To ensure that the judging process is fair, we rescale all the scores to match the judging population. It wouldn't be fair, if we didn’t consider this difference.įormally, we denote the standard deviation like this: As an example, imagine that two judges both give the same mean (average) score, but one gives many zeros and fives, while the other gives more ones and fours. The standard deviation measures the “spread” of a judge’s scores. The mean takes all the scores assigned by a judge, adds them up, and divides them by the number of scores assigned, giving an average score. To do this, we utilize a mathematical technique relying on two measures of distribution, the mean and the standard deviation. We ensure that no matter which judges are assigned to you, each application will be treated fairly. If your application was rated by the first judge, it would earn a much higher total score than if it was assigned to the second judge. The first judge is far more generous, as a scorer, than the second judge, who gives much lower scores. One judge scoring an application may take a more critical view, giving any assigned candidate a range of scores only between 1.0 and 2.0, as an example meanwhile, another judge may be more generous and want to score every submission between 4.0 and 5.0.įor illustrative purposes, let’s look at the scores from two hypothetical judges: Since the same judges will not score every application, the question of fairness needs to be explained carefully. The most straightforward way to ensure that everyone is treated by the same set of standards would be to have the same judges score every application unfortunately, due to the number of applications that we may receive, that is not possible. Examples of possible scores for a trait are: 1.4, 3.7, etc.
Those scores will combine to produce a total normalized score. Each trait will be scored on a 0-5 point scale, in increments of 0.1. Those judges will offer both scores and comments against each of four distinct traits. Once a valid application has been submitted, a minimum of five reviewers will be assigned to score each submission.
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