Table 4.
Regression coefficients (betas) for the two-factor (mood and symptoms) regression models applied in the individuals with asthma. N.B. Metacognitive sensitivity (logMratio) was fit using a hierarchical regression model combined with a mcmc sampling procedure, and thus the highest density interval (HDI) is presented instead of a p-value. Significance was taken at p < 0.05 (or a 95% HDI that does not span zero) (two-tailed).
| ‘Mood’ coefficient | T statistic | P value (or HDI) | Semi-partial R-squared | |
| Filter detection task: | ||||
| Number of filters (sensitivity) | -0.16 | -0.74 | 0.461 | 0.01 |
| Decision bias | 0.01 | 0.20 | 0.842 | < 0.01 |
| Average confidence | -3.46 | -1.56 | 0.125 | 0.04 |
| Metacognitive sensitivity (logMratio) | -0.28 | NA | (− 0.64:0.05) | NA |
| Attention network task: | ||||
| Alerting score | -6.49 | -1.05 | 0.299 | 0.02 |
| Orienting score | -5.74 | -0.86 | 0.394 | 0.01 |
| Executive score | 9.66 | 0.79 | 0.431 | 0.01 |
| Visual Dot Probe Task: | ||||
| Breathlessness interference score | 1.73 | 0.43 | 0.734 | < 0.01 |
| ‘Symptoms’ coefficient | T statistic | P value (or HDI) | Semi-partial R-squared | |
| Filter detection task: | ||||
| Number of filters (sensitivity) | 0.16 | 0.74 | 0.464 | 0.01 |
| Decision bias | -0.02 | -0.36 | 0.722 | < 0.01 |
| Average confidence | -1.73 | -0.78 | 0.441 | 0.01 |
| Metacognitive sensitivity (logMratio) | -0.08 | NA | (− 0.38:0.19) | NA |
| Attention network task: | ||||
| Alerting score | -6.27 | -1.01 | 0.315 | 0.01 |
| Orienting score | -7.22 | -1.08 | 0.284 | 0.02 |
| Executive score | 7.81 | 0.64 | 0.524 | 0.01 |
| Visual Dot Probe Task: | ||||
| Breathlessness interference score | -3.01 | -0.59 | 0.555 | 0.01 |