Histogram of scores
x
x x x x x
19 21 26 27 28
Histogram of ages
x
x x x x x
27 30 38 44 46
Sex distribution
| Male | Female |
| 6 | 0 |
Country distribution
| CN | ES | IT | RS | US |
| 2 | 1 | 1 | 1 | 1 |
Date when taken
| APR | JUN | AUG | NOV | |
| 2024 | 0 | 0 | 0 | 2 |
| 2025 | 2 | 1 | 1 | 0 |
(by Marc-André Nydegger)
x
x x x x x
19 21 26 27 28
x
x x x x x
27 30 38 44 46
| Male | Female |
| 6 | 0 |
| CN | ES | IT | RS | US |
| 2 | 1 | 1 | 1 | 1 |
| APR | JUN | AUG | NOV | |
| 2024 | 0 | 0 | 0 | 2 |
| 2025 | 2 | 1 | 1 | 0 |
N = 6
Lowest raw score = 19
Highest raw score = 28
Range = 10
Resolution = 4.13
Mean = 23.33
Median = 23.5
Mode = 19
Raw score standard deviation = 3.77
Quartile deviation = 3.63
Standard error of measurement = 1.88 raw score points
Skewness = -0.02
Excess Kurtosis = -2.79
Sample-dependent Hardness = 0.38
Sample-independent Hardness = 0.43
Items solved by all = 12
Items solved by none = 6
Cronbach's alpha = 0.7502
Split Half Reliability Index = 0.6862
Spearman–Brown corrected = 0.8139
McDonald's omega = 0.8336
Test dimensionality = essential unidimensionality
Overall discrimination = 0.3457
| Designation | Discrimination index | Number of items |
|---|---|---|
| Excellent | ≥0.7 | 6 |
| Very Good | 0.6–0.6999 | 0 |
| Good | 0.5–0.5999 | 1 |
| Acceptable | 0.4–0.4999 | 5 |
| Borderline | 0.3–0.3999 | 1 |
| Poor | 0.2–0.2999 | 1 |
| Nonfunctional | ≤0.1999 | 6 |
| Insufficient data | NaN | 18 |
You can find explanations about the discrimination computation here.