Descriptor
Source
Author
Publication Type
Education Level
Audience
Practitioners | 13 |
Location
Australia | 1 |
Canada | 1 |
Georgia | 1 |
Italy | 1 |
Kentucky | 1 |
United Kingdom | 1 |
United Kingdom (England) | 1 |
United Kingdom (Great Britain) | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Karpman, Mitchell B. – Educational and Psychological Measurement, 1983
This paper explains how a major statistical package (BMDP) can be used to produce partial, semipartial, or bipartial set correlation in terms of a procedure outlined by Karpman (1980). (BW)
Descriptors: Computer Programs, Correlation, Mathematical Models, Multivariate Analysis

Hubert, L. J.; Golledge, R. G. – Psychometrika, 1981
A recursive dynamic programing strategy for reorganizing the rows and columns of square proximity matrices is discussed. The strategy is used when the objective function measuring the adequacy of the reorganization has a fairly simple additive structure. (Author/JKS)
Descriptors: Computer Programs, Mathematical Models, Matrices, Statistical Analysis

Snyder, Conrad W., Jr.; Law, Henry G. – Multivariate Behavioral Research, 1979
As psychologists increasingly employ more elaborate and comprehensive data collection schemes, sophisticated analytic techniques will play an ever more important role in understanding behavioral data. This paper outlines one such promising technique, Tucker's three-mode factor analysis, which enables the researcher to explore new taxonomic…
Descriptors: Computer Programs, Factor Analysis, Longitudinal Studies, Mathematical Models

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
Hughes, Barry – Pipeline, 1981
Described is a computer simulation designed to introduce students to some of the intricate relationships between the many factors involved in international economics. (MP)
Descriptors: Computer Programs, Computer Science, Computers, Economics

De Leeuw, Jan; Pruzansky, Sandra – Psychometrika, 1978
A computational method for weighted euclidean distance scaling (a method of multidimensional scaling) which combines aspects of an "analytic" solution with an approach using loss functions is presented. (Author/JKS)
Descriptors: Computer Programs, Mathematical Formulas, Mathematical Models, Multidimensional Scaling

Rindskopf, David – Psychometrika, 1983
Current computer programs for analyzing linear structural models will apparently handle only two types of constraints: fixed parameter and equal parameters. In this paper, a method for imposing several types of inequality of parameter constraints is described. Several examples are presented. (Author/JKS)
Descriptors: Analysis of Variance, Computer Programs, Data Analysis, Mathematical Models

Rindskopf, David – Psychometrika, 1983
Various models have been proposed for analyzing dichotomous test or questionnaire items which were constructed to reflect an assumed underlying structure (e.g., hierarchical). This paper shows that many such models are special cases of latent class analysis and discusses a currently available computer program to analyze them. (Author/JKS)
Descriptors: Computer Programs, Item Analysis, Mathematical Models, Measurement Techniques

Lingoes, James C.; Borg, Ingwer – Psychometrika, 1978
A family of models for the representation and assessment of individual differences for multivariate data called PINDIS (Procrustean Individual Differences Scaling) is presented. PINDIS sheds new light on the interpretability and applicability of a variety of multidimensional scaling models. (Author/JKS)
Descriptors: Computer Programs, Individual Differences, Mathematical Models, Multidimensional Scaling

Psychometrika, 1981
A single-step maximum likelihood estimation procedure is developed for multidimensional scaling of dissimilarity data measured on rating scales. The procedure can fit the euclidian distance model to the data under various assumptions about category widths and under two distributional assumptions. Practical uses of the method are demonstrated.…
Descriptors: Computer Programs, Mathematical Models, Maximum Likelihood Statistics, Multidimensional Scaling

Grandon, Gary M. – Socio-Economic Planning Sciences, 1979
A quantitative model is described for the optimal assignment of students to courses for their complete high school careers. Model-generated student schedules are found to be unfailing in their conformity to all the constraints of the test high school's curriculum. (Author/IRT)
Descriptors: Computer Programs, High School Students, High Schools, Mathematical Models

Cliff, Norman – Multivariate Behavioral Research, 1983
The dangers of overlooking time-honored cautions in the making causal interpretations of data analyses from correlational studies when using highly sophisticated computer programs and their associated techniques are discussed. (JKS)
Descriptors: Computer Programs, Goodness of Fit, Mathematical Models, Multivariate Analysis

Long, Cliff; Norton, Vic – Two-Year College Mathematics Journal, 1980
The application of Bezier polynomials in computer graphics to generate curves and surfaces is presented. The use of these curves to aid in the design of automobiles is featured, and a BASIC program designed to draw a simple caricature is included. (MP)
Descriptors: Computer Graphics, Computer Programs, Computers, Geometric Concepts

Bentler, Peter M.; Weeks, David G. – Multivariate Behavioral Research, 1979
Factor analysis in several populations, covariance structure models, three-mode factor analysis, structural equations systems with measurement model, and analysis of covariance with measurement model are all shown to be specializations of a general moment structure model. Some new structured linear models are also described. (Author/CTM)
Descriptors: Analysis of Covariance, Computer Programs, Critical Path Method, Factor Analysis

Stavig, Gordon R. – Journal of Experimental Education, 1983
A method is developed for testing a priori multiple regression models. The method allows one to specify in advance as many unstandardized or standardized coefficients as one wants to and allows the remaining slopes to be free to vary. (Author/PN)
Descriptors: Computer Programs, Hypothesis Testing, Mathematical Models, Multiple Regression Analysis