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Showing 1 to 15 of 33 results Save | Export
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Rahayu, Sri; Sugiarto, Teguh; Madu, Ludiro; Holiawati; Subagyo, Ahmad – International Journal of Educational Methodology, 2017
This study aims to apply the model principal component analysis to reduce multicollinearity on variable currency exchange rate in eight countries in Asia against US Dollar including the Yen (Japan), Won (South Korea), Dollar (Hong Kong), Yuan (China), Bath (Thailand), Rupiah (Indonesia), Ringgit (Malaysia), Dollar (Singapore). It looks at yield…
Descriptors: Foreign Countries, Factor Analysis, Multiple Regression Analysis, Correlation
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Sims, Paul A. – Journal of Chemical Education, 2012
A brief history of the development of the empirical equation that is used by prominent, Internet-based programs to estimate (or calculate) the extinction coefficients of proteins is presented. In addition, an overview of a series of related assignments designed to help students understand the origin of the empirical equation is provided. The…
Descriptors: Biochemistry, College Science, Science Instruction, Undergraduate Students
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Khatri, 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
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Cramer, Elliot M. – Multivariate Behavioral Research, 1974
Descriptors: Correlation, Matrices, Multiple Regression Analysis, Multivariate Analysis
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Olkin, Ingram – Psychometrika, 1981
It is known that for trivariate distributions, if two correlations are fixed, the remaining correlation is constrained. If just one is fixed, the remaining two are constrained. Both results are extended to the case of a multivariate distribution. (Author/JKS)
Descriptors: Correlation, Data Analysis, Matrices, Multiple Regression Analysis
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Cramer, Elliot M. – Multivariate Behavioral Research, 1974
Descriptors: Correlation, Matrices, Multiple Regression Analysis, Multivariate Analysis
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McDonald, Roderick P.; And Others – Psychometrika, 1979
Problems in avoiding the singularity problem in analyzing matrices for optimal scaling are addressed. Conditions are given under which the stationary points and values of a ratio of quadratic forms in two singular matrices can be obtained by a series of simple matrix operations. (Author/JKS)
Descriptors: Factor Analysis, Matrices, Measurement, Multiple Regression Analysis
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Kaufman, David; Sweet, Robert – American Educational Research Journal, 1974
The use of multiple regression as a data-analytic tool is examined for the cases of balanced and unbalanced designs. The utility of this method for testing specific contrasts, both orthogonal and nonorthogonal is discussed and some interpretive cautions are examined. (Author)
Descriptors: Analysis of Variance, Codification, Matrices, Multiple Regression Analysis
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Montanelli, Richard G.; Humphreys, Lloyd G. – Psychometrika, 1976
In order to make the parallel analysis criterion for determining the number of factors in factor analysis easy to use, regression equations for predicting the logarithms of the latent roots of random correlation matrices, with squared multiple correlations on the diagonal, are presented. (Author/JKS)
Descriptors: Correlation, Factor Analysis, Matrices, Monte Carlo Methods
Wolfle, Lee M.; Ethington, Corinna A. – 1985
The purpose of this paper is to examine the validity of regression estimates when skewed dichotomous scales are used as independent variables. When Pearson product-moment correlations are used to measure zero-order associations involving dichotomous variables, the resulting coefficients underestimate the true associations. As a result, using…
Descriptors: Correlation, Estimation (Mathematics), Matrices, Multiple Regression Analysis
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Johnson, Richard M. – Psychometrika, 1975
A simple method of monotone regression is described based on the principle of minimizing pairwise departures from monotonicity. (Author)
Descriptors: Analysis of Variance, Goodness of Fit, Matrices, Measurement Techniques
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Vasu, Ellen Storey – Educational and Psychological Measurement, 1978
The effects of the violation of the assumption of normality in the conditional distributions of the dependent variable, coupled with the condition of multicollinearity upon the outcome of testing the hypothesis that the regression coefficient equals zero, are investigated via a Monte Carlo study. (Author/JKS)
Descriptors: Correlation, Hypothesis Testing, Matrices, Monte Carlo Methods
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McDonald, Roderick P. – Psychometrika, 1978
The relationship between the factor structure of a convariance matrix and the factor structure of a partial convariance matrix when one or more variables are partialled out of the original matrix is given in this brief note. (JKS)
Descriptors: Analysis of Covariance, Correlation, Factor Analysis, Factor Structure
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Bentler, P. N.; Freeman, Edward H. – Psychometrika, 1983
Interpretations regarding the effects of exogenous and endogenous variables on endogenous variables in linear structural equation systems depend upon the convergence of a matrix power series. The test for convergence developed by Joreskog and Sorbom is shown to be only sufficient, not necessary and sufficient. (Author/JKS)
Descriptors: Data Analysis, Mathematical Models, Matrices, Multiple Regression Analysis
Ping, Chieh-min; Tucker, Ledyard R. – 1976
Prediction for a number of criteria from a set of predictor variables in a system of regression equations is studied with the possibilities of linear transformations applied to both the criterion and predictor variables. Predictive composites representing a battery of predictor variables provide identical estimates of criterion scores as do the…
Descriptors: Correlation, Factor Analysis, Matrices, Multiple Regression Analysis
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