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.
Il focus del presente lavoro sono i Modelli ad Equazioni Strutturali nell’ambito della Redundancy Analysis (SEM-RA) e, in particolare l’estensione della Redundancy Analysis a più di due insiemi di variabili, attraverso la Extended Redundancy Analysis, di cui si evidenzieranno i limiti in presenza di indicatori concomitanti. Si introdurrà, motivando assieme ad uno studio di simulazione che valuti le prestazioni del modello, in tre path diagrams a crescente complessità, l’introduzione come ulteriore estensione della Generalized Redundancy Analysis.
Pafundi, P., Vacca, G. (2014). 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.
Complex Redundancy Analysis models with covariate effect: a simulation study
PAFUNDI, PIA CLARA;VACCA, GIANMARCO
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.File | Dimensione | Formato | |
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