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. 2018 Nov 15;40(5):1528–1540. doi: 10.1002/hbm.24464

Table 4.

Model fit summaries of multivariate ACE and independent pathway models: HCP data. Models tested to identify genetic relationship between subfields in the VETSA sample. For omnibus tests of a given variance component (A, C, or E), the covariance (but not variance) was constrained to zero while the covariance of the remaining variance components was estimated freely. The independent pathways section presents results of the model identification procedure. All models except the one‐factor model provided a good fit relative to the ACE Cholesky. While there was no significant reduction in fit between the four‐ and three‐factor models, the comparison of the three‐ versus two‐factor models resulted in a significant reduction in fit, indicating that the three‐factor solution provided the best model for further testing

Model Estimated parameters −2LL df ΔLL Δdf p
Omnibus tests of covariance
ACE Cholesky 246 8,635.54 6,426
ACE no A covariance 180 8,824.25 6,492 188.71 66 0
ACE no C covariance 180 8,669.35 6,492 33.81 66 1
ACE no E covariance 180 11,299.3 6,492 2,663.75 66 0
Independent pathway models of A
ACE Cholesky 246 8,635.54 6,426
Ind. path. A six factors 243 8,638.17 6,435 2.63 9 0.98
Ind. path. A five factors 235 8,641.62 6,442 6.07 16 0.99
Ind. path. A four factors 226 8,651.69 6,450 16.15 24 0.88
Ind. path. A three factors 213 8,666.11 6,459 30.57 33 0.59
Ind. path. A two factors 205 8,687.65 6,469 52.11 43 0.16
Ind. path. A one factor 193 8,717.5 6,480 81.96 54 0.01
Independent pathway models of A (three vs. two factors)
Ind. path. A three factors 213 8,666.11 6,459
Ind. path. A two factors 205 8,687.65 6,469 21.55 10 0.02

−2LL = −2 log‐likelihood; df = degrees of freedom; HCP = Human Connectome Project; LRT = likelihood‐ratio chi‐square test; p = significance of the LRT; VETSA = Vietnam Era Twin Study of Aging.