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Luna, Andrew L.; Brennan, Kelly A. – Association for Institutional Research (NJ1), 2009
This study uses a regression model to determine if a significant difference exists between the actual budget allocation that an academic department received and the model's predicted budget allocation for that same department. Budget data from a Southeastern Master's/Comprehensive state university were used as the dependent variable, and the…
Descriptors: Budgeting, Resource Allocation, Multiple Regression Analysis, Departments
Luperchio, Dan – Council for Advancement and Support of Education, 2009
This technical report, produced in partnership by the Council for Advancement and Support of Education (CASE) and SPSS Inc., explores the promise of data mining alumni records at educational institutions. Working with individual alumni records from The Johns Hopkins Zanvyl Krieger School of Arts and Sciences, a predictive regression model is…
Descriptors: Information Retrieval, Data Collection, Data Analysis, Models

Center for Education Statistics (ED/OERI), Washington, DC. – 1988
The Center for Education Statistics (CES) forecasts that current expenditures in public elementary and secondary schools will increase 3.5 percent from school year 1986-87 to school year 1987-88. Current expenditures, which increased 22.6 percent from 1981-82 to 1986-87, are projected to increase 16.4 percent from 1986-87 to 1991-92. One table and…
Descriptors: Educational Finance, Elementary Secondary Education, Expenditure per Student, Government Publications
Tang, Thomas Li-Ping; Tang, David Shin-Hsiung; Tang, Cindy Shin-Yi – International Journal of Educational Management, 2004
This research employs institutional characteristics and market-related factors to predict undergraduate students' tuition at 190 private colleges and universities in the USA. Results showed that the strongest correlations among variables for college tuition were reputation ranking and SAT scores. Results of a hierarchical multiple regression…
Descriptors: Undergraduate Students, Private Colleges, Reputation, Institutional Characteristics