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Peer reviewedMeredith, William; Tisak, John – Psychometrika, 1990
A model based on latent trait theory, with maximum likelihood parameter estimates and associated asymptotic tests, is presented. Latent curve analysis is a method for representing development and is an alternative to repeated measures analysis of variance and first-order auto-regressive models. (SLD)
Descriptors: Analysis of Variance, Estimation (Mathematics), Item Response Theory, Mathematical Models
Peer reviewedSwetz, Frank – Mathematics Teacher, 1989
Discusses the use of mathematical modeling. Describes types, examples, and importance of mathematical models. (YP)
Descriptors: Mathematical Concepts, Mathematical Formulas, Mathematical Models, Mathematics Curriculum
Peer reviewedSorbom, Dag – Psychometrika, 1989
A modification index is presented to aid in reformulating hypothetical models rejected after analysis of empirical data. This index is an improvement over the one in the LISREL V computer program in that it takes into account changes in all parameters of the model when one parameter is freed. (SLD)
Descriptors: Equations (Mathematics), Evaluation Methods, Factor Analysis, Hypothesis Testing
Peer reviewedHakstian, A. Ralph; And Others – Psychometrika, 1989
Four measurement designs are presented for use with correlation coefficients corrected, in one variable, for attenuation due to unreliability (partially disattenuated). Associated asymptotic variance/covariance expressions are presented. Empirical simulation results illustrate the satisfactory Type I error control and statistical power of the…
Descriptors: Analysis of Covariance, Analysis of Variance, Correlation, Equations (Mathematics)
Peer reviewedDe Ayala, R. J. – Educational and Psychological Measurement, 1989
A polychotomous nominal response model-based computerized adaptive test (CAT) was simulated using data from 1,093 University of Texas students. The ability estimation of this model and its overall performance were compared with those of a dichotomous three-parameter logistic model-based CAT. Advantages and drawbacks of nominal response CAT are…
Descriptors: Adaptive Testing, College Students, Comparative Analysis, Computer Assisted Testing
Peer reviewedHuynh, Huynh – Journal of Educational Statistics, 1990
False positive and false negative error rates were studied for competency testing when failing examinees are permitted to retake the test. Formulas are provided for the beta-binomial and Rasch models. Estimates based on these models are compared for six data sets from the South Carolina Basic Skills Assessment Program. (SLD)
Descriptors: Elementary Secondary Education, Equations (Mathematics), Error Patterns, Estimation (Mathematics)
Peer reviewedMacCann, Robert G. – Journal of Educational Statistics, 1990
For anchor test equating, 3 linear observed score methods are derived for populations differing in ability. Each version requires that the correlations of the tests with the selection variable be known. Five sets of assumptions are made for each model--yielding 15 methods--which are then related to existing methods. (SLD)
Descriptors: Ability, Ability Grouping, Equated Scores, Equations (Mathematics)
Peer reviewedBennett, Albert B., Jr. – Mathematics Teacher, 1989
Mathematical proofs often leave students unconvinced or without understanding of what has been proved, because they provide no visual-geometric representation. Presented are geometric models for the finite geometric series when r is a whole number, and the infinite geometric series when r is the reciprocal of a whole number. (MNS)
Descriptors: Diagrams, Geometric Concepts, Mathematical Models, Mathematics Instruction
Peer reviewedGalbraith, Peter – For the Learning of Mathematics, 1988
This paper is an attempt to contribute to the development of guiding principles for mathematics education by taking a frame of reference outside mathematics education itself. Examines the implications of long wave theory for mathematics education. (YP)
Descriptors: Educational History, Futures (of Society), History, Mathematical Models
Peer reviewedDe Villiers, Michael D. – Mathematics in School, 1988
Describes the use of step-functions in modelling instruction. Classifies modelling into three categories: direct, analogical, and creative application. Provides and discusses modelling postal rates and other problems as examples. (YP)
Descriptors: Algebra, Functions (Mathematics), Graphs, Mathematical Applications
Peer reviewedEade, Frank – Mathematics in School, 1989
Outlines a possible framework for allowing teachers to explore how children learn mathematics. A mathematical modelling process and three domains, including content, process and pragmatic domain, are described. Twelve strategies for encouraging children to translate between the domains are suggested. (YP)
Descriptors: Elementary Education, Elementary School Mathematics, Mathematical Applications, Mathematical Models
Peer reviewedOppenheim, Rosa – Computers and the Humanities, 1988
Examines mathematical models of style analysis, focusing on the pattern in which literary characteristics occur. Describes an autoregressive integrated moving average model (ARIMA) for predicting sentence length in different works by the same author and comparable works by different authors. This technique is valuable in characterizing stylistic…
Descriptors: Content Analysis, Correlation, Literary Criticism, Literary Styles
Peer reviewedKane, Michael T.; And Others – Journal of Educational Measurement, 1989
This paper develops a multiplicative model as a means of combining ratings of criticality and frequency of various activities involved in job analyses. The model incorporates adjustments to ensure that effective weights of criticality and frequency are appropriate. An example of the model's use is presented. (TJH)
Descriptors: Critical Incidents Method, Higher Education, Job Analysis, Licensing Examinations (Professions)
Peer reviewedThow-Yick, Liang – Information Processing and Management, 1994
Identifies a set of objects that is genuinely indigenous to management information systems and constructs a simple model based on them. The model's four basic entities, which define the scope of information theory, are data, information, knowledge, and wisdom. (Contains 46 references.) (KRN)
Descriptors: Concept Formation, Data, Information Processing, Information Science
Peer reviewedLehrer, Richard; Romberg, Thomas – Cognition and Instruction, 1996
Two experiments examined fifth-grade students' reasoning about data modeling: one involved development of hypermedia documents, the other, use of a simple randomization distribution to test students' hypotheses. Found that data construction and analysis provide an opportunity to involve students in the important enterprise of mathematical…
Descriptors: Data Analysis, Elementary Education, Elementary School Students, Grade 5


