As an administrator, you may select one or more of the following elements, depending on your organization’s specifications: Overall Objective Rating, Overall Competency Rating, and Overall Form Rating. Selecting all three allows the comparison of objective scores to competency scores. Once the element is selected, the distribution guideline can be set as optional. This sets the bell curve of the calibration. Two types of distributions can be set: Percentage or Numerical.
Percentage Distribution Guideline: Distributions can be set as % among the subjects based on the ratings provided. For example, on a five-point scale: 5%, 20%, 50%, 20%, and 5%. The distribution guidelines when calibrating performance data can also be set as distribution ranges using any of the supported operators (is between, =, <, <=, >, >=) and/or grouping together multiple rating scales within these ranges.
Using the previous example, on a five-point scale: Rating 1 is between 10-15%, Rating 2 + Rating 3 will have a distribution >= 40%, Rating 4 <= 15%, and Rating 5 =5%.
Caution
Distribution guidelines can also be enforced if this is a requirement in the organization. In that case, a calibration session cannot be finalized unless the distribution guidelines/ranges are met.
This is not a common option since, in some countries, the enforcement of guidelines may lead to legal issues.
Note
If any of the following conditions are met, there is no requirement for the percentages distributed to total 100%:
- More than one rating is included in a guideline.
- An operator other than = is configured in a guideline.
- A rating appears more than once in multiple guidelines.
- Not all ratings are configured in all guidelines.
Numerical Distribution Guideline: The numerical distribution guideline lets you specify the target number of subjects you want to assign to each Performance rating. When defining numerical guidelines, you can use operators = and ranges from...to. You can set several numerical distribution guidelines for a single rating, but you can have only one guideline for the same total number of subjects. For instance, if the total number of subjects is 5, and you already have the guideline "Excellent=1, Good=3, Fair=1", you cannot create another guideline for this total number of 5. In other words, another guideline like "Excellent=2, Good=2, Fair=1" would not be allowed.