A Component-Based Approach to Structural Equation Modeling
Developed by the authors, generalized structured component analysis is an alternative to two longstanding approaches to structural equation modeling: covariance structure analysis and partial least squares path modeling. Generalized structured component analysis allows researchers to evaluate the...
Published December 11th 2014 by Chapman and Hall/CRC
In multivariate data analysis, regression techniques predict one set of variables from another while principal component analysis (PCA) finds a subspace of minimal dimensionality that captures the largest variability in the data. How can regression analysis and PCA be combined in a beneficial...
Published October 24th 2013 by Chapman and Hall/CRC