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. Author manuscript; available in PMC: 2010 Jul 1.
Published in final edited form as: Dev Psychol. 2009 Jul;45(4):973–987. doi: 10.1037/a0016225

Table 4.

Fit statistics from the models of variance components allowing for gene-environment interaction and correlation

Model −2*LL df χ2 Δdf p AIC
Age 24 AAB as a function of age 24 educational attainment
All parameters free 3675.4 2154 --- --- --- 3709.4
Fix all moderation paths 3687.4 2160 12.0 6 ns 3709.4
Age 17 AAB as a function of age 17 GPA
All parameters free 6172.2 3599 --- --- --- 6206.2
Fix common A, C, & E 6172.5 3602 .3 3 ns 6200.5
Fix common A, C, & E, and unique A moderation paths 6177.9 3603 5.4 1 ns 6203.9
Fix common A, C, & E, and unique C moderation paths* 6172.5 3603 .0 1 .020 6198.5
Fix common A, C, & E, and unique E moderation paths 6208.1 3603 35.6 1 <.001 6234.1
Fix common A, C, & E, and unique C & A moderation paths 6191.9 3604 19.4 2 <.001 6215.9
Fix common A, C, & E, and unique C & E moderation paths 6208.1 3604 35.6 2 <.001 6232.1
Fix common A, C, & E, and unique A & E moderation paths 6234.3 3604 61.8 2 <.001 6258.3
Fix all moderation paths 6299.4 3605 126.9 3 <.001 6321.4

Note: A refers to genetic influences, C to shared environmental influences, and E to nonshared environmental influences. There are possible common and unique moderation paths for each of A, C, and E. Best-fitting models are indicated by *. Fixed moderation paths were constrained to 0, which means that those sources of influence were present but did not vary across the levels of the moderators. AIC is Akaike Information Criterion.