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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 3.

Trivariate Cholesky modeling results of genetic and environmental influences on general anxiety (GA), math problem solving (MPS), and mathematical anxiety (MA).

Model Fit Indices and Model Comparisons
Model −2LL (df) Δ−2LLdf) AIC BIC
Full ACE Model 3560.73 (1327) - 906.73 −1893.66
Full ADE Model 3566.35 (1327) - 912.35 −1890.85
Reduced ACE Model 3561.65 (1332) Reduced vs. Full ACE: .92 (5) 897.65 1907.04

Standardized Path Estimates from Reduced ACE Model
Overlap between GA, MPS, and MA Overlap between MPS and MA Unique effects of MA

A1 (95% CI) A2 (95% CI) A3 (95% CI)
GA .66 (.52 – .76)
MPS .15 (.00 – .32) .62 (.37 – .80)
MA .30 (.10 – .49) .34 (.16 – .62) .45 (.00 – .61)

C1 (95% CI) C2 (95% CI) C3 (95% CI)
GA -
MPS .58 (.32 – .73) -
MA - - -

E1 (95% CI) E2 (95% CI) E3 (95% CI)
GA .75 (.65 – .86)
MPS .01 (.00 – .12) .51 (.44 – .59)
MA .21 (.06 – .35) .08 (.00 – .23) .73 (.63 – .83)

Note: “-” = path fixed at 0. For abbreviations, see Table 2.