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Westphalen, Linda – Collected Essays on Learning and Teaching, 2009
In the School of Education at the University of Adelaide, the use of oral evidence is increasingly common as students engage with reflective practices now dominant in teacher-education programs. These experiences offer both a dynamic perspective and a challenge to academic assessors and raise three questions, each of which are addressed in this…
Descriptors: Foreign Countries, Teacher Education Programs, Prior Learning, Knowledge Level
Gray, B. Thomas – 1997
Higher order factor analysis is an extension of factor analysis that is little used, but which offers the potential to model the hierarchical order often seen in natural (including psychological) phenomena more accurately. The process of higher order factor analysis is reviewed briefly, and various interpretive aids, including the Schmid-Leiman…
Descriptors: Correlation, Factor Analysis, Matrices, Orthogonal Rotation
Peer reviewedVegelius, Jan – Educational and Psychological Measurement, 1975
The program can compute a great number of different correlation and other statistical measures. The user is free to select among the measures and also among the variables that are read by the program. When a particular set of variables has been treated in the prescribed way, a new set may follow together with new measure definitions. (Author)
Descriptors: Computer Programs, Correlation, Matrices, Statistical Analysis
Peer reviewedKaiser, Henry F. – Multivariate Behavioral Research, 1974
A desirable property of the equamax criterion for analytic rotation in factor analysis is presented. (Author)
Descriptors: Correlation, Factor Analysis, Matrices, Orthogonal Rotation
Peer reviewedDziuban, Charles D.; Shirkey, Edwin C. – American Educational Research Journal, 1974
Descriptors: Correlation, Factor Analysis, Matrices, Statistical Analysis
Peer reviewedHuck, Schuyler W.; Layne, Benjamin H. – Educational and Psychological Measurement, 1974
Descriptors: Analysis of Variance, Matrices, Statistical Analysis
Peer reviewedMeyer, Edward P. – Educational and Psychological Measurement, 1975
Bounds are obtained for a coefficient proposed by Kaiser as a measure of average correlation and the coefficient is given an interpretation in the context of reliability theory. It is suggested that the root-mean-square intercorrelation may be a more appropriate measure of degree of relationships among a group of variables. (Author)
Descriptors: Correlation, Matrices, Statistical Analysis, Test Reliability
Peer reviewedShirkey, Edwin C.; Dziuban, Charles D. – Multivariate Behavioral Research, 1976
Distributional characteristics of the measure of sampling adequacy (MSA) were investigated in sample correlation matrices generated from multivariate normal populations with covariance matrix equal to the identity. Systematic variation of sample size and number of variables resulted in minimal fluctuation of the overall MSA from .50. (Author/RC)
Descriptors: Factor Analysis, Matrices, Sampling, Statistical Analysis
Peer reviewedBentler, P. M.; Wingard, Joseph A. – Psychometrika, 1977
A scale-invariant simple structure function of previously studied function components for principal component analysis and factor analysis is defined. First and second partial derivatives are obtained, and Newton-Raphson iterations are utilized. The resulting solutions are locally optimal and subjectively pleasing. (Author/JKS)
Descriptors: Calculus, Factor Analysis, Matrices, Oblique Rotation
Peer reviewedKhatri, C. G.; Rao, C. Radhakrishna – Journal of Multivariate Analysis, 1976
Considers some characterizations of the multivariate normal distribution based on properties of linear functions of dependent vector variables. (RC)
Descriptors: Matrices, Multiple Regression Analysis, Statistical Analysis
Peer reviewedConger, Anthony J.; Stallard, Eric – Educational and Psychological Measurement, 1976
Maximally reliable composites found in canonical reliability when expressed in the form of a canonical factor analysis solution are shown to have highly desirable data reduction properties. Theoretical relationships among canonical factor analysis, principal components analysis and canonical reliability analysis are emphasized. (Author/JKS)
Descriptors: Factor Analysis, Matrices, Multivariate Analysis, Reliability
Peer reviewedKaiser, Henry F. – Psychometrika, 1976
Following the work of Tucker, Cooper, and Meredith, image and anti-image covariance matrices from a correlation matrix that may be singular are derived. The algebra of image and anti-image covariance matrices and the work of Tucker, Cooper, and Meredith are reviewed. (Author/JKS)
Descriptors: Analysis of Covariance, Correlation, Imagery, Matrices
Peer reviewedWellington, Roger – Psychometrika, 1976
Generalized symmetric means are redefined in a way which allows them to be calculated for any matrix sampling design. It is proved that these sample generalized symmetric means are unbiased estimates of the analogous population generalized symmetric means. Illustrative examples are given. (Author)
Descriptors: Item Sampling, Matrices, Research Design, Sampling
Peer reviewedRaju, Nambury S. – Educational and Psychological Measurement, 1983
A direct proof of Tucker, Cooper, and Meredith's procedure for obtaining the squared multiple correlations from a singular correlation matrix is given. (Author)
Descriptors: Correlation, Matrices, Proof (Mathematics), Statistical Analysis
Fales, James F.; Kuetemeyer, Vincent F. – Man/Society/Technology, 1982
The authors recommend a more appropriate curriculum for transportation in industrial arts than that currently in use. They say this could be achieved by adding an economic and human behavior emphasis to the mechanical orientation proposed by other educators. (CT)
Descriptors: Curriculum Development, Industrial Arts, Matrices, Transportation


