Skip to main content
. 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 3. Fit statistics and standardized for growth curve parameters for subconstructs for males and females estimated separately, controlling for SES and ethnicity.

Covert Aggression* Overt Aggression* Oppositional Defiant
Male* Female Male* Female Male Female
US S US S US S US S US S US S
Fixed Effects
Intercept 0.21*** 1.38 0.21** 0.95 0.33*** 1.48 0.17* 1.04 0.74*** 1.89 0.43*** 1.45
(0.06) (0.08) (0.30) (0.07) (0.11) (0.09)
 SES −0.00** −0.27 −0.00* −0.21 −0.00** −0.28 −0.00 −0.19 −0.01*** −0.33 −0.01** −0.26
(0.00) (0.00) (0.00) (0.00) (0.00) (0.00)
 Black −0.04 −0.09 0.03 0.05 −0.08 −0.13 −0.01 −0.02 −0.09 −0.09 −0.05 −0.06
(0.05) (0.06) (0.06) (0.05) (0.10) (0.07)
Slope 1 0.08* 1.80 0.07 0.76 0.01 0.11 0.04 0.48 0.03 0.30 0.03 0.25
(0.09) (0.04) (0.04) (0.04) (0.05) (0.04)
 SES −0.00* −0.50 −0.00† −0.20 0.00 −0.06 −0.00 −0.17 0.00 0.02 −0.00 −0.12
(0.00) (0.00) (0.00) (0.00) (0.00) (0.00)
 Black 0.03 0.26 −0.00 −0.02 0.09* 0.29 0.02 0.10 0.08 0.33 0.05 0.17
(0.09) (0.04) (0.04) (0.03) (0.04) (0.04)
Slope 2 −0.04 −1.13 −0.09* −1.65 −0.01 −0.25 −0.06 −0.76 0.02 0.16 −0.06 −0.59
(0.04) (0.04) (0.04) (0.03) (0.05) (0.04)
 SES 0.00 0.37 0.00* 0.49 0.00 0.08 0.00 0.22 0.00 −0.04 0.00† 0.19
(0.00) (0.00) (0.00) (0.00) (0.00)
 Black 0.03 0.28 0.03 0.18 0.02 0.12 0.04 0.18 0.06 0.17 0.08† 0.29
(0.03) (0.03) (0.04) (0.03) (0.05) (0.04)
Slope 3 0.05 10.56 −0.03 −0.36 0.05 10.32 0.03 0.24 0.15* 1.13 0.04 0.34
(0.05) (0.03) (0.05) (0.04) (0.07) (0.05)
 SES −0.00 −0.39 0.00 0.05 −0.00 −0.56 −0.00 −0.05 −0.00* −0.35 −0.00 −0.08
(0.00) (0.00) (0.00) (0.00) (0.00) (0.00)
 Black −0.01 −0.11 −0.00 −0.02 −0.04 −0.36 −0.02 −0.05 −0.04 −0.10 0.02 0.05
(0.04) (0.03) (0.04) (0.04) (0.06) (0.05)
Random Effects
Var, intercept 0.02* 0.05† 0.05** 0.02 0.14*** 0.08**
(0.01) (0.03) (0.02) (0.02) (0.03) (0.03)
US US US US US US
Var, Slope 1 0.00a 0.01 0.01* 0.01 0.01 0.01†
(0.00) (0.01) (0.01) (0.01) (0.01) (0.01)
Var, Slope 2 0.00a 0.00 0.00 0.01* 0.02* 0.01**
(0.00) (0.00) (0.00) (0.00) (0.01) (0.00)
Var, Slope 3 0.00a 0.01 0.00a 0.02* 0.02 0.02†
(0.00) (0.01) (0.00) (0.01) (0.01) (0.01)
Fit Statistics
χ2 (85) = 123.10**; MLR = 1.94 χ2 (83) = 112.40*; MLR = 1.97 χ2 (82) = 92.75; MLR = 1.43
CFI = 0.91, RMSEA = 0.04, SRMR = 0.07 CFI = 0.95, RMSEA = 0.04, SRMR = 0.07 CFI = 0.99, RMSEA = 0.02, SRMR = 0.04
Model Comparisons
Intercepts, constrained χ2 (86) = 123.45* χ2 (84) = 114.96* χ2 (83) = 97.07
MLR = 1.94 MLR = 1.97 MLR = 1.43
Adjusted χ2 diff χ2 (1) = 0.05, ns χ2 (1) = 2.68, ns χ2(1) = 4.98*
Slope 1, constrained χ2 (86) = 123.68** χ2 (84) = 112.96* χ2 (83) = 93.00
MLR = 1.93 MLR = 1.96 MLR = 1.43
Adjusted χ2 diff χ2 (1) = 0.02, ns χ2 (1) = 0.30, ns χ2 (1) = 0.02, ns
Slope 2, constrained χ2 (86) = 124.42** χ2 (84) = 113.51* χ2 (83) = 94.35
MLR = 1.93 MLR = 1.96 MLR = 1.43
Adjusted χ2 diff χ2 (1) = 1.23, ns χ2 (1) = 0.97, ns χ2 (1) = 1.84, ns
Slope 3, constrained χ2 (86) = 124.75** χ2 (84) = 112.98* χ2 (83) = 94.21
MLR = 1.93 MLR = 1.96 MLR = 1.43
Adjusted χ2 diff χ2 (1) = 1.76, ns χ2 (1) = 0.10, ns χ2 (1) = 1.56, ns
Emotion Dysregulation* Inattention/Impulsivity Total Aggression
Male Female* Male Female Male* Female
US S US S US S US S US S US S
