Skip to main content
. Author manuscript; available in PMC: 2021 Feb 1.
Published in final edited form as: J Psychiatr Res. 2019 Nov 8;121:39–46. doi: 10.1016/j.jpsychires.2019.11.001

Table 1.

Model Fit Comparisons (N=926 twins)

Model −2lnL (df) χ2 Δ (df) p AIC BIC SABIC DIC
MEBS Total Score
Full Model 2409.82(909) -- -- 591.82 −1584.69 −142.22 −749.37
Nested Submodels:
No moderation 2466.60(915) 56.78(6) <.01 636.60 −1574.71 −122.72 −733.88
Constrain all nonlinear mods to 0 2416.46(912) 6.64(3) .08 592.46 −1590.57 −143.35 −752.50
Constrain all nonlinear and linear A mods to 0 2424.12(913) 14.30(4) .01 598.12 −1589.82 −141.00 −750.82
Constrain all nonlinear and linear C mods to 0 2417.94(913) 8.12(4) .09 591.94 −1592.90 −144.09 −753.91
Constrain all nonlinear and linear E mods to 0 2416.82(913) 7.00(4) .14 590.82 −1593.46 −144.65 −754.47
Constrain all nonlinear & CE linear mods to 0 2418.33(914) 8.51(5) .13 590.33 −1595.78 −145.38 −755.87
Body Dissatisfaction
Full Model 2328.20(905) -- -- 518.20 −1613.22 −177.10 −781.58
Nested Submodels:
No moderation 2400.59(911) 72.39(6) <.01 578.59 −1595.44 −149.80 −758.29
Constrain all nonlinear mods to 0 2331.32(908) 3.12(3) .37 515.32 −1620.87 −179.99 −786.48
Constrain all nonlinear and linear A mods to 0 2335.82(909) 7.62(4) .11 517.82 −1621.69 −179.22 −786.37
Constrain all nonlinear and linear C mods to 0 2335.04(909) 6.84(4) .14 517.04 −1622.08 −179.61 −786.76
Constrain all nonlinear and linear E mods to 0 2340.81(909) 12.61(4) .01 522.81 −1619.19 −176.73 −783.88
Constrain AE nonlinear mods to 0 2330.46(907) 2.26(2) .32 516.46 −1618.23 −178.94 −784.75
Weight/ Shape Concerns
Full Model 2444.40 (910) 624.40 −1570.47 −126.42 −734.23
Nested Submodels:
No moderation 2490.23(916) 45.83(6) <.01 658.23 −1565.97 −112.39 −724.22
Constrain all nonlinear mods to 0 2448.21(913) 3.81(3) .28 622.21 −1577.77 −128.95 −738.78
Constrain all nonlinear and linear A mods to 0 2454.42(914) 10.02(4) .04 626.42 −1577.73 −127.33 −737.82
Constrain all nonlinear and linear C mods to 0 2448.65(914) 4.25(4) .37 620.65 −1580.62 −130.22 −740.71
Constrain all nonlinear and linear E mods to 0 2449.93(914) 5.53(4) .24 621.93 −1579.98 −129.58 −740.07
Constrain all nonlinear & CE linear mods to 0 2450.51 (915) 6.11(5) .30 620.51 −1582.76 −130.77 −741.93
Weight Preoccupation
Full Model 2396.48(904) -- -- 588.48 −1576.01 −141.48 −745.29
Nested Submodels:
No moderation 2427.09(910) 30.61(6) <.01 607.09 −1579.12 −135.07 −742.89
Constrain all non-linear mods to 0 2410.59(907) 14.11(3) <.01 596.59 −1578.17 −138.87 −744.69
Constrain all A mods to 0 2396.84(906) 0.36(2) .84 584.84 −1581.97 −144.26 −749.41
Constrain all C mods to 0 2406.90(906) 10.42(2) <.01 594.90 −1576.94 −139.24 −744.38
Constrain all E mods to 0 2401.08(906) 4.60(2) .10 589.08 −1579.85 −142.15 −747.29
Constrain A nonlinear mod to 0 2396.82(905) 0.34(1) .56 586.82 −1578.91 −142.80 −747.27
Constrain E nonlinear mod to 0 2400.50(905) 4.02(1) .04 590.50 −1577.07 −140.96 −745.44
Constrain A nonlinear and all E mods to 0 2401.39(907) 4.91(3) .18 587.39 −1582.77 −143.47 −749.29
Constrain E nonlinear and all A mods to 0 2402.16(907) 5.68(3) .13 588.16 −1582.38 −143.09 −748.90

Note. −2lnL = minus twice the log-likelihood; χ2 Δ= chi-square change; AIC = Akaike Information Criterion; Full Model = model with paths, linear, and quadratic moderators; MEBS= Minnesota Eating Behavior Survey; A = additive genetic effects; C = shared environmental effects; E = nonshared environmental effects; mod(s) = moderator(s). Each nested submodel is compared to the full model when calculating the χ2 Δ and degrees of freedom. The best-fitting models, as determined by a non-significant chi-square change test and the lowest AIC, BIC, SABIC, and DIC values, are noted by the outlined and bolded text. If fit statistics identify more than one model as best fitting, the model with the most model fit statistics indicating best fit was selected.