load and define things

preprocess

Do eliminations

Likeability ratings

Likeability ratings by condition

Workability ratings

Workability ratings by condition

Edit distances

## 
##  Welch Two Sample t-test
## 
## data:  inGroup$mean and outGroup$mean
## t = -1.9889, df = 66.547, p-value = 0.05082
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -1.122754240  0.002069716
## sample estimates:
## mean of x mean of y 
##  1.762277  2.322619

## 
##  Welch Two Sample t-test
## 
## data:  inGroup$mean and outGroup$mean
## t = -1.9355, df = 66.388, p-value = 0.05719
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.94294913  0.01459138
## sample estimates:
## mean of x mean of y 
##  1.580357  2.044536

calculate power

## 
##      Two-sample t test power calculation 
## 
##               n = 77.55691
##           delta = 0.4641789
##              sd = 1.025269
##       sig.level = 0.05
##           power = 0.8
##     alternative = two.sided
## 
## NOTE: n is number in *each* group
## 
##      Two-sample t test power calculation 
## 
##               n = 100
##           delta = 0.4641789
##              sd = 1.025269
##       sig.level = 0.05
##           power = 0.8898661
##     alternative = two.sided
## 
## NOTE: n is number in *each* group

RTs 

## 
##  Welch Two Sample t-test
## 
## data:  inGroup$mean_rt and outGroup$mean_rt
## t = 0.8379, df = 50.997, p-value = 0.406
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.1951618  0.4747723
## sample estimates:
## mean of x mean of y 
##  7.858352  7.718547

Accuracy by condition 

## 
##  Welch Two Sample t-test
## 
## data:  inGroup$prop_correct and outGroup$prop_correct
## t = 1.5719, df = 60.285, p-value = 0.1212
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
##  -0.02788216  0.23260973
## sample estimates:
## mean of x mean of y 
## 0.3203125 0.2179487

calculate power

## 
##      Two-sample t test power calculation 
## 
##               n = 200
##           delta = 0.1023638
##              sd = 0.2710341
##       sig.level = 0.05
##           power = 0.9646728
##     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 
## -2.18619 -0.51926 -0.06338  0.49333  2.77531 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 10.08775    1.25632   8.030 2.13e-11 ***
## rt          -0.89847    0.16020  -5.608 4.20e-07 ***
## howWell     -0.26932    0.06152  -4.378 4.30e-05 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9064 on 67 degrees of freedom
##   (1 observation deleted due to missingness)
## Multiple R-squared:  0.4487, Adjusted R-squared:  0.4323 
## F-statistic: 27.27 on 2 and 67 DF,  p-value: 2.168e-09
## 
## Call:
## lm(formula = edits ~ rt + likable, data = k)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -2.31334 -0.62638 -0.03155  0.63078  2.34097 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) 10.24916    1.38540   7.398 2.93e-10 ***
## rt          -0.95343    0.17306  -5.509 6.18e-07 ***
## likable     -0.17351    0.06835  -2.539   0.0135 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.9818 on 67 degrees of freedom
##   (1 observation deleted due to missingness)
## Multiple R-squared:  0.3532, Adjusted R-squared:  0.3339 
## F-statistic: 18.29 on 2 and 67 DF,  p-value: 4.575e-07
## 
## Call:
## lm(formula = prop_correct ~ rt + likable, data = k)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -0.37664 -0.16256 -0.01435  0.09779  0.71793 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) -1.43431    0.31254  -4.589 1.97e-05 ***
## rt           0.19345    0.03931   4.922 5.74e-06 ***
## likable      0.04416    0.01523   2.900  0.00503 ** 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.2241 on 68 degrees of freedom
## Multiple R-squared:  0.3271, Adjusted R-squared:  0.3073 
## F-statistic: 16.53 on 2 and 68 DF,  p-value: 1.411e-06
##              edits    likable    howWell         rt prop_correct sub
## edits            1         NA         NA         NA           NA  NA
## likable         NA 1.00000000 0.49408050 0.01483277    0.2957269  NA
## howWell         NA 0.49408050 1.00000000 0.09031898    0.4949209  NA
## rt              NA 0.01483277 0.09031898 1.00000000    0.4939086  NA
## prop_correct    NA 0.29572694 0.49492089 0.49390865    1.0000000  NA
## sub             NA         NA         NA         NA           NA   1