Documentation Example 9 for PROC CALIS
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: CALEX203 */
/* TITLE: Documentation Example 9 for PROC CALIS */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: PATH, testing measurement models */
/* PROCS: CALIS */
/* DATA: */
/* */
/* SUPPORT: yiyung UPDATE: November 5, 2009 */
/* REF: PROC CALIS, Example 9 */
/* MISC: */
/****************************************************************/
data measures;
input x y;
datalines;
7.91736 13.8673
7.61290 12.9761
7.60608 12.8040
7.32266 13.2590
7.57418 13.2502
7.17199 13.1750
5.72741 11.3299
7.51832 12.3588
7.15814 13.1556
5.37445 9.6366
6.10807 11.7966
6.77190 11.6356
6.65642 12.8866
5.76977 10.7654
7.17305 13.3416
8.04604 14.5968
6.66033 12.5159
5.48877 11.2211
7.35485 13.8457
6.00419 11.7654
6.94139 12.2174
6.33328 11.7732
6.26643 11.9382
5.62881 11.5041
8.23123 13.9876
5.77692 11.5077
7.14944 12.4988
7.50323 13.3735
8.91648 14.4929
6.89546 13.1493
;
proc calis data=measures;
path
x <=== Fx = 1.,
Fx ===> Fy ,
Fy ===> y = 1.;
pvar
x = evar,
y = evar,
Fy = 0.,
Fx;
run;
proc calis data=measures;
path
x <=== Fx = 1.,
Fx ===> Fy = 1., /* Testing a fixed constant effect */
Fy ===> y = 1.;
pvar
x = evar,
y = evar,
Fy = 0.,
Fx;
run;
proc calis data=measures;
path
x <=== Fx = 1.,
Fx ===> Fy , /* regression effect is freely estimated */
Fy ===> y = 1.;
pvar
x = evar,
y = evar,
Fy = 0.,
Fx;
mean
x y = 0. 0., /* Intercepts are zero in the measurement error model */
Fy = 0., /* Fixed to zero under the hypothesis */
Fx; /* Mean of Fx is freely estimated */
run;
proc calis data=measures;
path
x <=== Fx = 1.,
Fx ===> Fy ,
Fy ===> y = 1.;
pvar
x = evar,
y = evar,
Fy = 0.,
Fx;
mean
x y = 0. 0.,
Fy Fx;
run;