Table 6. Multilevel model predicting coincidences/synchronicity via affect.
Coincidences | Synchronicity | |||||
---|---|---|---|---|---|---|
Predictors | Estimates | Conf. Int (95%) | p-value | Estimates | Conf. Int (95%) | p-value |
Intercept | -0.30 | -0.52 – -0.07 | 0.010 | -0.31 | -0.62 – 0.01 | 0.054 |
PA (trait Level 2) | 0.08 | 0.02 – 0.13 | 0.010 | 0.16 | 0.08 – 0.24 | <0.001 |
PA (state Level 1) | 0.02 | -0.01 – 0.04 | 0.140 | 0.08 | 0.05 – 0.11 | <0.001 |
NA (trait Level 2) | 0.16 | 0.06 – 0.26 | 0.001 | 0.09 | -0.04 – 0.22 | 0.182 |
NA (state Level 1) | -0.02 | -0.05 – 0.02 | 0.336 | 0.04 | -0.01 – 0.09 | 0.146 |
Random Effects | ||||||
σ2 | 0.02 | 0.03 | ||||
τ00 | 0.02 Participant | 0.04 Participant | ||||
ICC | 0.55 | 0.55 | ||||
N | 80 Participant | 80 Participant | ||||
Observations | 482 | 482 | ||||
Marginal R2 / Conditional R2 | 0.119 / 0.601 | 0.138 / 0.615 |