Table 3. Overall model: Prediction of change in purchasing behavior (frequency/quantity).
| Change in Purchasing Frequency | Change in Purchasing Quantity | |||||
|---|---|---|---|---|---|---|
| Predictors | b | 95% CIboot | p-value | b | 95% CIboot | p-value |
| Sex | .21 | .05 – .39 | .019 | -.09 | -.25 – .10 | .332 |
| Age | -.04 | -.12 – .03 | .262 | -.10 | -.17 – -.02 | .014 |
| Educational Level | -.12 | -.19 – -.05 | .001 | .10 | .02 – .16 | .008 |
| Household Size | -.01 | -.08 – .07 | .833 | .02 | -.04 – .11 | .609 |
| Social Desirability Bias | .00 | -.07 – .07 | .964 | -.02 | -.09 – .06 | .612 |
| Perceived Threat of COVID-19 | -.24 | -.33 – -.15 | < .001 | .22 | .13 – .30 | < .001 |
| Intolerance of Uncertainty | .05 | -.05 – .14 | .308 | -.01 | -.10 – .09 | .877 |
| Trait-Anxiety | -.04 | -.13 – .05 | .401 | .02 | -.08 – .11 | .744 |
| Media Exposure | -.11 | -.19 – -.03 | .006 | .12 | .05 – .20 | .002 |
| Risk Perception | -.10 | -.18 – -.02 | .009 | .11 | .03 – .20 | .004 |
| R2 / R2 adjusted | .142 / .129 | .136 / .123 | ||||
Multiple linear regression on the restricted sample (N = 678). In this analysis all predictors adding significant variance beyond the baseline model were entered in one step. Significant regression weights (p < .05) of the multiple regression analysis are printed in bold. All continuous variables were included as z-standardized variables. Coding for sex: female = 0, male = 1.