Table 1.
Fixed effects estimated with fully parameterized linear mixed model (LMM) and with repeated-measures multiple regression analysis (rmMRA) for RT (top) and log RT (bottom).
| LMM | rmMRA | |||||
|---|---|---|---|---|---|---|
| Coefficient | SE | t | Coefficient | SE | t | |
| RT (MS) | ||||||
| Mean RT | 390 | 7 | 54.5 | 390 | 7 | 54.5 |
| Spatial | 34 | 3 | 10.2 | 34 | 3 | 10.2 |
| Object | 14 | 2 | 6.0 | 14 | 2 | 5.9 |
| Attraction | 3 | 2 | 1.2 | 3 | 2 | 1.3 |
| LOG RT | ||||||
| Mean RT | 5.936 | 0.019 | 317.9 | 5.936 | 0.019 | 317.9 |
| Spatial | 0.088 | 0.008 | 10.4 | 0.088 | 0.008 | 10.5 |
| Object | 0.037 | 0.006 | 5.9 | 0.036 | 0.006 | 5.8 |
| Attraction | 0.009 | 0.006 | 1.4 | 0.009 | 0.006 | 1.5 |
t > 2.4 is significant at 5% level (two-tailed with Bonferroni correction). Coefficients estimate spatial (c1), object (c2), and attraction (c3) effects (see Eqs 1–3 for definition). Estimates of LMM variance/covariance component parameters and within-subject estimates of correlations are reported in Table 2.