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Knight, D. G. – International Journal of Mathematical Education in Science and Technology, 2007
The use of digital elevation models, which represent the surface of the earth by a matrix of heights, has proved an ideal introductory topic for developing both the matrix-handling and computational skills of undergraduate mathematicians. This article looks at the solving of an easily understandable, but not necessarily simple problem: given a…
Descriptors: Algebra, Matrices, Mathematics Education, Maps
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Bates, Timothy C. – Intelligence, 2007
The general factor of mental ability ("g") may reflect general biological fitness. If so, "g"-loaded measures such as Raven's progressive matrices should be related to morphological measures of fitness such as fluctuating asymmetry (FA: left-right asymmetry of a set of typically left-right symmetrical body traits such as finger…
Descriptors: Geometry, Intelligence, Cognitive Ability, Matrices
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Al-Shabatat, Ahmad Mohammad; Abbas, Merza; Ismail, Hairul Nizam – International Journal of Special Education, 2009
Many people believe that environmental factors promote giftedness and invest in many programs to adopt gifted students providing them with challenging activities. Intellectual giftedness is founded on fluid intelligence and extends to more specific abilities through the growth and inputs from the environment. Acknowledging the roles played by the…
Descriptors: Intelligence, Test Items, Academically Gifted, Foreign Countries
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El-Gebeily, M.; Yushau, B. – International Journal of Mathematical Education in Science and Technology, 2008
In this note, we demonstrate with illustrations two different ways that MS Excel can be used to solve Linear Systems of Equation, Linear Programming Problems, and Matrix Inversion Problems. The advantage of using MS Excel is its availability and transparency (the user is responsible for most of the details of how a problem is solved). Further, we…
Descriptors: Mathematical Applications, Matrices, Spreadsheets, Computer Uses in Education
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Krijnen, Wim P. – Psychometrika, 2006
For the confirmatory factor model a series of inequalities is given with respect to the mean square error (MSE) of three main factor score predictors. The eigenvalues of these MSE matrices are a monotonic function of the eigenvalues of the matrix gamma[subscript rho] = theta[superscript 1/2] lambda[subscript rho] 'psi[subscript rho] [superscript…
Descriptors: Factor Analysis, Scores, Matrices, Error Patterns
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Hafdahl, Adam R. – Journal of Educational and Behavioral Statistics, 2007
The originally proposed multivariate meta-analysis approach for correlation matrices--analyze Pearson correlations, with each study's observed correlations replacing their population counterparts in its conditional-covariance matrix--performs poorly. Two refinements are considered: Analyze Fisher Z-transformed correlations, and substitute better…
Descriptors: Monte Carlo Methods, Correlation, Meta Analysis, Matrices
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Farag, Mark – Mathematics and Computer Education, 2007
Hill ciphers are linear codes that use as input a "plaintext" vector [p-right arrow above] of size n, which is encrypted with an invertible n x n matrix E to produce a "ciphertext" vector [c-right arrow above] = E [middle dot] [p-right arrow above]. Informally, a near-field is a triple [left angle bracket]N; +, *[right angle bracket] that…
Descriptors: Mathematics Instruction, Coding, Algebra, Geometric Concepts
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Cramer, Elliot M. – Psychometrika, 1974
A form of Browne's (1967) solution of finding a least squares fit to a specified factor structure is given which does not involve solution of an eigenvalue problem. It suggests the possible existence of a singularity, and a simple modification of Browne's computational procedure is proposed. (Author/RC)
Descriptors: Factor Analysis, Factor Structure, Matrices, Oblique Rotation
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Kaiser, Henry F. – Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Factor Analysis, Matrices, Multivariate Analysis
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Kaiser, Henry F. – Psychometrika, 1974
An index of factorial simplicity, employing a quartimax transformational criteria, is developed. This index is both for each row separately and for a factor pattern matrix as a whole. The index varies between zero and one. The problem of calibrating the index is discussed. (Author/RC)
Descriptors: Factor Analysis, Factor Structure, Matrices, Orthogonal Rotation
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Cramer, Elliot M. – Multivariate Behavioral Research, 1974
Descriptors: Correlation, Matrices, Multiple Regression Analysis, Multivariate Analysis
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Joe, George W.; Woodward, J. Arthur – Multivariate Behavioral Research, 1975
Descriptors: Correlation, Matrices, Sampling, Statistical Analysis
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McDonald, Roderick P. – Psychometrika, 1975
The treatment of covariance matrices given by McDonald (1974) can be readily modified to cover hypotheses prescribing zeros and equalities in the correlation matrix rather than the covariance matrix, still with the convenience of the closed-form Least Squares solution and the classical Newton method. (Author/RC)
Descriptors: Analysis of Covariance, Correlation, Hypothesis Testing, Matrices
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Holt, Michael – Mathematics in School, 1976
The life and work of J. J. Sylvester, a mathematician who developed the theory of determinants, are briefly described. (SD)
Descriptors: Algebra, Biographies, History, Mathematicians
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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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