The same model was applied for the absolute trial-by-trial adjustment of time estimation as dependent variable.
Means and standard deviations for time estimation and absolute trial-by-trial adjustment in time estimation data are presented in Table 2 for all conditions.
Our measure might not perfectly indicate behavioral adaptation as only absolute trial-to-trial changes in estimation time irrespective of the direction of change were analyzed.
Despite the significant impact of psychopathic traits on neural correlates of feedback processing, we observed no effects of psychopathy on absolute trial-to-trial adjustment of time estimation.
Subsequently, for each subject and separately for all four conditions (negative faces, negative signs, positive faces, and positive signs), the absolute trial-by-trial adjustment of time estimation was calculated (Miltner et al., 1997).
With regard to behavioral measures, there were no significant correlations between FRN amplitude at FCz and Cz and time estimation or absolute trial-by-trial adjustment of time estimation in the respective conditions (all p > .16).16
The absolute trial-by-trial adjustment in time estimation was larger after negative than after positive feedback, F (1,18) = 118.35, p < .001, η p 2 =.87, but there was no significant difference between faces and signs, F (1,18) = 2.28, p = .15.15
A less conservative interpretation based on absolute between-trial differences alone therefore suggests acceptable reliability for UPN between days over 58% MVC and for LPN past 10% MVC both within and between days.
The mean absolute deviation per trial was then calculated by averaging over the registered deviation values from the 2000 data points of each trial using Matlab 6.5 (The MathWorks, Inc., USA).
In this landmark clinical trial absolute mortality was reduced by 3.4%%.
The group difference in prolonged abstinence at 6-month follow-up was assessed using a Bayesian posterior 95% credibility interval for the absolute difference between trial arms.
