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Figlio, David; Karbownik, Krzysztof; Salvanes, Kjell – Education Finance and Policy, 2017
Thanks to extraordinary and exponential improvements in data storage and computing capacities, it is now possible to collect, manage, and analyze data in magnitudes and in manners that would have been inconceivable just a short time ago. As the world has developed this remarkable capacity to store and analyze data, so have the world's governments…
Descriptors: Educational Research, Data, Information Utilization, Management Information Systems
Nutt, A. T.; Batsell, R. R. – 1973
Examples of the use of Multiple Linear Regression (MLR) techniques are presented. This is done to show how MLR aids data processing and decision-making by providing the decision-maker with freedom in phrasing questions and by accurately reflecting the data on hand. A brief overview of the rationale underlying MLR is given, some basic definitions…
Descriptors: Data Analysis, Data Processing, Decision Making, Decision Making Skills
Baltes, Kenneth G.; Hendrix, Vernon L. – 1978
Two recent developments in management information system technology and higher education administration have brought about the need for this study, designed to develop a methodology for revealing a relational model of the data base that administrators are operating from currently or would like to be able to operate from in the future.…
Descriptors: Classification, Cluster Analysis, College Administration, Data Analysis
Dan, Robert L. – NACUBO Professional File, 1975
A management data base is seen as essential for a management information system, program budgeting, program costing, management by objectives, program evaluation, productivity measures, and accountability in institutions of higher education. The necessity of a management data base is addressed, along with the benefits and limitations it may have…
Descriptors: Accountability, Computer Science, Data Analysis, Data Processing