Table 3.
Bivariate correlations coefficients and Bayes Factors (BF) for all Pearson correlation between variables. FTND = Fagerstrom Test for Nicotine Dependence. Smoking-specific refers to smoking health risks not linked to COVID-19.
| 1 | 2 | 3 | 4 | 5 | 6 | |||
|---|---|---|---|---|---|---|---|---|
| 1 | Motivation to quit | – | ||||||
| 2 | Fear of COVID-19 | r | .05 | – | ||||
| BF10 | .11 | |||||||
| 3 | COVID-19 probability | r | .22*** | .33*** | – | |||
| BF10 | 25.20 | 56 × 103 | ||||||
| 4 | COVID-19 severity | r | −.02 | .57*** | .13* | – | ||
| BF10 | .08 | 22 × 1019 | .61 | |||||
| 5 | Smoking-specific probability | r | .10 | .23*** | .12† | .29*** | – | |
| BF10 | .24 | 41.78 | .40 | 32 × 102 | ||||
| 6 | Smoking-specific severity | r | .17** | .24*** | .16* | .10 | .30*** | – |
| BF10 | 2.43 | 76.53 | 1.72 | .28 | 77 × 102 | |||
| 7 | FTND | r | −.10 | .16* | −.07 | .20** | .11 | .05 |
| BF10 | .24 | 1.58 | .15 | 9.82 | .34 | .11 | ||
Significance levels are signalled thus: p < .1 = †; p < .05 = *; p < .01 = **; p < .001 = ***. Bayes factors are reported for all correlation coefficients. Bayes factors were calculated using a default stretched beta prior of 1 in JASP. Bayes factors above 3 denote moderate evidence for the experimental hypothesis, below .33 denotes moderate evidence for the null. Between .33 and 3 denotes inconclusive results requiring more data (Dienes, 2014).