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. Author manuscript; available in PMC: 2020 Jan 1.
Published in final edited form as: Dev Psychobiol. 2018 Jul 24;61(1):69–80. doi: 10.1002/dev.21763

Table 2.

Generalized linear regression model examining the impact of anxiety disorder diagnosis, pubertal timing, and depression on error-related negativity. Increases in the ΔERN are represented by values that are more negative in polarity.

ΔERN
Parameter b SE p
Diagnosis 3.28 1.30 .012
Pubertal Timing –1.19 .42 .005
Depression 0.12 0.08 .122
Diagnosis × Pubertal Timing –1.86 1.48 .284
Diagnosis × Depression –0.80 0.33 .016
Pubertal Timing × Depression 0.22 0.07 .003
Diagnosis × Pubertal Timing × Depression 0.50 .38 .182
1

A model was also evaluated excluding youth with ADHD (n = 2) from the AD group and no substantive changes in the results were observed.

2

A model was also evaluated using the Meyer et al (2017) guidelines, calculating an ERN standardized residual score, by saving the variance leftover in a regression where the CRN was entered, predicting the ERN. Using the ERN residual as the dependent variable, we did not observe substantive changes to the parameter estimates and the overall pattern of findings was the same as those yielded by the ΔERN.

3

Last, we evaluated the sensitivity of our findings by testing a model predicting the ΔERN, derived using a baseline of both 400 to 200 milliseconds (ms) and 150 to 50 ms prior to the response; the results were unchanged using a baseline 400 to 200 ms prior to response. Using a baseline of 150 to 50 ms prior to response, the diagnosis × depression effect was unchanged; the pubertal timing main effect and interaction with depression were reduced to a trend (with direction of findings remaining unchanged). These parameter estimates are reported in Supplemental Table 1