


In a Bootstrap mediated effect test, a p-value less than 0.05 indicates that the observed test statistic is extremely unlikely to occur assuming no mediated effect. The hypothesis of no mediation effect is rejected and the mediation effect is supported to reach statistical significance.
Interpretation of the p value in the Bootstrap mediation effect test results
In the Bootstrap mediation effect test, the p value is Key indicators for assessing the significance of mediation effects. A p value less than 0.05 indicates that the mediating effect has reached statistical significance, and a p value greater than 0.05 indicates that it has not reached significance.
The meaning of p value
The p value indicates that the test statistic (for example, Sobel test statistic) obtained under the assumption of no mediation effect is greater than or equal to The probability of an observation.
- p This means that the observed test statistic is extremely unlikely to occur under the assumption of no mediating effects. Therefore, the hypothesis of no mediating effect is rejected and the mediating effect is considered to be statistically significant.
- p > 0.05: This means that the observed test statistic has a high probability of occurring under the assumption of no mediation effect. Therefore, the hypothesis of no mediating effect cannot be rejected and it is considered that the mediating effect has not reached statistical significance.
Note:
- The p value is a probability judgment, not a deterministic judgment.
- Even if the p value reaches the significance level, the actual significance of the mediation effect needs to be interpreted with caution.
- In addition to p-values, other metrics such as confidence intervals and effect sizes should also be considered.
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