load and define things

preprocess

Exclusions

Likeability ratings by condition

Workability ratings by condition

Edit distances

RTs 

## 
##  Welch Two Sample t-test
## 
## data:  inGroup$mean_rt and outGroup$mean_rt
## t = 1.3396, df = 188.91, p-value = 0.182
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.06166816  0.32270654
## sample estimates:
## mean of x mean of y 
##  7.977285  7.846765

Accuracy by condition 

## 
##  Welch Two Sample t-test
## 
## data:  inGroup$prop_correct and outGroup$prop_correct
## t = -0.14549, df = 201.4, p-value = 0.8845
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.07720352  0.06659377
## sample estimates:
## mean of x mean of y 
## 0.2621951 0.2675000

calculate power

## 
##      Two-sample t test power calculation 
## 
##               n = 200
##           delta = 0.005304878
##              sd = 0.2672759
##       sig.level = 0.05
##           power = 0.03903779
##     alternative = two.sided
## 
## NOTE: n is number in *each* group

Correlation between likability and number of edits

social variables predict edits controling for rt

## 
## Call:
## lm(formula = edits ~ rt + howWell, data = k)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.3452 -0.7023  0.0489  0.6174  3.3106 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 10.75879    0.71498  15.048  < 2e-16 ***
## rt          -1.03010    0.08972 -11.481  < 2e-16 ***
## howWell     -0.11337    0.03810  -2.975  0.00325 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9448 on 220 degrees of freedom
## Multiple R-squared:  0.4018, Adjusted R-squared:  0.3964 
## F-statistic:  73.9 on 2 and 220 DF,  p-value: < 2.2e-16
## 
## Call:
## lm(formula = edits ~ rt + likable, data = k)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -2.1701 -0.6838  0.0631  0.6167  3.3115 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 10.67335    0.74117  14.401   <2e-16 ***
## rt          -1.05107    0.09102 -11.548   <2e-16 ***
## likable     -0.03872    0.04170  -0.929    0.354    
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9617 on 220 degrees of freedom
## Multiple R-squared:  0.3802, Adjusted R-squared:  0.3746 
## F-statistic: 67.47 on 2 and 220 DF,  p-value: < 2.2e-16