Histogram of scores
x x x x x
04 07 15 17 19
Histogram of ages
x
x x x x
25 38 44 55
Sex distribution
| Male | Female |
| 3 | 2 |
Country distribution
| IT | JP | RO | US |
| 1 | 1 | 1 | 2 |
Date when taken
| JUN | JUL | AUG | SEP | NOV | |
| 2024 | 0 | 1 | 0 | 0 | 1 |
| 2025 | 1 | 0 | 1 | 1 | 0 |
(by Marc-André Nydegger)
x x x x x
04 07 15 17 19
x
x x x x
25 38 44 55
| Male | Female |
| 3 | 2 |
| IT | JP | RO | US |
| 1 | 1 | 1 | 2 |
| JUN | JUL | AUG | SEP | NOV | |
| 2024 | 0 | 1 | 0 | 0 | 1 |
| 2025 | 1 | 0 | 1 | 1 | 0 |
N = 5
Lowest raw score = 4
Highest raw score = 19
Range = 16
Resolution = 6.25
Mean = 12.4
Median = 15
Raw score standard deviation = 5.85
Quartile deviation = 5
Standard error of measurement = 1.6 raw score points
Skewness = -0.52
Excess Kurtosis = -2.39
Sample-dependent Hardness = 0.58
Sample-independent Hardness = 0.68
Items solved by all = 4
Items solved by none = 15
Cronbach's alpha = 0.9252
Split Half Reliability Index = 0.9292
Spearman–Brown corrected = 0.9633
McDonald's omega = 0.9542
Test dimensionality = unidimensional
Overall discrimination = 0.7212
| Designation | Discrimination index | Number of items |
|---|---|---|
| Excellent | ≥0.7 | 9 |
| Very Good | 0.6–0.6999 | 3 |
| Good | 0.5–0.5999 | 3 |
| Acceptable | 0.4–0.4999 | 0 |
| Borderline | 0.3–0.3999 | 1 |
| Poor | 0.2–0.2999 | 0 |
| Nonfunctional | ≤0.1999 | 1 |
| Insufficient data | NaN | 19 |
You can find explanations about the discrimination computation here.