Skip to main content
. Author manuscript; available in PMC: 2016 Jun 1.
Published in final edited form as: Psychol Assess. 2014 Nov 24;27(2):678–688. doi: 10.1037/pas0000054

Table 3. Model Fit Indices for Latent Growth Curve Models Predicting Omission Errors and Commission Errors from Teacher Ratings of Behavior Problems.

Omission Errors

Model df S-B χ2 p CFI TLI RMSEA SRMR
Unconditional Model 2 10.63 .00 .981 .942 .104 .022
Model with Control Variables 5 16.04 .01 .985 .946 .074 .015
Inattention Model 6 16.51 .01 .986 .949 .066 .014
H/I Model 6 17.53 .01 .985 .945 .069 .014
ODB Model 6 16.57 .01 .987 .949 .066 .014
All Predictors Model 8 21.59 .00 .983 .938 .066 .012

Commission Errors

Model df S-B χ2 p CFI TLI RMSEA SRMR

Unconditional Model 2 5.37 .07 .979 .936 .065 .024
Model with Control Variables 5 10.48 .06 .985 .945 .052 .018
Inattention Model 6 13.16 .04 .982 .934 .055 .019
H/I Model 6 10.68 .10 .989 .957 .044 .017
ODB Model 6 10.29 .11 .989 .960 .042 .016
All Predictors Model 8 11.58 .17 .992 .969 .033 .017

Note: N = 399. H/I = Hyperactivity/Impulsivity; ODB = Oppositional/Defiant Behavior. S-B χ2= Satorra-Bentler Chi-Square. CFI = Comparative Fit Index.TLI = Tucker Lewis Index.RMSEA = Root Mean Square Error of Approximation.SRMR = Standardized Root Mean Square Residual.