Repeated Measures t-test of cue P300 amplitudes from the MID
task
Descriptives of difference wave of P300 amplitudes (T2-T1) for Gain
trials
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 45 -0.41 3.05 -0.7 -0.46 3.05 -6.78 8.3 15.08 0.37 0.06 0.45
Descriptives of difference wave of P300 amplitudes (T2-T1) for Loss
trials
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 45 0.05 3.57 -0.14 -0.2 3.13 -6.58 11.2 17.78 0.77 0.74 0.53
Descriptives of difference wave of P300 amplitudes (T2-T1) for
Nogain trials
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 45 -0.07 2.35 -0.06 -0.1 2.57 -6.46 5.72 12.19 -0.01 0.08 0.35
Descriptives of difference wave of P300 amplitudes (T2-T1) for All
trials
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 45 -0.16 2.42 0.04 -0.3 2.76 -4.25 6.25 10.5 0.55 -0.23 0.36
Boxplot of the difference wave of P300 amplitudes (T2-T1) for Gain
trials
Boxplot of the difference wave of P300 amplitudes (T2-T1) for Loss
trials
Boxplot of the difference wave of P300 amplitudes (T2-T1) for Nogain
trials
Boxplot of the difference wave of P300 amplitudes (T2-T1) for All
trials
Testing for Normality with a Shapiro-Wilk test of the difference
wave of P300
##
## Shapiro-Wilk normality test
##
## data: df$gainDiff
## W = 0.9809, p-value = 0.6563
##
## Shapiro-Wilk normality test
##
## data: df$lossDiff
## W = 0.96322, p-value = 0.162
##
## Shapiro-Wilk normality test
##
## data: df$nogainDiff
## W = 0.98221, p-value = 0.7097
##
## Shapiro-Wilk normality test
##
## data: df$allDiff
## W = 0.9634, p-value = 0.1646
QQ plot of the difference wave of P300 amplitudes (T2-T1) for Gain
trials
QQ plot of the difference wave of P300 amplitudes (T2-T1) for Loss
trials
QQ plot of the difference wave of P300 amplitudes (T2-T1) for Nogain
trials
QQ plot of the difference wave of P300 amplitudes (T2-T1) for All
trials
t-tests for P300 amplitudes between T1 and T2 for Gain, Loss,
Nogain, and All Trials
##
## Paired t-test
##
## data: df$t2_Pz_cueP3_gain and df$t1_Pz_cueP3_gain
## t = -0.896, df = 44, p-value = 0.3751
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
## -1.3217869 0.5082005
## sample estimates:
## mean difference
## -0.4067932
##
## Paired t-test
##
## data: df$t2_Pz_cueP3_loss and df$t1_Pz_cueP3_loss
## t = 0.091544, df = 44, p-value = 0.9275
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
## -1.022652 1.119976
## sample estimates:
## mean difference
## 0.04866222
##
## Paired t-test
##
## data: df$t2_Pz_cueP3_nogain and df$t1_Pz_cueP3_nogain
## t = -0.20316, df = 44, p-value = 0.8399
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
## -0.7785694 0.6359733
## sample estimates:
## mean difference
## -0.07129807
##
## Paired t-test
##
## data: df$t2_Pz_cueP3_all and df$t1_Pz_cueP3_all
## t = -0.45585, df = 44, p-value = 0.6507
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
## -0.8906737 0.5620788
## sample estimates:
## mean difference
## -0.1642975
Cohen’s d for Gain Trials
## d (rm) | 95% CI
## ----------------------
## 0.11 | [-0.14, 0.36]
##
## - Adjusted for small sample bias.
Cohen’s d for Loss Trials
## d (rm) | 95% CI
## ----------------------
## -0.01 | [-0.30, 0.28]
##
## - Adjusted for small sample bias.
Cohen’s d for Nogain Trials
## d (rm) | 95% CI
## ----------------------
## 0.02 | [-0.20, 0.25]
##
## - Adjusted for small sample bias.
Cohen’s d for All Trials
## d (rm) | 95% CI
## ----------------------
## 0.05 | [-0.17, 0.28]
##
## - Adjusted for small sample bias.
Rerun analyses only with participants who underwent BA therapy
Descriptives of difference wave of P300 amplitudes (T2-T1) in BA for
Gain trials
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 34 -0.77 3.19 -1.33 -0.88 2.86 -6.78 8.3 15.08 0.53 0.19 0.55
Descriptives of difference wave of P300 amplitudes (T2-T1) in BA for
Loss trials
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 34 0.03 3.88 -0.1 -0.27 3.24 -6.58 11.2 17.78 0.78 0.47 0.66
Descriptives of difference wave of P300 amplitudes (T2-T1) in BA for
Nogain trials
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 34 -0.19 2.5 -0.2 -0.24 2.35 -6.46 5.72 12.19 0.12 0.1 0.43
Descriptives of difference wave of P300 amplitudes (T2-T1) in BA for
All trials
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 34 -0.34 2.57 -0.57 -0.55 2.39 -4.25 6.25 10.5 0.68 -0.16 0.44
Boxplot of the difference wave of P300 amplitudes (T2-T1) in BA for
Gain trials
Boxplot of the difference wave of P300 amplitudes (T2-T1) in BA for
Loss trials
Boxplot of the difference wave of P300 amplitudes (T2-T1) in BA for
Nogain trials
Boxplot of the difference wave of P300 amplitudes (T2-T1) in BA for
All trials
Testing for Normality with a Shapiro-Wilk test of the difference
wave of P300
##
## Shapiro-Wilk normality test
##
## data: dfBA$gainDiff
## W = 0.97043, p-value = 0.4735
##
## Shapiro-Wilk normality test
##
## data: dfBA$lossDiff
## W = 0.95489, p-value = 0.1719
##
## Shapiro-Wilk normality test
##
## data: dfBA$nogainDiff
## W = 0.98363, p-value = 0.8781
##
## Shapiro-Wilk normality test
##
## data: dfBA$allDiff
## W = 0.94085, p-value = 0.06536
QQ plot of the difference wave of P300 amplitudes (T2-T1) in BA for
Gain trials
QQ plot of the difference wave of P300 amplitudes (T2-T1) in BA for
Loss trials
QQ plot of the difference wave of P300 amplitudes (T2-T1) in BA for
Nogain trials
QQ plot of the difference wave of P300 amplitudes (T2-T1) in BA for
All trials
t-tests for P300 amplitudes in BA between T1 and T2 for Gain, Loss,
Nogain, and All Conditions
##
## Paired t-test
##
## data: dfBA$t2_Pz_cueP3_gain and dfBA$t1_Pz_cueP3_gain
## t = -1.4009, df = 33, p-value = 0.1706
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
## -1.8775791 0.3463187
## sample estimates:
## mean difference
## -0.7656302
##
## Paired t-test
##
## data: dfBA$t2_Pz_cueP3_loss and dfBA$t1_Pz_cueP3_loss
## t = 0.045087, df = 33, p-value = 0.9643
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
## -1.322767 1.382724
## sample estimates:
## mean difference
## 0.02997856
##
## Paired t-test
##
## data: dfBA$t2_Pz_cueP3_nogain and dfBA$t1_Pz_cueP3_nogain
## t = -0.43985, df = 33, p-value = 0.6629
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
## -1.0600098 0.6831493
## sample estimates:
## mean difference
## -0.1884303
##
## Paired t-test
##
## data: dfBA$t2_Pz_cueP3_all and dfBA$t1_Pz_cueP3_all
## t = -0.7704, df = 33, p-value = 0.4465
## alternative hypothesis: true mean difference is not equal to 0
## 95 percent confidence interval:
## -1.2378407 0.5578713
## sample estimates:
## mean difference
## -0.3399847
Cohen’s d for Gain Trials in BA participants
## d (rm) | 95% CI
## ----------------------
## 0.20 | [-0.08, 0.48]
##
## - Adjusted for small sample bias.
Cohen’s d for Loss Trials in BA participants
## d (rm) | 95% CI
## -------------------------
## -7.76e-03 | [-0.34, 0.33]
##
## - Adjusted for small sample bias.
Cohen’s d for Nogain Trials in BA participants
## d (rm) | 95% CI
## ----------------------
## 0.06 | [-0.20, 0.32]
##
## - Adjusted for small sample bias.
Cohen’s d for All Trials in BA participants
## d (rm) | 95% CI
## ----------------------
## 0.10 | [-0.16, 0.36]
##
## - Adjusted for small sample bias.