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. Author manuscript; available in PMC: 2015 Nov 7.
Published in final edited form as: J Child Psychol Psychiatry. 2014 Mar 10;55(9):1056–1064. doi: 10.1111/jcpp.12224

Table 2.

Univariate modeling results of genetic and environmental influences on mathematical anxiety.

Model Fit Indices and Model Comparisons
Model −2LL (df) Δ−2LL(Δdf) AIC BIC
ACE 1354.06(484) AE vs. ACE: .00(1) 386.06 −660.13
ADE 1351.70(484) AE vs. ADE: 2.36(1) 383.70 −661.31
AE 1354.06(485) - 384.06 −662.90
Standardized Path Estimates from AE model
A (95% CI) .66 (.52 – .76)
E (95% CI) .75 (.65 – .85)

Note: −2LL = −2 times log likelihood; df = degrees of freedom; Δ −2LL = difference in −2 times log likelihood between two models; Δdf = difference in degrees of freedom between two models; AIC = Akaike’s Information Criterion; BIC = Bayesian Information Criterion. Best fitting model is indicated in bold face. A = additive genetic pathways; C = shared environmental pathways; E = nonshared environmental pathways.