Presented is a sample of computerized methods aimed at multidimensional scaling and psychometric item analysis that offer a dynamic graphical interface to execute analyses and help visualize the results. These methods show how the Lisp-Stat programming language and the ViSta statistical program...

We propose an improved method for generalized constrained canonical correlation analysis (GCCANO). In GCCANO, data matrices are first decomposed into several submatrices according to some external information on rows and columns of the data matrices. Decomposed matrices are then subjected to...

Generalized Structured Component Analysis (GSCA) was recently introduced by Hwang and Takane (2004) as a component-based approach to path analysis with latent variables. The parameters of GSCA are estimated by pooling data across respondents under the implicit assumption that they all come from...