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Peer reviewedAndersen, Erling; Madsen, Mette – Psychometrika, 1977
Methods for estimating the mean and variance of latent ability parameters of a normally distributed population that has been tested with Rasch model-calibrated test items are discussed. Methods for checking the normality of the population are also included. (JKS)
Descriptors: Achievement Tests, Aptitude Tests, Latent Trait Theory, Mathematical Models
Peer reviewedSchmidt, Frank L. – Educational and Psychological Measurement, 1977
Urry's procedure for approximating latent trait test models is shown to tend to underestimate item discriminatory power and overestimate item difficulty. A method for correcting these biases is provided, and implications of the procedures are discussed. (Author/JKS)
Descriptors: Item Analysis, Latent Trait Theory, Mathematical Models, Test Bias
Peer reviewedHarper, Joseph; And Others – Journal of Advertising, 1978
Presents a mathematical model for simulating a newspaper financial system. Includes the effects of advertising and circulation for predicting advertising linage as a function of population, income, and advertising rate. (RL)
Descriptors: Advertising, Budgeting, Journalism, Management Information Systems
Peer reviewedTroccolo, Joseph A. – Mathematics Teacher, 1977
A problem illustrating how physics and mathematics complement one another when analyzing problems of the physical world is described. (JT)
Descriptors: College Mathematics, College Science, Higher Education, Mathematical Models
Peer reviewedEdmonds, James D., Jr. – American Journal of Physics, 1978
Examines the concept of PdV work and the harmonic oscillator as an example of a thermodynamic system with properties analogous to an ideal gas. (SL)
Descriptors: College Science, Energy, Higher Education, Mathematical Models
Peer reviewedGraham, Robert J.; Jahani, Mohammad – Interfaces, 1977
A method is described to help identify important groups in an organization, rank their probable actions, and arrive at a list of the most important group-action pairs for that company. Available from: The Institute of Management Sciences, 146 Westminister Street, Providence, Rhode Island 02903.
Descriptors: Group Dynamics, Identification, Mathematical Models, Organizational Development
Peer reviewedProtomastro, Gerard P.; Hallum, Cecil R. – American Mathematical Monthly, 1977
An introductory mathematics course for liberal arts students was based on mathematical models and applications. The course outline is provided, and evaluation of the course is discussed. (SD)
Descriptors: College Mathematics, Curriculum, Evaluation, Higher Education
Peer reviewedRobertson, S. E.; Harding, P. – Journal of Documentation, 1984
Presents adaptation of a probabilistic theoretical model previously used in relevance feedback for use in automatic indexing of documents (in the sense of imitating) human indexers. Methods for model application are proposed, independence assumptions used in the model are interpreted, and the probability of a dependence model is discussed.…
Descriptors: Automatic Indexing, Classification, Information Retrieval, Mathematical Models
Peer reviewedWilcox, Rand R. – Journal of Educational Statistics, 1984
Two stage multiple-comparison procedures give an exact solution to problems of power and Type I errors, but require equal sample sizes in the first stage. This paper suggests a method of evaluating the experimentwise Type I error probability when the first stage has unequal sample sizes. (Author/BW)
Descriptors: Hypothesis Testing, Mathematical Models, Power (Statistics), Probability
The Maximal Value of a Zipf Size Variable: Sampling Properties and Relationship to Other Parameters.
Peer reviewedTague, Jean; Nicholls, Paul – Information Processing and Management, 1987
Examines relationships among the parameters of the Zipf size-frequency distribution as well as its sampling properties. Highlights include its importance in bibliometrics, tables for the sampling distribution of the maximal value of a finite Zipf distribution, and an approximation formula for confidence intervals. (Author/LRW)
Descriptors: Bibliometrics, Least Squares Statistics, Mathematical Models, Research Methodology
Peer reviewedPoon, Wai-Yin; Lee, Sik-Yum – Psychometrika, 1987
Reparameterization is used to find the maximum likelihood estimates of parameters in a multivariate model having some component variable observable only in polychotomous form. Maximum likelihood estimates are found by a Fletcher Powell algorithm. In addition, the partition maximum likelihood method is proposed and illustrated. (Author/GDC)
Descriptors: Correlation, Estimation (Mathematics), Latent Trait Theory, Mathematical Models
Peer reviewedJohnston, Karen L.; Aldridge, Bill G. – Journal of Research in Science Teaching, 1985
This exploratory study determined whether a mathematical model of mastery learning provided a good fit for achievement data obtained from student progress in an introductory, college-level astronomy course for nonmajors. Results provide positive but not compelling evidence that the model of mastery learning is correct. (JN)
Descriptors: Academic Achievement, Astronomy, College Science, Higher Education
Peer reviewedHollenberg, Dennis – Journal of the American Society for Information Science, 1986
This three-part article introduces a population dynamics model of an information processing system. The first part describes the general model and defines the terms used, the second describes the functional relationships between components, and the third explores the hypothesized emergence of increasingly complex, hierarchical information systems.…
Descriptors: Analysis of Variance, Data Processing, Environment, Information Systems
Peer reviewedRindskopf, David – New Directions for Program Evaluation, 1986
Modeling the process by which participants are selected into groups, rather than adjusting for preexisting group differences, provides the basis for several new approaches to the analysis of data from nonrandomized studies. Econometric approaches, the propensity scores approach, and the relative assignment variable approach to the modeling of…
Descriptors: Effect Size, Experimental Groups, Intelligence Quotient, Mathematical Models
Peer reviewedGelman, E.; Sichel, H. S. – Journal of the American Society for Information Science, 1987
Argues that library book circulation is a binomial rather than a Poisson process, and that individual book popularities are continuous beta distributions. Three examples demonstrate the superiority of beta over negative binomial distribution, and it is suggested that a bivariate-binomial process would be helpful in predicting future book…
Descriptors: Library Circulation, Library Statistics, Mathematical Models, Operations Research


