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Li, Wen L. – International Review of Education, 1971
The demographic analysis of the educational process has been of great assistance to the work of educational planners, who must continually estimate the size of future student enrollments at different levels of the educational structure. (Author)
Descriptors: Age Grade Placement, Dropout Rate, Enrollment Projections, Enrollment Rate

Kristof, Walter – Psychometrika, 1971
Descriptors: Cognitive Measurement, Error of Measurement, Mathematical Models, Psychological Testing

Novick, Melvin R.; And Others – Psychometrika, 1971
Descriptors: Analysis of Variance, Bayesian Statistics, Error of Measurement, Mathematical Models
Boruch, Robert F.; Wolins, Leroy – Educ Psychol Meas, 1970
If one is given three or more methods of measuring three or more traits, the procedure described allows one to assess the extent to which the observation is influenced by the method and the extent to which individual differences contribute to the observations, independent of the particular method-trait combination. The procedure is illustrated.…
Descriptors: Analysis of Variance, Correlation, Evaluation Methods, Factor Analysis
Karplus, Walter J. – Perspectives in Computing, 1983
Mathematical modeling problems encountered in many disciplines are discussed in terms of the modeling process and applications of models. The models are classified according to three types of abstraction: continuous-space-continuous-time, discrete-space-continuous-time, and discrete-space-discrete-time. Limitations in different kinds of modeling…
Descriptors: Computer Science, Computer Science Education, Higher Education, Mathematical Applications

Shannon, A. G. – Australian Mathematics Teacher, 1983
This exercise in mathematical modelling requires understanding of geometric progressions, inequalities, and absolutes. It presents a problem on credit creation in the banking system. (MNS)
Descriptors: Banking, Economics, Geometric Concepts, Learning Activities

Wiebe, James H. – School Science and Mathematics, 1983
Helping children to bridge the gap between physical materials and symbolic representations is the focus of this article. Examples are drawn from numerical topics, with several hierarchies illustrated. (MNS)
Descriptors: Cognitive Processes, Elementary Education, Elementary School Mathematics, Manipulative Materials

Morehead, David R.; Rouse, William B. – Information Processing and Management, 1982
Five models which perform search tasks of the Data Base Access and Search Environment (DBASE) are presented and used for comparison with subject search performance--unconstrained (rule-based, decision theoretic) and constrained (optimal rule-based, rule-based, probabilistic rule-based). Previous experiments and the modeling approach are briefly…
Descriptors: Comparative Analysis, Databases, Information Retrieval, Information Seeking

Kaya, Azmi – CoED, 1982
Discusses analytical design and experimental verification of a PID control value for a temperature controlled liquid delivery system, demonstrating that the analytical design techniques can be experimentally verified by using digital controls as a tool. Digital control instrumentation and implementation are also demonstrated and documented for…
Descriptors: Computer Oriented Programs, Engineering, Engineering Education, Fluid Mechanics

Nelson, F. Howard – American Educational Research Journal, 1982
A three-equation simultaneous regression model was developed with regular education spending, the prevalence of handicapped children, and handicapped spending as endogenous variables. A tentative test of the model was made using recently available data from the Wisconsin special needs assessment survey and supplementary special education aids…
Descriptors: Disabilities, Elementary Secondary Education, Financial Policy, Mathematical Models

Van der Linden, Wim J. – Journal of Educational Measurement, 1982
An ignored aspect of standard setting, namely the possibility that Angoff or Nedelsky judges specify inconsistent probabilities (e.g., low probabilities for easy items but large probabilities for hard items) is explored. A latent trait method is proposed to estimate such misspecifications, and an index of consistency is defined. (Author/PN)
Descriptors: Cutting Scores, Latent Trait Theory, Mastery Tests, Mathematical Models

Fedorowicz, Jane – Journal of the American Society for Information Science, 1982
Derives the underlying structure of the Zipf distribution, with emphasis on its application to word frequencies in the inverted files of automatic bibliographic systems, and applies the Zipfian model to the National Library of Medicine's MEDLINE database. An appendix on the Zipfian mean and 12 references are included. (Author/JL)
Descriptors: Citations (References), Databases, Information Retrieval, Mathematical Models

Mattila, J. Peter – Review of Economics and Statistics, 1982
Regression analysis of 1956-79 data on high school and college enrollment among males aged 16-21, minimum wage levels, military draft requirements, unemployment rates, family income, high school graduation, and job opportunities indicates that male enrollment rates respond strongly to changes in the expected rate of financial return to schooling.…
Descriptors: Education Work Relationship, Educational Benefits, Enrollment Rate, High Schools

Rezmovic, Eva Lantos; Rezmovic, Victor – Educational and Psychological Measurement, 1981
A multitrait-multimethod matrix containing two methods of measuring 12 personality traits was analyzed and confirmatory factor analysis was applied to the data. Although unexplained variance remained, method factors and a general personality factor significantly improved the fit of a model containing only trait factors. (Author/RL)
Descriptors: Factor Analysis, Goodness of Fit, Hypothesis Testing, Mathematical Models
Head, Glenn E.; Buchanan, Charles C. – Performance and Instruction, 1981
Argues that corporation trainers need to capitalize upon technological innovations to create more efficient and effective training programs, compares training alternatives, and provides models for determining costs for students, instructors, facilities, administration, and instructional development, as well as the total corporate training cost.…
Descriptors: Change Strategies, Cost Effectiveness, Educational Technology, Industrial Training