Table 2.
Effect | dfa | F | p | ηp2 | BFInclusionb | Support |
---|---|---|---|---|---|---|
Situation Selection: 3 (valence) × 2 (arousal) × 3 (age group) | ||||||
Age | 2, 222 | 0.11 | .898 | .001 | 0.801 | Anecdotal |
Valence | 1.94, 431 | 13.14 | < .001 | .056 | 1.10e+7 | Extreme H1 |
Age × Valence | 3.89,431 | 3.59 | .007 | .031 | 4.74 | Moderate H1 |
Arousal | 1,222 | 1.55 | .214 | .007 | 0.034 | Strong H0 |
Age × Arousal | 1,222 | 3.02 | .051 | .026 | 0.010 | Very Strong H0 |
Valence × Aro | 1.99, 444 | 0.43 | .654 | .002 | 0.004 | Extreme H0 |
Age × Val. × Aro | 4.00, 444 | 1.17 | .323 | .010 | 2.80e-5 | Extreme H0 |
Situation Modification: 2 (valence)x 2 (arousal)x 3 (age group) | ||||||
Age | 1, 217 | 1.18 | .308 | .011 | 0.108 | Moderate H0 |
Valence | 1, 217 | 171.79 | <.001 | .442 | ∞ | Extreme H1 |
Age × Valence | 2, 217 | 1.84 | .161 | .017 | 0.155 | Moderate H0 |
Arousalc | 1, 217 | 19.47 | <.001 | .082 | 179555 | Extreme H1 |
Age × Arousal | 2, 217 | 2.18 | .115 | .020 | 0.063 | Strong H0 |
Valence × Aro | 1, 217 | 33.98 | <.001 | .135 | 32229 | Extreme H1 |
Age × Val. × Aro | 2, 217 | 5.16 | .006 | .045 | 0.145 | Moderate H0 |
Attentional Deployment: 3 (valence)x 2 (arousal)x 3 (age group) | ||||||
Age | 1, 152 | 0.41 | .664 | .005 | 0.138 | Moderate H0 |
Valence | 2, 304 | 27.02 | <.001 | .151 | ∞ | Extreme H1 |
Age × Valence | 4, 304 | 2.81 | .026 | .036 | 0.473 | Anecdotal |
Arousal | 1, 152 | 85.25 | <.001 | .359 | ∞ | Extreme H1 |
Age × Arousal | 2, 142 | 4.15 | .018 | .052 | 0.057 | Strong H0 |
Valence × Aro | 1.92, 292 | 91.54 | <.001 | .376 | ∞ | Extreme H1 |
Age × Val × Aro | 3.84, 292 | 0.24 | .909 | .003 | 0.011 | Very strong H0 |
Notes.Where degrees of freedom include decimals, Mauchly’s test of sphericity was significant and the Greenhouse-Geisser correction was used.
The BFinlusion reflects the degree of support for including the effect in the model, compared to omitting it.