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Peer reviewedJones, W. P. – Journal of Visual Impairment and Blindness, 1991
A model is proposed for the clinical synthesis of data from psychological tests of persons with visual impairments. The model integrates the concepts of the ideal type and Bayesian probability and compares actual test scores with ideal scores through use of a pattern similarity coefficient. A pilot study with Business Enterprise Program operators…
Descriptors: Business Education, Clinical Psychology, Models, Predictive Measurement
Peer reviewedMorris, John D.; And Others – Journal of Experimental Education, 1991
Classification accuracies of models for predicting later high school dropouts from data available in student records for grades 4 through 8 were examined for 503 dropouts and 282 persisters (nondropouts) in Florida. Separate prediction models for each grade level have practical importance; implications for dropout prediction are discussed. (SLD)
Descriptors: Classification, Dropouts, Elementary School Students, Elementary Secondary Education
Creemers, Bert; And Others – 1992
An overview of national and international research on school effectiveness is provided in this paper. Following an introduction, the first section examines some national studies, with a focus on the differences in empirical evidence for effective school factors. These studies are similar in that they are outcome-oriented, seek factors of school…
Descriptors: Educational Assessment, Effective Schools Research, Elementary Secondary Education, Foreign Countries
Campbell, William E.; Doan, Henry M. – 1982
A model and implementation process is presented for projecting student headcount and credit hour and contact hour enrollment for each academic area and all areas aggregated by semester and fiscal year for each campus of Montgomery College, Maryland. The projection model is suggested as a managerial tool to assist the college's management to…
Descriptors: College Students, Credit Courses, Credits, Enrollment Projections
Peer reviewedBrazziel, William F. – Journal of Higher Education, 1987
A study that used the new U.S. Census data on participation rates to develop a model for national and state forecasting for enrollment of older students is discussed. Data useful in estimates of institutional market share were also developed. (Author/MLW)
Descriptors: Adult Students, Census Figures, College Attendance, College Students
Peer reviewedOtt, Mary Diederich – Research in Higher Education, 1988
Logistic regression was employed to analyze predictors of academic performance (academic dismissal versus satisfactory performance) for first-time freshmen after one semester in an eastern state university. The analyses indicated that academic performance was highly related to high school academic grade point average. (Author/MLW)
Descriptors: Academic Achievement, Academic Failure, College Freshmen, Expulsion
Peer reviewedWeiler, William C. – Research in Higher Education, 1987
Studies of enrollment demand assume that public institutions accept all eligible applicants. If enrollments are limited by institutional constraints on the supply of places, another approach to estimating student demand behavior is needed. A model that explains the determination of enrollments in these cases is presented. (Author/MLW)
Descriptors: College Admission, College Attendance, Data Analysis, Educational Demand
Peer reviewedLunneborg, Clifford E. – Educational Evaluation and Policy Analysis, 1982
A decision-making or utility theory model (which deals effectively with affirmative action goals and allows standardized tests to be placed in the service of those goals) is discussed as an alternative to traditional predictive admissions. (Author/PN)
Descriptors: Admission Criteria, Affirmative Action, College Admission, College Entrance Examinations
Peer reviewedNewman, Isadore; And Others – Journal of Industrial Teacher Education, 1981
Presents a theoretical model which helps identify significant predictors of employability of vocational graduates. Discusses the decision to hire, multiple linear regression methods, reasons for poor predictability, and interpretation of the results. (CT)
Descriptors: Data Analysis, Employment Potential, Labor Force, Models
Peer reviewedCook, Daniel W. – Rehabilitation Counseling Bulletin, 1980
Presents a method to improve client classification. Reviews clinical prediction models and statistical prediction issues. In classifying clients for remedial services, utility of the prediction scheme depends on gains accrued by its use over program base rates and relative cost. This assumes that differential treatments parallel diagnostic…
Descriptors: Classification, Clinical Diagnosis, Counseling, Models
Lassibille, Gerard; Gomez, Maria Lucia Navarro – Prospects, 1990
Provides statistical assessment of the amount of money developing countries will need to meet an estimated demand for primary education. Evaluates the cost of providing universal primary education by the year 2000. Concludes that African nations must increase spending on education the most, followed by Asia, with the smallest increase required in…
Descriptors: Developing Nations, Educational Finance, Educational Research, Enrollment
Bailey, Brenda L. – New Directions for Institutional Research, 2006
Data mining of IPEDS data is used to develop models that calculate predicted graduation rates for two- and four-year institutions. (Contains 7 tables and 5 figures.)
Descriptors: Graduation Rate, Models, Data, Prediction
Gaylord, Thomas A. – 1983
The development of time-series revenue projections for University of Alaska Budget Request Units (BRUs) is described. Fiscal planning modes in higher education are reviewed, along with the attributes of judgmental, time-series, and causal forecasting techniques. The following six submodels comprise the necessary dimensions of the comprehensive…
Descriptors: College Planning, Educational Finance, Financial Support, Higher Education
Mkandawire, Donton S. J. – 1981
The problem of finding a meaningful way of demonstrating the benefit or satisfaction to be gained by using predictive assessment techniques to select or place individuals in work situations is explored. The urgent need of developing nations for appropriate occupational and educational selection procedures is presented and explained. A discussion…
Descriptors: Developing Nations, Evaluation Methods, Measurement Techniques, Models
Hudson, Barclay; Bruno, James – 1978
This overview of both quantitative and qualitative methods of educational forecasting is introduced by a discussion of a general typology of forecasting methods. In each of the following sections, discussion follows the same general format: a number of basic approaches are identified (e.g. extrapolation, correlation, systems modelling), and each…
Descriptors: Classification, Educational Planning, Futures (of Society), Models

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