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Sörbom’s Alternative to Analysis of Covariance
Results for Model C
Finally, we have a model that fits.
From the point of view of statistical goodness of fit, there is no reason to reject Model
C. It is also worth noting that all the variance estimates are positive. The following are
the parameter estimates for the 105 control subjects:
Next is a path diagram displaying parameter estimates for the 108 experimental
subjects:
Chi-square = 2.797
Degrees of freedom = 4
Probability level = 0.592
0, 28.10
pre_verbal
18.63
pre_syn
0, 10.04
eps1
1.00
1
19.91
pre_opp
0, 12.12
eps2
.88
1
0
post_verbal
20.38
post_syn
0, 5.63
eps3
21.21
post_opp
0, 12.36
eps4
1.00
1
.90
1
.95
0, .54
zeta
1
Example 16: Model C
An alternative to ANCOVA
Olsson (1973): control condition.
Unstandardized estimates
6.22