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Factor Analysis with Structured Means
Results for Model B
If we did not have Model A as a basis for comparison, we would now accept Model B,
using any conventional significance level.
Comparing Models A and B
An alternative test of Model B can be obtained by assuming that Model A is correct
and testing whether Model B fits significantly worse than Model A. A chi-square test
for this comparison is given in the text output.
E In the Amos Output window, click Model Comparison in the tree diagram in the upper
left pane.
The table shows that Model B has two more degrees of freedom than Model A, and a
chi-square statistic that is larger by 8.030. If Model B is correct, the probability of such
a large difference in chi-square values is 0.018, providing some evidence against
Model B.
Chi-square = 30.624
Degrees of freedom = 26
Probability level = 0.243
Assuming model Model A to be correct:
Model DF CMIN P
NFI
Delta-1
IFI
Delta-2
RFI
rho-1
TLI
rho2
Model B 2 8.030 .018 .024 .026 .021 .023