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Example 7
E In the Analysis Properties dialog box, click the Output tab.
E Select Squared multiple correlations (a check mark appears next to it).
E Close the dialog box.
The squared multiple correlations show that the two endogenous variables in this
model are not predicted very accurately by the other variables in the model. This goes
to show that the chi-square test of fit is not a measure of accuracy of prediction.
Graphics Output
Here is the path diagram output displaying standardized estimates and squared
multiple correlations:
Squared Multiple Correlations: (Group number 1 -
Default model)
Estimate
attract
.402
academic
.236
GPA
height
rating
weight
.24
academic
.40
attract
.49
.
0
0
-.08
.
3
6
error1
error2
.
1
5
-
.
1
6
-
.
1
0
.
1
8
.
3
4
-
.
2
7
.52
-.01
-.08
Example 7
A nonrecursive model
Felson and Bohrnstedt (1979)
(Female subjects)
Standardized estimates
Chi-square = 2.761 (2 df)
p = .251