Table 2.
Conditional Process Analysis | β | SE | t | p | LLCI–ULCI |
---|---|---|---|---|---|
Model 1 | |||||
Outcome: Escape motivation | |||||
Predictors: | |||||
Age | −0.009 | 0.014 | −0.668 | 0.505 | −0.037–0.018 |
Gender | 0.150 | 0.079 | 1.902 | 0.058 | −0.005–0.305 |
Parental monitoring | 0.101 * | 0.042 | 2.392 | 0.017 | 0.018–0.183 |
Shyness | 0.129 ** | 0.041 | 3.164 | 0.002 | 0.050–0.209 |
Monitoring × Shyness | 0.102 * | 0.041 | 2.474 | 0.014 | 0.021–0.183 |
Model 2 | |||||
Outcome: PMPU | |||||
Predictors: | |||||
Age | −0.031 ** | 0.012 | −2.672 | 0.008 | −0.054–0.008 |
Gender | −0.156 * | 0.066 | −2.352 | 0.019 | −0.287–0.026 |
Parental monitoring | 0.078 * | 0.035 | 2.198 | 0.028 | 0.008–0.148 |
Escape motivation | 0.612 *** | 0.035 | 17.571 | 0.000 | 0.544–0.681 |
Shyness | 0.124 *** | 0.035 | 3.582 | 0.000 | 0.056–0.191 |
Monitoring × Shyness | 0.063 + | 0.035 | 1.806 | 0.071 | −0.005–0.131 |
Conditional indirect effect analysis of model 1 | β | Boot SE | BootLLCI-BootULCI | ||
M − 1 SD | 0.007 | 0.060 | −0.111–0.125 | ||
M | 0.103 * | 0.042 | 0.021–0.186 | ||
M + 1 SD | 0.188 *** | 0.051 | 0.087–0.289 | ||
Conditional direct effect analysis of model 2 | β | Boot SE | BootLLCI-BootULCI | ||
M − 1 SD | 0.020 | 0.050 | −0.079–0.119 | ||
M | 0.080 * | 0.035 | 0.010–0.149 | ||
M + 1 SD | 0.132 ** | 0.044 | 0.046–0.217 |
Note. Bootstrap sample size = 5000. SE = standard error, LL = low limit, CI = confidence interval, UL = upper limit. + p < 0.10. * p < 0.05. ** p < 0.01. *** p < 0.001.