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Example 19
Regression Weights: (Group number 1 - Default
model)
Estimate S.E. C.R. P Label
visperc <---
spatial
1.000
cubes <---
spatial
.610 .143 4.250 ***
lozenges <---
spatial
1.198 .272 4.405 ***
paragrap <---
verbal
1.000
sentence <---
verbal
1.334 .160 8.322 ***
wordmean
<---
verbal
2.234 .263 8.482 ***
Standardized Regression Weights: (Group number 1 -
Default model)
Estimate
visperc <---
spatial .703
cubes <---
spatial .654
lozenges <---
spatial .736
paragrap <---
verbal .880
sentence <---
verbal .827
wordmean
<---
verbal .841
Covariances: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
spatial
<-->
verbal
7.315
2.571 2.846 .004
Correlations: (Group number 1 - Default model)
Estimate
spatial
<-->
verbal .487
Variances: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
spatial
23.302
8.123 2.868 .004
verbal
9.682
2.159 4.485 ***
err_v
23.873
5.986 3.988 ***
err_c
11.602
2.584 4.490 ***
err_l
28.275
7.892 3.583 ***
err_p
2.834
.868 3.263 .001
err_s
7.967
1.869 4.263 ***
err_w
19.925
4.951 4.024 ***
Squared Multiple Correlations: (Group number 1 -
Default model)
Estimate
wordmean
.708
sentence
.684
paragrap
.774
lozenges
.542
cubes
.428
visperc
.494