Table 4.
Results of regressing dwelling, skipping, and revisiting, on age, similarity, and set size.
| Skipping | Dwelling | Revisiting | |||||||
|---|---|---|---|---|---|---|---|---|---|
| b | sd(b) | t | b | sd(b) | t | b | sd(b) | t | |
| Intercept | − 0.09 | 0.10 | − 0.93 | − 0.14 | 0.08 | − 1.62 | − 0.12 | 0.08 | − 1.58 |
| Age | 0.11 | 0.10 | 1.13 | 0.36 | 0.08 | 4.30 | 0.20 | 0.08 | 2.58 |
| Similarity | − 0.14 | 0.03 | − 5.48 | 0.54 | 0.02 | 23.08 | 0.32 | 0.03 | 11.58 |
| Set size | 0.37 | 0.03 | 14.91 | − 0.27 | 0.02 | − 11.53 | − 0.09 | 0.03 | − 3.32 |
| Age x Similarity | 0.10 | 0.03 | 3.98 | 0.05 | 0.02 | 2.18 | 0.03 | 0.03 | 1.18 |
| Age x Set size | − 0.07 | 0.03 | − 2.65 | − 0.08 | 0.02 | − 3.23 | − 0.04 | 0.03 | − 1.35 |
Linear multilevel regression of age on dwell times, skipping rates, revisiting rates, and similarity and set size as fixed effects and random intercepts for participants, in target absent trials. Note that multilevel models do not have clear-cut degrees of freedom for t-values. With a high number of observations, t-distributions converge with the standard normal distribution and we interpreted empirical t-values > ± 1.96 as significant. B-values of significant effects are displayed in bold.