This paper shows how three-mode principal components analysis can be useful for the analysis of semantic differential ratings, in particular because no summation is necessary over any one mode. The use of "joint plots" (a variant of the biplot) and sums-of- squares interpretations is explained and illustrated
A number of methods for the analysis of three-way data are described and shown to be variants of pri...
summary:Statistical analysis of compositional data, multivariate observations carrying only relative...
A method that indicates the numbers of components to use in fitting the three-mode principal compone...
This paper shows how three-mode principal compo-nents analysis can be useful for the analysis of sem...
Through external analysis of two-mode data one attempts to map the elements of one mode (e.g., attri...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
In this paper three-mode analysis, in particular, three-mode principal component analysis and, to a ...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
Other publications in this series: Jacqueline Meulman, Homogeneity analysis of incomplete data. M &a...
For the analysis of three-mode data sets (i.e., data sets pertaining to three different sets of enti...
For the exploratory analysis of three-way data, the Tucker3 is one of the most applied models to stu...
TMFA, a FORTRAN program for three-mode factor analysis and individual-differences multidimensional s...
The three-mode component analysis model is discussed as a tool for a contextualized study of persona...
The three-mode component analysis model is discussed as a tool for a contextualized study of persona...
Kroonenberg and de Leeuw (1980) have developed an alternating least-squares method TUCKALS-3 as a so...
A number of methods for the analysis of three-way data are described and shown to be variants of pri...
summary:Statistical analysis of compositional data, multivariate observations carrying only relative...
A method that indicates the numbers of components to use in fitting the three-mode principal compone...
This paper shows how three-mode principal compo-nents analysis can be useful for the analysis of sem...
Through external analysis of two-mode data one attempts to map the elements of one mode (e.g., attri...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
In this paper three-mode analysis, in particular, three-mode principal component analysis and, to a ...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
Other publications in this series: Jacqueline Meulman, Homogeneity analysis of incomplete data. M &a...
For the analysis of three-mode data sets (i.e., data sets pertaining to three different sets of enti...
For the exploratory analysis of three-way data, the Tucker3 is one of the most applied models to stu...
TMFA, a FORTRAN program for three-mode factor analysis and individual-differences multidimensional s...
The three-mode component analysis model is discussed as a tool for a contextualized study of persona...
The three-mode component analysis model is discussed as a tool for a contextualized study of persona...
Kroonenberg and de Leeuw (1980) have developed an alternating least-squares method TUCKALS-3 as a so...
A number of methods for the analysis of three-way data are described and shown to be variants of pri...
summary:Statistical analysis of compositional data, multivariate observations carrying only relative...
A method that indicates the numbers of components to use in fitting the three-mode principal compone...