Table 3.
Statistical outputs of the GLMMs seeking for association between subjective affective dimensions and pupil size measures.
|
Steady-State
Pupil Size |
Circadian Phase | Steady-State Pupil Size x Circadian Phase | ||
| Dependent variables | Motivation |
F1,196.7 = 4.46
p = 0.04 R2β* = 0.022 |
F12,162.2 = 2.79
p = 0.002 R2β* = 0.17 |
F12,161.7 = 1.62 p = 0.09 |
| Joy |
F1,194.8 = 2.81 p = 0.095 |
F12,164.5 = 1.90
p = 0.04 R2β* = 0.12 |
F12,164 = 1.24 p = 0.26 |
|
| Stress | F1,172.9 = 1.20 p = 0.27 |
F12,160.5 = 1.60 p = 0.096 |
F12,160.4 = 1.00 p = 0.45 |
|
| Anguish | F1,199.5 = 0.87 p = 0.35 |
F12,162.4 = 1.61 p = 0.094 |
F12,161.5 = 1.48 p = 0.14 |
|
| Sociability | F1,198.4 = 0.68 p = 0.41 |
F12,161.2 = 2.19
p = 0.01 R2β* = 0.14 |
F12,160.2 = 1.52 p = 0.12 |
|
|
Pupil size
variability |
Circadian phase | Pupil size variability x circadian phase | ||
| Dependent variables | Motivation | F1,185.5 = 0.91 p = 0.34 |
F12,165.2 = 1.99
p = 0.03 R2β* = 0.13 |
F12,163.2 = 0.77 p = 0.68 |
| Joy | F1,182.6 = 2.36 p = 0.13 |
F12,165.2 = 3.34
p = 0.0002 R2β* = 0.2 |
F12,163.1 = 1.23 p = 0.27 |
|
| Stress | F1,161.1 = 0.71 p = 0.40 |
F12,161.9 = 0.76 p = 0.69 |
F12,161.3 = 0.30 p = 0.99 |
|
| Anguish |
F1,193.9 = 4.81
p = 0.03 R2β* = 0.024 |
F12,165.2 = 1.90
p = 0.04 R2β* = 0.12 |
F12,162.4 = 1.68 p = 0.076 |
|
| Sociability |
F1,189.6 = 4.02
p = 0.046 R2β* = 0.021 |
F12,165.2 = 1.29 p = 0.23 |
F12,162.6 = 0.84 p = 0.61 |
|
Each dependent variable was included in a separate GLMM including pupil measure, circadian phase and their interaction. Degrees of freedom were computed following Kenward-Roger method. Significant linear links are in bold and statistical trends (p < 0.1) are in italic. R2β* represents semi-partial R2 as proposed by [41] (see methods). GLMMs were set according to dependent variables distribution.