TITLE: this is an example of a Bayesian MIMIC model with cross-loadings and direct effects with zero-mean and small-variance priors
DATA: FILE = ex5.32.dat;
VARIABLE: NAMES = y1-y6 x1-x3;
ANALYSIS: ESTIMATOR = BAYES;
PROCESSORS = 2;
MODEL: f1 BY y1-y3
y4-y6 (xload4-xload6);
f2 BY y4-y6
y1-y3 (xload1-xload3);
f1-f2 ON x1-x3;
y1-y6 ON x1-x3 (dir1-dir18);
MODEL PRIORS:
xload1-xload6~N(0,0.01);
dir1-dir18~N(0,0.01);
PLOT: TYPE = PLOT2;