Traditionally, two approaches have been employed for structural equation modeling: covariance structure analysis and partial least squares. A third alternative, generalized structured component ...

Hikari Saho, Daisuke Ekuni, Kota Kataoka, Ayano Taniguchi-Tabata, Naoki Toyama, Yoshio Sugiura, Md Monirul Islam, Yoshiaki Iwasaki, Manabu Morita, Structural equation modeling to detect predictors of ...

Statistical model infrastructures at financial institutions are often developed using a piecemeal approach to model building, in which different components of complex interrelated statistical models ...

Regulators need a method that is versatile, is easy to use and can handle complex path models with latent (not directly observable) variables. In a first application of partial least squares ...