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.
Pafundi, P. C., Vacca, G., Complex Redundancy Analysis models with covariate effect: a simulation study, in 47th Scientific Meeting of the Italian Statistical Society - p r o c e e d i n g s, (Cagliari, 11-13 June 2014), SIS, Cagliari 2014: N/A-N/A [http://hdl.handle.net/10807/120347]
Complex Redundancy Analysis models with covariate effect: a simulation study
Vacca, Gianmarco
Primo
Software
2014
Abstract
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.
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