriptors: Accountability, Compliance (Legal), Data Collection, Delivery Systems
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
