| | Psychological Reward | Behavioral Reward |
|---|
Estimate | Std. Error | df | t value | Pr(>|t|) | Estimate | Std. Error | df | t value | Pr(>|t|) |
|---|
(Intercept) | 43.01 | 1.71 | 85.04 | 25.16 | 0.00 | 43.09 | 1.79 | 84.62 | 24.12 | 0.00 |
LaggedPA | 0.32 | 0.01 | 4348.66 | 22.89 | 0.00 | 0.33 | 0.01 | 4355.76 | 22.98 | 0.00 |
Reward | 6.27 | 1.04 | 53.73 | 6.04 | 0.00 | 3.70 | 0.74 | 71.94 | 5.00 | 0.00 |
Anhedonia | −19.77 | 2.33 | 85.38 | −8.49 | 0.00 | −18.21 | 2.43 | 84.97 | −7.48 | 0.00 |
Reward:Anhedonia | 3.61 | 1.44 | 56.80 | 2.51 | 0.01 | −1.43 | 1.04 | 75.71 | −1.38 | 0.17 |
- Dependent variable is Positive Affect (PA); PA is the average of feeling relaxed, happy, and euphoric; LaggedPA is the person-mean centered lagged variable of PA (i.e., PA on t-1); BR stands for Behavioral Reward. To maintain a familywise error rate of .05 over all analyses of PA reactivity (see Additional file 1), a Bonferroni-correction of a’ = 1-(1-a)1VeffLi was be applied with VeffLi being the ‘effective number’ of independent tests corrected for the correlation amongst the different predictors. Using the approach proposed by Li & Ji [39], we calculated that a p < .01 is required to keep Type I Error Rate at 5% accordingly (for the full calculations, please see the Additional file 1 or Rmarkdown file of the Additional file 1 on Open Science Framework: https://osf.io/8gxrw/)
