Path analysis with composite variables

Six methods for fitting path models with weighted composites of variables replacing latent variables (of which five are easily implemented with conventional computer software) are introduced and related to ''soft modelling'' by Partial Least Squares. Criteria for comparing their performance are devised, and some evaluative remarks are offered.