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Peer reviewedLindsay, Carl A.; Prichard, Mark A. – Journal of Educational Measurement, 1971
Descriptors: Equated Scores, Goodness of Fit, Mathematical Models, Scores
Cundy, H. Martyn – Mathematical Gazette, 1971
This article describes a model icosidodecahedron made from cardboard and used as a lampshade. (MM)
Descriptors: Geometry, Instruction, Instructional Materials, Mathematical Applications
Peer reviewedRustagi, J. S. – International Journal of Mathematical Education in Science and Technology, 1971
Descriptors: Algebra, Calculus, College Mathematics, Mathematical Applications
Peer reviewedGlover, Fred; Klingman, Darwin – Library Quarterly, 1972
New model formulations and solution methods are given for the Journal Selection Problem. The results are developed in a framework that can also accommodate problems with a somewhat different structure than the Journal Selection Problem, thus providing new solution strategies for these problems as well. (32 references) (Author/NH)
Descriptors: Decision Making, Library Material Selection, Library Planning, Mathematical Models
Bruno, James E. – Amer Educ Res J, 1969
Descriptors: Educational Finance, Linear Programing, Mathematical Models, Resource Allocation
Peer reviewedBruno, James E. – Management Science, 1971
Illustration of salary schedules to replace the rigidity of the fixed step salary schedule for school personnel. (Author/RA)
Descriptors: Collective Bargaining, Mathematical Models, Personnel Policy, Programing
Peer reviewedLingoes, James C. – Psychometrika, 1971
Descriptors: Algebra, Data Analysis, Geometric Concepts, Mathematical Models
Peer reviewedNatalicio, Luiz F. S.; Kidd, Ronald V. – Psychological Reports, 1971
Reviews research concerning the contributions of mathematical models, concept-learning studies and studies in individual differences to experimental methodology in psychology. Includes implications, problems, and basic issues. (MB)
Descriptors: Concept Formation, Individual Differences, Mathematical Models, Methods
Cattell, Raymond B. – Develop Psychol, 1970
Study was first presented at the annual invitational address to Division 20, Maturity and Old Age, at the meeting of the American Psychological Association, August 30, 1968. (MS)
Descriptors: Adult Development, Age Differences, Developmental Psychology, Growth Patterns
Peer reviewedFein, Elihu – American Journal of Physics, 1970
Descriptors: Demography, Environmental Influences, Mathematical Models, Physics
Bowden, Edgar – Rural Sociol, 1970
Descriptors: Agricultural Trends, Cultural Influences, Diffusion, Farmers
Peer reviewedDenison, Daniel R. – Multivariate Behavioral Research, 1982
Structural equation modeling is applied in conjunction with constrained monotone distance analysis. These alternative methods are used in an evaluation of a social-psychological model derived from Likert's theory of organizational behavior. (Author/JKS)
Descriptors: Data Analysis, Hypothesis Testing, Mathematical Models, Multidimensional Scaling
Peer reviewedMacready, George B. – Psychometrika, 1982
A strategy for the pairwise assessment which may be used to evaluate the nature of both "prerequisite" and "transference" relations existing among a set of traits is presented. Both confirmatory and exploratory strategies are presented. An example of how the strategy would be used is presented in the exploratory context.…
Descriptors: Correlation, Data Analysis, Item Analysis, Latent Trait Theory
Peer reviewedBentler, P. N.; Freeman, Edward H. – Psychometrika, 1983
Interpretations regarding the effects of exogenous and endogenous variables on endogenous variables in linear structural equation systems depend upon the convergence of a matrix power series. The test for convergence developed by Joreskog and Sorbom is shown to be only sufficient, not necessary and sufficient. (Author/JKS)
Descriptors: Data Analysis, Mathematical Models, Matrices, Multiple Regression Analysis
Peer reviewedStacy, E. Webb, Jr. – Evaluation and Program Planning: An International Journal, 1981
The use of prevalence data is discussed to help find the best way to separate at-risk and not-at-risk groups. Implications of the data being distributed normally are also discussed and several examples, including one with a nonnormal distribution, are given. (Author/GK)
Descriptors: High Risk Persons, Incidence, Mathematical Models, Mental Health Programs
