The basic measure for Inter-Rater`s reliability is a percentage agreement between advisors. In this example, the percentage comparison is used to identify relatively close numbers. The following options are defined: The reliability of Interrater is the degree of agreement between the advisors or the judges. If everyone agrees, IRR is 1 (or 100%) and if not everyone agrees, IRR is 0 (0%). There are several methods of calculating IRR, from the simple (z.B. percent) to the most complex (z.B. Cohens Kappa). What you choose depends largely on the type of data you have and the number of advisors in your model. Multiply the quotient value by 100 to get the percentage parity for the equation. You can also move the decimal place to the right two places, which offers the same value as multiplying by 100. Step 3: For each pair, put a “1” for the chord and “0” for the chord. For example, participant 4, Judge 1/Judge 2 disagrees (0), Judge 1/Judge 3 disagrees (0) and Judge 2 /Judge 3 agreed (1). Subtract the two numbers from each other, and place the value of the difference in the counter position.
When calculating the percentage agreement, you must determine the percentage of the difference between two digits. This value can be useful if you want to show the difference between two percentage numbers. Scientists can use the two-digit percentage agreement to show the percentage of the relationship between the different results. When calculating the percentage difference, you have to take the difference in values, divide it by the average of the two values, and then multiply that number of times 100. If you have multiple advisors, calculate the percentage agreement as follows: Use the percentage difference comparison to compare values that are relatively close to each other. This is useful when comparing values such as order amounts, which can range from very low to very high, which means that a comparison of absolute differences would lead to misleading results if one looks like double digits. For example, the values “0.5” and “1.20” can be considered much lower than the values “8200” and “8300.”