Table A.3. Fit statistics and standardized growth curve parameters for subconstructs for males and females estimated together, controlling for gender, SES, and ethnicity.
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 | 0.21*** | 1.17 | 0.28*** | 1.42 | 0.66*** | 1.86 | 0.27*** | 1.66 | 0.74*** | 2.22 | 0.49*** | 2.07 |
(0.05) | (0.05) | (0.08) | (0.05) | (0.07) | (0.05) | |||||||
Female | −0.01 | −0.02 | −0.07** | −0.17 | −0.15*** | −0.21 | −0.03 | 20.10 | −0.19*** | −0.29 | −0.11*** | 20.24 |
(0.02) | (0.02) | (0.04) | (0.02) | (0.03) | (0.02) | |||||||
SES | −0.00** | −0.24 | −0.00** | −0.24 | −0.01*** | −0.29 | −0.00*** | 20.28 | −0.01*** | −0.34 | −0.01*** | 20.33 |
(0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |||||||
Black | −0.01 | −0.01 | −0.04 | −0.08 | −0.07 | −0.08 | −0.04 | 20.10 | −0.07 | −0.07 | −0.05 | 20.08 |
(0.04) | (0.04) | (0.06) | (0.03) | (0.05) | (0.03) | |||||||
Slope 1 | 0.08* | 1.16 | 0.04 | 0.35 | 0.05 | 0.50 | 0.04 | 0.47 | 0.05† | 0.52 | 0.05* | 0.66 |
(0.03) | (0.03) | (0.03) | (0.03) | (0.03) | (0.02) | |||||||
Female | −0.00 | 20.03 | −0.01 | −0.03 | −0.04** | −0.22 | −0.01 | 20.07 | −0.03* | −0.17 | −0.02* | 20.15 |
(0.01) | (0.01) | (0.02) | (0.01) | (0.02) | (0.01) | |||||||
SES | −0.00** | −0.31 | −0.00 | −0.12 | 0.00 | −0.06 | −0.00 | 20.13 | 0.00 | 0.00 | −0.00 | 20.10 |
(0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |||||||
Black | 0.01 | 0.07 | 0.06* | 0.21 | 0.07* | 0.26 | 0.06** | 0.32 | 0.04 | 0.15 | 0.05* | 0.24 |
(0.02) | (0.03) | (0.03) | (0.02) | (0.03) | (0.02) | |||||||
Slope 2 | −0.06* | −1.57 | −0.03 | −0.48 | −0.02 | −0.14 | 0.01 | 0.15 | −0.02 | 20.25 | −0.02 | −0.23 |
(0.03) | (0.03) | (0.03) | (0.03) | (0.03) | (0.02) | |||||||
Female | −0.01 | −0.12 | −0.01 | −0.05 | −0.01 | −0.05 | −0.01 | −0.07 | −0.01 | 20.07 | −0.01 | −0.06 |
(0.01) | (0.01) | (0.02) | (0.01) | (0.02) | (0.01) | |||||||
SES | 0.00** | 0.52 | 0.00 | 0.16 | 0.00 | 0.07 | 0.00 | 0.04 | 0.00 | 0.06 | 0.00 | 0.09 |
(0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |||||||
Black | 0.03 | 0.24 | 0.03 | 0.16 | 0.06† | 0.20 | 0.01 | 0.08 | 0.07* | 0.29 | 0.04† | 0.23 |
(0.02) | (0.02) | (0.03) | (0.02) | (0.03) | (0.02) | |||||||
Slope 3 | 0.03 | 0.46 | 0.02 | 0.21 | 0.09† | 0.70 | 0.02 | 0.43 | 0.11** | 0.91 | 0.06† | 0.77 |
(0.03) | (0.03) | (0.05) | (0.04) | (0.04) | (0.03) | |||||||
Female | −0.03* | −0.26 | 0.02 | 0.12 | 0.00 | 0.01 | 0.03† | 0.38 | 0.00 | 0.00 | 0.01 | 0.03 |
(0.02) | (0.01) | (0.02) | (0.02) | (0.02) | (0.01) | |||||||
SES | 0.00 | −0.08 | −0.00 | −0.13 | −0.00* | −0.21 | −0.00 | −0.32 | −0.00* | 20.25 | −0.00* | −0.25 |
(0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |||||||
Black | −0.01 | −0.05 | −0.03 | −0.12 | −0.01 | −0.02 | 0.00 | 0.02 | −0.04 | 20.11 | −0.02 | −0.10 |
(0.02) | (0.03) | (0.04) | (0.03) | (0.04) | (0.03) | |||||||
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Random Effects | ||||||||||||
