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 reviewedKnisley, Jeff – Mathematics Educator, 2002
Develops a model of mathematical learning from an exploration of educational research and personal observations. Uses Kolb's model of experiential learning to characterize four mathematical learning styles: (1) allegorizers; (2) integrators; (3) analyzers; and (4) synthesizers. These styles are viewed as corresponding to four stages of…
Descriptors: Cognitive Style, Experiential Learning, Higher Education, Mathematical Models
Peer reviewedWright, Benjamin D.; Mok, Magdalena – Journal of Applied Measurement, 2000
Presents an overview of Rasch measurement models that begins with a conceptualization of continuous experiences often captured as discrete observations. Discusses the mathematical properties of the Rasch family of models that allow the transformation of discrete deterministic counts into continuous probabilistic abstractions. Also discusses six of…
Descriptors: Item Response Theory, Mathematical Models, Measurement Techniques, Probability
Peer reviewedvan Buuren, Stef; Heiser, Willem J. – Psychometrika, 1989
A method based on homogeneity analysis (multiple correspondence analysis or multiple scaling) is proposed to reduce many categorical variables to one variable with "k" categories. The method is a generalization of the sum of squared distances cluster analysis problem to the case of mixed measurement level variables. (SLD)
Descriptors: Cluster Analysis, Mathematical Models, Multidimensional Scaling, Statistical Analysis
Peer reviewedAlexander, Ralph A. – Journal of Educational Measurement, 1990
This note shows that the formula suggested by N. D. Bryant and S. Gokhale (1972) for correcting indirectly restricted correlations when no information is available on the third (directly restricted) variable is accurate only in one special instance. A more general correction formula is illustrated. (SLD)
Descriptors: Correlation, Equations (Mathematics), Mathematical Models, Selection
Peer reviewedLutz, J. Gary; Cundari, Leigh A. – Journal of Educational Statistics, 1989
Means of identifying sources of rejection of hypotheses regarding linear multivariate statistical models are discussed. Problems with the use of a global test using Roy's largest root criterion and means of solving them are presented, along with a practical application of the techniques. (TJH)
Descriptors: Hypothesis Testing, Mathematical Formulas, Mathematical Models, Multivariate Analysis
Peer reviewedThomas, Hoben – Psychometrika, 1989
A model which approaches the problem of characterizing distributions of test validity correlation coefficients from the perspective of finite mixture theory is presented. This estimation method offers advantages over validity generalization procedures. Examples are provided to illustrate applications of the method. (SLD)
Descriptors: Correlation, Estimation (Mathematics), Generalization, Mathematical Models
Peer reviewedMislevy, Robert J.; Sheehan, Kathleen M. – Journal of Educational Statistics, 1989
The structure of information matrices in latent-variable models is explicated, and the degree to which missing information can be recovered by exploring collateral variables for respondents is characterized. Results are illustrated in the context of item-response-theory models, and practical implications are discussed. (SLD)
Descriptors: Equations (Mathematics), Item Response Theory, Mathematical Models, Matrices
Peer reviewedKaplan, David – Educational and Psychological Measurement, 1989
The power of the likelihood ratio test in multiple group confirmatory factor analysis under partial measurement invariance was studied in a population study with a six-variable, two-factor model where a specification error existed for one group. Results are discussed in terms of strategies of multiple group modeling. (SLD)
Descriptors: Factor Analysis, Groups, Mathematical Models, Measurement
Peer reviewedvan der Heijden, Peter G. M.; Worsley, Keith J. – Psychometrika, 1988
With reference to the authors' previous paper (1985), it is proposed that loglinear analysis can be used to detect interactions in a multiway contingency table and explore the form of these interactions with correspondence analysis. Correspondence analysis assists in finding a model with restrictions on the interaction parameters. (TJH)
Descriptors: Factor Analysis, Mathematical Models, Research Methodology, Set Theory
Peer reviewedten Berge, Jos M. F. – Psychometrika, 1988
A summary and a unified treatment of fully general computational solutions for two criteria for transforming two or more matrices to maximal agreement are provided. The two criteria--Maxdiff and Maxbet--have applications in the rotation of factor loading or configuration matrices to maximal agreement and the canonical correlation problem. (SLD)
Descriptors: Correlation, Equations (Mathematics), Mathematical Models, Matrices
Peer reviewedLee, Heeseok – Information Processing & Management, 1995
Proposes a cost/benefit model coupled with a decision tree for determining normal forms, which are used in information systems development processes to group data into well-refined structures. The three primary variables that impact the benefits and costs of normalization (reduced anomalies, storage requirements, and transaction response times)…
Descriptors: Cost Effectiveness, Database Design, Information Storage, Mathematical Models
Peer reviewedZhu, Jian-Hua – Journalism Quarterly, 1992
Proposes a mathematical model to incorporate the strengths of both the classic approach to agenda-setting research and the time-series technique. Tests the model with data on three issues. Finds both mutual competition and one-way attraction among issues. (SR)
Descriptors: Agenda Setting, Communication Research, Higher Education, Mathematical Models
Peer reviewedRomanazzi, Mario – Psychometrika, 1992
The perturbation theory of the generalized eigenproblem is used to derive influence functions of each squared canonical correlation coefficient and the corresponding canonical vector pair. Three sample versions of these functions are described, and some properties are noted. Two obvious applications, multiple correlation and correspondence…
Descriptors: Equations (Mathematics), Estimation (Mathematics), Mathematical Models, Multivariate Analysis
Peer reviewedten Berge, Jos M. F. – Psychometrika, 1991
The phenomenon of 2 x 2 x 2 arrays having nonmaximal rank with positive probability, pointed out by J. Kruskal (1989), is generalized to 2 x "n" x "n" arrays. It is concluded that a pair of asymmetric square matrices can be diagonalized simultaneously with positive probability. (SLD)
Descriptors: Equations (Mathematics), Generalization, Mathematical Models, Matrices
Peer reviewedEgghe, L. – Information Processing and Management, 1992
Discusses information production processes (IPP)--i.e., continuous mathematical models of production processes such as bibliographies, economic production processes, and social usages of words in a text--from the point of view of concentration theory. Gini's index is studied in the dual framework of IPPs. (27 references) (LRW)
Descriptors: Information Science, Mathematical Formulas, Mathematical Models, Measurement Techniques


