Histogram of scores
x
x x x x x x
18 21 23 26 27 37
Histogram of ages
x
x x
x x x x
26 27 38 44
Sex distribution
| Male | Female |
| 7 | 0 |
Country distribution
| CN | BG | IT | TR | US |
| 3 | 1 | 1 | 1 | 1 |
Date when taken
| SEP | OCT | DEC | |
| 2024 | 1 | 4 | 0 |
| 2025 | 0 | 1 | 1 |
Computed using software developed by Marc-André Nydegger
x
x x x x x x
18 21 23 26 27 37
x
x x
x x x x
26 27 38 44
| Male | Female |
| 7 | 0 |
| CN | BG | IT | TR | US |
| 3 | 1 | 1 | 1 | 1 |
| SEP | OCT | DEC | |
| 2024 | 1 | 4 | 0 |
| 2025 | 0 | 1 | 1 |
N = 7
Lowest raw score = 18
Highest raw score = 37
Range = 20
Resolution = 4.5
Mean = 24.29
Median = 23
Mode = 18
Raw score standard deviation = 6.13
Quartile deviation = 3.5
Standard error of measurement = 1.84 raw score points
Skewness = 1.28
Excess Kurtosis = 1.73
Sample-dependent Hardness = 0.38
Sample-independent Hardness = 0.39
Items solved by all = 12
Items solved by none = 0
Cronbach's alpha = 0.9096
Split Half Reliability Index = 0.8878
Spearman–Brown corrected = 0.9406
McDonald's omega = 0.8919
Test dimensionality = unidimensional
Overall discrimination = 0.5331
| Designation | Discrimination index | Number of items |
|---|---|---|
| Excellent | ≥0.7 | 14 |
| Very Good | 0.6–0.6999 | 3 |
| Good | 0.5–0.5999 | 1 |
| Acceptable | 0.4–0.4999 | 0 |
| Borderline | 0.3–0.3999 | 2 |
| Poor | 0.2–0.2999 | 2 |
| Nonfunctional | ≤0.1999 | 3 |
| Insufficient data | NaN | 12 |
You can find explanations about the discrimination computation here.