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Var, intercept | 0.03* | 0.04** | 0.11*** | 0.02* | 0.09*** | 0.05*** | ||||||
(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) | (0.01) | (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 | 0.00 | 0.01† | 0.02* | 0.00 | 0.01* | 0.01 | ||||||
(0.00) | (0.00) | (0.01) | (0.00) | (0.01) | (0.00) | |||||||
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Fit Statistics | ||||||||||||
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χ2 (46) = 68.42* | χ2 (46) = 70.91* | χ2 (46) = 54.87 | χ2 (46) = 64.13* | χ2 (46) = 74.47** | χ2 (46) = 59.50 | |||||||
χ2/df = 1.50 | χ2/df = 1.50 | χ2/df = 1.50 | χ2/df = 1.50 | χ2/df = 1.50 | χ2/df = 1.50 | |||||||
CFI = 0.95 | CFI = 0.96 | CFI = 0.99 | CFI = 0.97 | CFI = 0.98 | CFI = 0.99 | |||||||
RMSEA = 0.03 | RMSEA = 0.03 | RMSEA = 0.02 | RMSEA = 0.03 | RMSEA = 0.03 | RMSEA = 0.02 | |||||||
SRMR = 0.05 | SRMR = 0.05 | SRMR = 0.03 | SRMR = 0.04 | SRMR = 0.03 | SRMR = 0.03 | |||||||
MLR = 2.01 | MLR = 1.96 | MLR = 1.40 | MLR = 1.57 | MLR = 1.29 | MLR = 1.48 | |||||||
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Model Comparisons | ||||||||||||
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All slopes, constrained | χ2 (48) = 75.98** | χ2 (48) = 73.06* | χ2 (48) = 57.44 | χ2 (48) = 64.74 | χ2 (48) = 79.16** | χ2 (48) = 61.69 | ||||||
MLR = 1.98 | MLR = 1.94 | MLR = 1.39 | MLR = 1.56 | MLR = 1.28 | MLR = 1.47 | |||||||
Adjusted χ2 diff | χ2(2) = 10.29** | χ2 (2) = 1.87, ns | χ2 (2) = 2.60, ns | χ2 (2) = 0.47, ns | χ2 (2) = 4.97, ns | χ2 (2) = 2.11, ns | ||||||
Slopes 1 and 2, constrained | χ2 (47) = 75.42∗* | χ2 (47) = 72.67** | χ2 (47) = 56.29 | χ2 (47) = 64.63* | χ2 (47) = 76.53** | χ2 (47) = 61.09 | ||||||
MLR = 1.99 | MLR = 1.95 | MLR = 1.39 | MLR = 1.56 | MLR = 1.29 | MLR = 1.48 | |||||||
Adjusted χ2 diff | χ2(1) = 10.94*** | χ2 (1) = 1.83, ns | χ2 (1) = 1.48, ns | χ2 (1) = 0.38, ns | χ2 (1) = 2.16, ns | χ2 (1) = 1.64, ns | ||||||
Slopes 1 and 3, constrained | χ2 (47) = 70.07* | χ2 (47) = 71.43 | χ2 (47) = 55.51 | χ2 (47) = 64.32* | χ2 (47) = 75.85∗* | χ2 (47) = 58.76 | ||||||
MLR = 1.99 | MLR = 1.95 | MLR = 1.39 | MLR = 1.57 | MLR = 1.29 | MLR = 1.48 | |||||||
Adjusted χ2 diff | χ2 (1) = 1.70, ns | χ2 (1) = 0.17, ns | χ2 (1) = 0.53, ns | χ2 (1) = 0.19, ns | χ2 (1) = 1.34, ns | χ2 (1) = 1.21, ns | ||||||
Slope 2 and 3, constrained | χ2 (47) = 70.79* | χ2 (47) = 71.90* | χ2 (47) = 57.12 | χ2 (47) = 64.22* | χ2 (47) = 78.89* | χ2 (47) = 60.77 | ||||||
MLR = 2.00 | MLR = 1.95 | MLR = 1.39 | MLR = 1.56 | MLR = 1.29 | MLR = 1.48 | |||||||
Adjusted χ2 diff | χ2 (1) = 2.52, ns | χ2 (1) = 0.84, ns | χ2 (1) = 2.38, ns | χ2 (1) = 0.01, ns | χ2 (1) = 5.03* | χ2 (1) = 1.27, ns |
Note: All model comparisons are relative to the fit statistics for the unconstrained conditional model including gender as a covariate and used the Satorra–Bentler adjusted chi-square comparison test. Standard errors are in parentheses. US, unstandardized 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.