Content: Scheme of three-mode data; The source of the problem in behavioral science and psychology; Concepts by Scales; Data Averaging; Why to use Three-mode analysis; Structural Equation Modeling; Three mode factor analysis; Natural extensions of two-way model
This paper shows how three-mode principal compo-nents analysis can be useful for the analysis of sem...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
Simple quantitative evaluations of isolate behavioral elements (i.e. frequencies, durations, per cen...
Content: Scheme of three-mode data; The source of the problem in behavioral science and psychology;...
In this paper three-mode analysis, in particular, three-mode principal component analysis and, to a ...
Notes that 2 important concepts in choosing from among several approaches to the MANOVA are redundan...
Supplemental material, JacobucciOpenPracticesDisclosure for A Practical Guide to Variable Selection ...
Content: Associations between two sets of variables; Redundancy analysis (FIA); Need for robust mul...
This paper shows how three-mode principal components analysis can be useful for the analysis of sem...
The focus of the present work are Structural Equation Models in the Redundancy Analysis framework (S...
Through external analysis of two-mode data one attempts to map the elements of one mode (e.g., attri...
TMFA, a FORTRAN program for three-mode factor analysis and individual-differences multidimensional s...
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...
Crucial feature of emergent phenomena is that, even if basic processes are fully elucidated and/or d...
This paper shows how three-mode principal compo-nents analysis can be useful for the analysis of sem...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
Simple quantitative evaluations of isolate behavioral elements (i.e. frequencies, durations, per cen...
Content: Scheme of three-mode data; The source of the problem in behavioral science and psychology;...
In this paper three-mode analysis, in particular, three-mode principal component analysis and, to a ...
Notes that 2 important concepts in choosing from among several approaches to the MANOVA are redundan...
Supplemental material, JacobucciOpenPracticesDisclosure for A Practical Guide to Variable Selection ...
Content: Associations between two sets of variables; Redundancy analysis (FIA); Need for robust mul...
This paper shows how three-mode principal components analysis can be useful for the analysis of sem...
The focus of the present work are Structural Equation Models in the Redundancy Analysis framework (S...
Through external analysis of two-mode data one attempts to map the elements of one mode (e.g., attri...
TMFA, a FORTRAN program for three-mode factor analysis and individual-differences multidimensional s...
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...
Crucial feature of emergent phenomena is that, even if basic processes are fully elucidated and/or d...
This paper shows how three-mode principal compo-nents analysis can be useful for the analysis of sem...
Three-way component analysis techniques are designed for descriptive analysis of 3-way data, for exa...
Simple quantitative evaluations of isolate behavioral elements (i.e. frequencies, durations, per cen...