The focus of the present work are Structural Equation Models in the Redundancy Analysis framework (SEM-RA) and, in particular, the extension of Redundancy Analysis to more than two sets of variables, with the recently developed Extended Redundancy Analysis as the major outline. Drawbacks of the model in presence of concomitant indicators will be highlighted, thus introducing a further extension, Generalized Redundancy Analysis, whose introduction will be motivated, along with a simulation study aimed to assess the performance of the model, in three path diagrams at increasing complexity
Structural Equation Modeling (SEM) is widely used in behavioural, social and eco-nomic studies to an...
1. Tests of significance of the individual canonical axes in redundancy analysis allow researchers t...
Structural Equation Modeling (SEM), as a statistical modeling technique, is one of the most comprehe...
The focus of the present work are Structural Equation Models in the Redundancy Analysis framework (S...
A new approach to structural equation modeling based on so-called extended redundancy analysis has b...
We show how to determine the parameter redundancy status of a model with covariates from that of the...
In the framework of redundancy analysis and reduced rank regression, the extended redundancy analysi...
A new approach to structural equation modeling based on so-called extended redundancy analysis has b...
A component method is presented maximiz ing Stewart and Love's redundancy index. Relationships ...
International audienceThere are a lot of statistical problems connected with the redundancy among mu...
Traditionally, two approaches have been employed for structural equation modeling: covariance struct...
A non-linear version of redundancy analysis is introduced. The technique is called REDUNDALS. It is ...
Content: Scheme of three-mode data; The source of the problem in behavioral science and psychology;...
Necessary and sufficient conditions are established for the parameter redundancy of a wide class of ...
Structural equation modeling is a statistical analysis technique used to analyse structural relation...
Structural Equation Modeling (SEM) is widely used in behavioural, social and eco-nomic studies to an...
1. Tests of significance of the individual canonical axes in redundancy analysis allow researchers t...
Structural Equation Modeling (SEM), as a statistical modeling technique, is one of the most comprehe...
The focus of the present work are Structural Equation Models in the Redundancy Analysis framework (S...
A new approach to structural equation modeling based on so-called extended redundancy analysis has b...
We show how to determine the parameter redundancy status of a model with covariates from that of the...
In the framework of redundancy analysis and reduced rank regression, the extended redundancy analysi...
A new approach to structural equation modeling based on so-called extended redundancy analysis has b...
A component method is presented maximiz ing Stewart and Love's redundancy index. Relationships ...
International audienceThere are a lot of statistical problems connected with the redundancy among mu...
Traditionally, two approaches have been employed for structural equation modeling: covariance struct...
A non-linear version of redundancy analysis is introduced. The technique is called REDUNDALS. It is ...
Content: Scheme of three-mode data; The source of the problem in behavioral science and psychology;...
Necessary and sufficient conditions are established for the parameter redundancy of a wide class of ...
Structural equation modeling is a statistical analysis technique used to analyse structural relation...
Structural Equation Modeling (SEM) is widely used in behavioural, social and eco-nomic studies to an...
1. Tests of significance of the individual canonical axes in redundancy analysis allow researchers t...
Structural Equation Modeling (SEM), as a statistical modeling technique, is one of the most comprehe...