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Peer reviewedSauer, Tim – College and Research Libraries, 1978
Describes a statistical model that can predict, throughout the fiscal year, the amount of money that will be spent on firm orders against a given fund, thereby predicting the number of orders that must still be placed to totally spend but not overspend that fund. Data tables are included. (Author/JD)
Descriptors: Libraries, Library Acquisition, Library Expenditures, Models
Peer reviewedRand, Per – Scandinavian Journal of Educational Research, 1973
In this paper an effort is made to seek within John W. Atkinson's own thinking on achievement motivation a more parsimonious explanation of the assumed curvilinearity between motive strength and performance. (Author/RK)
Descriptors: Academic Achievement, Elementary School Students, Interaction, Models
Ajzen, Icek; Fishbein, Martin – J Exp Soc Psychol, 1969
Descriptors: Attitudes, Behavior Patterns, Behavior Theories, Beliefs
Kang, Jong Hoa – 1979
The problem of forecasting monthly demands for library network services is considered in terms of using forecasts as inputs to policy analysis models, and in terms of using forecasts to aid in the making of budgeting and staffing decisions. Box-Jenkins time-series methodology, adaptive filtering, and regression approaches are examined and compared…
Descriptors: Computer Programs, Interlibrary Loans, Library Networks, Library Services
Peer reviewedOttensmann, John R. – Library & Information Science Research, 1995
Describes the development of a gravity model based upon principles of spatial interaction to predict the circulation of libraries in the Indianapolis-Marion County Public Library (Indiana). The model effectively predicted past circulation figures and was tested by predicting future library circulation, particularly for a new branch library.…
Descriptors: Branch Libraries, Futures (of Society), Gravity (Physics), Library Circulation
Blake, R. John; Robertson, Leon B. – 1975
An accurate forecast of the student demand by level on the academic departments of an institution is vital for budget and financial planning decisions, for faculty workload scheduling, and for physical facility planning. Many methods have been used to forecast this demand, ranging from "seat of your pants" guessing to highly complex…
Descriptors: Bibliographies, Comparative Analysis, Departments, Educational Assessment
Peer reviewedBurrell, Quentin L. – Journal of Documentation, 1987
Describes a circulation model for academic research libraries which uses the mixed Poisson model, incorporating ageing of library materials, to predict future use of monographs and to suggest weeding procedures based on frequency of circulation. Longitudinal studies are examined and statistical details are appended. (Author/LRW)
Descriptors: Academic Libraries, Graphs, Higher Education, Library Circulation
Peer reviewedOman, Paul W. – AEDS Journal, 1986
Describes a study of 38 students at Eastern Oregon State College which identified mathematics proficiency as the key student characteristic leading to successful completion of computer science courses, and developed a model that accounts for 82 percent of the variation in students' final grades in computer courses for use by advisers. (LRW)
Descriptors: Academic Achievement, Academic Advising, Analysis of Variance, Computer Science Education
Deane, Robert T.; And Others – 1977
The development of econometric models and a data base to predict the responsiveness of arts institutions to changes in the economy is reported. The study focused on models for museums, theaters (profit and non-profit), symphony, ballet, opera, and dance. The report details four objectives of the project: to identify useful databases and studies on…
Descriptors: Arts Centers, Cultural Centers, Dance, Databases
Fernandez, Luis – 1978
Based on the assumption that during the next quarter century the academic labor market will be chronically depressed, a project was undertaken to create models for projecting college faculty demographics. In this report the statistical models and the results of their application are explained in detail, including extensive statistical tables.…
Descriptors: Age, Career Change, College Faculty, Demand Occupations


