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. Author manuscript; available in PMC: 2013 Oct 22.
Published in final edited form as: Dev Psychopathol. 2013 Aug;25(3):817–842. doi: 10.1017/S0954579413000199

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






US S US S US S US S US S US S
Fixed Effects

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)

Random Effects

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)

Fit Statistics

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

Model Comparisons

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.