6533b85ffe1ef96bd12c16cb
RESEARCH PRODUCT
Does self-efficacy influence academic results? A separable-effect mediation analysis
Chiara Di Mariasubject
causal mediation analysis separable effects iSP studySettore SECS-S/01 - Statisticadescription
In causal mediation analysis, natural effects are identified only under strict assumptions involving cross-world counterfactuals. An alternative approach recently developed, called separable, allows for identification of mediational effects in a wide range of models, since it relies on weaker assumptions than those required by natural effects. In this paper, the separable-effect approach is revised and an application to data is presented.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-01-01 |