Publication Date
| In 2026 | 0 |
| Since 2025 | 55 |
| Since 2022 (last 5 years) | 415 |
| Since 2017 (last 10 years) | 964 |
| Since 2007 (last 20 years) | 1884 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Teachers | 318 |
| Practitioners | 316 |
| Researchers | 287 |
| Administrators | 19 |
| Students | 19 |
| Policymakers | 16 |
| Community | 1 |
| Counselors | 1 |
| Media Staff | 1 |
| Support Staff | 1 |
Location
| Australia | 121 |
| Turkey | 86 |
| Canada | 53 |
| Netherlands | 46 |
| United States | 45 |
| United Kingdom | 42 |
| Indonesia | 35 |
| Germany | 30 |
| California | 28 |
| China | 25 |
| United Kingdom (England) | 25 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards with or without Reservations | 3 |
| Does not meet standards | 2 |
Peer reviewedFischer, Gerhard H. – Psychometrika, 1989
The linear logistic model with relaxed assumption is extended to designs with any number of time points or with different sets of items presented on different occasions, provided that one unidimensional subscale is available per latent trait. A sample application is presented. (SLD)
Descriptors: Data Interpretation, Equations (Mathematics), Estimation (Mathematics), Item Response Theory
Peer reviewedPrien, Borge – Studies in Educational Evaluation, 1989
Under certain conditions it may be possible to determine the difficulty of previously untested test items. Although no recipe can be provided, reflections on this topic are presented, drawing on concepts of item banking. A functional constructive method is suggested as having the most potential. (SLD)
Descriptors: Difficulty Level, Educational Assessment, Foreign Countries, Item Analysis
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)