Fixed Effects
Intercept 0.30*** 1.56 0.20*** 1.73 0.82*** 2.33 0.47*** 1.65 0.53*** 2.11 0.33*** 1.67
(0.07) (0.05) (0.10) (0.07) (0.07) (0.06)
 SES −0.00** −0.29 −0.00* −0.29 −20.01*** −0.39 −0.01*** −0.31 −0.01** −0.36 −20.00*** −0.31
(0.00) (0.00) (0.00) (0.00) (0.00) (0.00)
 Black −0.07 −0.13 −0.02 −0.05 −0.11 −0.11 −0.02 −0.03 −0.08 −0.11 −0.02 −0.04
(0.05) (0.04) (0.09) (0.06) (0.06) (0.05)
Slope 1 0.02 0.19 0.03 0.86 0.03 0.42 0.03 0.31 0.04 0.48 0.04 0.48
(0.04) (0.03) (0.05) (0.04) (0.04) (0.03)
 SES 0.00 −0.05 −0.00 −0.30 0.00 0.05 0.00 −0.03 0.00 −0.05 −0.00 −0.13
(0.00) (0.00) (0.00) (0.00) (0.00) (0.00)
 Black 0.08* 0.31 0.04 0.40 0.06 0.27 0.01 0.05 0.07** 0.33 0.02 0.12
(0.03) (0.02) (0.04) (0.03) (0.03) (0.03)
Slope 2 0.03 0.44 −0.03 −0.34 0.00 0.02 −0.06* −0.82 0.01 0.16 −0.06* −0.87
(0.04) (0.03) (0.05) (0.03) (0.04) (0.03)
 SES 0.00 −0.07 0.00 0.16 0.00 −20.02 0.00 0.18 0.00 −0.05 0.00* 0.26
(0.00) (0.00) (0.00) (0.00) (0.00) (0.00)
 Black 0.02 0.12 0.01 0.06 0.06 0.20 0.09* 0.45 0.04 0.18 0.06 0.34
(0.04) (0.03) (0.05) (0.03) (0.04) (0.03)
Slope 3 0.03 0.42 0.04 1.20 0.17* 1.24 0.05 0.47 0.09 1.24 0.04 0.52
(0.05) (0.04) (0.07) (0.05) (0.05) (0.03)
 SES −0.00 −0.21 −0.00 −0.36 −0.00* −0.36 −0.00 2−0.11 −20.00* −0.40 −0.00 −0.14
(0.00) (0.00) (0.00) (0.00) (0.00) (0.00)
 Black −0.03 −0.13 0.02 0.23 −0.08 −0.21 0.00 0.00 −0.04 −0.19 −0.00 −0.02
(0.05) (0.04) (0.06) (0.05) (0.04) (0.04)
Random Effects
Var, intercept 0.03 0.01† 0.11*** 0.07*** 0.06*** 0.04**
(0.02) (0.01) (0.02) (0.02) (0.01) (0.01)
Var, Slope 1 0.01 0.00 0.01 0.01* 0.01 0.01*
(0.01) (0.00) (0.01) (0.00) (0.00) (0.00)
Var, Slope 2 0.00 0.01* 0.01** 0.00 0.01* 0.00*
(0.00) (0.00) (0.00) (0.00) (0.00) (0.00)
Var, Slope 3 0.01 0.00a 0.02 0.01* 0.01 0.01
(0.01) (0.00) (0.01) (0.01) (0.01) (0.00)
Fit Statistics
χ2 (83) = 127.59**; MLR = 1.53 χ2 (82) = 116.70**; MLR = 1.33 χ2 (82) = 114.65*; MLR = 1.46
CFI = 0.93, RMSEA = 0.04, SRMR = 0.06 CFI = 0.97, RMSEA = 0.04, SRMR = 0.05 CFI = 00.98, RMSEA = 00.04, SRMR = 00.05
Model Comparisons
Intercepts, constrained χ2 (84) = 129.16** χ2 (83) = 123.47** χ2 (83) = 119.01**
MLR = 1.53 MLR = 1.33 MLR = 1.46
Adjusted χ2 diff χ2 (1) = 1.57, ns χ2(1) = 6.77** χ2(1) = 4.53*
Slope 1, constrained χ2 (84) = 127.72** χ2 (83) = 116.95** χ2 (83) = 114.88*
MLR = 1.53 MLR = 1.33 MLR = 1.46
Adjusted χ2 diff χ2 (1) = 0.13, ns χ2 (1) = 0.02, ns χ2 (1) = 0.01, ns
Slope 2, constrained χ2 (84) = 128.70** χ2 (83) = 117.98** χ2 (83) = 117.03**
MLR = 1.53 MLR = 1.32 MLR = 1.46
Adjusted χ2 diff χ2 (1) = 1.09, ns χ2 (1) = 1.24, ns χ2 (1) = 2.88, ns
Slope 3, constrained χ2 (84) = 127.84** χ2 (83) = 118.77** χ2 (83) = 115.41*
MLR = 1.53 MLR = 1.32 MLR = 1.46
Adjusted χ2 diff χ2 (1) = 0.09, ns χ2 (1) = 2.36, ns χ2 (1) = 0.58, ns

Note: All model comparisons are relative to the fit statistics for the unconstrained conditional model with gender estimated separately and used the Satorra–Bentler adjusted chi-square comparison test. For the constrained models, the estimate for males was constrained to be the same as for females. Standard errors are in parentheses. SES, socioeconomic status; 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 < .01.

*

p < .05.

**

p < .01.

***

p < .001.