Table 2. Fit statistics from the models of variance components of education and body mass index allowing for gene-environment and correlation.
Model | −2*LL | df | χ2 | Δdf | p | AIC | BIC |
Body Mass Index - Females | |||||||
All parameters free | 41141.7 | 23982 | — | — | — | 41163.7 | 41224.2 |
Fix common A, C, and E moderation paths* | 41147.5 | 23985 | 5.8 | 3 | ns | 41163.5 | 41207.5 |
Fix all moderation paths | 41257.2 | 23988 | 109.7 | 3 | <.001 | 41267.2 | 41294.7 |
Body Mass Index - Males | |||||||
All parameters free | 27853.3 | 17980 | — | — | — | 27875.3 | 27934.8 |
Fix common A, C, and E and unique A moderation paths* | 27860.1 | 17984 | 6.8 | 4 | ns | 27874.1 | 27912.0 |
Fix all moderation paths | 27936.1 | 17986 | 76.0 | 2 | <.001 | 27946.1 | 27973.2 |
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. BIC is Bayesian Information Criterion. Because of the large sample size and number of statistical tests performed, we set the significance level for the chi-squared tests at .01.