(by Marc-André Nydegger)
x
x x x x x x
04 07 15 17 19 20
x
x x x x x x
25 28 38 44 54 55
| Male | Female |
| 5 | 2 |
| CN | IT | JP | RO | US |
| 1 | 1 | 1 | 1 | 3 |
| JAN | FEB | JUN | JUL | AUG | SEP | NOV | |
| 2024 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 2025 | 0 | 0 | 1 | 0 | 1 | 1 | 0 |
| 2026 | 1 | 1 | 0 | 0 | 0 | 0 | 0 |
N = 7
Lowest raw score = 4
Highest raw score = 20
Range = 17
Resolution = 6
Mean = 13.86
Median = 15
Mode = 15
Raw score standard deviation = 5.62
Quartile deviation = 3.5
Standard error of measurement = 1.63 raw score points
Skewness = -0.92
Excess Kurtosis = -0.62
Sample-dependent Hardness = 0.58
Sample-independent Hardness = 0.6
Items solved by all = 4
Items solved by none = 14
Cronbach's alpha = 0.9155
Split Half Reliability Index = 0.903
Spearman–Brown corrected = 0.949
McDonald's omega = 0.9429
Test dimensionality = unidimensional
Overall discrimination = 0.6745
| Designation | Discrimination index | Number of items |
|---|---|---|
| Excellent | ≥0.7 | 7 |
| Very Good | 0.6–0.6999 | 4 |
| Good | 0.5–0.5999 | 2 |
| Acceptable | 0.4–0.4999 | 2 |
| Borderline | 0.3–0.3999 | 3 |
| Poor | 0.2–0.2999 | 0 |
| Nonfunctional | ≤0.1999 | 0 |
| Insufficient data | NaN | 18 |
You can find explanations about the discrimination computation here.