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Samejima, Fumiko – Psychometrika, 1974
Descriptors: Factor Analysis, Latent Trait Theory, Matrices, Models
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Spence, Ian; Domoney, Dennis W. – Psychometrika, 1974
Monte Carlo procedures were used to investigate the properties of a nonmetric multidimensional scaling algorithm when used to scale an incomplete matrix of dissimilarities. Recommendations for users wishing to scale incomplete matrices are made. (Author/RC)
Descriptors: Algorithms, Comparative Analysis, Correlation, Matrices
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Vitaliano, Peter P.; Halperin, Silas – Educational and Psychological Measurement, 1975
Descriptors: Computer Programs, Hypothesis Testing, Matrices, Sampling
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Katzenmeyer, William G.; Stenner, A. Jackson – Educational and Psychological Measurement, 1975
The problem of demonstrating replicability of factor structure across random variables is addressed. Procedures are outlined which combine the use of random subsample replication strategies with the correlations between factor score estimates across replicate pairs to generate a coefficient of replicability and confidence intervals associated with…
Descriptors: Correlation, Factor Analysis, Factor Structure, Matrices
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Barcikowski, Robert S.; Stevens, James P. – Multivariate Behavioral Research, 1975
Results showed that the canonical correlations are very stable upon replication. The results also indicated that there is no solid evidence for concluding that components are superior to the coefficients, at least not in terms of being more reliable. (Author/BJG)
Descriptors: Correlation, Factor Analysis, Matrices, Monte Carlo Methods
Thiemann, Francis C. – 1979
Semiotic analysis is a method of analyzing signs (e.g., words) to reduce non-numeric data to their component parts without losing essential meanings. Semiotics dates back to Aristotle's analysis of language; it was much advanced by nineteenth-century analyses of style and logic and by Whitehead and Russell's description in this century of the role…
Descriptors: Data Analysis, Definitions, Intellectual History, Logic
Gammel, J. D. – 1975
The measurement of affect to support the achievement or nonachievement of affective education goals is an unresolved problem for educational institutions. The paper outlines a means for both developing an affective goal structure and identifying measurable indicators of affective behavior. To achieve this, it defines and discusses concepts related…
Descriptors: Affective Measures, Affective Objectives, Classification, Elementary Secondary Education
Pandey, Tej N. – 1975
Standard errors of pooled mean estimate in multiple matrix sampling were compared for two procedures. The data were from tests involving items with and without replacement. The two procedures involve the formulations of Madow and Lord, and Novick; the former permits sampling of item, with or without replacement, whereas the latter is to be used…
Descriptors: Comparative Analysis, Error of Measurement, Item Sampling, Matrices
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Yovits, M. C.; Abilock, Judith G. – 1974
If information science is to be considered a "science" in the true sense of the word, a set of general concepts and analytical expressions must be developed. Fundamental to this development is a rigorous and quantifiable measure of information. In previous papers a general framework, called a generalized information system, is suggested…
Descriptors: Information Science, Information Theory, Mathematical Models, Matrices
Dziuban, Charles D.; And Others – 1976
The distributional characteristics of the Kaiser-Rice measure of sampling adequacy (MSA) were investigated with sample correlation matrices from multivariate normal populations where the level of correlation (LC) was systematically varied. Two additional variables were manipulated--sample size (SS) and number of variables (NV). Ten matrices were…
Descriptors: Analysis of Variance, Correlation, Factor Analysis, Matrices
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Krus, David J.; Weiss, David J. – Multivariate Behavioral Research, 1976
Results of empirical comparisons of an inferential model of order analysis with factor analytic models were reported for two sets of data. On the prestructured data set both order and factor analytic models returned its dimensions of length, width and height, but on the random data set the factor analytic models indicated the presence of…
Descriptors: Comparative Analysis, Data Analysis, Factor Analysis, Mathematical Models
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Schultz, James V.; Hubert, Lawrence – Journal of Educational Statistics, 1976
Illustrates a simple nonparametric alternative that can be used to test a hypothesis that two proximity matrices on the same set of variables or objects reflect a similar pattern of high and low entries. (RC)
Descriptors: Correlation, Data Analysis, Hypothesis Testing, Matrices
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McQuitty, Louis L.; Koch, Valerie L. – Educational and Psychological Measurement, 1975
A rapid method for hierarchically clustering the n objects of a matrix which portrays the interrelation of every object to every other object, where n equals any number up to 1,000 and even larger, is developed and discussed. Results compare favorably with those from other excellent methods. (Author/BJG)
Descriptors: Cluster Analysis, Comparative Analysis, Evaluation Methods, Matrices
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Crawford, Charles B.; DeFries, J. C. – Multivariate Behavioral Research, 1978
The application of component analysis to phenotypic, genetic, and environmental correlation matrices is discussed. Formulas for computation of component scores and the interpretation of factors is discussed. An example is presented. (Author/JKS)
Descriptors: Correlation, Environmental Research, Factor Analysis, Genetics
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Lance, Charles E. – Multivariate Behavioral Research, 1986
The logic and procedures underlying a disturbance term regression test of logical consistency for structural models are reviewed for recursive and nonrecursive designs. It is shown that in a simple three-variable, complete mediational case the test procedure is mathematically equivalent to a part correlation. (Author/LMO)
Descriptors: Correlation, Hypothesis Testing, Mathematical Models, Matrices
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