How it is calculated
CI width.
A smaller CI width means the model produced more consistent aggregate results across the current repeated trials.
Formula
CI width = upper 95% CI bound − lower 95% CI boundCalculation detailsSteps, example, interpretation, and limits
- Calculate the fixed-subject repeated-trial 95% CI.
- Subtract its lower bound from its upper bound.
- Sort exact widths from smallest to largest.
Example: 17.46 − 9.79 = 7.67 questions.
Every model uses the same 95% confidence level, so the level itself cannot define the order. CI width is the comparison measure.
Stable does not mean good. A model can produce a poor score consistently and rank well here. A strong average with a large CI width ranks lower because its repeated results vary more.
This is an approximate stability measure for the current fixed subjects. It is not a prediction interval for individual trials or a pairwise significance test.