Table 4.
Experiment 2 Growth Curve Model
| b | SE | df | χ2 | 95% CI | |
|---|---|---|---|---|---|
| Intercept | −1.41 | 0.02 | 1 | 250.68*** | [−1.44, −1.37] |
| ot1 | −1.30 | 0.08 | 1 | 110.68*** | [−1.42, −1.18] |
| ot2 | 0.21 | 0.07 | 1 | 9.97** | [0.09, 0.33] |
| ot3 | 0.27 | 0.06 | 1 | 18.95*** | [0.15, 0.38] |
| Image | −0.04 | 0.04 | 1 | 0.86 | [−0.11, 0.05] |
| ot1 x Image | 0.15 | 0.16 | 1 | 0.80 | [−0.17, 0.47] |
| ot2 x Image | −0.23 | 0.12 | 1 | 3.48 | [−0.45, 0.02] |
| ot3 x Image | 0.13 | 0.08 | 1 | 2.24 | [−0.04, 0.29] |
| Group | 0.12 | 0.03 | 1 | 10.57** | [0.05, 0.18] |
| ot1 x Group | −0.10 | 0.13 | 1 | 0.62 | [−0.33, 0.14] |
| ot2 x Group | −0.32 | 0.13 | 1 | 5.88* | [−0.57, −0.07] |
| ot3 x Group | 0.18 | 0.11 | 1 | 2.49 | [0.07, 0.41] |
| Image x Group | −0.04 | 0.08 | 1 | 0.22 | [−0.21, 0.12] |
| ot1 x Image x Group | 0.13 | 0.32 | 1 | 0.16 | [−0.51, 0.79] |
| ot2 x Image x Group | 0.08 | 0.24 | 1 | 0.10 | [−0.38, 0.52] |
| ot3 x Image x Group | 0.06 | 0.17 | 1 | 0.13 | [−0.27, 0.38] |
Note. ot1=linear orthogonal time, ot2 = quadratic orthogonal time, ot3= cubic orthogonal time, χ2 represents likelihood ratio test for each fixed effect compared to the full model. The syntax of the R-code for the fixed and random effects of the model is: Elog~ (ot1 + ot2 + ot3) * Image * Group + ((ot1+ot2+ot3) * Image | | Participant).
p<.05,
p<.01,
p<.001