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Download full textCornman, Stephen Q.; Young, Jumaane; Herrell, Kenneth C. – National Center for Education Statistics, 2012
The Common Core of Data (CCD) is an annual collection of public elementary and secondary education data by the National Center for Education Statistics (NCES) in the Institute of Education Sciences of the U.S. Department of Education. The U.S. Census Bureau conducts the data collection for the finance surveys on behalf of NCES. State education…
Descriptors: Charter Schools, Vocational Education, Expenditures, Public Education
Johnson, Frank; Zhou, Lei; Nakamoto, Nanae – National Center for Education Statistics, 2011
The Common Core of Data (CCD) is an annual collection of public elementary and secondary education data by the National Center for Education Statistics (NCES) in the Institute of Education Sciences of the U.S. Department of Education. The U.S. Census Bureau conducts the data collection for the finance surveys on behalf of NCES. State education…
Descriptors: Expenditures, Charter Schools, Educational Finance, State Departments of Education
Peer reviewedHoenack, Stephen A.; Weiler, William C. – Journal of Human Resources, 1975
The paper explores the analytical issues which a university would face in implementing a cost-related tuition policy in which students pay more nearly equal percentages of their instructional costs. It also presents empirical estimates of the impact of implementing such a policy using data from the University of Minnesota. (Author/BP)
Descriptors: Data Collection, Economic Research, Educational Finance, Enrollment Rate
What Can We Learn from State Data Systems about the Cost of Special Education? A Case Study of Ohio.
Chambers, Jay G.; Wolman, Jean M. – 1998
Using Ohio as a case study, this paper explores what can be learned from state data systems about spending on special education. The analyses and discussion in this paper use data sets for the 1995-96 school year provided by the Ohio Department of Education. The case study examined factors that need to be considered in measuring special education…
Descriptors: Case Studies, Data Analysis, Data Collection, Disabilities
Chambers, Jay G.; Parrish, Thomas B.; Lieberman, Joanne C.; Wolman, Jean M. – CSEF Brief, 1998
This brief summarizes data from a 1994-95 survey of the states on special education expenditures in the U.S. and analyzes other extant cost data that adjust for inflation and consider rising special education enrollments. The study estimates that the 1995-96 national expenditure for special education was about $32.6 billion (compared to $19.3…
Descriptors: Data Collection, Disabilities, Educational Finance, Elementary Secondary Education
Lutz, John E.; And Others – 1978
The degree of success of the computerized Child-Based Information System (CBIS) was analyzed in two areas--presenting, delivering, and managing a developmental curriculum; and recording, filing, and monitoring child tracking data, including requirements for Individualized Education Plans (IEP's). Preschool handicapped and high-risk children and…
Descriptors: Bibliographies, Computer Managed Instruction, Data Collection, Educational Objectives
Evans, Francis B.; Harmon, Judson A. – 1978
During the fall of 1976, the Wisconsin Department of Public Instruction (DPI) initiated a statewide study of educational needs as they related to the missions of the DPI. Part of this study, called the Statewide Assessment of Educational Needs (SWAN), was a citizens' opinion poll designed to review state-level priorities. Three topics were…
Descriptors: Community Attitudes, Community Surveys, Cost Effectiveness, Data Collection
Molnar, Daniel; Pesut, Robert – 1975
The study attempted to determine the feasibility of performing a cost-effectiveness analysis comparing the cooperative method to methods which do not use work experience in vocational training. Twelve school districts in Minnesota, North Carolina, and Ohio provided data for the study, involving the design of data collection instruments for cost…
Descriptors: Comparative Analysis, Cooperative Programs, Cost Effectiveness, Data Collection
