a type of
structural equation modeling used to examine a set of simultaneous
linear relationships between variables. Results are displayed using a figure in which boxes denote measured variables, bidirectional arrows show correlations, directional arrows show causal or predictive relations, and arrows coming from nowhere show error associated with the prediction model. Each variable is expressed as a linear
function of the preceding variable as well as by a unique
latent variable; the weights and
standard errors for each coefficient provide information about the size of the
parameter.
Goodness of fit is tested by comparing models with more pathways to models with fewer pathways. Also called
path modeling. See
path diagram.