Test mediation hypotheses by estimating the indirect effect using bootstrapped confidence intervals. Implement the Baron-Kenny approach and process macro method.
| Constant | Symbol | Value |
|---|---|---|
| Speed of light | c | 2.99792458×10⁸ |
| Planck's constant | h | 6.62607015×10⁻³‴ |
| Boltzmann constant | kʙ | 1.380649×10⁻²³ |
| Avogadro's number | Nₐ | 6.02214076×10²³ |
| Gravitational constant | G | 6.6743×10⁻¹¹ |
| Gas constant | R | 8.31446 |
| Elementary charge | e | 1.602176634×10⁻¹⁹ |
| Electron mass | mₑ | 9.1093837015×10⁻³¹ |
| Proton mass | mₚ | 1.67262192369×10⁻²⁷ |
| Fine-structure constant | α | 7.2973525693×10⁻³ |
Test mediation hypotheses by estimating the indirect effect using bootstrapped confidence intervals. Implement the Baron-Kenny approach and process macro method
Each component has a specific meaning:
Note: Interpret the mediation analysis result against the clinical thresholds and context described above.
Enter the bootstrapped confidence intervals for the patient or scenario you are assessing. Test mediation hypotheses by estimating the indirect effect using bootstrapped confidence intervals. Implement the Baron-Kenny approach and process macro method. Use the mediation analysis result to inform your clinical assessment.