Exclusion criteria on Practice Trials

Stevens practice trials should be tracking std. deviation and anchoring values on every sub condition to determine whether the participant should be excluded or not. Assume that there are 4 subconditions for the practice trials (4 x 4 = 16 rounds).

At the end of the 4 subconditions, we need to display these values so researcher can assess values. If researcher deems that there is a need to continue, there should be an option to continue the practice trials.

@kimdrosa has implemented this by modifying a version of the original codebase. Code below is from her implementation for reference. Pull from her branch.

Flagged message should show IF: -1. a. Any 2 subconditions exceed 0.2, b. Anchoring > 0.5, OR -2. a. Any 2 subconditions exceed 0.2

~~Std. deviation: subcondition is flagged if > 0.2 on their estimated midpoint. If flagged on 2 or more of the subconditions, then they are excluded.~~

private double getStandardDeviation() {
   int subCondition = this.getCurrentCondition().getCurrentSubCondition();
   List<Trial> trials = options.getMethod().getTrials(subCondition);
   double mean = 0;

   for (Trial trial: trials) {
       StevensTrial stevensTrial = (StevensTrial) trial;
       mean += stevensTrial.getEstimatedMidpoint();
   }
   mean = mean/(double) trials.size();
   double variance = 0;
   for (Trial trial: trials) {
       StevensTrial stevensTrial = (StevensTrial) trial;
       variance += Math.pow((stevensTrial.getEstimatedMidpoint() - mean), 2);
   }
   variance = variance/(trials.size() - 1);
   return Math.sqrt(variance);
}

~~Anchoring: flag if value is > 0.6.~~

private double getAnchorValue() {
   int subCondition = this.getCurrentCondition().getCurrentSubCondition();
   List<Trial> trials = options.getMethod().getTrials(subCondition);
   double highRefTrialSum = 0;
   double lowRefTrialSum = 0;

   for (int i = 0; i < 4; i++) {
       StevensTrial stevensTrial = (StevensTrial) trials.get(i);
       double estimatedMidpoint = stevensTrial.getEstimatedMidpoint();
       //System.out.println("Midpoint for SubCondition " + this.getCurrentCondition().getCurrentSubCondition()
       //        + " Trial " + stevensTrial.getTrialNumber());
       if ((stevensTrial.getTrialNumber() == 1) || (stevensTrial.getTrialNumber() == 3))
           highRefTrialSum += estimatedMidpoint;
       else
           lowRefTrialSum += estimatedMidpoint;
   }
   return abs(highRefTrialSum - lowRefTrialSum);
}

coyiutoc / VCL-Web-Framework

Exclusion criteria on Practice Trials #7