title: this is an example of an exploratory
factor analysis with continuous
factor indicators
montecarlo:
names = y1-y12;
nobs = 500;
nreps = 1;
save = ex4.1a.dat;
model population:
f1 by y1-y3*.7;
f2 by y4-y6*.7;
f3 by y7-y9*.7;
f4 by y10-y12*.7;
y1-y12*.51;
!this gives unit y variances so that
!EFA estimates are in the same metric
f1-f4@1;
model:
f1 by y1-y3*.7;
f2 by y4-y6*.7;
f3 by y7-y9*.7;
f4 by y10-y12*.7;
y1-y12*.51;
f1-f4@1;
output:
tech9;