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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.
EIn 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