Filter
Top Products
274
Example 17
Standardized estimates and squared multiple correlations are as follows:
Regression Weights: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
visperc <---
spatial
1.000
cubes <---
spatial
.511
.153 3.347 ***
lozenges <---
spatial
1.047
.316 3.317 ***
paragrap <---
verbal
1.000
sentence <---
verbal
1.259
.194 6.505 ***
wordmean
<---
verbal
2.140
.326 6.572 ***
Intercepts: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
visperc
28.885
.913 31.632 ***
cubes
24.998
.536 46.603 ***
lozenges
15.153
1.133 13.372 ***
wordmean
18.097
1.055 17.146 ***
paragrap
10.987
.468 23.495 ***
sentence
18.864
.636 29.646 ***
Covariances: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
verbal
<-->
spatial
7.993
3.211 2.490 .013
Variances: (Group number 1 - Default model)
Estimate S.E. C.R. P Label
spatial
29.563
11.600 2.549 .011
verbal
10.814
2.743 3.943 ***
err_v
18.776
8.518 2.204 .028
err_c
8.034
2.669 3.011 .003
err_l
36.625
11.662 3.141 .002
err_p
2.825
1.277 2.212 .027
err_s
7.875
2.403 3.277 .001
err_w
22.677
6.883 3.295 ***
Standardized Regression Weights: (Group number 1 -
Default model)
Estimate
visperc <---
spatial .782
cubes <---
spatial .700
lozenges <---
spatial .685
paragrap <---
verbal .890
sentence <---
verbal .828
wordmean
<---
verbal .828
Correlations: (Group number 1 - Default model)
Estimate
verbal
<-->
spatial .447
Squared Multiple Correlations: (Group number 1 -
Default model)
Estimate
wordmean
.686
sentence
.685
paragrap
.793
lozenges
.469
cubes
.490
visperc
.612