Table 1.
Summary of Mediation Models and Sensitivity Analysis
| Type of Mediation Model Used in Analysis |
||||||
|---|---|---|---|---|---|---|
| Study | Sensitivity analysis | Effect sizes for sensitivity perameter | One mediator | Two parallel mediators | Sequential mediators | Statistical moduling |
| Single level (independent) data | ||||||
| Cox et al.(2013) | Yes | Yes | X→M→Y | SEM | ||
| Daniel et al. (2015) | Yes | X→M1→M2→M3→Y | ||||
| Harring et al. (2017) | Yes | No | X→M→Y | X→M1→M2→Y | SEM | |
| Imai, Keele, & Tingley (2010) | Yes | Yes | X→M→Y | GLM | ||
| Imai and Yamamato (2013) | Yes | Yes | X→(M1⊥M2)→Y | X→M1→M2→Y | GLM | |
| Velante et al. (2017) | Yes | Yes | X→M→Y | SEM | ||
| Multilevel (correlated) data | ||||||
| Bind et al. (2016) | No | Within X→M→Y | Generalized mixed model | |||
| Talloen et al. (2016) | Yesa | Yes | Within X→M→Y | Fixed effects and Linear mixed model | ||
| Tofighi and Kelly (2016) | Yes | Yes | Both Between and Within X→M→Y | SEM | ||
| Current study | Yes | Yes | BetweenX→(M1↔M2)→Y | SEM | ||
Note. GLM= generalized linear model; SEM=structural equation model. X, M, and Y denote independent, mediator, and outcome variables. The parentheses around the mediators identify parallel mediators. Symbol ⊥ indicates that the parallel mediators are independent and symbol ↔ indicates the parallel mediators are correlated.
a
Used sensitivity analysis by Imai et al. (2010).