Kenny-Judd (1984) example -- Marsh unconstrained approach
DA NI=9 NO=500 MA=CM
LA
x1 x2 z1 z2 x1_z1 x1_z2 x2_z1 x2_z2 y 
CM FI=KJEXAMPL.CM
ME
0 0 0 0 0 0 0 0 5.0
SE
y    x1 x2    z1 z2    x1_z1            x2_z2  /
!  selecting the product of the first measures
!  and the product of the second measures 

MO NY=1 NE=1 NX=6 NK=3 PS=SY PH=SY GA=FU,FR C
                LX=FU,FI LY=FU,FI TD=SY TE=SY,FI KA=FI AL=FR TY=FI

LE
ETA_Y
LK
X   Z   XZ

!  Here's the main effects measurement model
VA 1.0 LY(1,1)
VA 1.0 LX(1,1) LX(3,2)
FR LX(2,1) LX(4,2)

!   Unconstrained--let PHI be free
!FI PH(3,1) PH(3,2)
!CO PH(3,3) = PH(1,1) * PH(2,2) + PH(2,1)^2

!  Here is Marsh's specification  for Kappa
CO KA(3) = PH(2,1)

!  Unconstrained--just estimate these loadings (except for reference var)
VA 1.0 LX(5,3)
!  CO LX(6,3) = LX(2,1) * LX(4,2)
FR LX(6,3)

!  Unconstrained--estimated error variances freely
! CO TD(5,5) = PH(1,1) * TD(3,3) + PH(2,2) * TD(1,1) + TD(1,1) * TD(3,3)
! CO TD(6,6) = PH(1,1) * TD(4,4) * LX(2,1)^2 + PH(2,2) * TD(2,2) * LX(4,2)^2      C
!                          + TD(2,2) * TD(4,4)

OU AD=OFF RS MI