Table 2.
Model I. Two-parameter IRT: Baseline items | Model II. Mixed model: Score over time | Model III. Longitudinal IRT: Items over time | |
Intercepts β0 | 1.29 (0.02)** | ||
Item | |||
1 β01 | −1.49 (0.15)** | −2.12 (0.15)** | |
2 β02 | −0.61 (0.13)** | −0.97 (0.13)** | |
3 β03 | −1.56 (0.16)** | −1.85 (0.16)** | |
4 β04 | −2.69 (0.23)** | −3.00 (0.23)** | |
5 β05 | −4.37 (0.35)** | −5.06 (0.35)** | |
6 β06 | −3.26 (0.26)** | −3.83 (0.26)** | |
7 β07 | −3.41 (0.26)** | −4.22 (0.26)** | |
8 β08 | −4.24 (0.35)** | −5.26 (0.35)** | |
9 β09 | −3.06 (0.28)** | −3.21 (0.28)** | |
10 β0_10 | −5.02 (0.40)** | −4.81 (0.40)** | |
Slopes β1 | 0.04 (0.01)** | ||
Item | |||
1 β11 | 0.02 (0.04) | ||
2 β12 | 0.09 (0.04)** | ||
3 β13 | −0.07 (0.04) | ||
4 β14 | −0.04 (0.05) | ||
5 β15 | 0.31 (0.06)** | ||
6 β16 | 0.14 (0.05)** | ||
7 β17 | −0.04 (0.05) | ||
8 β18 | 0.17 (0.05)** | ||
9 β19 | 0.02 (0.05) | ||
10 β1_10 | 0.18 (0.06)** | ||
Item discriminations | |||
a1 | 2.65 (0.15)** | 1.10 (0.07)** | |
a2 | 3.19 (0.16)** | 1.24 (0.06)** | |
a3 | 2.86 (0.17)** | 1.27 (0.07)** | |
a4 | 3.29 (0.21)** | 1.63 (0.07)** | |
a5 | 4.00 (0.28)** | 2.44 (0.10)** | |
a6 | 3.71 (0.22)** | 2.17 (0.08)** | |
a7 | 3.11 (0.22)** | 1.99 (0.08)** | |
a8 | 3.74 (0.28)** | 2.82 (0.10)** | |
a9 | 4.00 (0.28)** | 2.35 (0.09)** | |
a10 | 4.67 (0.32)** | 2.72 (0.10)** | |
Random subject effects | |||
συ1 2 | 0.35 (0.02)** | 2.91 (0.08)** | |
συ1 υ2 | −0.009 (0.004)** | −0.14 (0.03)** | |
συ2 2 | 0.02 (0.002)** | 0.73 (0.03)** | |
Thresholds | |||
γ2 | 1.57 (0.04)** | 1.73 (0.02)** | |
γ3 | 3.74 (0.07)** | 4.10 (0.03)** |
Note. IRT = item response theory.
*p < .05. **p < .05.