Histogram of scores
x x x x x
13.5 14 19 19.5 26
Histogram of ages
x x x x x
20 38 45 47 64
Sex distribution
| Male | Female |
| 5 | 0 |
Country distribution
| CN | IT | JP | RS | US |
| 1 | 1 | 1 | 1 | 1 |
Date when taken
| JUL | AUG | SEP | |
| 2025 | 3 | 1 | 1 |
(by Marc-André Nydegger)
x x x x x
13.5 14 19 19.5 26
x x x x x
20 38 45 47 64
| Male | Female |
| 5 | 0 |
| CN | IT | JP | RS | US |
| 1 | 1 | 1 | 1 | 1 |
| JUL | AUG | SEP | |
| 2025 | 3 | 1 | 1 |
N = 5
Lowest raw score = 13.5
Highest raw score = 26
Range = 13.5
Resolution = 9
Mean = 18.4
Median = 19
Raw score standard deviation = 4.53
Quartile deviation = 2.75
Standard error of measurement = 1.55 raw score points
Skewness = 0.76
Excess Kurtosis = 0.13
Sample-dependent Hardness = 0.32
Sample-independent Hardness = 0.38
Items solved by all = 9
Items solved by none = 2
Cronbach's alpha = 0.8836
Split Half Reliability Index = 0.8669
Spearman–Brown corrected = 0.9287
McDonald's omega = 0.8994
Test dimensionality = multidimensional
Overall discrimination = 0.5917
| Designation | Discrimination index | Number of items |
|---|---|---|
| Excellent | ≥0.7 | 6 |
| Very Good | 0.6–0.6999 | 4 |
| Good | 0.5–0.5999 | 1 |
| Acceptable | 0.4–0.4999 | 3 |
| Borderline | 0.3–0.3999 | 0 |
| Poor | 0.2–0.2999 | 2 |
| Nonfunctional | ≤0.1999 | 1 |
| Insufficient data | NaN | 11 |
You can find explanations about the discrimination computation here.