Newsgroups: bit.listserv.stat-l
Date:         Tue, 15 Dec 1992 14:27:48 CST
From:         Roger Brown <rbrown@MADDOG.FAMMED.WISC.EDU>
Subject:      MANOVA and LISREL

EXCUSE THE DOUBLE POSTING ON STAT-L AND EDSTAT-L

I have a LISREL question. I have been building MANOVA models using LISREL7,
for
example a simple 2 group 4 dependent variable model. While this has been
working well using the following model (see the runstreams), I would like
to
pursue a model using the WLS estimator with an asymptotic covariance
matrix,
subsequently exploring Browne's asymptotic distribution free estimator.
This will not work with my current modeling strategy. Can anyone see
another
way of modeling MANOVA models in LISREL that could use the WLS estimator
and
the asymptotic covariance matrix? I have been experimenting with a variety
of
models, and the closest I can come is modeling the means and the variances
for
a MANOVA model, less the covariances. This was accomplised by the use of
Joreskog's
tau-X and Kappa matrices, but here I have run into a stonewall. Any
suggestions
would be greatly appreciated. Thanks

RLB
============================================================================
===

LISREL7 RUNSTREAM
---------------------------------------------------------

HYPOTHESIS: EQUALITY CONSTRAINTS ON MEANS NO CONSTRAINTS ON COVARIANCES

TI GROUP COMPARISONS : EQUAL MEANS UNEQUAL COVARIANCES
DA NI=4 NO=100 NG=2 MA=AM
RA FI=FILE1.DAT
MO NX=5 NK=1 LX=FU,FR TD=SY,FR PH=SY,FR
FI TD(5,1) TD(5,2) TD(5,3) TD(5,4) TD(5,5)
FI LX(5,1)
VA 1 LX(5,1)
ST .5 ALL
ST 1 TD(1,1) TD(2,2) TD(3,3) TD(4,4)
ST 1 PH(1,1)
OU NS SE TV PC
TI SECOND GROUP
DA NI=4 NO=100 MA=AM
RA FI=FILE2.DAT
MO NX=5 NK=1 PH=PS TD=PS LX=IN
OU NS SE TV PC
---------------------------------------------------------

HYPOTHESIS: EQUALITY CONSTRAINTS ON COVARIANCES NO CONSTRAINTS ON MEANS

TI GROUP COMPARISONS : UNEQUAL MEANS EQUAL COVARIANCES
DA NI=4 NO=100 NG=2 MA=AM
RA FI=FILE1.DAT
MO NX=5 NK=1 LX=FU,FR TD=SY,FR PH=SY,FR
FI TD(5,1) TD(5,2) TD(5,3) TD(5,4) TD(5,5)
FI LX(5,1)
VA 1 LX(5,1)
ST .5 ALL
ST 1 TD(1,1) TD(2,2) TD(3,3) TD(4,4)
ST 1 PH(1,1)
OU NS SE TV PC
TI SECOND GROUP
DA NI=4 NO=100 MA=AM
RA FI=FILE2.DAT
MO NX=5 NK=1 PH=PS TD=IN LX=PS
OU NS SE TV PC
---------------------------------------------------------

HYPOTHESIS: EQUALITY CONSTRAINTS ON COVARIANCES  MEANS

TI GROUP COMPARISONS : EQUAL MEANS EQUAL COVARIANCES
DA NI=4 NO=100 NG=2 MA=AM
RA FI=FILE1.DAT
MO NX=5 NK=1 LX=FU,FR TD=SY,FR PH=SY,FR
FI TD(5,1) TD(5,2) TD(5,3) TD(5,4) TD(5,5)
FI LX(5,1)
VA 1 LX(5,1)
ST .5 ALL
ST 1 TD(1,1) TD(2,2) TD(3,3) TD(4,4)
ST 1 PH(1,1)
OU NS SE TV PC
TI SECOND GROUP
DA NI=4 NO=100 MA=AM
RA FI=FILE2.DAT
MO NX=5 NK=1 PH=PS TD=IN LX=IN
OU NS SE TV PC
---------------------------------------------------------


=====================================================================
R. L. Brown, Ph.D.
Professor
Statistics & Design Unit
School of Nursing                                           ----
Clinical Science Center and                                /    \
Biostatistics Unit/Dept. of Family Medicine               |      |/|
University of Wisconsin Medical School                    \       /
Madison, WI 53715                                          |  *  |
(608) 263-5281/263-0830                                     -----
rbrown@maddog.fammed.wisc.edu
=====================================================================

Nothing is permanent except change.                     Heraclitus
Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU