# Model fit
![[rating2_pred 6.png]]
![[rt_pred 6.png]]
![[rt1_pred 6.png]]
# Parameters
## Drift b0
![[driftb0 8.png]]
```r
> d[condition %in% c(0, 1), summaryh(lmer(driftb0 ~ conditionEC * platformZ + (1 + conditionEC | study)))]
boundary (singular) fit: see ?isSingular
term results
1: (Intercept) b = −0.29, SE = 0.06, t(7) = −4.64, p = .002, r = 0.87
2: conditionEC b = 0.04, SE = 0.06, t(7) = 0.61, p = .559, r = 0.22
3: platformZ b = −0.10, SE = 0.06, t(7) = −1.57, p = .159, r = 0.50
4: conditionEC:platformZ b = −0.09, SE = 0.06, t(9) = −1.58, p = .151, r = 0.47
```
## Drift b1
![[driftb1 7.png]]
Significant effect of condition
```r
> d[condition %in% c(0, 1), summaryh(lmer(driftb1 ~ conditionEC * platformZ + (1 + conditionEC | study)))]
boundary (singular) fit: see ?isSingular
term results
1: (Intercept) b = 0.30, SE = 0.08, t(6) = 3.63, p = .010, r = 0.82
2: conditionEC b = 0.24, SE = 0.07, t(11) = 3.65, p = .004, r = 0.74 #
3: platformZ b = −0.09, SE = 0.08, t(6) = −1.14, p = .294, r = 0.41
4: conditionEC:platformZ b = 0.04, SE = 0.07, t(14) = 0.57, p = .580, r = 0.15
```
## Boundary
![[b 7.png]]
```r
> d[condition %in% c(0, 1), summaryh(lmer(B ~ conditionEC * platformZ + (1 + conditionEC | study)))]
boundary (singular) fit: see ?isSingular
term results
1: (Intercept) b = 3.06, SE = 0.20, t(6) = 15.15, p < .001, r = 0.99
2: conditionEC b = 0.05, SE = 0.14, t(9) = 0.36, p = .730, r = 0.11
3: platformZ b = −0.04, SE = 0.20, t(6) = −0.20, p = .851, r = 0.08
4: conditionEC:platformZ b = 0.22, SE = 0.14, t(12) = 1.57, p = .144, r = 0.42
```
## Starting point
![[bias 8.png]]
```r
> d[condition %in% c(0, 1), summaryh(lmer(x0 ~ conditionEC * platformZ + (1 + conditionEC | study)))]
boundary (singular) fit: see ?isSingular
term results
1: (Intercept) b = −0.02, SE = 0.02, t(5) = −1.19, p = .285, r = 0.47
2: conditionEC b = 0.01, SE = 0.02, t(479) = 0.55, p = .582, r = 0.03
3: platformZ b = 0.02, SE = 0.02, t(6) = 0.99, p = .360, r = 0.38
4: conditionEC:platformZ b = −0.01, SE = 0.02, t(780) = −0.50, p = .614, r = 0.02
```
## Non-decision time
![[ndt 8.png]]
```r
> d[condition %in% c(0, 1), summaryh(lmer(nondectime ~ conditionEC * platformZ + (1 + conditionEC | study)))]
boundary (singular) fit: see ?isSingular
term results
1: (Intercept) b = 3.17, SE = 0.15, t(5) = 20.58, p < .001, r = 0.99
2: conditionEC b = −0.13, SE = 0.13, t(9) = −1.03, p = .330, r = 0.32
3: platformZ b = 0.23, SE = 0.15, t(5) = 1.54, p = .183, r = 0.57
4: conditionEC:platformZ b = −0.04, SE = 0.13, t(12) = −0.33, p = .748, r = 0.09
```