Table A.2. Fit statistics and standardized growth curve estimates for subconstructs for the unconditional model for males and females estimated together.
Covert Aggression* | Overt Aggression | Oppositional Defiant | Emotion Dysregulation | Inattention/Impulsivity | Total Aggression | |||||||
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US | S | US | S | US | S | US | S | US | S | US | S | |
Fixed Effects | ||||||||||||
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Intercept | 0.09*** | 0.48 | 0.11*** | 0.55 | 0.28*** | 0.78 | 0.12*** | 0.73 | 0.32*** | 0.93 | 0.21*** | 0.87 |
(0.01) | (0.01) | (0.02) | (0.01) | (0.02) | (0.01) | |||||||
Slope 1 | 0.02** | 0.29 | 0.01 | 0.09 | 0.02** | 0.23* | 0.02* | 0.19* | 0.04*** | 0.41* | 0.03*** | 0.32* |
(0.01) | (0.01) | (0.01) | (0.01) | (0.01) | (0.01) | |||||||
Slope 2 | −0.00 | −0.10 | −0.00 | −0.03 | 0.01 | 0.09 | 0.01* | 0.21 | −0.00 | −0.03 | 0.00 | 0.05 |
(0.01) | (0.01) | (0.01) | (0.01) | (0.01) | (0.01) | |||||||
Slope 3 | −0.00 | −0.04 | −0.01 | −0.08 | 0.02 | 0.11 | −0.00 | −0.08 | 0.02 | 0.16 | 0.01 | 0.06 |
(0.01) | (0.01) | (0.01) | (0.01) | (0.01) | (0.01) | |||||||
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Random Effects | ||||||||||||
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Var, intercept | 0.03* | 0.04** | 0.13*** | 0.03* | 0.12*** | 0.06*** | ||||||
(0.02) | (0.01) | (0.02) | (0.01) | (0.02) | (0.01) | |||||||
Var, Slope 1 | 0.00 | 0.01** | 0.01* | 0.01† | 0.01* | 0.01** | ||||||
(0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |||||||
Var, Slope 2 | 0.00 | 0.00† | 0.01*** | 0.00* | 0.01*** | 0.01** | ||||||
(0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |||||||
Var, Slope 3 | 0.01 | 0.01† | 0.02* | 0.00 | 0.01* | 0.00† | ||||||
(0.00) | (0.00) | (0.01) | (0.00) | (0.01) | (0.00) | |||||||
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Fit Statistics | ||||||||||||
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χ2 (31) = 46.43* | χ2 (31) = 42.35 | χ2 (31) = 30.52 | χ2 (31) = 38.32 | χ2 (31) = 45.52* | χ2 (31) = 27.26 | |||||||
χ2/df = 1.50 | χ2/df = 1.37 | χ2/df = 0.98 | χ2/df = 1.24 | χ2/df = 1.47 | χ2/df = .88 | |||||||
CFI = 0.94 | CFI = 0.97 | CFI = 1.00 | CFI = 0.98 | CFI = 0.99 | CFI = 1.00 | |||||||
RMSEA = 0.03 | RMSEA = 0.03 | RMSEA = 0.00 | RMSEA = 0.02 | RMSEA = 0.03 | RMSEA = 0.00 | |||||||
SRMR = 0.06 | SRMR = 0.06 | SRMR = 0.03 | SRMR = 0.04 | SRMR = 0.03 | SRMR = 0.03 | |||||||
MLR = 2.45 | MLR = 2.37 | MLR = 1.56 | MLR = 1.79 | MLR = 1.42 | MLR = 1.71 | |||||||
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Model Comparisons | ||||||||||||
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All slopes, constrained | χ2 (33) = 51.16* | χ2 (33) = 45.26 | χ2 (33) = 31.92 | χ2 (33) = 41.59 | χ2 (33) = 54.35* | χ2 (33) = 32.61 | ||||||
MLR = 2.35 | MLR = 2.28 | MLR = 1.52 | MLR = 1.74 | MLR = 1.40 | MLR = 1.66 | |||||||
Adjusted χ2 diff | χ2(2) = 7.72* | χ2 (2) = 3.18, ns | χ2 (2) = 1.09, ns | χ2 (2) = 3.97, ns | χ2(2) = 10.72** | χ2(2) = 8.04* | ||||||
Slopes 1 and 2, constrained | χ2 (32) = 49.24* | χ2 (32) = 43.63 | χ2 (32) = 31.48 | χ2 (32) = 38.86 | χ2 (32) = 53.64 | χ2 (32) = 30.54 | ||||||
MLR = 2.40 | MLR = 2.33 | MLR = 1.54 | MLR = 1.77 | MLR = 1.41 | MLR = 1.68 | |||||||
Adjusted χ2 diff | χ2(1) = 5.08* | χ2 (1) = 1.13, ns | χ2 (1) = 0.94, ns | χ2 (1) = 0.05, ns | χ2(1) = 10.77** | χ2(1) = 5.04* | ||||||
Slopes 1 and 3, constrained | χ2 (32) = 49.37* | χ2 (32) = 44.35 | χ2 (32) = 31.14 | χ2 (32) = 41.00 | χ2 (32) = 48.07* | χ2 (32) = 30.65 | ||||||
MLR = 2.39 | MLR = 2.33 | MLR = 1.54 | MLR = 1.76 | MLR = 1.41 | MLR = 1.68 | |||||||
Adjusted χ2 diff | χ2 (1) = 5.90* | χ2 (1) = 3.00, ns | χ2 (1) = 0.44, ns | χ2(1) = 4.19* | χ2 (1) = 2.89, ns | χ2(1) = 5.37* | ||||||
Slope 2 and 3, constrained | χ2 (32) = 47.28 | χ2 (32) = 43.29 | χ2 (32) = 30.90 | χ2 (32) = 39.84 | χ2 (32) = 47.18* | χ2 (32) = 27.56 | ||||||
MLR = 2.40 | MLR = 2.33 | MLR = 1.54 | MLR = 1.76 | MLR = 1.41 | MLR = 1.69 | |||||||
Adjusted χ2 diff | χ2 (1) = 0.00, ns | χ2 (1) = 0.32, ns | χ2 (1) = 0.09, ns | χ2 (1) = 1.77, ns | χ2 (1) = 1.70, ns | χ2 (1) = 0.02, ns |
Note: All model comparisons are relative to the fit statistics for the unconstrained unconditional model and used the Satorra–Bentler adjusted chi-square comparison test. Standard errors are in parentheses. US, unstan-dardized estimates; S, standardized estimates; CFI, comparative fit index, RMSEA, root mean square error of approximation, SRMR, standardized root mean square residual; MLR, maximum likelihood robust.
p < .10.
p < .05.
p < .01.
p < .001.