RMPW decomposes total effects into natural direct and indirect effects, with the indirect effect further split into a pure indirect effect and a natural treatment-by-mediator interaction effect¶

Claim · All claims
Evidence · 1 study (2 entries) · theoretical r3 · q2
Currency · newest study 2015 · not yet checked against its sources · not reviewed by a person

Subclaims¶

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? RMPW decomposes total effects into natural direct and indirect effects under treatment-by-mediator interaction. → Guanglei Hong 2015 q2 i? The indirect effect can be further decomposed into a pure indirect effect and a natural treatment-by-mediator interaction effect. → Guanglei Hong 2015 (2)

Evidence¶

Guanglei Hong 2015¶

Guanglei Hong, Jonah Deutsch, Heather D. Hill. (2015). Ratio-of-Mediator-Probability Weighting for Causal Mediation Analysis in the Presence of Treatment-by-Mediator Interaction. Journal of Educational and Behavioral Statistics, vol. 40, no. 3. https://www.mathematica.org/publications/ratioofmediatorprobability-weighting-for-causal-mediation-analysis-in-the-presence

q2 · i? · theoretical · r3

Analytical contribution stated in the article's abstract, backed by the article's mathematical proof and simulation results for the parametric and nonparametric RMPW procedures; no effect size is printed in the available text.

"This article shows how the ratio-of-mediator-probability weighting (RMPW) method can be used to decompose total effects into natural direct and indirect effects in the presence of treatment-by-mediator interactions."

Guanglei Hong 2015 (2)¶

q2 · i? · theoretical · r3

A second decomposition result stated in the abstract and supported by the article's mathematical proof; the printed text reports no numerical effect size for this decomposition.

"The indirect effect can be further decomposed into a pure indirect effect and a natural treatment-by-mediator interaction effect."

Discussion¶

Conventional mediation methods generate biased results when the mediator–outcome relationship depends on treatment condition — related
RMPW was applied to test whether employment mediated the effect of an experimental welfare-to-work program on maternal depression — a narrower finding that bears on this claim
Correct specification of the mediator propensity score models is crucial when parametric RMPW is applied — related
RMPW requires relatively few assumptions about outcome and mediator distributions and outcome-model functional form compared with model-based alternatives — related

Page metadata

Field	Value
`type`	`claim`
`id`	`rmpw-decomposes-total-indirect-interaction-effects`
`title`	`RMPW decomposes total effects into natural direct and indirect effects, with the indirect effect further split into a pure indirect effect and a natural treatment-by-mediator interaction effect`
`description`	`RMPW decomposes total effects into natural direct and indirect effects, with the indirect effect further split into a pure indirect effect and a natural treatment-by-mediator interaction effect`
`status`	`review`
`evidence_strength`	`moderate`
`newest_evidence`	`2015`
`generated`	by `process:wiki-ingest` on `2026-10-08`
`trust`	unverified — no one has confirmed this page's content
`sources`	2 — `guanglei-hong-2015`, `guanglei-hong-2015-2`

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