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Implications of a Class of Covariance Structure Models for the Development of Measuring Instruments.
Bramble, William J.; Wiley, David E. – 1970
The research on covariance structure analysis is reviewed, and various restrictions on the parameter matrices of the general model are delineated. Models employing two particular restrictions (where the matrix of weights is completely specified and is either scaled--by some unknown but estimable matrix of scaling weights--or unscaled) are…
Descriptors: Analysis of Covariance, Computer Programs, Goodness of Fit, Mathematical Models
McCormick, William T., Jr.; And Others – 1969
Presented are the results of a study conducted to develop algorithms for ordering and organizing data that can be presented in a two-dimensional matrix form. The purpose of the work was to develop methods to extract latent data patterns, grouping, and structural relationships which are not apparent from the raw matrix data. The algorithms…
Descriptors: Algorithms, Data Analysis, Data Processing, Mathematical Applications
Dolezel, Lubomir, Ed.; Bailey, Richard W., Ed. – 1969
This collection of 17 articles concerning the application of mathematical models and techniques to the study of literary style is an attempt to overcome the communication barriers that exist between scholars in the various fields that find their meeting ground in statistical stylistics. The articles selected were chosen to represent the best…
Descriptors: Language Styles, Literary Styles, Mathematical Linguistics, Mathematical Models
Bailey, Richard W. – 1970
The author suggests that mathematical formulas could provide some direct and easily understandable frameworks for analogies in literary criticism. Most studies of textual problems, he points out, either have failed to use full mathematical models or have been reckless with the inherent limits of these techniques. Enumeration of linguistic traits…
Descriptors: Computational Linguistics, Information Theory, Literary Criticism, Literary Styles
Sockloff, Alan L. – 1974
An equation was derived to determine the relationship between the pooled within-subgroup r (correlation coefficient) and the r obtained from the total group data. It was, thus, possible to assess the amount of distortion introduced by pooling heterogeneous subgroups. As a basis for deciding whether to pool two subgroups in order to calculate a…
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Mathematical Models
Nigro, George A. – 1971
A set of mathematical consistencies that forms conditions of inequality in a theorem is summarized, and a strategy for its application with real data is presented. The theorem and strategy are suggested for immediate use by the practitioner seeking cause-effect relationships in a system of variables to cut down guess work and time in analysis and…
Descriptors: Correlation, Educational Research, Hypothesis Testing, Mathematical Models
Joreskog, Karl G.; Van Thillo, Marielle – 1971
A new basic algorithm is discussed that may be used to do factor analysis by any of these three methods: (1) unweighted least squares, (2) generalized least squares, or (3) maximum likelihood. (CK)
Descriptors: Algorithms, Computer Programs, Correlation, Expectation
Lord, Frederic M. – 1972
The stepped-up reliability coefficient does not have the same standard error as an ordinary correlation coefficient. Fisher's Z -transformation should not be applied to it. Appropriate procedures are suggested. (Author)
Descriptors: Analysis of Variance, Mathematical Models, Research, Research Reports
Besel, Ronald – 1973
The contention that interpretation of a student's performance on a criterion referenced test should be independent of the performance of his classmates is challenged. The Mastery Learning Test Model, which was developed for analyzing criterion referenced test data, is described. An estimate of the proportion of students in an instructional group…
Descriptors: Criterion Referenced Tests, Mathematical Models, Measurement Instruments, Speeches
Olkin, Ingram – 1972
Bounds for the tails of Dirichlet integrals are established by showing that each integral as a function of the limits is a Schur function. In particular, it is shown how these bounds apply to the simultaneous analysis of variance test and to the multinomial distribution. (Author)
Descriptors: Analysis of Variance, Evaluation Methods, Mathematical Models, Measurement Techniques
Mandeville, Garrett K.
Results of a comparative study of F and Q tests, in a randomized block design with one replication per cell, are presented. In addition to these two procedures, a multivariate test was also considered. The model and test statistics, data generation and parameter selection, results, summary and conclusions are presented. Ten tables contain the…
Descriptors: Comparative Analysis, Data Analysis, Mathematical Models, Models
Calkins, Dick S.; Jennings, Earl
The mathematical derivation of the statistics used for inference in some linear models assumes that values of the independent variables are pre-selected such that these variables can be treated as fixed rather than random variables. This assumption is often disregarded when these models are utilized in research. This study is an investigation of…
Descriptors: Analysis of Covariance, Factor Analysis, Linear Programing, Mathematical Applications
Byars, Jackson A.; Roscoe, John T. – 1972
There are at least two situations in which the behavioral scientist wishes to transform uniformly distributed data into normally distributed data: (1) In studies of sampling distributions where uniformly distributed pseudo-random numbers are generated by a computer but normally distributed numbers are desired; and (2) In measurement applications…
Descriptors: Behavioral Objectives, Comparative Analysis, Mathematical Models, Measurement Instruments
Peer reviewedDuncan, Otis Dudley – American Journal of Sociology, 1979
Presents two models for statistically analyzing occupational mobility. The models show how the destination distribution is shifted for each shift of one or more steps on the scale of occupational origins. (Author/AV)
Descriptors: Data Analysis, Mathematical Models, Models, Occupational Mobility
Peer reviewedDouglas, Graham A. – Psychometrika, 1978
A goodness of fit test presented by Andersen (EJ 143 939) is shown to be incorrect. The correct test is described and a re-analysis of Andersen's data is provided. (Author/CTM)
Descriptors: Goodness of Fit, Individual Differences, Mathematical Models, Maximum Likelihood Statistics


