NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 2,206 to 2,220 of 7,297 results Save | Export
Peer reviewed Peer reviewed
Sirotnik, Ken – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Item Sampling, Mathematical Models, Statistical Analysis
Peer reviewed Peer reviewed
Clark, James A.; McQuitty, Louis L. – Educational and Psychological Measurement, 1970
Descriptors: Comparative Analysis, Correlation, Mathematical Applications, Mathematical Models
Peer reviewed Peer reviewed
Boruch, Robert F.; And Others – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Factor Analysis, Factor Structure, Mathematical Models
Peer reviewed Peer reviewed
Stoloff, Peter H. – Educational and Psychological Measurement, 1970
Descriptors: Analysis of Variance, Hypothesis Testing, Mathematical Models, Statistical Significance
Kochen, Manfred; Segur, A. Bertrand – J Amer Soc Inform Sci, 1970
A mathematical model is used to justify having the Library of Congress do as much as possible of all the original cataloging for U.S. libraries. It is suggested that the potential savings due to decreased duplication of effort by local libraries could easily justify the use of a computer system at LC. (Author/JB)
Descriptors: Cataloging, Computers, Cost Effectiveness, Libraries
Rhodes, Frank; And Others – Math Gaz, 1970
Descriptors: College Mathematics, Geometric Concepts, Geometry, Instruction
Peer reviewed Peer reviewed
Ferligoj, Anuska; Batagelj, Vladimir – Psychometrika, 1982
Using constraints with cluster analysis limits the possible number of clusters. This paper deals with clustering problems where grouping is constrained by a symmetric and reflexive relation. Two approaches, along with illustrations, are presented. (Author/JKS)
Descriptors: Algorithms, Cluster Analysis, Data Analysis, Mathematical Models
Peer reviewed Peer reviewed
Desarbo, Wayne S. – Psychometrika, 1982
A general class of nonhierarchical clustering models and associated algorithms for fitting them are presented. These models generalize the Shepard-Arabie Additive clusters model. Two applications are given and extensions to three-way models, nonmetric analyses, and other model specifications are provided. (Author/JKS)
Descriptors: Algorithms, Cluster Analysis, Data Analysis, Mathematical Models
Peer reviewed Peer reviewed
Cressie, Noel; Holland, Paul W. – Psychometrika, 1983
The problem of characterizing the manifest probabilities of a latent trait model is considered. The approach taken here differs from the standard approach in that a population of examinees is being considered as opposed to a single examinee. Particular attention is given to the Rasch model. (Author/JKS)
Descriptors: Guessing (Tests), Item Analysis, Latent Trait Theory, Mathematical Models
Peer reviewed Peer reviewed
Holling, Heinz – Educational and Psychological Measurement, 1983
Recent theoretical analyses of the concept of suppression are identified and discussed. A generalized definition of suppression is presented and the conditions for suppressor structures in the context of the General Linear Model are derived. (Author)
Descriptors: Mathematical Models, Multiple Regression Analysis, Research Methodology, Statistical Analysis
Peer reviewed Peer reviewed
Gerbing, David W.; Hunter, John E. – Educational and Psychological Measurement, 1982
In a LISREL-IV analysis, a method of specifying a priori the variances of the latent variables for interpretability is demonstrated. The potential confusion of the metric of the latent variables is discussed, since many of the parameter estimates are a function of the metric. (Author/CM)
Descriptors: Computer Programs, Factor Analysis, Mathematical Models, Maximum Likelihood Statistics
Peer reviewed Peer reviewed
Raju, Nambury S. – Educational and Psychological Measurement, 1982
A necessary and sufficient condition for a perfectly homogeneous test in the sense of Loevinger is stated and proved. Using this result, a formula for computing the maximum possible KR-20 when the test variance is assumed fixed is presented. A new index of test homogeneity is also presented and discussed. (Author/BW)
Descriptors: Mathematical Formulas, Mathematical Models, Multiple Choice Tests, Test Reliability
Peer reviewed Peer reviewed
Pruzek, Robert M.; Rabinowitz, Stanley N. – American Educational Research Journal, 1981
Simple modifications of principal component methods are described that have distinct advantages for structural analysis of relations among educational and psychological variables. The methods are contrasted theoretically and empirically with conventional principal component methods and with maximum likelihood factor analysis. (Author/GK)
Descriptors: Factor Analysis, Mathematical Models, Maximum Likelihood Statistics, Multivariate Analysis
Peer reviewed Peer reviewed
Cattell, Raymond B. – Multivariate Behavioral Research, 1982
A data analysis model is proposed for studies concerning attribution theory. The model is based on the author's previous work in the area of trait view theory. (JKS)
Descriptors: Attribution Theory, Data Analysis, Individual Differences, Mathematical Models
Peer reviewed Peer reviewed
Melzer, Charles W.; And Others – Educational and Psychological Measurement, 1981
The magnitude of statistical bias for the phi-coefficient was investigated, using computer simulated examinations in which all the students had equal knowledge. Several modifications of phi were tested, but when applied to real examinations, none succeeded in improving its reproducibility when items are re-used on equivalent student groups.…
Descriptors: Correlation, Item Analysis, Mathematical Models, Multiple Choice Tests
Pages: 1  |  ...  |  144  |  145  |  146  |  147  |  148  |  149  |  150  |  151  |  152  |  ...  |  487