Standard setting is the methodology used to determine the proficiency of candidates and the related cut scores for each exam.
Supported Standard Setting Methods
Angoff
Each item in the item-bank can be assigned an Angoff percentage, representing the percentage of minimally competent candidates that would be expected to know the correct answer to the item.
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Borderline Regression
Similar to borderline group, the examiner specifies a global mark for each item answered by the candidate, which minimally has pass/borderline/fail levels. The pass mark is determined by constructing the regression line through all of the groups.
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Cronbach’s Alpha
For each of the standard setting methods the Cronbach’s Alpha reliability metric is also calculated for the exam. This is given for the whole exam as well as what it would be if each item in turn were omitted from the analysis. This allows items that are lowering the reliability of the exam to be excluded from the results. Standard Error of Measurement
The SEM is calculated from the Alpha and is multiplied by a user-input number (the SEM-multiplier) allowing a single-sided confidence interval to be added to the pass mark. For example an SEM-multiplier of 1.64 is equivalent to a 90% confidence that people given a pass should have passed (based on the reliability of the exam), and 1.96 corresponds to 95% confidence. |
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