Table 7.
PWKL |
MPWKL |
GDI |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Item quality | π(αc|Xi) | Minimum | Maximum | M | CV | Minimum | Maximum | M | CV | Minimum | Maximum | M | CV |
HD-LV | 0.65 | 6 | 13 | 6.99 | 0.10 | 6 | 13 | 6.92 | 0.08 | 6 | 12 | 6.93 | 0.08 |
0.75 | 6 | 14 | 7.86 | 0.14 | 7 | 14 | 7.75 | 0.12 | 7 | 15 | 7.76 | 0.12 | |
0.85 | 9 | 18 | 9.98 | 0.14 | 9 | 19 | 9.74 | 0.13 | 9 | 20 | 9.79 | 0.13 | |
0.95 | 11 | 25 | 12.84 | 0.16 | 11 | 26 | 12.82 | 0.15 | 11 | 26 | 12.84 | 0.15 | |
HD-HV | 0.65 | 6 | 10 | 6.83 | 0.08 | 6 | 7 | 6.75 | 0.06 | 6 | 7 | 6.70 | 0.07 |
0.75 | 6 | 14 | 7.18 | 0.12 | 6 | 8 | 6.83 | 0.06 | 6 | 8 | 6.80 | 0.06 | |
0.85 | 6 | 17 | 7.87 | 0.15 | 6 | 11 | 7.18 | 0.07 | 6 | 11 | 7.04 | 0.06 | |
0.95 | 6 | 17 | 8.71 | 0.16 | 6 | 15 | 8.79 | 0.09 | 7 | 16 | 8.79 | 0.10 | |
LD-LV | 0.65 | 10 | 32 | 12.67 | 0.21 | 10 | 30 | 12.65 | 0.22 | 10 | 29 | 12.62 | 0.22 |
0.75 | 11 | 33 | 14.66 | 0.23 | 11 | 34 | 14.67 | 0.23 | 11 | 34 | 14.64 | 0.23 | |
0.85 | 12 | 50 | 17.80 | 0.24 | 12 | 49 | 17.84 | 0.24 | 12 | 52 | 17.82 | 0.24 | |
0.95 | 16 | 59 | 24.41 | 0.23 | 16 | 74 | 24.39 | 0.23 | 16 | 74 | 24.37 | 0.23 | |
LD-HV | 0.65 | 8 | 22 | 9.04 | 0.17 | 8 | 21 | 9.04 | 0.17 | 8 | 18 | 9.03 | 0.17 |
0.75 | 9 | 26 | 11.25 | 0.19 | 9 | 24 | 11.30 | 0.19 | 9 | 24 | 11.26 | 0.19 | |
0.85 | 11 | 27 | 13.29 | 0.19 | 11 | 32 | 13.20 | 0.18 | 11 | 29 | 13.20 | 0.18 | |
0.95 | 13 | 39 | 17.43 | 0.20 | 13 | 38 | 17.49 | 0.19 | 13 | 41 | 17.48 | 0.20 |
Note. A-CDM = additive CDM; CDM = cognitive diagnosis model; PWKL = posterior-weighted Kullback–Leibler index; MPWKL = modified posterior-weighted Kullback–Leibler index; GDI = G-DINA model discrimination index; G-DINA = generalized DINA; DINA = deterministic inputs, noisy “and” gate; CV = coefficient of variation; HD-LV = high discrimination–low variance; HD-HV = high discrimination–high variance; LD-LV = low discrimination–low variance; LD-HV = low discrimination–high variance.