Add to ORKGA procedure similar to an analysis of variance is presented for examining the structure in correlation matrices whose variables are cross-classified by two factors, such as multitrait-multimethod matrices. The method tests an equal correlation hypothesis against natural alternative hypotheses suggested by group representations. When there is sig-nificant departure from the hypothesized pattern, alternative models to be pursued are indicated. The method is illustrated using an example
Guttman's "rank-reduction " theorem is employed to demonstrate how mcst of the algebr...
<p>For each group (survivor or non-survivor), ten thousands parameter sets were randomly sampled fro...
A classical advantage of factor analysis is its provision for possible generalizability of the &...
A common problem in social, educational, behavioral and biological research is to investigate relati...
Abstract: Multivariate approach to generate variance covariance and partial correlation coefficients...
An equal-level approach that yields new information for the evaluation of multitrait-multimethod (...
In the present work, multiple data spaces, in which the same variables are measured on different sou...
In recent years there has been a marked increase in the application of the methods of factor analysi...
Analysis of linear relations between two variables can be investigated in the multiway case, general...
The present paper discusses several methods for (simultaneous) component analysis of scores of two o...
There are two distinct areas of research on which the work in this thesis impinges. They are methods...
Correlational techniques are important tools in multivariate behavioural and social science explora...
<p>A graphical depiction of the correlation matrix for gene pairs where both genes belong to the fun...
AbstractMultidimensional scaling, item response theory, and factor analysis may be considered three ...
A method for comparing the cross-validated classification accuracies of predictive discriminant anal...
Guttman's "rank-reduction " theorem is employed to demonstrate how mcst of the algebr...
<p>For each group (survivor or non-survivor), ten thousands parameter sets were randomly sampled fro...
A classical advantage of factor analysis is its provision for possible generalizability of the &...
A common problem in social, educational, behavioral and biological research is to investigate relati...
Abstract: Multivariate approach to generate variance covariance and partial correlation coefficients...
An equal-level approach that yields new information for the evaluation of multitrait-multimethod (...
In the present work, multiple data spaces, in which the same variables are measured on different sou...
In recent years there has been a marked increase in the application of the methods of factor analysi...
Analysis of linear relations between two variables can be investigated in the multiway case, general...
The present paper discusses several methods for (simultaneous) component analysis of scores of two o...
There are two distinct areas of research on which the work in this thesis impinges. They are methods...
Correlational techniques are important tools in multivariate behavioural and social science explora...
<p>A graphical depiction of the correlation matrix for gene pairs where both genes belong to the fun...
AbstractMultidimensional scaling, item response theory, and factor analysis may be considered three ...
A method for comparing the cross-validated classification accuracies of predictive discriminant anal...
Guttman's "rank-reduction " theorem is employed to demonstrate how mcst of the algebr...
<p>For each group (survivor or non-survivor), ten thousands parameter sets were randomly sampled fro...
A classical advantage of factor analysis is its provision for possible generalizability of the &...