https://orcid.org/0000-0003-2176-6331
Figures & data
Table 1. Descriptive statistics and correlations among the variables.
Table 2. Results of the Bayesian GLM for motivation variables.
Figure 1. Plots of interaction effects of behavioral intention × habit and behavioral willingness × habit on future preventive behavior. Note: For example, the effect of behavioral intention on behavior with high levels of habit (+1 SD) was bMAP = .263 (bEAP = .248; 95% CI = .065 to .435), with a mean level of habit (average) at bMAP = .063 (bEAP = .065; 95% CI = −.065 to .195), and a low level of habit (−1 SD) at bMAP = −.113 (bEAP = −.117; 95% CI = −.238 to .003). Moreover, the effect of behavioral willingness on behavior with high levels of habit (+1 SD) was bMAP = .004 (bEAP = .003; 95% CI = −.079 to .085) with the mean level of habit (average) at bMAP = −.075 (bEAP = −.073; 95% CI = −.151 to .005) and a low level of habit (−1 SD) at bMAP = −.159 (bEAP = −.148; 95% CI = −.248 to −.049).
Table 3. Results of the Bayesian GLM for future preventive behaviors.
Data availability statement
A questionnaire, data files, and output of analyses are available online: https://osf.io/23nq9/?view_only=9ffb03d244b24cd9b2884575f57a0475