Article ID Journal Published Year Pages File Type
6869719 Computational Statistics & Data Analysis 2015 14 Pages PDF
Abstract
A vital extension to partial least squares (PLS) path modeling is introduced: consistency. While maintaining all the strengths of PLS, the consistent version provides two key improvements. Path coefficients, parameters of simultaneous equations, construct correlations, and indicator loadings are estimated consistently. The global goodness-of-fit of the structural model can also now be assessed, which makes PLS suitable for confirmatory research. A Monte Carlo simulation illustrates the new approach and compares it with covariance-based structural equation modeling.
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
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