Histogram of scores
x x x x
04 07 15 19
Histogram of ages
x
x x x
25 38 44
Sex distribution
| Male | Female |
| 2 | 2 |
Country distribution
| IT | JP | RO | US |
| 1 | 1 | 1 | 1 |
Date when taken
| JUN | JUL | AUG | NOV | |
| 2024 | 0 | 1 | 0 | 1 |
| 2025 | 1 | 0 | 1 | 0 |
(by Marc-André Nydegger)
x x x x
04 07 15 19
x
x x x
25 38 44
| Male | Female |
| 2 | 2 |
| IT | JP | RO | US |
| 1 | 1 | 1 | 1 |
| JUN | JUL | AUG | NOV | |
| 2024 | 0 | 1 | 0 | 1 |
| 2025 | 1 | 0 | 1 | 0 |
N = 4
Lowest raw score = 4
Highest raw score = 19
Range = 16
Resolution = 6.63
Mean = 11.25
Median = 11
Raw score standard deviation = 6.02
Quartile deviation = 4.88
Standard error of measurement = 1.58 raw score points
Skewness = 0.12
Excess Kurtosis = -3.63
Sample-dependent Hardness = 0.69
Sample-independent Hardness = 0.77
Items solved by all = 4
Items solved by none = 16
Cronbach's alpha = 0.9309
Split Half Reliability Index = 0.945
Spearman–Brown corrected = 0.9717
McDonald's omega = 0.9612
Test dimensionality = unidimensional
| Designation | Discrimination index | Number of items |
|---|---|---|
| Excellent | ≥0.7 | 0 |
| Very Good | 0.6–0.6999 | 0 |
| Good | 0.5–0.5999 | 0 |
| Acceptable | 0.4–0.4999 | 0 |
| Borderline | 0.3–0.3999 | 0 |
| Poor | 0.2–0.2999 | 0 |
| Nonfunctional | ≤0.1999 | 0 |
| Insufficient data | NaN | 36 |
You can find explanations about the discrimination computation here.