Table 3.
Mixed models for RT.
| npar | AIC | BIC | Χ 2 | Df | Pr(>Χ2) | |
|---|---|---|---|---|---|---|
| RT ~ Morph | 6 | 6541.675 | 6567.198 | |||
| RT ~ Morph + Speaker | 7 | 6482.133 | 6511.91 | 61.542 | 1 | <0.001 |
| RT ~ Morph + Speaker + E + P | 9 | 6483.31 | 6521.595 | 2.823 | 2 | 0.244 |
| RT ~ Morph * Speaker | 10 | 6421.501 | 6464.039 | 63.809 | 1 | <0.001 |
| RT ~ Morph * Speaker + E + P | 12 | 6422.678 | 6473.724 | 2.823 | 2 | 0.244 |
| RT ~ Morph * Speaker + E * P | 13 | 6423.59 | 6478.89 | 1.088 | 1 | 0.297 |
| RT ~ Morph * Speaker * E * P | 34 | 6448.943 | 6593.573 | 16.647 | 21 | 0.732 |
Only random effects are depicted in the table, for all models fixed effects were + (1|Proband). Morph = morphing level, Speaker = voice-gender, E = Estradiol, P = Progesterone, npar = number of parameters. The best fitting model is highlighted in bold.