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Dziuban, Charles D.; And Others – Educational and Psychological Measurement, 1975
An illustration of a test for independence was provided with a mixed set of variables. The matrix consisted of 10 tests of interest and four random deviates in which the relationship between sets was demonstrated to be minimal. The result was discussed for a situation in which factoring methods might be considered. (Author)
Descriptors: Factor Analysis, Hypothesis Testing, Matrices
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Jennrich, Robert I. – Psychometrika, 1978
Under mild assumptions, when appropriate elements of a factor loading matrix are specified to be zero, all orthogonally equivalent matrices differ at most by column sign changes. A variety of results are given here for the more complex case in which the specified values are not necessarily zero. (Author/JKS)
Descriptors: Factor Analysis, Hypothesis Testing, Matrices, Orthogonal Rotation
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Jackson, Douglas N.; Morf, Martin E. – Multivariate Behavioral Research, 1974
A method is proposed and illustrated for estimating the degree to which a factor rotation to a hypothesized target represents an improvement over rotation to a random target. (Author)
Descriptors: Factor Analysis, Goodness of Fit, Hypothesis Testing, Matrices
Peer reviewed Peer reviewed
McDonald, Roderick P. – Psychometrika, 1975
Descriptors: Analysis of Covariance, Factor Analysis, Hypothesis Testing, Matrices
Peer reviewed Peer reviewed
Schurr, K. Terry; Henriksen, L. W. – Educational and Psychological Measurement, 1984
Provided is a description of three methods for testing certain types of a priori hypotheses about differences among covariance matrices. Briefly outlined are procedures for using two computer programs, COFAMM and LISREL, for testing such hypotheses. Also provided are examples of application of the methods to a meaningful data set. (Author/BW)
Descriptors: Analysis of Covariance, Computer Software, Factor Analysis, Hypothesis Testing
Peer reviewed Peer reviewed
Bentler, Peter M. – Multivariate Behavioral Research, 1976
A general statistical model for the multivariate analysis of mean and covariance structures is described. Matrix calculus is used to develop the statistical aspects of one new special case in detail. This special case separates the confounding of principal components and factor analysis. (DEP)
Descriptors: Analysis of Covariance, Calculus, Comparative Analysis, Factor Analysis
Peer reviewed Peer reviewed
Rezmovic, Eva Lantos; Rezmovic, Victor – Educational and Psychological Measurement, 1981
A multitrait-multimethod matrix containing two methods of measuring 12 personality traits was analyzed and confirmatory factor analysis was applied to the data. Although unexplained variance remained, method factors and a general personality factor significantly improved the fit of a model containing only trait factors. (Author/RL)
Descriptors: Factor Analysis, Goodness of Fit, Hypothesis Testing, Mathematical Models
Hall, Charles E.; And Others – 1973
The VARAN (variance Analysis) program is an addition to a series of computer programs for multivariate analysis of variance. The development of VARAN exploits the full linear model. Analysis of variance, univariate and multivariate, is the program's main target. Correlation analysis of all types is available with printout in the vernacular of…
Descriptors: Analysis of Variance, Computer Programs, Correlation, Data Processing
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection