Histogram of scores
x
x x x x
18 26 27 37
Histogram of ages
x
x x x x
26 27 38 44
Sex distribution
Male | Female |
5 | 0 |
Country distribution
CN | IT | US |
3 | 1 | 1 |
Date when taken
SEP | OCT | |
2024 | 1 | 4 |
(by Marc-André Nydegger)
x
x x x x
18 26 27 37
x
x x x x
26 27 38 44
Male | Female |
5 | 0 |
CN | IT | US |
3 | 1 | 1 |
SEP | OCT | |
2024 | 1 | 4 |
N = 5
Lowest raw score = 18
Highest raw score = 37
Range = 20
Resolution = 7
Mean = 25.2
Median = 26
Mode = 18
Raw score standard deviation = 7.03
Quartile deviation = 4.5
Standard error of measurement = 1.84 raw score points
Skewness = 0.78
Excess Kurtosis = 0.13
Sample-dependent Hardness = 0.3
Sample-independent Hardness = 0.39
Items solved by all = 14
Items solved by none = 0
Cronbach's alpha = 0.9312
Split Half Reliability Index = 0.9141
Spearman–Brown corrected = 0.9551
McDonald's omega = 0.9234
Test dimensionality = essential unidimensionality
Overall discrimination = 0.6394
Designation | Discrimination index | Number of items |
---|---|---|
Excellent | ≥0.7 | 17 |
Very Good | 0.6–0.6999 | 1 |
Good | 0.5–0.5999 | 0 |
Acceptable | 0.4–0.4999 | 2 |
Borderline | 0.3–0.3999 | 0 |
Poor | 0.2–0.2999 | 0 |
Nonfunctional | ≤0.1999 | 3 |
Insufficient data | NaN | 14 |
You can find explanations about the discrimination computation here.