In this competition, the judges agreed on 3 out of 5 points. The approval percentage is 3/5 – 60%. Pearson`s “R-Displaystyle,” Kendall format or Spearman`s “Displaystyle” can measure the pair correlation between advisors using an orderly scale. Pearson believes that the scale of evaluation is continuous; Kendall and Spearman`s statistics only assume it`s ordinal. If more than two clicks are observed, an average match level for the group can be calculated as the average value of the R-Displaystyle r values, or “Displaystyle” of any pair of debtors. Use the boarding school agreement to evaluate the agreement between two classifications (nominal or ordinal scales). A serious error in this type of reliability between boards is that the random agreement does not take into account and overestimates the level of agreement. This is the main reason why the percentage of consent should not be used for scientific work (i.e. doctoral theses or scientific publications). We find that it shows a greater resemblance between A and B in the second case, compared to the first. Indeed, if the percentage of agreement is the same, the percentage of agreement that would occur “by chance” is much higher in the first case (0.54 vs. 0.46).

Krippendorffs Alpha[16][17] is a versatile statistic that evaluates the agreement between observers who categorize, evaluate or measure a certain number of objects against the values of a variable. It generalizes several specialized agreement coefficients by accepting any number of observers applicable to nominal, ordinal, interval and proportional levels of measurement, capable of processing missing and corrected data for small sample sizes. For variables with more than two measurements, we also assessed the impact of using an ordinal scale instead of a nominal scale on predicted reliability. As Fleiss`K offers no possibility of escalation of ordination, we did this analysis only for the Krippendorff Alpha. Alpha`s estimates have increased by 15-50% if an ordinal scale is used against a nominal scale. However, the use of an ordinal scale gives for these correct variable estimates of Alpha, since the data were collected ordinally. Here, we were able to obtain point estimates ranging from 0.70 (HER-2) to 0.88 (estrogen group), indicating a significant convergence between advisors. Kappa is similar to a correlation coefficient, as it can`t exceed 1.0 or -1.0.

Because it is used as a measure of compliance, only positive values are expected in most situations; Negative values would indicate a systematic disagreement. Kappa can only reach very high values if the two matches are good and the target condition rate is close to 50% (because it incorporates the base rate in the calculation of joint probabilities). Several authorities have proposed “thumb rules” to interpret the degree of the agreement, many of which coincide at the center, although the words are not identical. [8] [9] [10] [11] Kappa`s statistics measure the degree of agreement observed between coders for a number of nominal ratings and corrections for an agreement that would be expected to be obtained by chance, and provide a STANDARD IRR index that can be generalized between studies.