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. Author manuscript; available in PMC: 2023 Mar 15.
Published in final edited form as: Dev Psychopathol. 2021 Sep 15;34(5):1901–1913. doi: 10.1017/S0954579421000468

Table 3.

Parameter estimates, standard errors, and fit indices for Latent Growth Curve (LGC) Models for children’s externalizing behaviors with neural synchrony during Frustration and Play as predictors.

LGC with no predictors LGC with Neural Synchrony
during Frustration as predictor
LGC with Neural Synchrony
during Play as predictor
B SE p B SE p B SE p
Means
 Intercept 10.074 .613 <.001 9.968 .751 <.001 9.901 .749 <.001
 Slope −.797 .168 <.001 −.766 .188 <.001 −.849 .191 <.001
Variances
 Intercept 47.181 6.616 <.001 43.614 7.152 <.001 43.427 7.143 <.001
 Slope 1.508 .822 .066 1.591 .815  .051 1.604 .821 .051
Covariance −3.830 1.684 .023 −2.278 1.608 .156 −2.177 1.613 .177
Predictor on
 Intercept .174 .621 .779 .324 .652 .620
 Slope −.204 .154 .186 −.037 .165 .824
Fit Indices
χ2 16.723 12.802 12.303
 df 5 7 7
 CFI .967 .980 .982
 TLI .961 .971 .974
 RMSEA .125 .085 .081
 SRMR .059 .056 .056

Note. B = unstandardized coefficient; SE = standard error; Bold = p < .05.