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Peer reviewedHubert, Lawrence J.; Baker, Frank B. – Psychometrika, 1978
The "Traveling Salesman" and similar combinatorial programming tasks encountered in operations research are discussed as possible data analysis models in psychology, for example, in developmental scaling, Guttman scaling, profile smoothing, and data array clustering. A short overview of various computational approaches from this area of…
Descriptors: Computer Programs, Computer Science, Mathematical Models, Measurement
Peer reviewedBejar, Isaac I. – Applied Psychological Measurement, 1977
An application of Samejima's latent trait model for continuous responses was applied using the Impulsivity and Harmavoidance scales of Jackson's Personality Research Form; attention was given to the requirement that the model be invariant across populations and sex groups. Responses from males were found to fit the model better than those from…
Descriptors: Higher Education, Latent Trait Theory, Mathematical Models, Rating Scales
Peer reviewedFord, David L.; And Others – Multivariate Behavioral Research, 1978
Econometric techniques for estimating the parameters of individual and group multi-attribute utility models are discussed. These techniques permit measurement of intra-and inter-individual heterogeneity with regard to the importance ascribed to the model attributes. (Author/JKS)
Descriptors: Economic Research, Higher Education, Individual Characteristics, Mathematical Models
Peer reviewedRaju, Nambury S. – Educational and Psychological Measurement, 1977
A rederivation of Lord's formula for estimating variance in multiple matrix sampling is presented as well as the ways Cronbach's coefficient alpha and the Spearman-Brown prophecy formula are related in this context. (Author/JKS)
Descriptors: Analysis of Variance, Comparative Analysis, Item Sampling, Mathematical Models
Peer reviewedDavison, Mark L. – Psychometrika, 1977
A model is presented which allows for the prediction of relationships among stimuli when stimulus responses are linearly related to squared distances between stimulus scale values and person scores along a latent continuum. Applications to developmental and attitudinal data are discussed. (Author/JKS)
Descriptors: Attitudes, Factor Analysis, Mathematical Models, Measurement
Peer reviewedHuynh, Huynh – Psychometrika, 1977
A model for the setting of mastery cut scores is presented. The model, based on the beta-binomial test distribution, allows for hand calculation of cut scores. The model provides a simple way to explore the consequences of selecting a particular cut score. (Author/JKS)
Descriptors: Career Development, Cutting Scores, Mastery Tests, Mathematical Models
Peer reviewedWolfe, Lee M. – Multiple Linear Regression Viewpoints, 1977
The analytical procedure of path analysis is described in terms of its use in nonexperimental settings in the social sciences. The description assumes a moderate statistical background on the part of the reader. (JKS)
Descriptors: Critical Path Method, Mathematical Models, Multiple Regression Analysis, Research Tools
Peer reviewedWilliams, R. D.; Cosart, W. P. – Chemical Engineering Education, 1976
Discusses an introductory chemical engineering course in which mathematical models are used to analyze experimental data. Concepts illustrated include dimensional analysis, scaleup, heat transfer, and energy conservation. (MLH)
Descriptors: Course Descriptions, Curriculum, Engineering, Engineering Education
Peer reviewedHenson, R.; Stumbles, A. – Education in Chemistry, 1977
The relationship between mathematics and chemistry has been changing rapidly in recent years. Some chemistry teachers have experienced difficulties in their teaching with the introduction of modern mathematics in the schools. Some suggestions for reinforcing the concepts and language of modern mathematics are put forth. (Author/MA)
Descriptors: Chemistry, Mathematical Models, Mathematics Education, Modern Mathematics
Peer reviewedBrazier, Gerald D. – Mathematics Teacher, 1978
Elementary differential calculus is used to analyze and to discuss some complex economic situations. (JT)
Descriptors: Calculus, College Mathematics, Consumer Economics, Higher Education
Meyer, Rochelle Wilson – MATYC Journal, 1978
The author uses mathematical models that involve only algebra and a few basic ideas in discrete probability to describe the frequency of conception in large human societies. A number of calculations which can be done by students as exercises are given. (MN)
Descriptors: Abortions, Algebra, College Mathematics, Contraception
Peer reviewedEaves, David – Journal of Multivariate Analysis, 1976
Vector sum of a white noise in an unknown hyperspace and an Ornstein-Uhlenbeck process in an unknown line is observed through sharp linear test functions over a finite time span. Parameters associated with white noise are determinable and index measure-equivalence classes in relevant sample space. Intraclass relative density provides a basis for…
Descriptors: Analysis of Covariance, Bayesian Statistics, Diffusion, Mathematical Models
Peer reviewedKim, Jin Eun – Planning and Changing, 1977
This paper provides cost-effectiveness measures that can be used for analyzing secondary vocational programs in terms of program effectiveness against cost-efficiency. (Author/IRT)
Descriptors: Cost Effectiveness, Mathematical Models, Program Costs, Program Evaluation
Koehler, W. F. – Engineering Education, 1985
Describes a mathematical salary-growth model which serves as the basis of an objective conversion procedure (providing a more equitable merit-pay plan). Also demonstrates how this procedure was used and discusses additional benefits (particularly pertinent to institutions using arbitrary criteria to determine pay increments and have lock-step…
Descriptors: Engineering, Engineering Education, Higher Education, Mathematical Models
Peer reviewedRaudenbush, Stephen W. – Journal of Educational Statistics, 1988
Estimation theory in educational statistics and the application of hierarchical linear models are reviewed. Observations within each group vary as a function of microparameters. Microparameters vary across the population of groups as a function of macroparameters. Bayes and empirical Bayes viewpoints review examples with two levels of hierarchy.…
Descriptors: Bayesian Statistics, Educational Research, Equations (Mathematics), Estimation (Mathematics)


