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. Author manuscript; available in PMC: 2017 Nov 29.
Published in final edited form as: Psychol Med. 2017 Feb 16;47(10):1836–1847. doi: 10.1017/S0033291717000290

Table 2.

Model fitting results for I-CIRS and age-moderated bivariate biometric models of depressive symptoms

Model Men Women
−2LL df Comp Δ−2LL (Δdf) −2LL df Comp Δ−2LL (Δdf)
1. Full ACE 108024 14850 - - 126727 17240 - -
2. AE 108032 14861 1 8.14 (11) 126742 17251 1 15.24 (11)
3. Drop all CIRS moderation 108317 14865 2 285.03 (4)** 126904 17255 2 161.91 (4)**
4. Drop age 40–75 covariance moderation 108034 14863 2 2.29 (2) 126744 17253 2 2.23 (2)
5. Drop age 75–90 covariance moderation 108036 14865 4 1.19 (2) 126744 17255 4 0.02 (2)
6. Drop age 40–75 unique depression moderation 108072 14867 5 35.86 (2)** 126759 17257 5 14.11 (2)**
7. Drop age 75–90 unique depression moderation 108056 14867 5 20.17 (2)** 126754 17257 5 9.02 (2)**

Notes: More complete model-fitting results in Tables S8 and S9. −2LL = negative log likelihood multiplied by 2; df= degrees of freedom; Comp= model to which compared, Δ−2LL (Δdf) = the difference in log likelihood by difference in degrees of freedom between the model being fit and its comparison model; A = additive genetic variance; C = shared environmental variance; E = non-shared environmental variance; ACE = full model estimating additive genetic, shared environmental, and nonshared environmental variance components; AE= constrained model estimating only additive genetic and nonshared environmental variance components;

**

= significant deterioration in fit compared to comparison model. Best-fitting model is shown in bold.