Histogram of scores
x
x x x x x
13.5 14 19 19.5 26
Histogram of ages
x x x x x x
20 38 39 45 47 64
Sex distribution
| Male | Female |
| 6 | 0 |
Country distribution
| US | CN | IT | JP | RS |
| 2 | 1 | 1 | 1 | 1 |
Date when taken
| JUL | AUG | SEP | DEC | |
| 2025 | 3 | 1 | 1 | 1 |
Computed using software developed by Marc-André Nydegger
x
x x x x x
13.5 14 19 19.5 26
x x x x x x
20 38 39 45 47 64
| Male | Female |
| 6 | 0 |
| US | CN | IT | JP | RS |
| 2 | 1 | 1 | 1 | 1 |
| JUL | AUG | SEP | DEC | |
| 2025 | 3 | 1 | 1 | 1 |
N = 6
Lowest raw score = 13.5
Highest raw score = 26
Range = 13.5
Resolution = 8.75
Mean = 19.25
Median = 20.25
Mode = 21.5
Raw score standard deviation = 4.4
Quartile deviation = 3.13
Standard error of measurement = 1.54 raw score points
Skewness = -0.01
Excess Kurtosis = -1.11
Sample-dependent Hardness = 0.28
Sample-independent Hardness = 0.34
Items solved by all = 12
Items solved by none = 1
Cronbach's alpha = 0.8785
Split Half Reliability Index = 0.833
Spearman–Brown corrected = 0.9089
McDonald's omega = 0.9011
Test dimensionality = multidimensional
Overall discrimination = 0.5626
| Designation | Discrimination index | Number of items |
|---|---|---|
| Excellent | ≥0.7 | 5 |
| Very Good | 0.6–0.6999 | 2 |
| Good | 0.5–0.5999 | 3 |
| Acceptable | 0.4–0.4999 | 4 |
| Borderline | 0.3–0.3999 | 3 |
| Poor | 0.2–0.2999 | 1 |
| Nonfunctional | ≤0.1999 | 0 |
| Insufficient data | NaN | 12 |
You can find explanations about the discrimination computation here.