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Example 19
Scalar Estimates (Group number 1 - Default model)
Regression Weights: (Group number 1 - Default
model)
Parameter SE SE-SE Mean Bias SE-Bias
visperc <---
spatial
.000
.000 1.000 .000 .000
cubes <---
spatial
.140
.004 .609 -.001 .006
lozenges <---
spatial
.373
.012 1.216 .018 .017
paragrap <---
verbal
.000
.000 1.000 .000 .000
sentence <---
verbal
.176
.006 1.345 .011 .008
wordmean
<---
verbal
.254
.008 2.246 .011 .011
Standardized Regression Weights: (Group number 1 -
Default model)
Parameter SE SE-SE Mean Bias SE-Bias
visperc <---
spatial
.123
.004 .709 .006 .005
cubes <---
spatial
.101
.003 .646 -.008 .005
lozenges <---
spatial
.121
.004 .719 -.017 .005
paragrap <---
verbal
.047
.001 .876 -.004 .002
sentence <---
verbal
.042
.001 .826 .000 .002
wordmean
<---
verbal
.050
.002 .841 -.001 .002
Covariances: (Group number 1 - Default model)
Parameter SE SE-SE Mean Bias SE-Bias
spatial
<-->
verbal
2.393
.076 7.241 -.074 .107
Correlations: (Group number 1 - Default model)
Parameter SE SE-SE Mean Bias SE-Bias
spatial
<-->
verbal
.132
.004 .495 .008 .006
Variances: (Group number 1 - Default model)
Parameter
SE SE-SE Mean Bias SE-Bias
spatial
9.086
.287
23.905 .603 .406
verbal
2.077
.066
9.518 -.164 .093
err_v
9.166
.290
22.393 -1.480 .410
err_c
3.195
.101
11.191 -.411 .143
err_l
9.940
.314
27.797 -.478 .445
err_p
.878
.028
2.772 -.062 .039
err_s
1.446
.046
7.597 -.370 .065
err_w
5.488
.174
19.123 -.803 .245
Squared Multiple Correlations: (Group number 1 -
Default model)
Parameter SE SE-SE Mean Bias SE-Bias
wordmean
.083
.003
.709 .001 .004
sentence
.069
.002
.685 .001 .003
paragrap
.081
.003
.770 -.004 .004
lozenges
.172
.005
.532 -.010 .008
cubes
.127
.004
.428 .000 .006
visperc
.182
.006
.517 .023 .008